From 101ea18c022e268ce96596c8ccebfa28d2abf587 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 14:49:57 +0200 Subject: [PATCH 01/37] atmosphere.ipynb --- docs/examples/tutorials/atmosphere.py | 61 ++++++++ docs/tutorials/atmosphere.ipynb | 208 -------------------------- 2 files changed, 61 insertions(+), 208 deletions(-) create mode 100644 docs/examples/tutorials/atmosphere.py delete mode 100644 docs/tutorials/atmosphere.ipynb diff --git a/docs/examples/tutorials/atmosphere.py b/docs/examples/tutorials/atmosphere.py new file mode 100644 index 0000000000..49db4ea56a --- /dev/null +++ b/docs/examples/tutorials/atmosphere.py @@ -0,0 +1,61 @@ +"""" +``atmosphere.py`` tutorial +========================== +""" + + +# %% +# This tutorial needs your help to make it better! +# This tutorial requires pvlib > 0.6.0. +# +# Authors: +# * Will Holmgren (@wholmgren), University of Arizona. 2015, March 2016, +# August 2018. + + +import datetime + +import matplotlib.pyplot as plt +import pandas as pd + +from pvlib import solarposition, atmosphere +from pvlib.location import Location + +# %% +tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson') +print(tus) + +times = pd.date_range(start=datetime.datetime(2014, 6, 24), + end=datetime.datetime(2014, 6, 25), + freq='1Min', tz=tus.tz) + +solpos = solarposition.get_solarposition(times, tus.latitude, tus.longitude) +print(solpos.head()) +solpos.plot() + +# %% + +atmosphere.get_relative_airmass(solpos['zenith']) \ + .plot(label='kastenyoung1989, zenith') +atmosphere.get_relative_airmass(solpos['apparent_zenith']) \ + .plot(label='kastenyoung1989, app. zenith') +atmosphere.get_relative_airmass(solpos['zenith'], model='young1994') \ + .plot(label='young1994, zenith') +atmosphere.get_relative_airmass(solpos['zenith'], model='simple') \ + .plot(label='simple, zenith') +plt.legend() +plt.ylabel('Airmass') +plt.ylim(0, 100) + +# %% +plt.plot(solpos['zenith'], + atmosphere.get_relative_airmass(solpos['zenith'], model='simple'), + label='simple') +plt.plot(solpos['zenith'], + atmosphere.get_relative_airmass(solpos['apparent_zenith']), + label='default') +plt.xlim(0, 100) +plt.ylim(0, 100) +plt.xlabel('Zenith angle (deg)') +plt.ylabel('Airmass') +plt.legend() diff --git a/docs/tutorials/atmosphere.ipynb b/docs/tutorials/atmosphere.ipynb deleted file mode 100644 index df574d747d..0000000000 --- a/docs/tutorials/atmosphere.ipynb +++ /dev/null @@ -1,208 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# ``atmosphere.py`` tutorial\n", - "\n", - "This tutorial needs your help to make it better!\n", - "\n", - "This tutorial requires pvlib > 0.6.0.\n", - "\n", - "Authors:\n", - "* Will Holmgren (@wholmgren), University of Arizona. 2015, March 2016, August 2018." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# built in python modules\n", - "import datetime\n", - "import logging\n", - "import os\n", - "import inspect\n", - "\n", - "# python add-ons\n", - "import numpy as np\n", - "import pandas as pd" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import pvlib\n", - "from pvlib.location import Location" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location: \n", - " name: Tucson\n", - " latitude: 32.2\n", - " longitude: -111\n", - " altitude: 700\n", - " tz: US/Arizona\n" - ] - } - ], - "source": [ - "print(tus)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " apparent_zenith zenith apparent_elevation \\\n", - "2014-06-24 00:00:00-07:00 124.039086 124.039086 -34.039086 \n", - "2014-06-24 00:01:00-07:00 124.065488 124.065488 -34.065488 \n", - "2014-06-24 00:02:00-07:00 124.090882 124.090882 -34.090882 \n", - "2014-06-24 00:03:00-07:00 124.115267 124.115267 -34.115267 \n", - "2014-06-24 00:04:00-07:00 124.138641 124.138641 -34.138641 \n", - "\n", - " elevation azimuth equation_of_time \n", - "2014-06-24 00:00:00-07:00 -34.039086 352.695507 -2.366772 \n", - "2014-06-24 00:01:00-07:00 -34.065488 352.970528 -2.366922 \n", - "2014-06-24 00:02:00-07:00 -34.090882 353.245771 -2.367072 \n", - "2014-06-24 00:03:00-07:00 -34.115267 353.521228 -2.367222 \n", - "2014-06-24 00:04:00-07:00 -34.138641 353.796891 -2.367372 \n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "times = pd.date_range(start=datetime.datetime(2014,6,24), end=datetime.datetime(2014,6,25), freq='1Min', tz=tus.tz)\n", - "\n", - "solpos = pvlib.solarposition.get_solarposition(times, tus.latitude, tus.longitude)\n", - "print(solpos.head())\n", - "solpos.plot();" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "pvlib.atmosphere.get_relative_airmass(solpos['zenith']).plot(label='kastenyoung1989, zenith')\n", - "pvlib.atmosphere.get_relative_airmass(solpos['apparent_zenith']).plot(label='kastenyoung1989, app. zenith')\n", - "pvlib.atmosphere.get_relative_airmass(solpos['zenith'], model='young1994').plot(label='young1994, zenith')\n", - "pvlib.atmosphere.get_relative_airmass(solpos['zenith'], model='simple').plot(label='simple, zenith')\n", - "plt.legend()\n", - "plt.ylabel('Airmass')\n", - "plt.ylim(0,100);" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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O/BNYATRlNhwRkfywN3yJU1E8v97FAckljmJ3/17GIxERySPb9tQB0L+kV8SRpF9S/TjM7CtmNszMBjR/Mh6ZiEg3tr05cZTmX+JIpsZRB9wE/DvgYZmjG+UiIh3avifoydC/JP9emJpM4vgeQSfALZkORkQkX3wQ1jj65WHiSKapaiWwJ9OBiIjkkw9aahw9s6mqEVhuZs8Atc2FehxXRKRjH1Tn783xZBLHw+FHRESS1HyPIx+bqvabOMysALjM3fWqWBGRFGzvqY/junsjsMfM+mYpHhGRvLAtj2+OJ9NUVQOsMLMFQHVzoe5xiIh0bMvu4JbwwWVFEUeSfskkjr+GHxERSVLVziBxDDmouJM1u59kRsedm41ARETySdWu5hpH/t3j6DBxmNl97v45M1tBa4/xZu7uYzMbmohI9xcv6FmDHM4Mp+cmlBnBO8d/kLGIREQkp3WYONx9Yzh9x8zGAV8APge8BTyYnfBERCTX7K+p6mjgEuDzwFbgXsDc/YwsxSYiIjlof01Va4BFwHnuvg7AzL6blahERCRn7e+uzYXA+8AzZvY/ZjaZ4B5HWphZgZktM7PHwvkBZrbAzNaG0/7pOpaIiKRPh4nD3R9y94uB0cCzwHeBIWZ2m5lNScOxZwKrE+avBRa6+yhgYTgvIiI5ptPnxNy92t3vdvdzCZ6oWk4Xf9TNbDhwDnB7QvH5QHOfkbnABV05hoiIZEZKDxi7+zZ3/527f6qLx/0l8H2gKaFsSMKTXBuBwe1taGZXmVmFmVVs3ry5i2GIiEiqst4zxczOBarcfcmBbO/uc9y93N3LBw0alOboRES6rr6xqfOVurFkxqpKt1OBaWb2aaAYOMjM/ghsMrNh7r7RzIYBVRHEJiLSZe/vqAHgkL75N04VRFDjcPfr3H24u48g6CfytLtfCswDZoSrzQAeyXZsIiLp8O624G3bwweURBxJZuTSICo3AmeZ2VrgrHBeRKTbefeDIHF8JE8TRxRNVS3c/VmCR31x963A5CjjERFJh3e37QXgsP75mThyqcYhIpIXmmschw3oHXEkmaHEISKSZuu3NSeOdmocy+6GFQ9kOaL0irSpSkQkHzU3VbV7j+ORbwTTEz6bxYjSSzUOEZE0a37f+KA8fN84KHGIiGRMLNZmXNja3dEEkmZKHCIi2fL2omB6xKQoo+gyJQ4RkWxZ91QwPbJ79zxQ4hARyZa184PpqLOijaOLlDhERLJl+/pgOmh0tHF0kRKHiEgaNTV55ytZ2l6mGgklDhGRNNqwI+jDMfSg/BwZF5Q4RETSal1V8MjtUYPL9l2wZ1swte7/s9v9z0BEJId0mDj+98lgOvrcLEeUfkocIiJptGrDTgBGD+2z74LVjwXTY8/LckTpp8QhIpJGr1RuB2DsYf32XfD6X4PpqClZjij9lDhERNLojc3VAIxq21TVrHe/9su7ESUOEZEMiBfk789r/p6ZiEiuqNkZdQRppcQhIpJprz8RTI85J9o40kSJQ0QkTTrsNb7ivmDajV/elEiJQ0QkTSo/6KDXePOouMd8OssRZYYSh4hImlS8E/QOnziif/srFObHMCRKHCIiabLknQ8AKD88IXF4EoMedjNKHCIiadKaOAa0Fq7/RzAdPCaCiDJDiUNEJE3WvL8LgGOHJQw3suSuYFr+pewHlCFKHCIiabZP579X7w2mJ1wUTTAZoMQhIpINeTDUSDMlDhGRNKhvbPpwYWN99gPJAiUOEZE0WBreGD9xeN/WwlWPBNORn4wgosxR4hARSYMnXnsfgCnHDWktfOGXwfQT34kgosxR4hARSYPHV2wE4JwTD2kt3LQimB5xRgQRZY4Sh4hIGlTtqgVg5MGlQUFixz+zCCLKHCUOEZFMePOZYDr4uGjjyAAlDhGRLqptaPxw4dOzg+kZP8huMFmQ9cRhZoeZ2TNmttrMVprZzLB8gJktMLO14bSDUcJERHLLU6uqADht1MGthe9VBNPR50YQUWZFUeNoAP6Pux8LfBz4ppkdB1wLLHT3UcDCcF5EJOfdW/EuAJ8rPywoaKhrXZhn9zcggsTh7hvdfWn4fRewGjgUOB+YG642F7gg27GJiByI5/93MwBnNT+Ku/h3wfTY8yKKKLMivcdhZiOA8cBLwBB33whBcgEGd7DNVWZWYWYVmzdvzlaoIiKdKi4sCL7M/2EwnTI7umAyKLLEYWZlwIPAd9w96Te5u/scdy939/JBgwZlLkARkSRsq67reGH/w7MXSBZFkjjMrJAgadzt7n8JizeZ2bBw+TCgKorYRERScfuiNwH44slhkljzeDAdeFREEWVeFE9VGXAHsNrd/zth0TxgRvh9BvBItmMTEUnVrc++AcA3JoWJ4v7wZ2z67yKKKPPiERzzVOAyYIWZLQ/LfgDcCNxnZlcC64H8GbxeRPLe0L7FQW/xxrDpanh5tAFlUNYTh7u/AHT0fNrkbMYiItIVb27evW/B0vDB0KEnZD+YLFLPcRGRA/R//7oagBvOC4cVeXRmMP3cHyKKKDuUOEREDtDTa4JneC79+OGwZ1vrggEjI4ooO5Q4REQOwNbdtS3f4wUx+NPFwcwZ/x5RRNmjxCEicgCuefBVAL531tHQ1ASVi4MFp18dYVTZEcVTVSIi3d5Tq4Nmqm+ecRTMD2sZh5+al2NTtaUah4hIil56c2vL9wID/vmbYOYL90YTUJYpcYiIpOjiOf8E4IGvndw6LtXBx0BRnwijyh4lDhGRFGzaWdPyvXx4KfzjlmDmKwsjiij7lDhERFIw9ZfPA/Cz88fAnDOCwuMv7DG1DVDiEBFJ2obte/lgTz0Alx1ZA1UrgwUX3hFhVNmnp6pERJJ0yo1PA3Dj9OPh1hODwovu6hFPUiVSjUNEJAlPrNjY8v2S178dfOlVBmOmRxRRdJQ4REQ6UdvQyNfvXgrA36fXwpvPBgu+/1Z0QUVIiUNEpBPH/fhvAFx8ZAOHPvGloPCK+RDvFWFU0VHiEBHZjxvmraSxyenDHn7x3heDwsnXw0c+Fm1gEVLiEBHpwEPLKrnrxbcpZS8rir8cFB51Fpz2vWgDi5gSh4hIO555vYrv3vsK/djFyuIrg8KhJ8ClD0QbWA5Q4hARaeOxVzfwpTtf5jh7m+XFXw0KD50IX3sh2sByhPpxiIgkuPGJNfz2uTf4WsE8ri28Jygcfxmcf0u0geUQJQ4REaChsYnxP1tAY81u3i6+onXBBbfBuC9EF1gOUuIQkR7v2deruPzOl/lqwaNcV/zn1gXfWw0HHRJdYDlKiUNEeqyqnTV89OcLOTm2kreLZ7cumDADpv06usBynBKHiPQ4H1TXceFtL3L4thd4u/imfRfOWgdlg6IJrJtQ4hCRHmPVhp1cdOtzzOIPPB3/GyR2/P7KM3DohMhi606UOEQkr9XUN/KzR1eyq+Ieft3rN6xs+6v39RdhyJhIYuuulDhEJO9sq67jpseW0+/VO7im8B5mw761i2PPgwt+C0VlEUXYvSlxiEi3V1PfyAOL32T1gju5oukvHBnbyH8AFLau0zToWGIX3QmDj40qzLyhxCEi3Yq7s/SdD/j7M48x+I0HuST+LMXApc0rJIyH0XDsBcSn/BT6H65hMtJIiUNEcpK780bVLpYtfo66VU8wsfp5RsfexYCJ4aftL9juwyZR9qlZMOITYKYfuAzRdRWRyOzcW8fK1avYuvp5YpUvcUT1K4yOvQuAAUeFH+BDI+ttKzua3iddSu/yS6F0IAC6Y5EdShwiklbuzqYPdrF+3Qp2vv0KvmklZTvXcmjtm3wktnmfdQ8CTk4saKc9qap4BA1HnMWQj32WgsM+CrFgpQEZOwPpjBKHiHyIu7N95262bHyLnZveZu+W9TR+UEls13uU7KlkYP1GDvUqCq3xQ9saMDT87KODmwwfxAawpd9Y4iNP5pATP0XRYRMgVtCyfHC6TkrSRolDpJuqq29kx87tVG/fQvWOzdTs3Ebd7m00Vm+B6q3E9m4hXrONoroPKKnfTp+mHfT3HRRZfaf7NqB/+NnvSvuxIT6c7WWjaBp8HGUfOZGhR02gePCR+yQFkjmO5BwlDhGCv7BrG5qoraujrmYP9TXV1NfsoaG2mobaPTTUVNNUv4em2j001e2lsW4PHn6o3wv1e6ChhljDXqxhL7HGGuINNcSbaog31dLLayjyWnp7DSXUtPuXeqp6AYPCT9I6+bFP1ECMLbGD2VE4hL29h9LY5xAKBxxG6ZAjGTj8GPoOHYn1Kulw+0PCj+QfJY4Ubat6j3eWPxPMNDWAO+5NeFMT0ARNTeCNeJPj3oh5MPUmBw+W4R6s403Q5GFZUzDvjjUvc8e8qWVZ8/fmj3lwTGuZb8Raph5OG7FwneblMYLvMW/CCMu8KViP4HvLOrQui7WdT/gUhNvErSnK/zwHzIDi8JPxA6XRXorYZWXsifWhJn4Qdb360tCrHw3FA6BkIPGDBlF00GBK+g+hz4ChHDRwGL2KS8E6DyROB01O0uPlXOIws6nAr4AC4HZ3vzHikPYx4NbjdFOuPWn+QYxKAzHq6EUdhdRaEXVWRJ0VUx8roiFWRH1BMQ2xYpoKimmK98bjvaEw/PQqJVZYTLy4lHhRKYVFJfTqXUZR71KKSkopLulD79J+9OpdBvFenQeThN7hRySbcipxmFkB8BvgLKASeNnM5rn7qmgja7Vyyp+pf+HXOIYTwy0GFgvmzcAKcGJgFiwjXG4WToN5LAYE61gshlsBYGCGWcG+64Ufi7WZb/7eUh4PvxcE7cixAmKxgvAYcYgVBNvECsJ9xbGCGMTimBVgzeWxePi9gFgs2LagIE5BPE48XkCsoJB4QQEF8QLi8V4UFBQQjxcQLygkHo8RLwiPk8RftbkmHn46boARkZxKHMBHgXXu/iaAmd0DnA/kTOIYc8qn4ZRPRx2GiEhkci1xHAq8mzBfCXwscQUzuwq4KpytNbPXshRbrjsY2BJ1EDlC16KVrkUrXYtWx3Rl41xLHO21bfg+M+5zgDkAZlbh7uXZCCzX6Vq00rVopWvRSteilZlVdGX7XBv3qxI4LGF+OLAholhERKQduZY4XgZGmdlIM+sFXALMizgmERFJkFNNVe7eYGbfAv5G8Dju79195X42mZOdyLoFXYtWuhatdC1a6Vq06tK1MHfvfC0REZFQrjVViYhIjlPiEBGRlHTbxGFmU83sdTNbZ2bXRh1PNpnZYWb2jJmtNrOVZjYzLB9gZgvMbG047RGDjppZgZktM7PHwvkeeR0AzKyfmT1gZmvC/z9O7onXw8y+G/7beM3M/mxmxT3pOpjZ782sKrGf2/7O38yuC39LXzezszvbf7dMHAlDk/wLcBzweTM7LtqosqoB+D/ufizwceCb4flfCyx091HAwnC+J5gJrE6Y76nXAYJx3p5099HAWILr0qOuh5kdCnwbKHf34wketLmEnnUd7gKmtilr9/zD345LgDHhNreGv7Ed6paJg4ShSdy9DmgemqRHcPeN7r40/L6L4MfhUIJrMDdcbS5wQTQRZo+ZDQfOAW5PKO5x1wHAzA4CTgfuAHD3OnffTs+8HnGgt5k1Dz22gR50Hdz9eWBbm+KOzv984B53r3X3t4B1BL+xHequiaO9oUkOjSiWSJnZCGA88BIwxN03QpBc6BkvT/sl8H0gcTz3nngdAI4ANgN3hk13t5tZKT3serj7e8DNwHpgI7DD3efTw65DOzo6/5R/T7tr4uh0aJKewMzKgAeB77j7zqjjyTYzOxeocvclUceSI+LABOA2dx8PVJPfzTHtCtvuzwdGErxLqtTMLo02qpyW8u9pd00cPX5oEjMrJEgad7v7X8LiTWY2LFw+DKiKKr4sORWYZmZvEzRXfsrM/kjPuw7NKoFKd38pnH+AIJH0tOtxJvCWu29293rgL8Ap9Lzr0FZH55/y72l3TRw9emgSMzOCduzV7v7fCYvmATPC7zOAR7IdWza5+3XuPtzdRxD8P/C0u19KD7sOzdz9feBdM2se+XQywSsJetr1WA983MxKwn8rkwnuA/a069BWR+c/D7jEzIrMbCQwCli8vx11257jZvZpgvbt5qFJZkccUtaY2SeARcAKWrcO0OwAAASLSURBVNv2f0Bwn+M+4CME/3gucve2N8jykplNAma5+7lmNpCeex3GETwo0At4E/gSwR+IPep6mNlPgIsJnkBcBnwZKKOHXAcz+zMwiWAo+U3A9cDDdHD+ZvbvwBUE1+s77v7EfvffXROHiIhEo7s2VYmISESUOEREJCVKHCIikhIlDhERSYkSh4iIpESJQ3KamU03s+VtPk1m9i8HuL+fmtmZ4ffvmFlJwrLd6Yo7yVhuMLNZKW5zgZn9uINlBxy/md1sZp860O2lZ9HjuNKtmNlVwL8CZ7h7U2frd7KvtwlGUN0Szu9297KuR5n08W8Adrv7zSls8yIwrTnmNssOOH4zOxz4H3efciDbS8+iGod0G2Z2NPBj4LLmpGFmV5vZy2b2atjpCzMbEb6L4n/CdzLMN7Pe4bK7zOyzZvZtgnGMnjGzZxKOMdvMXjGzf5rZkHZi+KiZvRgOIvhicy9tM7vczP5iZk+G7zv4z4RtrjSz/zWzZ8OYbmlnv0eG2y4xs0VmNrqD869NSHQjzewf4fn/rM26H7ouYfmPLHhXxwIL3lMxC8Dd3wEGmtnQ5P+LSE+lxCHdQjg2158IeoevD8umEAyP8FFgHDDRzE4PNxkF/MbdxwDbgQsT9+fuvyYYj+cMdz8jLC4F/unuY4Hnga+0E8oa4PRwEMEfAz9PWDaOoLfyCcDFFrxw6xDgRwTvTTkL+FBCCM0B/s3dJwKzgFvbWedUYGnC/K8IBjQ8CXi/ubCj62Jm5eF1GA98Bihvs/+l4TFE9isedQAiSfoZsNLd70komxJ+loXzZQQ/mOsJBrlbHpYvAUYkcYw64LGEbc5qZ52+wFwzG0UwgmhhwrKF7r4DwMxWAYcTDPnwXMLQDvcDRyfu0IJRjk8B7g+GVgKgqJ1jDyMYNr3ZqbQmxD8Avwi/d3Rd+gCPuPve8LiPttl/FUEtTGS/lDgk54XjUF1IMNLrPouA/3D337VZfwRQm1DUCPRO4lD13nrTr5H2/338DHjG3aeHx3k2YVnbY8Zpf8jqtmLAdncf18l6ewkSV6L2blJ2dF2+28n+i8NjiOyXmqokp1nwboU7gS+GbztM9DfgivAvdszsUDNL5eU8uwj+Ck9FX+C98PvlSay/GPikmfW34G10F7ZdIXyXyltmdhEEox+b2dh29rUaOCph/u8EowJD8MBAs46uywvAeRa8f7uM4M2JiY4GXkOkE0ockuu+RvCmstvaPJJ7cfhWtz8B/zCzFQTvn0glEcwBnki8OZ6E/wT+w8z+TjAy836Fb6P7OcHIxU8RDHO+o51V/xW40sxeAVbS/quQnwfGW2t71kyC982/TEJNpKPr4u4vEwyh/QrBOyoqmmMJ7yEdFZaJ7JcexxXJMDMrc/fdYY3jIYLXADx0gPv6FfCouz/VxVhKCBLRVe6+1MymAxPc/UcHsl/pWVTjEMm8G8xsOUEz0FsE70U4UD8HSjpdq2NzwliWAg+6e/NTWnHgv7qwX+lBVOMQEZGUqMYhIiIpUeIQEZGUKHGIiEhKlDhERCQlShwiIpKS/w9iDU07of7hdQAAAABJRU5ErkJggg==\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(solpos['zenith'], pvlib.atmosphere.get_relative_airmass(solpos['zenith'], model='simple'), label='simple')\n", - "plt.plot(solpos['zenith'], pvlib.atmosphere.get_relative_airmass(solpos['apparent_zenith']), label='default')\n", - "plt.xlim(0,100)\n", - "plt.ylim(0,100)\n", - "plt.xlabel('Zenith angle (deg)')\n", - "plt.ylabel('Airmass')\n", - "plt.legend();" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} From ee4b30ee2cd95dd4fb8f67943007f0b2afe68d4e Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 16:59:33 +0200 Subject: [PATCH 02/37] List fix --- docs/examples/tutorials/atmosphere.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/examples/tutorials/atmosphere.py b/docs/examples/tutorials/atmosphere.py index 49db4ea56a..a1cd7ed820 100644 --- a/docs/examples/tutorials/atmosphere.py +++ b/docs/examples/tutorials/atmosphere.py @@ -9,7 +9,7 @@ # This tutorial requires pvlib > 0.6.0. # # Authors: -# * Will Holmgren (@wholmgren), University of Arizona. 2015, March 2016, +# - Will Holmgren (@wholmgren), University of Arizona. 2015, March 2016, # August 2018. From accf4c25129d9049c3e3e014fbbbec1708833612 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 17:40:08 +0200 Subject: [PATCH 03/37] Irradiance tuto, missing TODOs --- docs/examples/tutorials/atmosphere.py | 2 + docs/examples/tutorials/irradiance.py | 724 ++++++++++++++++++++++++++ 2 files changed, 726 insertions(+) create mode 100644 docs/examples/tutorials/irradiance.py diff --git a/docs/examples/tutorials/atmosphere.py b/docs/examples/tutorials/atmosphere.py index a1cd7ed820..14610f4224 100644 --- a/docs/examples/tutorials/atmosphere.py +++ b/docs/examples/tutorials/atmosphere.py @@ -22,6 +22,7 @@ from pvlib.location import Location # %% + tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson') print(tus) @@ -48,6 +49,7 @@ plt.ylim(0, 100) # %% + plt.plot(solpos['zenith'], atmosphere.get_relative_airmass(solpos['zenith'], model='simple'), label='simple') diff --git a/docs/examples/tutorials/irradiance.py b/docs/examples/tutorials/irradiance.py new file mode 100644 index 0000000000..2f5041f4d5 --- /dev/null +++ b/docs/examples/tutorials/irradiance.py @@ -0,0 +1,724 @@ +""" +irradiance.py tutorial +====================== +""" + +# %% +# This tutorial explores some of the functions available in the ``pvlib`` +# module ``irradiance.py``. +# +# This tutorial requires pvlib >= 0.6.0. +# +# Authors: +# - Will Holmgren (@wholmgren), University of Arizona. July 2014, April 2015, +# July 2015, March 2016, July 2016, February 2017, August 2018. + +import matplotlib.pyplot as plt + +# built in python modules +import datetime + +# python add-ons +import numpy as np +import pandas as pd + +import pvlib + +# %% +## Table of contents +# TODO +# 1. [Extraterrestrial radiation](#Extraterrestrial-radiation) +# 2. [Clear sky models](#Clear-sky-models) +# 3. [Diffuse ground](#Diffuse-ground) +# 4. [Diffuse sky](#Diffuse-sky) +# 1. [Isotropic](#Isotropic-model) +# 2. [Klucher](#Klucher-model) +# 3. [Reindl](#Reindl-model) +# 4. [Hay-Davies](#Hay-Davies-model) +# 5. [Perez](#Perez-model) +# 5. [Angle of incidence](#Angle-of-incidence-functions) +# 6. [total_irrad](#total_irrad) + +# %% +# Extraterrestrial radiation +# -------------------------- +# Many solar power algorithms start with the irradiance incident on the top of +# the Earth's atmosphere, often known as the extraterrestrial radiation. +# ``pvlib`` has four different algorithms to calculate the yearly cycle of the +# extraterrestrial radiation given the solar constant. As of pvlib 0.4, each +# method can accept many different input types (day of year, arrays of day of +# year, datetimes, DatetimeIndex, etc.) and will consistently return the +# appropriate output type. + +# DatetimeIndex in yields a TimeSeries out +times = pd.date_range('2014-01-01', '2015-01-01', freq='1h') + +spencer = pvlib.irradiance.get_extra_radiation(times, method='spencer') +asce = pvlib.irradiance.get_extra_radiation(times, method='asce') +ephem = pvlib.irradiance.get_extra_radiation(times, method='pyephem') +nrel = pvlib.irradiance.get_extra_radiation(times, method='nrel') + +spencer.plot(label='spencer') +asce.plot(label='asce') +ephem.plot(label='pyephem') +nrel.plot(label='nrel') +plt.legend() +plt.ylabel('Extraterrestrial radiation (W/m^2)') + +# %% +# The ``pyephem`` and ``nrel`` methods are the most accurate. +# However, as shown in the plot below, the difference between them and +# the spencer method is only +/-2 W/m^2 over the entire year. + +et_diff = spencer - ephem +et_diff.plot() +plt.ylabel('spencer-ephem (W/m**2)') + +# %% +# The intraday squiggles are due to the fact that the asce and spencer methods +# will cast a DatetimeIndex into integer days of year, while the pyephem and +# nrel methods also use the time of day. +# +# The difference between the nrel and pyephem methods is negligible. + +et_diff = nrel - ephem +et_diff.plot() +plt.ylabel('nrel-ephem (W/m**2)') + +# %% +# You can also control the solar constant. +# Recent literature suggests that the solar constant is 1361 $W/m^2$ rather +# than the commonly accepted 1367 $W/m^2$. + +spencer_1361 = pvlib.irradiance.get_extra_radiation(times, method='spencer', solar_constant=1361) + +spencer.plot(label='default 1366.7') +spencer_1361.plot(label='1361') +plt.legend() +plt.title('Impact of solar constant') +plt.ylabel('ET Irradiance (W/m^2)') + +# %% +# Compare the time it takes to do the calculations. + +times = pd.date_range(start='2015', end='2016', freq='1min') + +# NBVAL_SKIP TODO: USE TIMEIT.TIMEIT +%timeit spencer = pvlib.irradiance.get_extra_radiation(times, method='spencer') +%timeit asce = pvlib.irradiance.get_extra_radiation(times, method='asce') +%timeit ephem = pvlib.irradiance.get_extra_radiation(times, method='pyephem') +%timeit nrel = pvlib.irradiance.get_extra_radiation(times, method='nrel') +%timeit nrel = pvlib.irradiance.get_extra_radiation(times, method='nrel', + how='numba') + +# %% +# In addition to DatetimeIndex input, the methods also work for various scalar +# datetime-like formats as well as scalar and array day of year input. + +methods = ['spencer', 'asce', 'pyephem', 'nrel'] + +# pandas timestamp input +times = pd.Timestamp('20161026') +for method in methods: + dni_extra = pvlib.irradiance.get_extra_radiation(times, method=method) + assert isinstance(dni_extra, float) + print(times, method, dni_extra) + + +# date input +times = datetime.date(2016, 10, 26) +for method in methods: + dni_extra = pvlib.irradiance.get_extra_radiation(times, method=method) + assert isinstance(dni_extra, float) + print(times, method, dni_extra) + + +# integer doy input +times = 300 +for method in methods: + dni_extra = pvlib.irradiance.get_extra_radiation(times, method=method) + assert isinstance(dni_extra, float) + print(times, method, dni_extra) + + +# array doy input +times = np.arange(1, 366) +for method in methods: + dni_extra = pvlib.irradiance.get_extra_radiation(times, method=method) + assert isinstance(dni_extra, np.ndarray) + plt.plot(times, dni_extra, label=method) + +plt.legend() +plt.ylabel('Extraterrestrial radiation (W/m^2)') + +# %% +# Clear sky models +# ---------------- +# See the online documentation for clear sky modeling examples. +# TODO: LINK LINK +# http://pvlib-python.readthedocs.io/en/stable/user_guide/clearsky.html +# +# Here we only generate data for the functions below. + +tus = pvlib.location.Location(32.2, -111, 'US/Arizona', 700, 'Tucson') +times = pd.date_range(start='2016-01-01', end='2016-01-02', freq='1min', tz=tus.tz) +ephem_data = tus.get_solarposition(times) +irrad_data = tus.get_clearsky(times) +irrad_data.plot() +plt.ylabel('Irradiance $W/m^2$') +plt.title('Ineichen, climatological turbidity'); + +# Diffuse ground +# -------------- TODO: LINK FUNCS +# The ``grounddiffuse`` function has a few different ways to obtain the +# diffuse light reflected from the ground given an surface tilt and the GHI. +# +# First, you can specify the albedo of ground. + +ground_irrad = pvlib.irradiance.get_ground_diffuse(40, irrad_data['ghi'], albedo=.25) +ground_irrad.plot() +plt.ylabel('Diffuse ground irradiance (W/m^2)') + +# %% +# Alternatively, you can specify the surface type with a string such as +# ``'concrete'`` or ``'snow'``. +# All of the available ``surface_type`` options are show in the plot below. + +for surface, albedo in sorted(pvlib.irradiance.SURFACE_ALBEDOS.items(), key=lambda x: x[1], reverse=True): + ground_irrad = pvlib.irradiance.get_ground_diffuse(40, irrad_data['ghi'], surface_type=surface) + ground_irrad.plot(label='{}: {}'.format(surface, albedo)) + +plt.legend() +plt.ylabel('Diffuse ground irradiance (W/m^2)') +plt.title('Surface types') + +# %% +# Next, vary the tilt angle. We expect to see maximum ground diffuse +# irradiance at a 90 deg tilt, and no ground diffuse irradiance at 0 tilt. + +for surf_tilt in np.linspace(0, 90, 5): + ground_irrad = pvlib.irradiance.get_ground_diffuse(surf_tilt, irrad_data['ghi']) + ground_irrad.plot(label=surf_tilt) + +plt.legend() +plt.ylabel('Diffuse ground irradiance (W/m^2)') +plt.title('Ground diffuse as a function of tilt') + +# %% +# Diffuse sky +# ----------- +# ``pvlib`` has many different ways to calculate the diffuse sky component +# of GHI. +# +# The API for some of these functions needs some work. TODO HYPERLINKS +# 1. [Isotropic](#Isotropic-model) +# 2. [Klucher](#Klucher-model) +# 3. [Reindl](#Reindl-model) +# 4. [Hay-Davies](#Hay-Davies-model) +# 5. [Perez](#Perez-model) +# +# Isotropic model +# ^^^^^^^^^^^^^^^ +# The ``isotropic`` model is the simplest model. + +sky_diffuse = pvlib.irradiance.isotropic(40, irrad_data['dhi']) +sky_diffuse.plot(label='isotropic diffuse') +irrad_data['dhi'].plot() +irrad_data['ghi'].plot() +plt.legend() +plt.ylabel('Irradiance (W/m^2)') + +# %% +# Compare just the POA diffuse to the input DHI. + +sky_diffuse = pvlib.irradiance.isotropic(40, irrad_data['dhi']) +sky_diffuse.plot(label='isotropic diffuse') +irrad_data['dhi'].plot() +plt.legend() +plt.ylabel('Irradiance (W/m^2)') + +# %% +# Klucher model +# ^^^^^^^^^^^^^ + +surf_tilt = 40 +surf_az = 180 + +sky_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +sky_diffuse.plot(label='klucher diffuse') +irrad_data['dhi'].plot() +#irrad_data['ghi'].plot() +plt.legend() +plt.ylabel('Irradiance (W/m^2)') + +# %% +# Compare Klucher against isotropic + +surf_tilt = 40 +surf_az = 180 # south facing + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +irrad_data['dhi'].plot() + +plt.legend() +plt.ylabel('Irradiance (W/m^2)') + +# %% +# Klucher as a function of surface azimuth. +surf_tilt = 40 + +irrad_data['dhi'].plot() + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic') + +for surf_az in np.linspace(0, 270, 4): + klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) + klucher_diffuse.plot(label='klucher: {}'.format(surf_az)) + +plt.legend() + +# %% +# Surface azimuth should not matter if tilt is 0. + +surf_tilt = 0 + +irrad_data['dhi'].plot() + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic') + +for surf_az in np.linspace(0, 270, 4): + klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) + klucher_diffuse.plot(label='klucher: {}'.format(surf_az)) + +plt.legend() + +# %% +# Reindl model +# ^^^^^^^^^^^^ +# South facing at latitude. + +surf_tilt = 32 +surf_az = 180 # south facing + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear) +reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +reindl_diffuse.plot(label='reindl diffuse') + +irrad_data['dhi'].plot() + +plt.legend() + +# %% +# East facing + +surf_tilt = 32 +surf_az = 90 + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear) +reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +reindl_diffuse.plot(label='reindl diffuse') + +irrad_data['dhi'].plot() + +plt.legend() + +# %% +# Hay-Davies model +# ^^^^^^^^^^^^^^^^ +# Hay-Davies facing south. + +surf_tilt = 32 +surf_az = 180 + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear) + +haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +haydavies_diffuse.plot(label='haydavies diffuse') + +reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +reindl_diffuse.plot(label='reindl diffuse') + +irrad_data['dhi'].plot() + +plt.legend() + +# %% +# Facing east. + +surf_tilt = 32 +surf_az = 90 + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear) + +haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +haydavies_diffuse.plot(label='haydavies diffuse') + +reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +reindl_diffuse.plot(label='reindl diffuse') + +irrad_data['dhi'].plot() + +plt.legend() + +# %% +# Hay-Davies appears to be very similar to Reindl. Too similar? + +# %% +# King model +# ^^^^^^^^^^ + +surf_tilt = 32 +surf_az = 90 + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear) + +haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +haydavies_diffuse.plot(label='haydavies diffuse') + +king_diffuse = pvlib.irradiance.king(surf_tilt,irrad_data['dhi'], irrad_data['ghi'], ephem_data['azimuth']) +king_diffuse.plot(label='king diffuse') + +irrad_data['dhi'].plot() + +plt.legend() + +# %% +# Perez model +# ^^^^^^^^^^^ +# This section walks through the Perez algorithm. + +sun_zen = ephem_data['apparent_zenith'] +sun_az = ephem_data['azimuth'] +DNI = irrad_data['dni'] +DHI = irrad_data['dhi'] +DNI_ET = pvlib.irradiance.get_extra_radiation(times.dayofyear) +AM = pvlib.atmosphere.get_relative_airmass(sun_zen) + +surf_tilt = 32 +surf_az = 180 + +kappa = 1.041 #for sun_zen in radians +z = np.radians(sun_zen) # convert to radians + +#Dhfilter = DHI > 0 + +# epsilon is the sky's clearness +eps = ( (DHI + DNI)/DHI + kappa*(z**3) ) / ( 1 + kappa*(z**3) ) +eps.plot() + +# %% +ebin = eps.copy() +ebin[(eps<1.065)] = 1 +ebin[(eps>=1.065) & (eps<1.23)] = 2 +ebin[(eps>=1.23) & (eps<1.5)] = 3 +ebin[(eps>=1.5) & (eps<1.95)] = 4 +ebin[(eps>=1.95) & (eps<2.8)] = 5 +ebin[(eps>=2.8) & (eps<4.5)] = 6 +ebin[(eps>=4.5) & (eps<6.2)] = 7 +ebin[eps>=6.2] = 8 + +ebin.plot() +plt.ylim(0,9) + +# %%ebin = ebin - 1 +ebin = ebin.dropna().astype(int) +ebin.plot() + +# %% +delta = DHI * AM / DNI_ET +delta.plot() + +# %% +modelt = 'allsitescomposite1990' + +F1c, F2c = pvlib.irradiance._get_perez_coefficients(modelt) + +F1 = F1c[ebin,0] + F1c[ebin,1]*delta[ebin.index] + F1c[ebin,2]*z[ebin.index] +F1[F1<0]=0; +F1=F1.astype(float) + +#F2= F2c[ebin,0] + F2c[ebin,1]*delta[ebinfilter] + F2c[ebin,2]*z[ebinfilter] +F2= F2c[ebin,0] + F2c[ebin,1]*delta[ebin.index] + F2c[ebin,2]*z[ebin.index] +F2[F2<0]=0 +F2=F2.astype(float) + +F1.plot(label='F1') +F2.plot(label='F2') +plt.legend() + +# %% +from pvlib import tools + +A = tools.cosd(surf_tilt)*tools.cosd(sun_zen) + tools.sind(surf_tilt)*tools.sind(sun_zen)*tools.cosd(sun_az-surf_az) #removed +180 from azimuth modifier: Rob Andrews October 19th 2012 +#A[A < 0] = 0 + +B = tools.cosd(sun_zen) +#B[B < pvl_tools.cosd(85)] = pvl_tools.cosd(85) + +A.plot(label='A') +B.plot(label='B') +plt.legend() + +# %% +sky_diffuse = DHI*( 0.5* (1-F1)*(1+tools.cosd(surf_tilt))+F1 * A[ebin.index]/ B[ebin.index] + F2*tools.sind(surf_tilt)) +sky_diffuse[sky_diffuse < 0] = 0 +sky_diffuse[AM.isnull()] = 0 + +sky_diffuse.plot() + +# %% +# Compare the Perez model to others. + +sun_zen = ephem_data['apparent_zenith'] +sun_az = ephem_data['azimuth'] +DNI = irrad_data['dni'] +DHI = irrad_data['dhi'] +DNI_ET = pvlib.irradiance.get_extra_radiation(times.dayofyear) +AM = pvlib.atmosphere.get_relative_airmass(sun_zen) + +surf_tilt = 32 +surf_az = 180 + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear) + +haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +haydavies_diffuse.plot(label='haydavies diffuse') + +perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth'], + AM) +perez_diffuse.plot(label='perez diffuse') + +irrad_data['dhi'].plot() + +plt.legend() + +# %% +sun_zen = ephem_data['apparent_zenith'] +sun_az = ephem_data['azimuth'] +DNI = irrad_data['dni'] +DHI = irrad_data['dhi'] +DNI_ET = pvlib.irradiance.get_extra_radiation(times.dayofyear) +AM = pvlib.atmosphere.get_relative_airmass(sun_zen) + +surf_tilt = 32 +surf_az = 90 + +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) +iso_diffuse.plot(label='isotropic diffuse') + +klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['ghi'], + ephem_data['apparent_zenith'], ephem_data['azimuth']) +klucher_diffuse.plot(label='klucher diffuse') + +dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear) + +haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth']) +haydavies_diffuse.plot(label='haydavies diffuse') + +perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth'], + AM) +perez_diffuse.plot(label='perez diffuse') + +irrad_data['dhi'].plot() + +plt.legend() + +# %% +# Examine the impact of the coeffecient selection. + +perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth'], + AM, model='allsitescomposite1990') +perez_diffuse.plot(label='allsitescomposite1990') + +perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, + irrad_data['dhi'], irrad_data['dni'], dni_et, + ephem_data['apparent_zenith'], ephem_data['azimuth'], + AM, model='phoenix1988') +perez_diffuse.plot(label='phoenix1988') + +plt.legend() + +# %% +# Angle of incidence functions +# ---------------------------- +# The ``irradiance`` module has some convenience functions to help calculate +# the angle of incidence. TODO: LINK +# +# First, the angle of incidence. + +proj = pvlib.irradiance.aoi(32, 180, ephem_data['apparent_zenith'], ephem_data['azimuth']) +proj.plot() + +#plt.ylim(-1.1,1.1) +plt.legend() + +# %% +# AOI projection: the dot production of the surface normal and the vector to +# the sun. + +proj = pvlib.irradiance.aoi_projection(32, 180, ephem_data['apparent_zenith'], + ephem_data['azimuth']) +proj.plot() + +plt.ylim(-1.1,1.1) +plt.legend() + +# %% +# The ratio between POA projection and the horizontal projection. +ratio = pvlib.irradiance.poa_horizontal_ratio(32, 180, + ephem_data['apparent_zenith'], + ephem_data['azimuth']) +ratio.plot() +plt.ylim(-4,4) + +# %% +# This plot shows that an explicit dot product calculation gives the same +# result as ``aoi_projection``. TODO: HYPERLINK + +surf_tilt = 90 +surf_az = 90 + +sen_alt_rad = np.radians(90 - surf_tilt) +sen_azi_rad = np.radians(surf_az) + +alts = np.radians(90 - ephem_data['apparent_zenith']) +azis = np.radians(ephem_data['azimuth']) + +dotprod = np.cos(sen_alt_rad)*np.cos(alts)*np.cos(sen_azi_rad-azis) + np.sin(sen_alt_rad)*np.sin(alts) +dotprod.plot(label='dotprod') + +proj = pvlib.irradiance.aoi_projection(surf_tilt, surf_az, ephem_data['apparent_zenith'], ephem_data['azimuth']) +proj.plot() + +plt.ylim(-1.1,1.1) +plt.legend() + +# %% +# get_total_irradiance +# ^^^^^^^^^^^^^^^^^^^^ TODO: LINK +# There is a convenience function ``get_total_irradiance`` that aims to make +# it easier to play with different models. For now, we use it to make summary +# plots of the models explored above. +# +# South facing with latitude tilt. + +def get_total_irradiance_per_model(surface_tilt, surface_azimuth): + models = ['isotropic', 'klucher', 'haydavies', 'reindl', 'king', 'perez'] + totals = {} + + for model in models: + total = pvlib.irradiance.get_total_irradiance( + surface_tilt, surface_azimuth, + ephem_data['apparent_zenith'], ephem_data['azimuth'], + dni=irrad_data['dni'], ghi=irrad_data['ghi'], dhi=irrad_data['dhi'], + dni_extra=dni_et, airmass=AM, + model=model, + surface_type='urban') + totals[model] = total + total.plot() + plt.title(model) + plt.ylim(-50, 1100) + plt.ylabel('Irradiance (W/m^2)') + + plt.figure() + for model, total in totals.items(): + total['poa_global'].plot(lw=.5, label=model) + + plt.legend() + plt.ylabel('Irradiance (W/m^2)') + +get_total_irradiance_per_model(32, 180) + +# %% +# tilt = 0 + +get_total_irradiance_per_model(0, 180) + +# %% +# East facing with latitude tilt. + +get_total_irradiance_per_model(32, 90) From 34033ef9f7a6be58573aa3fdcecd981fef307101 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 17:40:40 +0200 Subject: [PATCH 04/37] rename folder --- docs/examples/{tutorials => tutos_temp}/atmosphere.py | 0 docs/examples/{tutorials => tutos_temp}/irradiance.py | 0 2 files changed, 0 insertions(+), 0 deletions(-) rename docs/examples/{tutorials => tutos_temp}/atmosphere.py (100%) rename docs/examples/{tutorials => tutos_temp}/irradiance.py (100%) diff --git a/docs/examples/tutorials/atmosphere.py b/docs/examples/tutos_temp/atmosphere.py similarity index 100% rename from docs/examples/tutorials/atmosphere.py rename to docs/examples/tutos_temp/atmosphere.py diff --git a/docs/examples/tutorials/irradiance.py b/docs/examples/tutos_temp/irradiance.py similarity index 100% rename from docs/examples/tutorials/irradiance.py rename to docs/examples/tutos_temp/irradiance.py From 14b32e412cc22432b10e540d4418c46754e94c21 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 17:41:31 +0200 Subject: [PATCH 05/37] move folder to docs --- docs/{examples => }/tutos_temp/atmosphere.py | 0 docs/{examples => }/tutos_temp/irradiance.py | 0 2 files changed, 0 insertions(+), 0 deletions(-) rename docs/{examples => }/tutos_temp/atmosphere.py (100%) rename docs/{examples => }/tutos_temp/irradiance.py (100%) diff --git a/docs/examples/tutos_temp/atmosphere.py b/docs/tutos_temp/atmosphere.py similarity index 100% rename from docs/examples/tutos_temp/atmosphere.py rename to docs/tutos_temp/atmosphere.py diff --git a/docs/examples/tutos_temp/irradiance.py b/docs/tutos_temp/irradiance.py similarity index 100% rename from docs/examples/tutos_temp/irradiance.py rename to docs/tutos_temp/irradiance.py From 4885742c669d3ff6a680fd36e34ed3bba869f3f5 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 17:43:15 +0200 Subject: [PATCH 06/37] bring atmosphere.ipynb back to life --- docs/tutorials/atmosphere.ipynb | 208 ++++++++++++++++++++++++++++++++ 1 file changed, 208 insertions(+) create mode 100644 docs/tutorials/atmosphere.ipynb diff --git a/docs/tutorials/atmosphere.ipynb b/docs/tutorials/atmosphere.ipynb new file mode 100644 index 0000000000..df574d747d --- /dev/null +++ b/docs/tutorials/atmosphere.ipynb @@ -0,0 +1,208 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ``atmosphere.py`` tutorial\n", + "\n", + "This tutorial needs your help to make it better!\n", + "\n", + "This tutorial requires pvlib > 0.6.0.\n", + "\n", + "Authors:\n", + "* Will Holmgren (@wholmgren), University of Arizona. 2015, March 2016, August 2018." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# built in python modules\n", + "import datetime\n", + "import logging\n", + "import os\n", + "import inspect\n", + "\n", + "# python add-ons\n", + "import numpy as np\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import pvlib\n", + "from pvlib.location import Location" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Location: \n", + " name: Tucson\n", + " latitude: 32.2\n", + " longitude: -111\n", + " altitude: 700\n", + " tz: US/Arizona\n" + ] + } + ], + "source": [ + "print(tus)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " apparent_zenith zenith apparent_elevation \\\n", + "2014-06-24 00:00:00-07:00 124.039086 124.039086 -34.039086 \n", + "2014-06-24 00:01:00-07:00 124.065488 124.065488 -34.065488 \n", + "2014-06-24 00:02:00-07:00 124.090882 124.090882 -34.090882 \n", + "2014-06-24 00:03:00-07:00 124.115267 124.115267 -34.115267 \n", + "2014-06-24 00:04:00-07:00 124.138641 124.138641 -34.138641 \n", + "\n", + " elevation azimuth equation_of_time \n", + "2014-06-24 00:00:00-07:00 -34.039086 352.695507 -2.366772 \n", + "2014-06-24 00:01:00-07:00 -34.065488 352.970528 -2.366922 \n", + "2014-06-24 00:02:00-07:00 -34.090882 353.245771 -2.367072 \n", + "2014-06-24 00:03:00-07:00 -34.115267 353.521228 -2.367222 \n", + "2014-06-24 00:04:00-07:00 -34.138641 353.796891 -2.367372 \n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "times = pd.date_range(start=datetime.datetime(2014,6,24), end=datetime.datetime(2014,6,25), freq='1Min', tz=tus.tz)\n", + "\n", + "solpos = pvlib.solarposition.get_solarposition(times, tus.latitude, tus.longitude)\n", + "print(solpos.head())\n", + "solpos.plot();" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pvlib.atmosphere.get_relative_airmass(solpos['zenith']).plot(label='kastenyoung1989, zenith')\n", + "pvlib.atmosphere.get_relative_airmass(solpos['apparent_zenith']).plot(label='kastenyoung1989, app. zenith')\n", + "pvlib.atmosphere.get_relative_airmass(solpos['zenith'], model='young1994').plot(label='young1994, zenith')\n", + "pvlib.atmosphere.get_relative_airmass(solpos['zenith'], model='simple').plot(label='simple, zenith')\n", + "plt.legend()\n", + "plt.ylabel('Airmass')\n", + "plt.ylim(0,100);" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(solpos['zenith'], pvlib.atmosphere.get_relative_airmass(solpos['zenith'], model='simple'), label='simple')\n", + "plt.plot(solpos['zenith'], pvlib.atmosphere.get_relative_airmass(solpos['apparent_zenith']), label='default')\n", + "plt.xlim(0,100)\n", + "plt.ylim(0,100)\n", + "plt.xlabel('Zenith angle (deg)')\n", + "plt.ylabel('Airmass')\n", + "plt.legend();" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.7" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From 90bda69a4b13ef4c47f6e1f33304c691975b8266 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 17:53:58 +0200 Subject: [PATCH 07/37] Make tutorials a gallery (see description TODO) def make_github_url(file_name) at conf.py will need modifications --- docs/examples/README.rst | 2 +- docs/sphinx/source/conf.py | 4 +++- docs/tutos_temp/README.rst | 8 ++++++++ 3 files changed, 12 insertions(+), 2 deletions(-) create mode 100644 docs/tutos_temp/README.rst diff --git a/docs/examples/README.rst b/docs/examples/README.rst index 332e49d65e..95665a4564 100644 --- a/docs/examples/README.rst +++ b/docs/examples/README.rst @@ -3,4 +3,4 @@ Example Gallery =============== -This gallery shows examples of pvlib functionality. Community contributions are welcome! \ No newline at end of file +This gallery shows examples of pvlib functionality. Community contributions are welcome! diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py index cadadcd963..b0a2898ecd 100644 --- a/docs/sphinx/source/conf.py +++ b/docs/sphinx/source/conf.py @@ -355,7 +355,9 @@ def setup(app): # settings for sphinx-gallery sphinx_gallery_conf = { - 'examples_dirs': ['../../examples'], # location of gallery scripts + 'examples_dirs': [ # location of gallery scripts + '../../examples', + '../../tutos_temp'], 'gallery_dirs': ['gallery'], # location of generated output # sphinx-gallery only shows plots from plot_*.py files by default: # 'filename_pattern': '*.py', diff --git a/docs/tutos_temp/README.rst b/docs/tutos_temp/README.rst new file mode 100644 index 0000000000..b34b6c6189 --- /dev/null +++ b/docs/tutos_temp/README.rst @@ -0,0 +1,8 @@ +.. _tutorials_gallery: + +Tutorials Gallery +================= + +This gallery shows tutorials about pvlib. + +Community contributions are welcome! From 4f04b1a190ca36b3d51fdc906f528d7e5a8f78dc Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 17:59:13 +0200 Subject: [PATCH 08/37] I hope this was left commented because of unnecessary and not because it will break something --- docs/sphinx/source/conf.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py index b0a2898ecd..5209fd81c8 100644 --- a/docs/sphinx/source/conf.py +++ b/docs/sphinx/source/conf.py @@ -360,7 +360,7 @@ def setup(app): '../../tutos_temp'], 'gallery_dirs': ['gallery'], # location of generated output # sphinx-gallery only shows plots from plot_*.py files by default: - # 'filename_pattern': '*.py', + 'filename_pattern': '*.py', # directory where function/class granular galleries are stored 'backreferences_dir': 'reference/generated/gallery_backreferences', From 244dafd44f2da7839162ff6265da2523f7cac8e0 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 18:05:11 +0200 Subject: [PATCH 09/37] Btw, this would make it match files ending in .py, and not something like entropy --- docs/sphinx/source/conf.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py index 5209fd81c8..08beb1af3f 100644 --- a/docs/sphinx/source/conf.py +++ b/docs/sphinx/source/conf.py @@ -360,7 +360,7 @@ def setup(app): '../../tutos_temp'], 'gallery_dirs': ['gallery'], # location of generated output # sphinx-gallery only shows plots from plot_*.py files by default: - 'filename_pattern': '*.py', + 'filename_pattern': r'*.\.py', # directory where function/class granular galleries are stored 'backreferences_dir': 'reference/generated/gallery_backreferences', From 52adb8993e39417d4c937f26499e468c5042b890 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 18:19:19 +0200 Subject: [PATCH 10/37] Rename dirs tutorials to tutorials_old tutos_temp to tutorials --- docs/sphinx/source/conf.py | 2 +- docs/{tutos_temp => tutorials}/README.rst | 0 docs/tutorials/atmosphere.ipynb | 208 - docs/{tutos_temp => tutorials}/atmosphere.py | 0 docs/tutorials/irradiance.ipynb | 1981 ---------- docs/{tutos_temp => tutorials}/irradiance.py | 0 docs/tutorials/pvsystem.ipynb | 1111 ------ docs/tutorials/solarposition.ipynb | 1065 ------ docs/tutorials/tmy.ipynb | 483 --- .../tmy_and_diffuse_irrad_models.ipynb | 748 ---- docs/tutorials/tmy_to_power.ipynb | 1670 -------- docs/tutorials/tracking.ipynb | 3353 ----------------- 12 files changed, 1 insertion(+), 10620 deletions(-) rename docs/{tutos_temp => tutorials}/README.rst (100%) delete mode 100644 docs/tutorials/atmosphere.ipynb rename docs/{tutos_temp => tutorials}/atmosphere.py (100%) delete mode 100644 docs/tutorials/irradiance.ipynb rename docs/{tutos_temp => tutorials}/irradiance.py (100%) delete mode 100644 docs/tutorials/pvsystem.ipynb delete mode 100644 docs/tutorials/solarposition.ipynb delete mode 100644 docs/tutorials/tmy.ipynb delete mode 100644 docs/tutorials/tmy_and_diffuse_irrad_models.ipynb delete mode 100644 docs/tutorials/tmy_to_power.ipynb delete mode 100644 docs/tutorials/tracking.ipynb diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py index 08beb1af3f..e19139d2ad 100644 --- a/docs/sphinx/source/conf.py +++ b/docs/sphinx/source/conf.py @@ -357,7 +357,7 @@ def setup(app): sphinx_gallery_conf = { 'examples_dirs': [ # location of gallery scripts '../../examples', - '../../tutos_temp'], + '../../tutorials'], 'gallery_dirs': ['gallery'], # location of generated output # sphinx-gallery only shows plots from plot_*.py files by default: 'filename_pattern': r'*.\.py', diff --git a/docs/tutos_temp/README.rst b/docs/tutorials/README.rst similarity index 100% rename from docs/tutos_temp/README.rst rename to docs/tutorials/README.rst diff --git a/docs/tutorials/atmosphere.ipynb b/docs/tutorials/atmosphere.ipynb deleted file mode 100644 index df574d747d..0000000000 --- a/docs/tutorials/atmosphere.ipynb +++ /dev/null @@ -1,208 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# ``atmosphere.py`` tutorial\n", - "\n", - "This tutorial needs your help to make it better!\n", - "\n", - "This tutorial requires pvlib > 0.6.0.\n", - "\n", - "Authors:\n", - "* Will Holmgren (@wholmgren), University of Arizona. 2015, March 2016, August 2018." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# built in python modules\n", - "import datetime\n", - "import logging\n", - "import os\n", - "import inspect\n", - "\n", - "# python add-ons\n", - "import numpy as np\n", - "import pandas as pd" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import pvlib\n", - "from pvlib.location import Location" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location: \n", - " name: Tucson\n", - " latitude: 32.2\n", - " longitude: -111\n", - " altitude: 700\n", - " tz: US/Arizona\n" - ] - } - ], - "source": [ - "print(tus)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " apparent_zenith zenith apparent_elevation \\\n", - "2014-06-24 00:00:00-07:00 124.039086 124.039086 -34.039086 \n", - "2014-06-24 00:01:00-07:00 124.065488 124.065488 -34.065488 \n", - "2014-06-24 00:02:00-07:00 124.090882 124.090882 -34.090882 \n", - "2014-06-24 00:03:00-07:00 124.115267 124.115267 -34.115267 \n", - "2014-06-24 00:04:00-07:00 124.138641 124.138641 -34.138641 \n", - "\n", - " elevation azimuth equation_of_time \n", - "2014-06-24 00:00:00-07:00 -34.039086 352.695507 -2.366772 \n", - "2014-06-24 00:01:00-07:00 -34.065488 352.970528 -2.366922 \n", - "2014-06-24 00:02:00-07:00 -34.090882 353.245771 -2.367072 \n", - "2014-06-24 00:03:00-07:00 -34.115267 353.521228 -2.367222 \n", - "2014-06-24 00:04:00-07:00 -34.138641 353.796891 -2.367372 \n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "times = pd.date_range(start=datetime.datetime(2014,6,24), end=datetime.datetime(2014,6,25), freq='1Min', tz=tus.tz)\n", - "\n", - "solpos = pvlib.solarposition.get_solarposition(times, tus.latitude, tus.longitude)\n", - "print(solpos.head())\n", - "solpos.plot();" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "pvlib.atmosphere.get_relative_airmass(solpos['zenith']).plot(label='kastenyoung1989, zenith')\n", - "pvlib.atmosphere.get_relative_airmass(solpos['apparent_zenith']).plot(label='kastenyoung1989, app. zenith')\n", - "pvlib.atmosphere.get_relative_airmass(solpos['zenith'], model='young1994').plot(label='young1994, zenith')\n", - "pvlib.atmosphere.get_relative_airmass(solpos['zenith'], model='simple').plot(label='simple, zenith')\n", - "plt.legend()\n", - "plt.ylabel('Airmass')\n", - "plt.ylim(0,100);" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(solpos['zenith'], pvlib.atmosphere.get_relative_airmass(solpos['zenith'], model='simple'), label='simple')\n", - "plt.plot(solpos['zenith'], pvlib.atmosphere.get_relative_airmass(solpos['apparent_zenith']), label='default')\n", - "plt.xlim(0,100)\n", - "plt.ylim(0,100)\n", - "plt.xlabel('Zenith angle (deg)')\n", - "plt.ylabel('Airmass')\n", - "plt.legend();" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/tutos_temp/atmosphere.py b/docs/tutorials/atmosphere.py similarity index 100% rename from docs/tutos_temp/atmosphere.py rename to docs/tutorials/atmosphere.py diff --git a/docs/tutorials/irradiance.ipynb b/docs/tutorials/irradiance.ipynb deleted file mode 100644 index 39409c187f..0000000000 --- a/docs/tutorials/irradiance.ipynb +++ /dev/null @@ -1,1981 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# irradiance.py tutorial" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This tutorial explores some of the functions available in the ``pvlib`` module ``irradiance.py``.\n", - "\n", - "This tutorial requires pvlib >= 0.6.0.\n", - "\n", - "Authors:\n", - "* Will Holmgren (@wholmgren), University of Arizona. July 2014, April 2015, July 2015, March 2016, July 2016, February 2017, August 2018." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - " \n", - "# built in python modules\n", - "import datetime\n", - "\n", - "# python add-ons\n", - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "import pvlib" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Table of contents\n", - "\n", - "1. [Extraterrestrial radiation](#Extraterrestrial-radiation)\n", - "2. [Clear sky models](#Clear-sky-models)\n", - "2. [Diffuse ground](#Diffuse-ground)\n", - "2. [Diffuse sky](#Diffuse-sky)\n", - " 1. [Isotropic](#Isotropic-model)\n", - " 2. [Klucher](#Klucher-model)\n", - " 2. [Reindl](#Reindl-model)\n", - " 2. [Hay-Davies](#Hay-Davies-model)\n", - " 2. [Perez](#Perez-model)\n", - "2. [Angle of incidence](#Angle-of-incidence-functions)\n", - "2. [total_irrad](#total_irrad)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Extraterrestrial radiation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Many solar power algorithms start with the irradiance incident on the top of the Earth's atmosphere, often known as the extraterrestrial radiation. ``pvlib`` has four different algorithms to calculate the yearly cycle of the extraterrestrial radiation given the solar constant. As of pvlib 0.4, each method can accept many different input types (day of year, arrays of day of year, datetimes, DatetimeIndex, etc.) and will consistently return the appropriate output type." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "# DatetimeIndex in yields a TimeSeries out\n", - "times = pd.date_range('2014-01-01', '2015-01-01', freq='1h')\n", - "\n", - "spencer = pvlib.irradiance.get_extra_radiation(times, method='spencer')\n", - "asce = pvlib.irradiance.get_extra_radiation(times, method='asce')\n", - "ephem = pvlib.irradiance.get_extra_radiation(times, method='pyephem') \n", - "nrel = pvlib.irradiance.get_extra_radiation(times, method='nrel')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "spencer.plot(label='spencer')\n", - "asce.plot(label='asce')\n", - "ephem.plot(label='pyephem')\n", - "nrel.plot(label='nrel')\n", - "plt.legend()\n", - "plt.ylabel('Extraterrestrial radiation (W/m^2)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The ``pyephem`` and ``nrel`` methods are the most accurate. However, as shown in the plot below, the difference between them and the spencer method is only +/-2 W/m^2 over the entire year." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "et_diff = spencer - ephem\n", - "et_diff.plot()\n", - "plt.ylabel('spencer-ephem (W/m**2)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The intraday squiggles are due to the fact that the asce and spencer methods will cast a DatetimeIndex into integer days of year, while the pyephem and nrel methods also use the time of day." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The difference between the nrel and pyephem methods is negligible." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "et_diff = nrel - ephem\n", - "et_diff.plot()\n", - "plt.ylabel('nrel-ephem (W/m**2)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can also control the solar constant. Recent literature suggests that the solar constant is 1361 $W/m^2$ rather than the commonly accepted 1367 $W/m^2$." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "spencer_1361 = pvlib.irradiance.get_extra_radiation(times, method='spencer', solar_constant=1361)\n", - "\n", - "spencer.plot(label='default 1366.7')\n", - "spencer_1361.plot(label='1361')\n", - "plt.legend()\n", - "plt.title('Impact of solar constant')\n", - "plt.ylabel('ET Irradiance (W/m^2)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Compare the time it takes to do the calculations." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "times = pd.date_range(start='2015', end='2016', freq='1min')" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "102 ms ± 1.49 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n", - "59.9 ms ± 1.09 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n", - "5.24 s ± 21.7 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", - "1.89 s ± 39.2 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\solarposition.py:265: UserWarning: Reloading spa to use numba\n", - " warnings.warn('Reloading spa to use numba')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "152 ms ± 10.1 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" - ] - } - ], - "source": [ - "# NBVAL_SKIP\n", - "%timeit spencer = pvlib.irradiance.get_extra_radiation(times, method='spencer')\n", - "%timeit asce = pvlib.irradiance.get_extra_radiation(times, method='asce')\n", - "%timeit ephem = pvlib.irradiance.get_extra_radiation(times, method='pyephem')\n", - "%timeit nrel = pvlib.irradiance.get_extra_radiation(times, method='nrel')\n", - "%timeit nrel = pvlib.irradiance.get_extra_radiation(times, method='nrel', how='numba')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In addition to DatetimeIndex input, the methods also work for various scalar datetime-like formats as well as scalar and array day of year input." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2016-10-26 00:00:00 spencer 1383.6362028955045\n", - "2016-10-26 00:00:00 asce 1385.7848051831807\n", - "2016-10-26 00:00:00 pyephem 1382.3920240844304\n", - "2016-10-26 00:00:00 nrel 1382.3912017480877\n", - "2016-10-26 spencer 1383.6362028955045\n", - "2016-10-26 asce 1385.7848051831807\n", - "2016-10-26 pyephem 1382.3920240844304\n", - "2016-10-26 nrel 1382.3912017480877\n", - "300 spencer 1383.6362028955045\n", - "300 asce 1385.7848051831807\n", - "300 pyephem 1382.618664623793\n", - "300 nrel 1382.6174658748046\n" - ] - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "methods = ['spencer', 'asce', 'pyephem', 'nrel']\n", - "\n", - "# pandas timestamp input\n", - "times = pd.Timestamp('20161026')\n", - "for method in methods:\n", - " dni_extra = pvlib.irradiance.get_extra_radiation(times, method=method)\n", - " assert isinstance(dni_extra, float)\n", - " print(times, method, dni_extra)\n", - " \n", - " \n", - "# date input\n", - "times = datetime.date(2016, 10, 26)\n", - "for method in methods:\n", - " dni_extra = pvlib.irradiance.get_extra_radiation(times, method=method)\n", - " assert isinstance(dni_extra, float)\n", - " print(times, method, dni_extra)\n", - " \n", - " \n", - "# integer doy input\n", - "times = 300\n", - "for method in methods:\n", - " dni_extra = pvlib.irradiance.get_extra_radiation(times, method=method)\n", - " assert isinstance(dni_extra, float)\n", - " print(times, method, dni_extra)\n", - " \n", - " \n", - "# array doy input\n", - "times = np.arange(1, 366)\n", - "for method in methods:\n", - " dni_extra = pvlib.irradiance.get_extra_radiation(times, method=method)\n", - " assert isinstance(dni_extra, np.ndarray)\n", - " plt.plot(times, dni_extra, label=method)\n", - " \n", - "plt.legend()\n", - "plt.ylabel('Extraterrestrial radiation (W/m^2)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Clear sky models" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "See the online documentation for clear sky modeling examples.\n", - "\n", - "http://pvlib-python.readthedocs.io/en/stable/user_guide/clearsky.html\n", - "\n", - "Here we only generate data for the functions below." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "tus = pvlib.location.Location(32.2, -111, 'US/Arizona', 700, 'Tucson')\n", - "times = pd.date_range(start='2016-01-01', end='2016-01-02', freq='1min', tz=tus.tz)\n", - "ephem_data = tus.get_solarposition(times)\n", - "irrad_data = tus.get_clearsky(times)\n", - "irrad_data.plot()\n", - "plt.ylabel('Irradiance $W/m^2$')\n", - "plt.title('Ineichen, climatological turbidity');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Diffuse ground" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The ``grounddiffuse`` function has a few different ways to obtain the diffuse light reflected from the ground given an surface tilt and the GHI." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, you can specify the albedo of ground." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "ground_irrad = pvlib.irradiance.get_ground_diffuse(40, irrad_data['ghi'], albedo=.25)\n", - "ground_irrad.plot()\n", - "plt.ylabel('Diffuse ground irradiance (W/m^2)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Alternatively, you can specify the surface type with a string such as ``'concrete'`` or ``'snow'``. All of the available ``surface_type`` options are show in the plot below." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "for surface, albedo in sorted(pvlib.irradiance.SURFACE_ALBEDOS.items(), key=lambda x: x[1], reverse=True):\n", - " ground_irrad = pvlib.irradiance.get_ground_diffuse(40, irrad_data['ghi'], surface_type=surface)\n", - " ground_irrad.plot(label='{}: {}'.format(surface, albedo))\n", - "\n", - "plt.legend()\n", - "plt.ylabel('Diffuse ground irradiance (W/m^2)')\n", - "plt.title('Surface types');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next, vary the tilt angle. We expect to see maximum ground diffuse irradiance at a 90 deg tilt, and no ground diffuse irradiance at 0 tilt." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "for surf_tilt in np.linspace(0, 90, 5):\n", - " ground_irrad = pvlib.irradiance.get_ground_diffuse(surf_tilt, irrad_data['ghi'])\n", - " ground_irrad.plot(label=surf_tilt)\n", - "\n", - "plt.legend()\n", - "plt.ylabel('Diffuse ground irradiance (W/m^2)')\n", - "plt.title('Ground diffuse as a function of tilt');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Diffuse sky" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "``pvlib`` has many different ways to calculate the diffuse sky component of GHI. \n", - "\n", - "The API for some of these functions needs some work.\n", - "\n", - "1. [Isotropic](#Isotropic-model)\n", - "2. [Klucher](#Klucher-model)\n", - "2. [Reindl](#Reindl-model)\n", - "2. [Hay-Davies](#Hay-Davies-model)\n", - "2. [Perez](#Perez-model)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Isotropic model" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The ``isotropic`` model is the simplest model." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sky_diffuse = pvlib.irradiance.isotropic(40, irrad_data['dhi'])\n", - "sky_diffuse.plot(label='isotropic diffuse')\n", - "irrad_data['dhi'].plot()\n", - "irrad_data['ghi'].plot()\n", - "plt.legend()\n", - "plt.ylabel('Irradiance (W/m^2)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Compare just the POA diffuse to the input DHI." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sky_diffuse = pvlib.irradiance.isotropic(40, irrad_data['dhi'])\n", - "sky_diffuse.plot(label='isotropic diffuse')\n", - "irrad_data['dhi'].plot()\n", - "plt.legend()\n", - "plt.ylabel('Irradiance (W/m^2)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Klucher model" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "surf_tilt = 40\n", - "surf_az = 180\n", - "\n", - "sky_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], \n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "sky_diffuse.plot(label='klucher diffuse')\n", - "irrad_data['dhi'].plot()\n", - "#irrad_data['ghi'].plot()\n", - "plt.legend()\n", - "plt.ylabel('Irradiance (W/m^2)');" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "surf_tilt = 40\n", - "surf_az = 180 # south facing\n", - "\n", - "iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi'])\n", - "iso_diffuse.plot(label='isotropic diffuse')\n", - "\n", - "klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], \n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "klucher_diffuse.plot(label='klucher diffuse')\n", - "\n", - "irrad_data['dhi'].plot()\n", - "\n", - "plt.legend()\n", - "plt.ylabel('Irradiance (W/m^2)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Klucher as a function of surface azimuth." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "surf_tilt = 40\n", - "\n", - "irrad_data['dhi'].plot()\n", - "\n", - "iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi'])\n", - "iso_diffuse.plot(label='isotropic')\n", - "\n", - "for surf_az in np.linspace(0, 270, 4):\n", - " klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], \n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - " klucher_diffuse.plot(label='klucher: {}'.format(surf_az))\n", - "\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Surface azimuth should not matter if tilt is 0." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "surf_tilt = 0\n", - "\n", - "irrad_data['dhi'].plot()\n", - "\n", - "iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi'])\n", - "iso_diffuse.plot(label='isotropic')\n", - "\n", - "for surf_az in np.linspace(0, 270, 4):\n", - " klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], \n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - " klucher_diffuse.plot(label='klucher: {}'.format(surf_az))\n", - "\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Reindl model" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "South facing at latitude." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "surf_tilt = 32\n", - "surf_az = 180 # south facing\n", - "\n", - "iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi'])\n", - "iso_diffuse.plot(label='isotropic diffuse')\n", - "\n", - "klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['ghi'], \n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "klucher_diffuse.plot(label='klucher diffuse')\n", - "\n", - "dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear)\n", - "reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "reindl_diffuse.plot(label='reindl diffuse')\n", - "\n", - "irrad_data['dhi'].plot()\n", - "\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "East facing" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "surf_tilt = 32\n", - "surf_az = 90 \n", - "\n", - "iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi'])\n", - "iso_diffuse.plot(label='isotropic diffuse')\n", - "\n", - "klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['ghi'], \n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "klucher_diffuse.plot(label='klucher diffuse')\n", - "\n", - "dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear)\n", - "reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "reindl_diffuse.plot(label='reindl diffuse')\n", - "\n", - "irrad_data['dhi'].plot()\n", - "\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Hay-Davies model" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Hay-Davies facing south." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "surf_tilt = 32\n", - "surf_az = 180 \n", - "\n", - "iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi'])\n", - "iso_diffuse.plot(label='isotropic diffuse')\n", - "\n", - "klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['ghi'], \n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "klucher_diffuse.plot(label='klucher diffuse')\n", - "\n", - "dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear)\n", - "\n", - "haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['dni'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "haydavies_diffuse.plot(label='haydavies diffuse')\n", - "\n", - "reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "reindl_diffuse.plot(label='reindl diffuse')\n", - "\n", - "irrad_data['dhi'].plot()\n", - "\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Facing east." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "surf_tilt = 32\n", - "surf_az = 90 \n", - "\n", - "iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi'])\n", - "iso_diffuse.plot(label='isotropic diffuse')\n", - "\n", - "klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['ghi'], \n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "klucher_diffuse.plot(label='klucher diffuse')\n", - "\n", - "dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear)\n", - "\n", - "haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['dni'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "haydavies_diffuse.plot(label='haydavies diffuse')\n", - "\n", - "reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "reindl_diffuse.plot(label='reindl diffuse')\n", - "\n", - "irrad_data['dhi'].plot()\n", - "\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Hay-Davies appears to be very similar to Reindl. Too similar?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### King model" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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W1tasX7+e/v37Y21tjb29fdlro0aNKlsVqWPHjrRr1w6oWkng8gYMGEBcXBxdunQBStZiXbJkCcbGxnc8xsLCgm+//ZYhQ4bg5ORE9+7dy8bQq6pbt254eHiUrVMbHBwMlPyReeaZZ8p6+R9++CEAS5cu5cUXX+Q///kPRUVFjB49moCAgGqds67J3LiRoosXafL5/DrRi7/JcfRo0hf/xI2162g8/ll9h6MYGHFzmKCuCAkJkVFRURW2xcXF4e3traeIlNqmj5+3lJKzDz2EEEZ4rF2j1wuulUl8bDTa3Bw81q2rU3+AlLpDCBEtpQy5dXvd+k1WFD3JiYik8PQZGo1/ts4leAD7kSMpSDhNfjU/oSlK3fttVhQ9uL5oEcbOTtgP1t+8+L9jN/hBhLk5N8otwagoVaGSvNLgFZw+TU5EBI0efxyhh7tbq8LY1hbb/v25sX4D2oICfYejGBCV5JUG7/qixQhzcxxGj9Z3KH/LYeTDaDMzyd65S9+hKAZEJXmlQStOT+fGunXYDxuGiaOjvsP5W1ahoRg7OZG5SRV0VapOJXmlQctYsQJZUECjp5/Sdyh3JYyNsRswgOzdu1UJYqXKqrtoyA9CiBQhxPFy2+YKIeKFEEeFEL8JIRzKvTZNCHFaCHFSCDFQl4HXpjuVGtZnu1FRUbz22ms6jad8kbKvv/6axYtLFq2Ij48nMDCQoKAgzpw5w2effYa3tzdjx47V6flrm9RoSF+5EqsunTFv00bf4VSJ3eAHkfn5ZKkhG6WKqtuT/xEYdMu2bYCflNIfOAVMAxBC+ACjAd/SY74UQtz5jh6lWkJCQvjss89qrP2JEyfy1FMlvds1a9YwfPhw/vzzT1q3bs2XX37Jxo0bWbp0aY2dvzZk79lD8eVkHB+r22Px5VkGB2PSpIkaslGqrLorQ4UD12/ZtlVKWVz6dD8lC3YDDAeWSykLpJTngNNAp/uMV280Gg3PP/88vr6+DBgwgLy8PAAWLFhAx44dCQgIYNSoUeTm5pKVlYWHhwdFRUUAZGZm4u7uTlFREdHR0QQEBNClSxe++OKLsvYTExPp0aMHwcHBBAcHs3fvXgAee+wxNm7cWLbfuHHjWL16dYWFQXJycnj22Wfp2LEjQUFBrF27FiipgNmpUycCAwPx9/cvK3RW3sKFC2nXrh1hYWFERkaWbb9ZOnnjxo3MmzeP7777jt69ezNx4kTOnj3LsGHD+OSTT+5YYjknJ4chQ4YQEBCAn58fK1asACA6OpqwsDA6dOjAwIED9VrYLGPFSoydnLDt20dvMVSXMDLCbtBAcsLD1RqwSpXouqzBs8CK0q9dKUn6NyWVbrsvcw7OIf66bmuXezXyYkqnKX+7T0JCAj///DMLFizgH//4B6tXr+aJJ55g5MiRPP/88wD8+9//5vvvv+fVV1+lV69ebNiwgREjRrB8+XJGjRqFqakpzzzzDPPnzycsLIzJkyeXte/i4sK2bduwsLAgISGBMWPGEBUVxejRo1mxYgWDBw+msLCQ7du389VXX3HgwIGyY2fNmkWfPn344YcfyMjIoFOnTvTr14+vv/6aSZMmMXbsWAoLC9FoKi6xm5yczHvvvUd0dDT29vb07t2boFuKYA0ePJiJEydiY2PDW2+9BZTUrt+5cydOTk5Mnz690vdr8+bNNGvWjA0bNgBw48YNioqKePXVV1m7di3Ozs6sWLGCt99+mx9++KFqPygdKkpOJnv3bho//zzC1LTWz38/7B58kOuLFpO9Ywf2w4frOxyljtPZhVchxNtAMXDzM3xl915XWkNBCDFBCBElhIhKTU3VVUg65eHhUVZiuEOHDmULghw/fpwePXrQvn17li5dyokTJwB47rnnWLhwIVDSW37mmWe4ceMGGRkZhIWFAVRYQKSoqIjnn3+e9u3b8+ijjxIbGwvAgw8+yI4dOygoKGDTpk307NkTS0vLCrFt3bqV2bNnExgYSK9evcjPz+fChQt06dKFDz74gDlz5nD+/Pnbjjtw4AC9evXC2dkZMzOzSuvQ36v27dvzxx9/MGXKFPbs2YO9vT0nT57k+PHj9O/fn8DAQP7zn/+QlJSks3NWR8Yvq0BKHB59VC/nvx8W/v6YuLiQtb1+1O9XapZOevJCiKeBoUBf+VcxnCSgebnd3IDLlR0vpfwW+BZKatf83bnu1uOuKeXLAhsbG5cN14wbN441a9YQEBDAjz/+WLaQSLdu3UhMTGT37t1oNBr8/PzIyMi4Y92RTz75hCZNmnDkyBG0Wi0WFhZASfGxXr16sWXLFlasWMGYMWNuO1ZKyerVq/H09Kyw3dvbm9DQUDZs2MDAgQP57rvv6NOn4tBETZUobteuHdHR0WzcuJFp06YxYMAAHn74YXx9fdm3b999nfN+yeJiMlatwrpHd8zc7vvDZa0TRkbY9OnNjXW/oy0oUEsDKn/rvnvyQohBwBRgmJQyt9xL64DRQghzIYQH0BY4eL/nq2uysrJo2rQpRUVFt12IfOqppxgzZgzPPPMMAA4ODtjb2xMREQFQYf8bN27QtGlTjIyM+OmnnyoMrdxcjWrPnj0MHHj7JKWBAwcyf/78spr0f/75J1CyVGGrVq147bXXGDZsGEePHq1wXGhoKLt27SItLY2ioqKy0sHVcacSy5cvX8bKyoonnniCt956i8OHD+Pp6UlqampZki8qKir75FObsnftojglBUcdfnKpbbZ9+yJzc8ndv//uOysNWnWnUP4M7AM8hRBJQojxwOeALbBNCBEjhPgaQEp5AlgJxAKbgZellJo7NG2wZs6cSWhoKP3798fLy6vCa2PHjiU9Pb1C73vhwoW8/PLLdOnSpcLwyUsvvcSiRYvo3Lkzp06dqrBAyIABAwgPD6dfv36YVXLb/TvvvENRURH+/v74+fnxzjvvALBixQr8/PwIDAwkPj6+bLbMTU2bNmX69Ol06dKFfv36lZUXro5Ro0Zx/fp1AgMD+eqrr8pKLB87dqzsou+sWbP497//jZmZGatWrWLKlCkEBAQQGBhYdoG5NmWs/hUTZ2dsSofNDJFVaChG1tZqyEa5K1VquAatWrWKtWvX8tNPP+k7FINSkz/v4mvXSAjrReNnxuFSeiHZUCW9/ga50VG03b27TlbOVGrXnUoNq0VDasirr77Kpk2bKkx/VPTvxvr1oNFgP2KEvkO5b7Z9+5C1eTP5x45haeALtig1RyX5GjJ//nx9h6DcQkrJjV9/w8Lf32DucP07Nj17grExWdt3qCSv3JH6jKc0GAVxcRScOoX9iPoxt9zY3h6rkBCyS2d0KUplVJJXGoyMNWsQpqZ1dmGQe2HTozsFp05RdPXvF3tXGi6V5JUGQRYWkvn7emz69MHYweHuBxgI6x49AMgpnZarKLdSSV5pELLDw9Gkp2P/sOFfcC3PvF07TJydyY7Yo+9QlDpKJfkquFNJ4Joo93uTjY0NUHJT0SOPPFK2fcyYMfj7+/PJJ5/cVgJYubMba9di7OSETffu+g5Fp4QQWPfoQc7efUhNvbsNRdEBNbvmPoSEhBASctu0VJ1q1qwZq1atAuDKlSvs3buX8+fPAzB79myGDx/OjBkzajQGQ6fJzCR7124cxoxGmNS/X3mb7t248euvJVMpS+srKcpNqidfTWfPniUoKIhDhw5VKPc7ffp0nn32WXr16kWrVq0q1HqfOXMmXl5e9O/fnzFjxlQozXvTuXPn6NKlCx07diy7YxUqfooYMGAAKSkpBAYGMmPGjAolgG/9tPHRRx+VVYj87LPP8PHxwd/fn9Gl65jeqTxxfZS17Q9kURH2Q4boO5QaYdWlCxgZkb1HjcsrtzO4bs2VDz6gIE63pYbNvb144P/+7677nTx5sqyOTGBgYFkxspvi4+PZuXMnWVlZeHp68uKLL3LkyBFWr17Nn3/+SXFxMcHBwXTo0OG2tidNmsSLL77IU089VaHOfHnr1q1j6NChxMTEACXzvm+WAL5ZFbMys2fP5ty5c5ibm5ORkQHcuTxx+XIK9UXmhg2YNm+Ohb+/vkOpESaOjli2b092xB6cX31F3+EodYzqyVdRamoqw4cPZ8mSJWUlh281ZMgQzM3NcXJywsXFhatXrxIREcHw4cOxtLTE1taWhx56qNJjIyMjy2rclC9BrAv+/v6MHTuWJUuWYFI6XHGn8sT1TXFaGjn792M3ePB9V9ysy6x79CD/6DGK09P1HYpSxxhcT74qPe6aYG9vT/PmzYmMjMTX17fSfW4tR1xcXEx1agPdTxK6U8lfgA0bNhAeHs66deuYOXMmJ06cuGN54vomc/Nm0Gqxq0dz4ytj3a0r1z7/nNz9+7F78EF9h6PUIaonX0VmZmasWbOGxYsXs2zZsiof1717d37//Xfy8/PJzs4uWynpVt26dWP58uUA97R2apMmTUhJSSEtLY2CggLWr18PgFar5eLFi/Tu3Zv//ve/ZGRkkJ2dfcfyxPVN5oaNmLdtg4VnO32HUqMs27fHyNqanHIrhikKGGBPXp+sra1Zv349/fv3x9raGnt7+7se07FjR4YNG0ZAQAAtW7YkJCSk0uM+/fRTHn/8cT799FNGjRpV7dhMTU159913CQ0NxcPDo6zssUaj4YknnuDGjRtIKXnjjTdwcHDgnXfe4fXXX8ff3x8pJe7u7mV/GOqLosuXyTt8GOfXJ+k7lBonTEywCgkhd79K8sotpJR16l+HDh3krWJjY2/bZkiysrKklFLm5OTIDh06yOjoaD1HVLfp6ud9bcECGevpJQvOn9dJe3XdtR8WylhPL1l45Yq+Q1H0AIiSleTU6i4a8oMQIkUIcbzctkZCiG1CiITSR8dyr00TQpwWQpwUQty+pFEDMWHCBAIDAwkODmbUqFH3tDiHUn03NmzEwt8fsxYt9B1KrbAO7QRArhqyUcqp7nDNj5SsBLW43LapwHYp5WwhxNTS51OEED7AaMAXaAb8IYRoJ+vh6lB3U50xfEU3Cs6epSAujibTpuo7lFpj7uWFkb09OfsPYD9smL7DUeqIavXkpZThwPVbNg8HFpV+vQgYUW77cillgZTyHHAa6HQfsSpKlWVt2QKA7aBBeo6k9ggjI6w7dVLrvioV6GJ2TRMpZTJA6aNL6XZX4GK5/ZJKtylKjcvcug3LoCBMmzTRdyi1yio0lKLLlylMStJ3KEodUZNTKCub9F3ppHEhxAQhRJQQIio1NbUGQ1IagsILFyiIi8N2wAB9h1LrrDuHAqjevFJGF0n+qhCiKUDp483VC5KA5uX2cwMuV9aAlPJbKWWIlDLE2dlZByEpDVnW1q0A2Pbvr+dIap9Z69YYOzmRo6ZSKqV0keTXAU+Xfv00sLbc9tFCCHMhhAfQFjiog/Pp3fTp0/noo4/o1asXUVFRt71ekyWIlbvL3LoNC19fzNwa3uigEALrTh3JPXiwWndbK/VXdadQ/gzsAzyFEElCiPHAbKC/ECIB6F/6HCnlCWAlEAtsBl5uKDNrQkJCKlShVGpPUXIy+UePNsihmpssO3SgOCWFokuX9B2KUgdUd3bNGCllUymlqZTSTUr5vZQyTUrZV0rZtvTxern9Z0kpW0spPaWUm3Qffu2ZNWsWnp6e9OvXj5MnT5Zt/+WXX+jUqRPt2rVjz56S1XnKlyBWalfWtm0A2A5oeEM1N1mVrnGQW8mnTKXhMbiyBntWnuLaxWydtunU3IYe/7hzbZPo6GiWL19eabng4uJiDh48yMaNG5kxYwZ//PGHTmNTqidz61bM27bF3MND36HojXnbthjZ2ZEXfRiHEfVruUOl+lSBsirYs2cPDz/8MFZWVtjZ2TGs3I0mI0eOBKBDhw5/W9NdqXnFqankRR/GdmCDvbkaKJkvbxUURG50tL5DUeoAg+vJ/12PuybdqQzwzfLCN0sLK/qTtX07SNmgh2pusgzpQPbu3RRfv45Jo0b6DkfRI9WTr4KePXvy22+/kZeXR1ZWFr///ru+Q1IqkbV1K2bu7pi3bavvUPTOqnQ4Me/wYT1HouibSvJVEBwczGOPPUZgYCCjRo2iR48e+g5JuUVxejo5Bw5iO2BAvV4Bqqos/PwQZmbkRqkhm4ZO1LW5tCEhIfLWuaY3DOYAACAASURBVOdxcXF4e3vrKSKltt3LzzvjtzUkT5uG+y+/YNne7+4HNADnn3gSbUEBHr+s1HcoSi0QQkRLKUNu3a568kq9kL1jOyZNmmDhV/nSjA2RZUgH8mNj0ebk6DsURY9UklcMnraggOyISGz69FZDNeVYdegAGg15R4/qOxRFj1SSVwxe7v79yLw8bPv00XcodYplUBAYGalx+QbOYJJ8Xbt2oNSMe/k5Z+3YiZGVFVahoTUQkeEytrHBvF078mJi9B2KokcGkeQtLCxIS0tTib6ek1KSlpaGhYVF1Y/RasnesQPrHj0wMjOrwegMk2VAAHlHjyK1Wn2HouiJQdwM5ebmRlJSEqrWfP1nYWGBm5tblffPP3GC4tRUbPv0rsGoDJdlQAAZK1ZQeO4c5q1b6zscRQ8MIsmbmpri0YBrkSh3lrVjBxgbY92zp75DqZMsAwMByIuJUUm+gTKI4RpFuZPsHTuxCg7GxNFR36HUSWbuLTGytycv5oi+Q1H0RCV5xWAVJiVRcPIkNmpWzR0JIyMsA/zVxdcGTGdJXgjxhhDihBDiuBDiZyGEhRCikRBimxAiofRRdbcUncnesRMA29699BtIHWcZEEDB6dNosnVbolsxDDpJ8kIIV+A1IERK6QcYA6OBqcB2KWVbYHvpc0XRiaydOzBr3Rozd3d9h1KnWQYEgpTkHzum71AUPdDlcI0JYCmEMAGsKFm0eziwqPT1RYBawUDRCU1mJrmHotQNUFVgGeAPQqghmwZKJ0leSnkJ+Ai4ACQDN6SUW4EmUsrk0n2SARddnE9RssP3QHExNmrq5F0Z29pi1rqVuvjaQOlquMaRkl67B9AMsBZCPFGN4ycIIaKEEFFqLrxSFdk7dmDcuDGW/v76DsUgWAYGknfkiLqhsAHS1XBNP+CclDJVSlkE/Ap0Ba4KIZoClD6mVHawlPJbKWWIlDLE2dlZRyEp9ZUsLiY7IgKbnj0Rxsb6DscgWAYEoMnIoOj8eX2HotQyXSX5C0BnIYSVKCkD2BeIA9YBT5fu8zSwVkfnUxqwvCNH0GZmYhMWpu9QDIZlQABQ8t4pDYuuxuQPAKuAw8Cx0na/BWYD/YUQCUD/0ueKcl+yd4eX3OXarau+QzEY5m3aYGRtrZJ8A6SzsgZSyveA927ZXEBJr15RdCY7PByr4GCMbW31HYrBEEZGWPj6knf8hL5DUWqZuuNVMShFV65QEB+PTZiqVVNdFn5+FMTFIQsL9R2KUotUklcMSnZ4OIAaj78Hlu39kEVF5Cck6DsUpRapJK8YlOzwcEyaNcWsTRt9h2JwLNq3ByD/2HE9R6LUJpXkFYOhLSwkZ+++kqmTai3XajN1dcXYwYG846q8QUOikrxiMPKiopC5udj0VEM190IIgYWfH/nq4muDopK8YjCyd4cjzMyw7qzWcr1XFu39KEhIQJuXp+9QlFqikrxiMLLDw7Hq1AkjKyt9h2KwLP38QKMhPy5e36EotUQlecUgFF64QOG5c9ioZf7ui4Vf6cXX4+ria0OhkrxiELJ335w6qZL8/TBt4oKJi4u6+NqAqCSvGITs8HDM3N0xa9lS36EYPAs/PzWNsgFRSV6p87S5ueQeOKB68Tpi2d6PwnPn1HKADYRK8kqdl3PgALKwEGs1Hq8Tf43Lq6mUDYFK8kqdlx0ejrCywqpjR32HUi9Y+PkCkK/G5RsEleSVOk1KSU74Hqw7d8bIzEzf4dQLJo6OmLq5qYqUDYRK8kqdVpiYSNGlS1h376bvUOoVi/Z+5B9TPfmGQGdJXgjhIIRYJYSIF0LECSG6CCEaCSG2CSESSh8ddXU+pWHIiYgEwKZ7dz1HUr9Y+PhQdOkSmhs39B2KUsN02ZP/FNgspfQCAihZ/m8qsF1K2RbYXvpcUaosJyIC0xYtMGvRQt+h1CsWPj4A5MfF6TkSpabpJMkLIeyAnsD3AFLKQillBjAcWFS62yJghC7OpzQM2sJCcg4exEYN1ehcWZI/EavnSJSapquefCsgFVgohPhTCPGdEMIaaCKlTAYofXTR0fmUBiDv8GFkXh7WaqhG50wcHTFp2lT15BsAXSV5EyAY+EpKGQTkUI2hGSHEBCFElBAiKjU1VUchKYYuJyICTEyw6qSqTtYECx8f8mNVT76+01WSTwKSpJQHSp+voiTpXxVCNAUofUyp7GAp5bdSyhApZYizs7OOQlIMXXZEJFZBQRjbWOs7lHrJwsebwnPn0Obk6DsUpQbpJMlLKa8AF4UQnqWb+gKxwDrg6dJtTwNrdXE+pf4rTk2lID5eDdXUIAtvH5CS/JOn9B2KUoNMdNjWq8BSIYQZcBZ4hpI/IiuFEOOBC8CjOjyfUo9lR5ZMndTr/HitBqQEI2Ooh8sNWviWXnyNjcUqOEjP0Sg1RWdJXkoZA4RU8lJfXZ1DaThyIiIxbtQIC2/vmj9ZXjokRsDFg5B6EtISICcNCjIBCQgwtQK7ZmDvBs6e0CwY3EKgUSuD/QNg4uKCcePGaly+ntNlT15RdEJqteRERmLdvTvCqIZuys7LgBO/wdEVcGE/IMHYDBq3hQf8waYJWDqAkSloCqEgCzIvwY0kiF4EB74uacfRHdoOBJ9h0LKbQSV8IQQW3t5qhk09p5K8Uufkx8ahSU+vmfnxN5Jg7/ySRF2cB06eEPYvaNULXEPApAr1cTTFkBoPF/ZBwlY4vAgOfgOOHhA0FoLHgY1hTCCw8PEh7Ycf0BYWqtpA9ZRK8kqdkxMRAYB11666azQ/E3bPgQPfABLa/wM6PQ/Ngqrf+zY2gQf8Sv51eh4KcyDud/hzCez4D4R/BEFPQNdXS3r6dZiFjw8UF1NwKgHL0uqUSv2ikrxS5+RERGDu5YWJrqbTHv8VNk+F7JSS5Bv2L3DQYZkEM2sIGF3y71oCRH5a8kkhaiF0HA9hU8G6se7Op0MWPiXXPPJjT6gkX0+pJK/UKZrsbHJjYmg87um773wHxdpijl87zomr0cQeW0ZS1gXSGltxo5k3Iu8oRluewtHCESdLJ1rYtsCrsRd+jf3wbOSJkbjzNYDczEJSL2aRlZZP1vV88rMK0RRLNBotpmbGmFmZYGljimOL93DweROHuM8xOvQ9HFkBPd+Czi+Csek9f181wbR5c4xsbdW4fD2mkrxSp+QePAjFxdWeH6+VWg4kH2D92fWEJ4WTUZABQGONBnf75ng/EISduQNCCDRSQ3p+Oqm5qWw6t4mVp1YC0MiiEd2adaN/y/50d+uOJg8uxl4n8fg1Lp/KIDu9oOx8RkYCC1tTTEyNEEaC4kItBXnFFBdoyvYxtRhGU7eRuBbvptWmL3A4uhKGfQauwTp4p3Sj7OKrmmFTb6kkr9QpORERCEtLLIOrlgiLNEX8dvo3Fscu5nzmeWzNbAmz9yTsZDgdtALnUYvA/c4XcKWUJGUnEZMSQ8SlCCIuRnI06ixb02JxTfNCSIGFjSluXo40cbfDuYUtDi5WWNqZYWR0+1h+YV4xGSm5pCfncOVsJpdPZ7Dvcmf20RmnzIt4nv0E77A2mA+aCibm9/w+6ZKFtzfpy5cji4sRJiol1DfqJ6rUKdkRkVh36nTXmR5SSrac38K86Hlcyr5Ee6f2fND9AwZkZWG+9pWSueyPr7jr2LsQgua2zWlq3oyWF4LwOT6M7OsFFJsXcKzpLs45HSW0vT/9Ap6jpd3dx/HNLE1waWmHS0s7PDs3BSDrej5nDqeQcNCKyAvNObAhH8998wh+ejh27byq/ubUEAtfH2RBAYXnzmHetq2+w1F0TCV5pc4ovHCBogsXaPTkk3+73+Xsy/xn/3/Yc2kPXo28+KLvF/Rw7YGIWQZrXwb37jB6GVjY3fWcGo2W47svEb0pkbysIpq2tqfHo+1o6d+Yq3kBLDqxiF8TfmX9ufU85vUYE/0n4mDhUK3vy7aRBYH9WhDYrwWpF7I4tm4/8ScCifvfBbx9ThPyZD9sHC2q1aYulZUdjo1VSb4eElJKfcdQQUhIiIyKitJ3GIoeXF+2jKvvz6TVpo2Ye3hUus/289t5J/IdimUxrwW9xhivMRgbGcPhn2DdqyXz3UcvAzOru54v8dg1IledJuNqLm5ejnQc4kGztrcn8Is3rvLhvnlEXN2IMRY4FT5M8Y1OZOQWk1uowUgIjI0E9pamONma09TOgnYP2OL1gC3BLRx5wP72BJ598TzRC1YTm+KLkZGgw5DWBA3wwNi09lfklBoNJzuE4PjYP2gybVqtn1/RDSFEtJTytqoDqiev1Bk5EZGYurpi5u5+22sarYZ5h+fx44kf8Wvsx9ywubjZupW8GL8Bfn8NWvcpSfCmf98rzs0sJHz5Kc4cTsGhiRVDXvanpV9jRLn58onXcthwLJntcVc5dukGRZruGJm3wabZeq5YLMXeJZpe1i/gYtkcCRRrJBl5haRmFXDqahZbY6+gLe0/tXK2pltrJx70e4DQVo0xNhLYNG9J2PRJBP3+X/bu0HDgdxPi9yXT60lf3Dxrd5VMYWyMhacn+bFqhk19pJK8UifIwkJy9+/H7qGHKiRbgAJNAdP2TGPb+W2M9hzN5I6TMTMuHbO/sB9WPVtyU9NjP901wSdEXSV8+SkK84sJHd6KoP4tMDYp6T3nFBSzJuYSPx+8wPFLmQD4u9kzvnsrQj0aEdTCAXvLZ/k14Vc+ivqIiLxp/J///zGizYjbYs4v0nDqahYHz10n8vQ1VkUn8dP+87jYmjM8sBlPdG5Jy8bW2A2fxqBWqzi/YjbhN8az9pNCAvo2p/OIVpiYGuvo3b07cx9vMn9fj9Rqa66UhKIXarhGqRNyDh7kwlNP4zr/M+z69y/bnluUy8vbXybqahSTQybzlO9Tfx10/Rws6A2WjWD8VrB2umP7xYUawpefIm5vMi4tbenztDeNm9kAkJpVwLfhZ1h+6CJZ+cV4N7VjVLArD7ZviquDZaXtXc25ytuRb3Mg+QCDPQbzbpd3sTa9c937vEIN2+Ovsi7mMjviU9BIST/vJrzQsxUh7o0g+QhFy55hb/JAjmf3p1EzawY851sWY01LX7mSK+++R+utW9R6ugZKDdcodVpO5F4wNsa6c+eybfnF+by24zUOpxxmTo85DG41+K8DCnNgxRMlpYCfWPW3CT7jai6bvz1O2qVsOjzYkk5DPTAyNuJ6TiFf7z7D4n2JFBZrGeLfjKe7tKRDS8fbeua3amLdhG/6fcP3x7/ni5gvOJF2gs96f0Yrh1aV7m9pZsxQ/2YM9W/G1cx8ftp3nqUHzrMt9iq9PJ15a4AnfhM2Erb0EdwvHGR7+lRWzYmmz5NetA1pUq338l5Y+JTc7ZofG6eSfD2jevJKnXDukUcRZma4L1sKQJG2iEk7JhFxKYJZ3WfxUOuH/tpZSlj9HBxfDWNXQdt+d2z3/Ik0tiw4jpGxoP8zvrT0a4xGK1l64DwfbTlJdkExIwJdebVvWzyc7m0FqqgrUby5+00KNYXMDZtLd9eq3ciVV6hh8b5Evtx1hht5RYwMcuXtfm403jCenIQjbJafceWaDYH9W9BlRCuMjGtuGEVbWMjJ4A40fvZZXP75Ro2dR6k5d+rJ6/S3RghhXLqQ9/rS542EENuEEAmlj7V7RUkxCMXp6eSfOIF1t78Kks05OIc9l/bw787/rpjgoaTI2PFV0Offf5vgj4dfYsMXR7F3tuSxtzvR0q8xMRczeGh+BO+uPUF7N3u2vN6T/z0WeM8JHiDkgRCWD1mOq40rL29/mSWxS6hK58nSzJgXwlqzZ0pvXuzVmt+PXqb3/GiWtfkYy8D+jDB+hvYeF4jZdoFNXx+jqNzdtLpmZGaGeevWqrxBPaTrrsEkoPxvyVRgu5SyLbCdaizurTQcufv2gZTYdCu5M3XlyZWsOLmCcb7j+IfnPyrufOU4bHsH2j0IPd6stD2plUSuSmD3spO08GnEw28GY25nxtwt8Yz8MpL03EK+HBvMkvGhtG1iq5PvoalNUxY/uJhebr2Yc2gOc6PmopXaKh1rZ2HKlEFebJrUA99m9vzfupOMTnmG3OBn6Zk3iTDfGM4fT2PNJ3+Sm1mok3gro2rL1086S/JCCDdgCPBduc3DgUWlXy8CRujqfEr9kb13L0a2tlj4+RGTEsOHBz6kh2sPXg9+veKORXklwzSWjjD880pLBGs1WrYviiPmj4u0D3Nl8IvtSbyRx/AvIvli5xke6eDG1jd6Mrh907uOu1eXlakVn/T+hLHeY/kp9ifeiXyHIm1RlY9v42LLsudDmfuIP7FXsuh6uC8n272AX9oMBgXs4fqlbFbPjSbzWp5O477JwscbzbVrFKWk1Ej7in7osic/D/gXUL770kRKmQxQ+uiiw/Mp9YCUkpzIvVh37kyONp+pe6bSxLoJc3rOKbnJqbxt70FqHIz4stILrZpiLVu/P8HJA1cIHeZBj9Ht+P1YMsM/jyQ1K5/vngrhv48EYGtRc5UgjYQRUzpO4eXAl1l3Zh3/3PlP8ovzq3y8EIJHQ5qzaVIP2j1gx8CjYWx0fo5WV/7H8PZrKcgp4rePD5ORkqvz2G/e+VqgevP1ik6SvBBiKJAipYy+x+MnCCGihBBRqampughJMRCF5xIpTk7Guls3Pjz4Ick5yczuMRtbs1uGUc7uLll9KfRFaHP7OHxxkYbN3xzjzOFUuj3SBv8BLZnxeyyTlsfg52rHhtd60M+n5mepQEminhgwkbdD32Z30m5e2f4KecXV6303b2TFigmdea1PG1662IfvrJ7jgcs/MMJ7BcVFGn77+DDpV3J0Gre5V0kdHVWRsn7RVU++GzBMCJEILAf6CCGWAFeFEE0BSh8r/RwopfxWShkipQxx1tVCEYpByImMBOB4KyPWnVnHBP8JBLoEVtypMBd+n1SyaHa/925rQ6PRsvnb4yQeSyPscU/cuz7AE98f4Me9iYzv7sGy5zvTxK72a8OM9hrNrO6zOHjlIJN2TKpWjx7AxNiIfw7wZMFTIczLGcBsMR6nS0sY4fMLUiv57X9/cj1Zd4ne2MYG05Yt1J2v9YxOkryUcpqU0k1K6Q6MBnZIKZ8A1gE3V394Gliri/Mp9UdOZCQmzd2YeWEBbRzaMMF/wu077Z4N6efgoU/BtOLNSVqt5I+FsZwvTfB2vo6M/GovMRcy+HR0IO8M9cG0Bqce3s1DrR9iZreZ7E/ez+u7XqdAU3D3g27R36cJa1/pxjabYczSPEnjC4t52G81Alj3aYxOx+gtvH3Uxdd6pqZ/+2cD/YUQCUD/0ueKApSWMjh4kDPtbEnOSebdLu9ianTLePnlGNj7OQQ/BR49Kx4vJbuXxnM6KoWuI9tQ5G7Fw19Gcj2nkCXPhTI80LUWv5s7G95mONO7TifyUiRv7HyDQk31Z8i0drbh1xe7ccRtLLOLRuN4biEP+a2juEDDuk9jdDbrxsLbm6KkJDSZmTppT9E/nSd5KeUuKeXQ0q/TpJR9pZRtSx+v6/p8iuHKO3IEbW4uqxwSGNl2JEEuQRV30GpKCo9ZO0H/mbcdv3f1aWIjkwkZ7E5uKyseX3AAa3MTVr/YlU4ejWrpu6iakW1H8m6Xd9lzaQ9vR7xd5emV5dlbmbL42U5c9H2Bj4sewensNwwJ2E7OjQLWfRZDQW7VZ/LcSdmar3Hx992WUjeoSkSK3mRHRqI1EpxuZcGrQa/evsPhxZB8BAZ+AJYVSwAf3XmxZJpkLzdy2lrzzI+HaNHIilUvdqG1c+3Ue6muR9s9yhsd3mBz4mbmHJxTpRumbmVhasz80UFkd/4n84tH0DRxHoOCD5CenMPGr46hKa7+H48K7XvfTPLq4mt9oZK8ojfXdm/nVFPJox3G4WR5y5TIvHTY/j607AZ+oyq8dO7oNSJWJuAR4ESOjw0vLImmXRMblk/ojIut/hbfqIpnfJ/hKZ+nWBa/jAXHFtxTG0ZGgneH+pDbbSrfFT9Iy8QP6N3xNJcTMti1JP6e/njcZOLkhImLi5phU4+oJK/ohSYjA+JPk9DGiqd9nr59h50fQn4GPDinwk1PqRey2PrdcZxb2ELnxryyPIb2rvYsfa4zjtZ/v2RgXSCE4M2QNxnaaijz/5zPqlOr7rmdfw3yIrPHe6zW9MAr8S1Cgq4Tv/8Kh7ecv68YLby91Vz5ekQleUUvTmxdgZDQesBIbMxuGV65GguHvoMOz8AD7cs2Z6fns/6LI1jYmOI4yJVJq44Q4GbP4vGh2FvW3A1OumYkjHi/2/t0d+3OzP0zibgUcU/tCCH450BvLveYyzZNMCGXn6Ntu0L2rznL6eh7v2vV3MebgrPn0OZXb8qnUjepJK/oRcKWX8g1FwwafMtYvJSwZRqY25YUICulKdKy6ZvjFOVraDnCnVd+PUJbF1sWPtMJG3PDq5htamTKx2Ef086xHW/tfouE9IR7buvVAd4c6/IJUdKTsMxxNHWV/PFjLKkXsu6pPQtvb9BoKDh16p5jUuoOleSVWncm4wxOxy+R3d4da8tbFts+swPO7oJeU8Hqrxky4StOkZKYSZuHWvDKhuM0c7Bk8fhOBtWDv5WVqRXz+8zHysSKV7a/wrW8a/fc1hsPBrDV/xPOaF3oVzwRS0vJ5m+PkZ9T/Rk35WvLK4ZPJXml1v2280tcbkDrARUvqKLVwh/vgUNLCHm2bPOJPZeIjbhMm7BmTN53GntLU5Y+F4qTjXktR657D1g/wPy+87mef/2e7oq9SQjB/43swpK2/yNDSnpZzSI7vYBtP5xAq63ehVhT12YY2duri6/1hErySq3KKswibfd2AFx69a/44vHVcOUY9HkHTEoS+JVzNwhfcYqmng7MSUpGIyU/je9EU/vKl+UzRL6Nffmwx4ccvXaUdyLfuac59ADGRoIZj/fh62Yf0Egep5Pzb1w4cZ1D689Vqx0hBBZeXurO13pCJXmlVm04uwHvM4XIpi4Vl5krLoQdM0sutJZOmczPKWLLt8extjdnlWk+SRn5LHgqhFZ1dB78/ejXsh+vB7/O5sTNLDh6b1MrAUyNjZg27mFm20wlQLuY1s5xRG1M5NzR6g0FWXh7U3DqFLK4+J5jUeoGleSVWiOlZFXcCtpfEDj27FXxxeiFkHEe+k0HIyOklOxYHEduZiHH3U3Zm5TO3Ef96ehet+5k1aVn/Z5lsMdgvoj5gvCk8Htux9bClJeff4H/mYynn9F0Gtllsn1RLNnpVR8KsvDxRhYUUHD27D3HodQNKskrtebotaNwIgGLAi3WpatAASWLcu/+b0ltmtZ9ATi26xLnjlyj2M+elWdSmDzQs87UoqkpQgimd52OZyNPpoZP5ULmhXtuq5mDJQ8++y4rZG8eNJuGpqCIPxbGVnl8/uadr2q+vOFTSV6pNevPrCc40QiMjLDu3PmvFw59B7nXSsbihSD1YhaRqxOwdrfhf+eTGRnkyku9Wusv8FpkaWLJvN7zMDIyYtLOSeQW3fviIO3d7HF59GMSjGzpav01l05lcHhz1W6UMvPwQFhYqBk29YBK8kqtKNYWs/X8VrpessayfXuM7UqnThbmQOSnJT345p0ozC9m63cnMLU04YucdHxd7fhgZHudL9VXl7nauDK351zO3jjLvyP/fV9lCvq3b05M509xMT+Iu00UB9efJfnMjbseJ0xMMPdsp2bY1AMqySu14kDyAQrS03A5f6PiUM2h7yA3rWRePBC5+jQZKbn8Ya9BY2bEN0+GYGFqfIdW668uzbrwRvAbbDu/jR+O/3BfbY0f1JkfXd+jt+U8rEwz2fb9CQry7n5B1cLbm/z4+6uFo+ifSvJKrdh4biMhlywQWol1t64lG8t68X2geSfOn0gjds9lUpuZcSg3l88fD8LVof5Mlayup32fZpD7ID49/Cn7k/ffcztGRoIXn36SHy0fY5D1f8hOzyPil7vfYWvh7YM2K4uipKR7Preif7pa47W5EGKnECJOCHFCCDGpdHsjIcQ2IURC6aOjLs6nGJYiTRHbL2xnQEoTjKytsfT3L3nhZi8+bCr5OUXsXByHsDflp+wbTHvQi66tb1+suyERQjCj6wxa2bdiSvgUUnLvvR6NnYUp/Z+dwVHTRgRarSZ+bzKJd5lWWVZbXo3LGzRd9eSLgTellN5AZ+BlIYQPMBXYLqVsC2wvfa40MH+m/ElOYTYeJ29g1bkzwtS0tBf/WUkvvkUoe1aeIjerkCUym/5+DzC+u4e+w64TrEyt+F+v/5FXnMfk3ZMp1t77vPW2D9ihHfoprtbbcTC9xM4lcX9b9sC8XTswNla15Q2crtZ4TZZSHi79OguIA1yB4cCi0t0WASN0cT7FsERejsQt3RiTK2l/DdVE/VAyoyZsKmf+TOHUgasctQPRyJw5j/g3qAutd9PKoRXvdnmXwymH+ezPz+6rrUEdvdnU9h362X5MXlYB4cvvXITMyNwc89at1Z2vBk7nY/JCCHcgCDgANJFSJkPJHwLARdfnU+q+vZf3MjilKQA2PXtCcUHJuq0ePclzDGL30pPk2RixQ+Qz//Eggy46VlOGthrKo+0eZeHxhey8sPO+2nr6sTFstu1CR+sVJBy6ypk/7zwMZOHtrWbYGDidJnkhhA2wGnhdSlnllYCFEBOEEFFCiKjU1FRdhqTo2bW8a8Rfj6fD2ZK512ZubnB0BWRfge5vELEqgbzcIpaLXP45yJPgFuqyzZ1M6TQF70bevB35NpeyL91zO5ZmxnQZ9yFaq+M0NjnH7iWxdxy2sfDxRpN6jWL1/9Jg6SzJCyFMKUnwS6WUv5ZuviqEaFr6elOg0i6DlPJbKWWIlDLE2dlZVyEpdcC+y/swLZI4xCVj07NHyeLckZ/CA/5cLAjg1IGrHDAvxsfbiQk9Wuk73DrN3Nicj3t9DBLe3PUmhZrCe26rXVMHrvadR2e7b8nPKWbfr6crP2fZmq9qyMZQCqMHuAAAFCVJREFU6Wp2jQC+B+KklP8r99I64Obabk8Da3VxPsVwRF6OpPMVG0RhIdbde0D8Bkg7TVHo6+xcdpIcM4hzFHz8aABGRmoc/m6a2zZnZveZnEg7wdxDc++rrYd6dmK360MEWK0jNjKZywkZt+1TtrC3mmFjsHTVk+8GPAn0EULElP4bDMwG+gshEoD+pc+VBkIrtey7vI++lxshLCyw6hgCkfPA0Z2oc/5kXcvnd9MC3n/YD2dbw68NX1v6tujL0z5Ps/zkcjad23TP7Qgh+P/2zjy8ivJc4L83JytJ2JGwCIJEQLaALA8gYItKUYFbtJRarxZvqesVt4LcXi0udBGuS326aKVWcdcqqKDgAijBBTARRVEDsouiFFJDIlne+8c3IYcAkuXMmUn6/p5ncs7MfDPzy8ycd2a++ZZzLrye0syPyYh8ybIH11Feemgzx5HMTJI6dbI7+QZMrErXrFRVUdW+qprjDYtV9WtVHa2q2d7nnlhsz2gYbNizgT0le+i2oZAmQwaT8Plq2LGWr3pcx7svb+OD5DIGDm7H2D7tglZtcEw7ZRr9j+vPr1f9mo17N9Z5Pa0yU2HcHAZl/p29X5Xx7pLD2563l68NG6vxavjGqp2raLtHSd75NRkjRkLuXWiT43htbXdKEmB9mwizxvcKWrNBkpSQxJyRc0hLTOOa5ddQVFpU53WdNrAveSeeTnbqG6xZ/Bn/3HXoulJ79qR02zbKC2tclsIIERbkDd/I3ZHLmF3uRXpGz+Og4BU+ajOT3VuLeDXlALMn97XikvWgbXpb5o6ay5bCLdyUe1O92pgZf8FVRJrlkajFrJj/3iHrSuvbB4Dide/X29mIPxbkDV8oKi0i/8t8Bm9JIrlzZ5I3P8G3icexcl1XtkfKGTCiPSOyrSRVfRmUNYhpA6axdMtS5n84v87ryUxLpul5s+mb8Q92bCzhs/eqikym9u0LIhTn58dC2YgzFuQNX3jn83dIOFBKmw93kT4kBz54hreTf8WB4gry2yQwY2zPoBUbDVN6TWF0p9HcsfYO1uxaU+f1DOrTix3dutIycSsr5udRdqAcgEhGBinZ2RTn5cVK2YgjFuQNX8jdmcugLUnIgVIyW+7i67JOvP9ZJ95LLuPaSb3JTLVsmlghItw6/FY6ZnZkypIp/HDhD7n5zZtZWLCQrYVba5WNM/qCGbRvuoT9RUmsfaGqRE1a//4Ur1uHVtStk3EjOBKDFjAaJ6t2ruLnW5uTkPkNafte4qXSOyhBSRvQkjNObhu0XqMjMzmT+8+8n4UFC8nbnceSz5bw9CdPA9A6rTVD2w1leIfhDGs/jBapR69V3Cw9hYSzLqXLUyt59+VB9Bx1Ik1bpZGWk8PeJ57gwMaNpGRnx+vfMmKABXkj5mwr3MaOfVvJ/jCZjB5t+ay4Jbv2ZrEms5y7z+0dtF6jJSs9i0v6XQK4Ogob924k78s81nyxhjd2vMHzm55HEHq37s1px5/G2C5jOT7z+MPWc+rwkTz35nMkbCxn2byVTJh+Bmk5/QDYn59vQb6BYdk1RszJ3ZlL9+2Q+K9i0tI3saLoMnYnVDD+3JM4LjM1aL1/CxIkgewW2UzqPonbR97O8knLeezsx7g853JEhHvy7uGsZ87i/EXnM//D+ez7tqpLQBFhyMU30jV9Cds3Rdi+fhfJJ5xApHlzivPs5WtDw4K8EXNyd+byvc1NkMQECtJGUlzalM9PTGXykE5Bq/3bEkmI0Lt1by7tdymPnPUIS89dyrWnXEtZRRm3r76d0586nVmrZvHpP12PUVmtmqMjh5IZ+YJX5r2NVihp/fuzf03dX+wawWBB3ogppeWlrN75NoM2lCMdm7K25Fw+TS5nxoU51kZ8iGiX0Y4pvafw5LgneXrc05zd9WwWbVrExOcmMn3FdLYUbuH0cZNo0XI1RfszeWfBGtKHDqV061YOWHeADQoL8kZMyd+dT8fN+0n/ej8FHcdSpomcMLoDXdtkBK1mHIXuLbsza9gsXvnRK0ztM5Xl25czYcEE/pB3NydeNJWs5Pd579XdRHIGA1CUuypgY6M2WJA3Ysrr219n1IdQ2KILmxNP5ePmCVx2dvegtYwa0CylGVcNuIrFExcz7sRxzPtgHjPen07hyYWUVySzbPF6ErOyKFplQb4hYUHeiCkrNy9n2EdQ0H0iZfItP76oFymJkaC1jFrQOq01tw6/lXtPv5ei0iL+lPEc0mwVOzY35dv+oyh66y20rO59zRrxxYK8ETO2Fm4l6+1N7G02iL2pXdnTozkjelqZ+IbKsA7DeOKcJ+jRsgf3n7QIiXxDXklXyvftY//q1UHrGTXEgrwRM5ZsXsIZ+ekUdJtISdI+/ntK/6CVjHrSpkkb5o2Zx4iuw1jWeRGF2pEvOgxl36JFQasZNcT3IC8iPxCRj0WkQERu8Ht7RjBUaAXvv/gw5ZmTKI+kkH1eDq2bWpn4xkByJJk5o+bQcUAGX6Zv5eOu49n9ykpreriB4GuQF5EI8EdgLHAy8BMROdnPbRrBsHzTqwx9sydfHjeAso77GT+qS9BKRgxJSkhi7vfn8s8+aziQmMoHnX/MVw/VvdVLI3743azBYKBAVTcBiMjjwAQg5t3MFBcVUVFe+TJIUUABKqCi4tAGmlTLD6ZDQdUtcbAhJ/Wmo+ghyyoVVKDeyg9p96nCbROtiJpUcXB96ll5qdBy9QQrE1dtQ73lKlPrwT9ErcFzqPTTqv876k/V9hT3/2llmqrtV22PqmnV/sGq9Xhpo9qpKtlfSMFDSyhtex5N2MTk6T/DaHxEEiLceeHd/OrLmUT0B7z6+nq6ZjxAnx+dR4Ll/MaEpORkEpNi23if30G+A7Atanw7MMSPDT165R2UpAz3Y9XGMUmG9HE0KVvPuDkXk5ZiTSI1ViIJEWZf9xtunz0LqRjB2reSWPuWvYSNFa3ar2TyTTfFdJ1+/xqPVMXxsHZPReQXwC8AOnWqW9X3jC4g21/7rs0cIlXt3h7kyLIHFzhknYev4eiLenfANajseTDtkTZ92Eh1pxp6yaHbqpoevXKN2th378dKmnfvzDlXXEFCgt3RNXYikURm3nQbK19bzCfProASO+axokPvvjFfp9Sny7BjrlxkKDBLVcd44zMBVPW3R1tm4MCBusbaxzAMw6gVIrJWVQdWn+73JXg1kC0iXUQkGZgMPOfzNg3DMAwPX7NrVLVMRK4ElgAR4G+qut7PbRqGYRhV+P6GTFUXA4v93o5hGIZxOPbGxDAMoxFjQd4wDKMRY0HeMAyjEWNB3jAMoxHjazn5uiAiu4EtdVy8NfBVDHVihXnVDvOqHeZVO8LqBfVz66yqbapPDF2Qrw8isuZIlQGCxrxqh3nVDvOqHWH1An/cLLvGMAyjEWNB3jAMoxHT2IL8fUELHAXzqh3mVTvMq3aE1Qt8cGtUefKGYRjGoTS2O3njKIhIDRo7NsKOHUejtjSoIC8i7cJ4kotIexFJCdqjOiLSR0RmAGiIHtlEJCtohyMhIm2DdjgSItJdRMZC6I5jZxGpWwcQPiMioexgOIgY1iCCvIikiMifgRXAfSIyMWgnABHJEJE7gBeB+0XkfG96oPtVHHOBR4FEEYltf2J1RETSROQu4CURuVNEJgTtBAeP453AiyJyb8jOr/8DHgOSg/apxDuOd+LO+wdF5DJveuDxRETSReQ+4Nci0sqbFviNYZAxLPCDUkPGA+1U9STgBeAWETkpSCERaQ/8HffjGw4sBCrvmiuOvmRcaAO0A05R1dmqWhqwTyVXAG1UNQdYAPxGRLoFKSQiHYD5uN/CWbgf4e1BOgGISFPgGeBUVR2gqguDdoriKqC9qp4MzAKuhuDPe+/u/RbgVCAT+J7nFYann8BiWGiDvIhkRI0qsBvAO9lfAi4RkeYBeGV6X/cB16nqlar6DdAWWCAibbx0cd23UV4AzYBsVT0gImNE5HoRGRNPnyivDO8zArTAneCo6gqgCHfH1SwIN48S4H5Vnaaqu4AngXwRiX0/bLX3mg+sBxCR4SJypohke+Nx/+2KSMTbrgDrvMntgUUi0iPePlFeTbyv3wJ/BkYCnwKniMiJXpq4382HJYaFLsiLSDcReRL4u4icLSLpQDFQ6N09A8wBBgC9vGV8P4DVvYAkVd0iIk1EZBpwA5COO+FPVtWKOHs94O2vlsA3QK6I3AJMxwWMu0TkomonXjy8HhSRc7zJ/wKGiEg/72K4ATgJ6OotE4/91V1E/iIiaQCq+jWwPCrJ8Z7Px367HMPrAPAaoCKyC/gNcAawQkR6xfH8OuilquXe3fpOoJOIvAH8HndcXxGRM+IZTEUkW0QewmV/jAcyVbVAVb8ClgGpBHA3H7oYpqqhGXAXnReAG4EJuKvy74AUYBEwFkj20s4Cng7I64/APd48AU6KSnsL8HJAXn8C5nrz7sEFr37e+HnA07gfQry9/gLMBpK8z6eAfO943grcF6f9dSrwDlAB/Kry+FVL0x14Jh4+3+UVtR9HA9dXO79eCoFXM9xTT5Y37QpgcRz32X8CHwKXARcDfwUurJZmKnAnLtsyXl6hi2FxO5FruIM6AA8Dkajxd4AhwI+AB4DB3rwe3oFNCsjrTWC8Ny6VwQJ3F7gASAvI623c42o/4GXg4qj0y3B5qUF5nemNdwFaet/PBa6p3I8+e/UEegPdgAJcg07V00wG5njfpwJ947C/qnudEDUvtVrabFxefWpQXt753sELoF29aSm4m4pWfnt52zsTGBc1/nvgUu97ovfZCfhf4HLck/bIOHiFLoaFKrtGVXcAA3GPpZXjfwJuVtWngE+AmSJyHfA4sEnj8FLxKF5/Bq7xxlVVVUSGAn8DVqlqcYBeN6rqe7jac+NEZKb3aP0BsCcgrz8C/+ONf6aqe0RkJHAtsM2b7usjtap+BBSoagHuAngLHJa/PRpoJSL/AM7HZXX5yhG8bva8RFUPbl9EhgHzgLeip8fbyztOu3AXnKki8jNcP86rce+qfEdVlwJLRaSyC9MS3PsBVLXM+9wKZAC34S7eQZ37wcaweFx1j3C1O+wul6or38+AlVHTm+MeCwfh7iBGAHcDF4TA6zHPJx33A8gDJoXA6wlgmDfeC7gOmBwCr8fw7qZwd/CfAufHwytqXuUTVybu7nR0tfkv4l52nhcWL1ygmoHL4vpxiLz64u6SF/lxfh3LrVq6R4CJ1aYNAj4HfuqDV0ugafR+ouoJIrAYdkTXeGyk2s75HfA80N8bT6g2P4J74XR11LQHgd5h9gJywugV4v3VPAivSjfv82rgBe/7T7wf4Gkh9Eok6r1PiLx8zZKsoVsC0AR4FlfCTYAxQIqPXjcCH+HuxGdVdwvqN3m0Id7F/H7uHYBPgYlweNlaVS0HfglME5H/EJELcPmCvpXBradX5fz8kHmFdX+pN39vEF4eFd68u4DhIrIPOB0XGJaH0CtJVT8Jmdf38erdxdqrNm7etGbecDZV76Ri7iauotUc3Hl8GnATcLWInKBRpZ2C+E1+J35fRfBesHnfWwAdcQfhXuAsb7pEpUnwPifgskBex1UIMS/zqrdXVNpmuGJs64Dh5hWsVz3dxuEC6JPACL+8cE9Up+Fly3jT/kpU4QZvWlzO/Rr7+7Zid1LcD6zC5dv1qjZvGvAHvHwtqvL+/C5hYV7/xl5RaRLwoeSMeQXilg5c4rPXFXhZZt6+EFxt92VUy6r1+9yv7eBnds1MXN7Uf+GuygfbSVbVfbgiiIIrv416e6fy07zMyw+vqDQVqrqO2GNecXQTkQRVLVLVe+Pg9YC3/QrcXX0prpbtjuiF4nDu14qYB3lxVBZrekRVP1LV2cABEbk5KukHuKtgHxH5pYhc5metL/MyL/MKj1es3NSH9nKO4nVbtJe6Yo9dgDJV3S0iE0VkcqxdYkHMg7w6ynBlVk+JmnU5cLmItPDS7cddnScDv8CVF/XtCmhe5mVe4fEKs1tNvXBl4ZuIa1phBq7uQPjQ2OdjVb50GIBrkCctat5fgelald+1iagq234O5mVe5hUerzC71cBrpvf9BuALYGq89lldhjp3/yeuM4py4G6NqrElXit1qlouIo8Dxao6xZt3PbBLVR/2xpPVNcQUM8zLvMwrPF5hdquvl4j0BzZoHGq314s6XOXScNXTdwBr8BrA8uZFF6HrgmvP4g0v/WRc8auJtd2meZmXeTUsrzC7xcAr5rWh/Rxqs2Mqq+wKrpOMRFzzp3cQ1bIhkAU8BLyFa3UwB9dK3FLgXB8OmHmZl3mFxCvMbmH18nuo0Y4B5uLaWjijcid5n+1wb73PjJp2JnCZ7+LmZV7mFRqvMLuF1Stew7F2juBaUHsY+CmuJboriGoXAteexaMcoQlbvDYvfDho5mVe5hUSrzC7hdUrnsOxdlBTXG2vTG98DNVaT8M9zjyL68NwFPDDyp3r4wllXuZlXiHxCrNbWL3iOXxnOXlVLQQ245rOBMjFNac7VESyvDSlwGJcuxHzqGqASr9r3fXBvMzLvMLjFWa3sHrFk5pUhnoWyBGRduo6rF6Hq8rbDkBE+uE6z7hLVbup6gLfbM3LvMwrrF5hdgurV1yoSZBfCXyNdyVU1XeBwbg2nMF16jtCVW/wQ9C8zMu8GoRXmN3C6hUXEo+VQFU/F5EFwO9EpADXxVcJUNnF1m5/Fc3LvMwr7F5hdgurV9yoaeY9rpfxvwEbgCtj+WKgPoN5mZd5hccrzG5h9fJ7qFWzBiKS5K4LrqPcsGBetcO8aod51Z6wuoXVy0/q3HaNYRiGEX7i2serYRiGEV8syBuGYTRiLMgbhmE0YizIG4ZhNGIsyBuGYTRiLMgbhmE0YizIG4ZhNGIsyBuGYTRi/h/NX1aQovfL8AAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "surf_tilt = 32\n", - "surf_az = 90 \n", - "\n", - "iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi'])\n", - "iso_diffuse.plot(label='isotropic diffuse')\n", - "\n", - "klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['ghi'], \n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "klucher_diffuse.plot(label='klucher diffuse')\n", - "\n", - "dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear)\n", - "\n", - "haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['dni'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "haydavies_diffuse.plot(label='haydavies diffuse')\n", - "\n", - "king_diffuse = pvlib.irradiance.king(surf_tilt,irrad_data['dhi'], irrad_data['ghi'], ephem_data['azimuth'])\n", - "king_diffuse.plot(label='king diffuse')\n", - "\n", - "irrad_data['dhi'].plot()\n", - "\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Perez model" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This section walks through the Perez algorithm." - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "sun_zen = ephem_data['apparent_zenith']\n", - "sun_az = ephem_data['azimuth']\n", - "DNI = irrad_data['dni']\n", - "DHI = irrad_data['dhi']\n", - "DNI_ET = pvlib.irradiance.get_extra_radiation(times.dayofyear)\n", - "AM = pvlib.atmosphere.get_relative_airmass(sun_zen)\n", - "\n", - "surf_tilt = 32\n", - "surf_az = 180\n", - "\n", - "kappa = 1.041 #for sun_zen in radians\n", - "z = np.radians(sun_zen) # convert to radians\n", - "\n", - "#Dhfilter = DHI > 0\n", - "\n", - "# epsilon is the sky's clearness\n", - "eps = ( (DHI + DNI)/DHI + kappa*(z**3) ) / ( 1 + kappa*(z**3) )" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "ebin = eps.copy()\n", - "ebin[(eps<1.065)] = 1\n", - "ebin[(eps>=1.065) & (eps<1.23)] = 2\n", - "ebin[(eps>=1.23) & (eps<1.5)] = 3\n", - "ebin[(eps>=1.5) & (eps<1.95)] = 4\n", - "ebin[(eps>=1.95) & (eps<2.8)] = 5\n", - "ebin[(eps>=2.8) & (eps<4.5)] = 6\n", - "ebin[(eps>=4.5) & (eps<6.2)] = 7\n", - "ebin[eps>=6.2] = 8\n", - "\n", - "ebin.plot()\n", - "plt.ylim(0,9);" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "ebin = ebin - 1\n", - "ebin = ebin.dropna().astype(int)\n", - "ebin.plot();" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "modelt = 'allsitescomposite1990'\n", - "\n", - "F1c, F2c = pvlib.irradiance._get_perez_coefficients(modelt)\n", - "\n", - "F1 = F1c[ebin,0] + F1c[ebin,1]*delta[ebin.index] + F1c[ebin,2]*z[ebin.index]\n", - "F1[F1<0]=0;\n", - "F1=F1.astype(float)\n", - "\n", - "#F2= F2c[ebin,0] + F2c[ebin,1]*delta[ebinfilter] + F2c[ebin,2]*z[ebinfilter]\n", - "F2= F2c[ebin,0] + F2c[ebin,1]*delta[ebin.index] + F2c[ebin,2]*z[ebin.index]\n", - "F2[F2<0]=0\n", - "F2=F2.astype(float)\n", - "\n", - "F1.plot(label='F1')\n", - "F2.plot(label='F2')\n", - "plt.legend();" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "from pvlib import tools" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "A = tools.cosd(surf_tilt)*tools.cosd(sun_zen) + tools.sind(surf_tilt)*tools.sind(sun_zen)*tools.cosd(sun_az-surf_az) #removed +180 from azimuth modifier: Rob Andrews October 19th 2012\n", - "#A[A < 0] = 0\n", - "\n", - "B = tools.cosd(sun_zen);\n", - "#B[B < pvl_tools.cosd(85)] = pvl_tools.cosd(85)\n", - "\n", - "A.plot(label='A')\n", - "B.plot(label='B')\n", - "plt.legend();" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sky_diffuse = DHI*( 0.5* (1-F1)*(1+tools.cosd(surf_tilt))+F1 * A[ebin.index]/ B[ebin.index] + F2*tools.sind(surf_tilt))\n", - "sky_diffuse[sky_diffuse < 0] = 0\n", - "sky_diffuse[AM.isnull()] = 0\n", - "\n", - "sky_diffuse.plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Compare the Perez model to others." - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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6TbeYmBhiYmIICgoiODiYlJQU0tPTgbYyxa1JSUnB29ub/v37I0kS995776281Tb4+PiQmZnJ008/zdatW7GxsaG6upr9+/dz1113oVQqeeyxxygsLNTbnO1BRUMFy08sZ6pZKGY/b8amH1gEK6FvJ5AUMLXAKOoZnP2LUJ/J4JXCMJLLkonJjjG0ZTLdgK63kr+OFXd7YGtrS58+fdi3bx9+fpfKHZuYmLSJk1+Q5b2aJLCZmVnL4wsaQkIIXnrpJR577LE2fVUqVRuZ4j9zq5LCV7Lf3t6epKQktm3bxqeffsovv/zChx9+iJ2dXUuhka7A8hPLqVZXc3+cFskInP3OQvTH0FmKbYc9jHXcR1jmW2K0chcBf/fi08RPGecxDhOjrvffVKbzIK/krxNTU1PWrVvHihUr+Omnny553cvLi6NHdXHUo0ePkpWVBVyfJHBrJk6cyNdff92i9pifn8+5c1dXaB44cCBZWVlkZGQAulKEN4qXlxfHjh1Dq9WSm5vL4cOHASgpKUGr1TJ79mz+/e9/c/ToUWxsbPD29mb16tWA7ospKSnphufsKM7WnOXH5B95SBsBew/jEKhB0TcQ+o0ztGkXMbVEinwal4FZaKur+fsxN1SVKjZkbDC0ZTJdHHmJcANYWlqyceNGxo8fj6WlJba2ti2vzZ49mxUrVqBUKgkLC8PXV6d9cj2SwK2ZMGECycnJREREALparD/88APGxleOG5ubm7Ns2TKmTJmCo6MjI0aMaImhXy+RkZF4e3u31KkNDg4GdF8yDz74YMsq/5133gHgxx9/5IknnuDNN99ErVZzzz33EBgYeENzdhRfn/warVbD5K2lSPbW9OyTBlHvdp5V/AXC/opZ3AfYBfWELfsZ7t+fpUlLmeIzBVNjU0NbJ9NF0ZvUsL6QpYZl9PnzLqkrYeKaiTxaFUzUx3H0GmuN/UAtPHUYjDrhH7J/vIZ6+xIytvSmfsxQ7gs6xKvDXmXugLmGtkymk9PuUsMyMp2R7059h0arJnpzPgo3F+wcUiH8sc7p4AHCHkFhCfYRHpjFHCBa049vTn5Dk7bJ0JbJdFH09psuSZKdJElrJElKkSQpWZKkCEmSekqStF2SpPTmq/4qScvIXIPz9edZlbqKx84rEWeycIq0QrKwNWxe/LWw7Q2DZ+DgkoSRuTkPHbQgrzqP7dnbDW2ZTBdFn8uZj4CtQoiBQCCQDLwI7BBC9Ad2ND+XkekQfkj+gTp1LaN3lmHq4Y6N0X4Ivh/MrAxt2tUZ9iQmRpXYjxlMj72JhDe4s/zEcrkmrMxNoRcnL0mSDRAFLAcQQjQKIcqB6cAFxaXvgBn6mE9G5lrUqmtZmbKSBVWBiLQMHKJ6IxkJGNoFaqq6h0DvUHo6JyOZmvLX4w6knk9lb/5eQ1sm0wXR10reBygGvpEkKVGSpK8kSbIEXIQQhQDNV2c9zScjc1XWZ6ynqqGSSburMXF1xdbsIPQbD3b6K+nXroQ8gEltOnaTRmAbm8QgtRNfn/za0FbJdEH05eRNgGBgqRAiCKjhBkIzkiQ9KklSvCRJ8cXFxXoySeZ2RSu0/Jj8I1MqvDE6mYbDncORagp1oZqugt8sMLXCYUANAE8k9yahKIGUss6vESTTudCXk88D8oQQh5qfr0Hn9IskSXIFaL5e9lSPEGKZECJUCBHq5OSkJ5P0x5Wkhg05bnx8PM8884xe7WktUvb555+zYsUKQCeboFQqCQoKIiMjg48//phBgwYxf/58vc6vL+Ly41BVqrjriAnGjo7YOZ4BS2fwnWho064fMysYMgdFwRZsJ43HdcdJnBrN+Cn50oN4MjJXQy9OXghxFsiVJGlAc9NY4DSwHnigue0B4Hd9zCcDoaGhfPzxx+02/uOPP8799+tWvuvWrWP69OkkJibSt29fPvvsMzZv3syPP/7YbvPfCj+c/oEh1fZYxKdgP/tOjLJiQPkXMFYY2rQbI/gBaKrDIdIZUV/Pkxk+bMrcxPn684a2TKYLoc/smqeBHyVJOg4ogbeBxcB4SZLSgfHNz7skGo2GRx55BD8/PyZMmEBdXR0AX375JWFhYQQGBjJ79mxqa2upqqrC29sbtVpXyq2yshIvLy/UajUJCQkEBgYSERHBp59+2jK+SqVi5MiRBAcHExwczP79+wG4++672bx5c0u/BQsWsHbt2jaFQWpqanjooYcICwsjKCiI33/XfZeeOnWKoUOHolQqCQgIaBE6a80333yDr68v0dHR7Nu3r6X9gnTy5s2b+fDDD/nqq68YPXo0jz/+OJmZmUybNo0PPvjgihLLNTU1TJkyhcDAQPz9/Vm1ahUACQkJREdHExISwsSJE/UubHbm/BkOFB7gr2luSAoF9r5qEJquFaq5gFsQ9BqCWdFGLEeMwC8uH426gbXpaw1tmUwXQm+yBkKIY8Alp63Qrer1xruH39V7XHJgz4G8MPSFq/ZJT09n5cqVfPnll8ydO5e1a9dy7733MmvWLB555BEAXnnlFZYvX87TTz/NqFGj2LRpEzNmzODnn39m9uzZKBQKHnzwQZYsWUJ0dDQLFy5sGd/Z2Znt27djbm5Oeno68+bNIz4+nnvuuYdVq1YxefJkGhsb2bFjB0uXLuXQoUMt97711luMGTOGr7/+mvLycoYOHcq4ceP4/PPPefbZZ5k/fz6NjY1oNJo276mwsJBFixaRkJCAra0to0ePJigoqE2fyZMn8/jjj2NlZcVzzz0H6LTrd+3ahaOjI6+99tplP6+tW7fi5ubGpk2bAKioqECtVvP000/z+++/4+TkxKpVq3j55Zf5+mv9bSiuSl2FXYMCt92p2Nw5FZPMX8EzEhz66m2ODkOSIOg+2PI8Pe98jJq4OO4t8uXnlJ9Z4LdAFi6TuS466bG/zoe3t3eLxHBISEhLQZCTJ08ycuRIhgwZwo8//sipU6cA+Otf/8o333wD6FbLDz74IBUVFZSXlxMdHQ3QpoCIWq3mkUceYciQIdx1112cPn0agDvuuIOdO3fS0NDAli1biIqKokePHm1si4mJYfHixSiVSkaNGkV9fT05OTlERETw9ttv8+6775KdnX3JfYcOHWLUqFE4OTlhamp6WR36m2XIkCH88ccfvPDCC+zduxdbW1tSU1M5efIk48ePR6lU8uabb5KXl6e3Oeua6tiYuZFHc3wQ9fX0vGMolJ6BAP29rw7HbxZIxlj2OIPC04Pxh9UU1RaxK/f2qeYlc2t0uaXAtVbc7UVrWWBjY+OWcM2CBQtYt24dgYGBfPvtty2FRCIjI1GpVOzevRuNRoO/vz/l5eVXlAT+4IMPcHFxISkpCa1Wi7m5OaATHxs1ahTbtm1j1apVzJt36WlNIQRr165lwIABbdoHDRpEeHg4mzZtYuLEiXz11VeMGTOmTZ/2kij29fUlISGBzZs389JLLzFhwgRmzpyJn58fBw4cuKU5r8TWrK3UNlQRvPcsFkOHYl57BIwUMHhau8zXIVg5Qd/RSKfW0vMvz6N+5x1CoxxZm76W8Z7jDW2dTBdAXsnfIlVVVbi6uqJWqy/ZiLz//vuZN28eDz74IAB2dnbY2toSFxcH0KZ/RUUFrq6uGBkZ8f3337cJrVyoRrV3714mTrw0Q2TixIksWbKk5URkYmIioCtV6OPjwzPPPMO0adM4fvx4m/vCw8OJjY2ltLQUtVrdIh18I1xJYrmgoAALCwvuvfdennvuOY4ePcqAAQMoLi5ucfJqtbrlLx99sCZ9DZMKnTEqKsX+3r/AybXQfwL06OJqGkPmQkUutmG9MbKw4L7TDuzP309BdYGhLZPpAshO/hb597//TXh4OOPHj2fgwIFtXps/fz7nz59vs/r+5ptveOqpp4iIiGgTPnnyySf57rvvGDZsGGlpaW0KhEyYMIE9e/Ywbtw4TE0vlZx99dVXUavVBAQE4O/vz6uvvgrAqlWr8Pf3R6lUkpKS0pItcwFXV1dee+01IiIiGDduXIu88I0we/ZsysrKUCqVLF26tEVi+cSJEy2bvm+99RavvPIKpqamrFmzhhdeeIHAwECUSmXLBvOtklqWyvHi48w4ZYGJszPWPqZQVQhD5uhlfIMycAooLDDO2IDtzJm4HszEulaw7sw6Q1sm0wWQpYbbkTVr1vD777/z/fffG9qULsXN/LzfPvQ2sUdW89FnjTg89ijO3mfg5K/wXDqYWrSTpR3ImochYwf1d24ia9Ycds/yYW1wI1tnbcXY0DVqZToFstRwB/P000/z4osvtqyqZdqPuqY6NmZs5MFsTxACuxl3wunfYeDU7uHgAQLmQt15zI1zMQ8MYHh8LWerCzlQ2D77GzLdB9nJtxNLlizhzJkzLeELmfZjV84uahoqCThYjOWIEZjWpUB9RfcI1VzAZzSY2ULyeuzmzEGRc5aQEhvWpsk58zJXR3byMl2e9ZnrGZNvj1FxGXZz74Lk9WBuCz6jDG2a/jAxhQGTIGUTthMnYGRhwbw0R2LzYimvLze0dTKdGNnJy3RpSupKOFBwgJmnLTF2csR6ZCSkbgHfO7qejMG1GDQN6ssxKk7AZsoUPA7noKhTE5MdY2jLZDoxspOX6dJsztyMdZUGp2O52M2YiZR/COrLYdCdhjZN//QbCwpLOP07dnfNgfoGZmY5sjFzo6Etk+nEyE5epkuzIXMDc7JdQKvFdsZ0SN4AJj2g75hr39zVUPQA3wmQsglzv8GY+foy9qQRiecSya3KNbR1Mp0U2cl3Mby8vCgpKQFg+PDhLe0LFy7Ez8+PhQsXUlxcTHh4OEFBQezd232rCaWdTyOlLIWRJ7WY+/tj5u0NKZug/7juk1XzZwZNg5pipNyD2E6fjnV6Ib3KBJsyNxnaMplOiuzkO4CmpqZ2Gbf1QaIvvviCo0eP8t5777Fjxw4GDhxIYmIiI0eObJe5OwMbMzbiVWyEReZZbKdNg/x4qD6rc4Tdlf4TwMQcTq/HZuoUkCTuUbmyKXOTXANW5rLITv46UKlUDBw4kAceeICAgADmzJlDbW0tcGXp3FGjRvHPf/6T6OhoPvroo8v2KygoQKlUtvwzNjYmOzu7zdylpaVMmDCBoKAgHnvssTb/ka2sdAWpp02bRk1NDeHh4bz77rs8//zzbN68GaVSSV1dXUs/0B3QWrBgAQCrV6/G39+fwMBAoqKiAJ2k8sKFCwkLCyMgIIAvvvii3T7XW0ErtGzK2sQ92a5gbIzNlMm6rBojE50j7K6YWUHfsZCyCYWzM5YRwwhNqkVVkcWpUv1JRMh0H7qcQNnZt9+mIVm/UsNmgwbS65//vGqf1NRUli9fTmRkJA899BCfffYZzz777FWlc8vLy9m9ezdqtZro6OjL9jt27BgAn376Kbt378bT07PNvK+//jojRozgX//6F5s2bWLZsmWX2LZ+/XqsrKxaxnJxcSE+Pp5PPvnkqu/pjTfeYNu2bfTu3Zvycl0a3vLly7G1teXIkSM0NDQQGRnJhAkT8Pb2vr4Ps4NIKk6iuLqIgKNWWI0ciUnPnpC8EbyjoYedoc1rXwZMgtRNUHQKmzunUfPSS/gVmrExcyP+jvqvYCbTtelyTt5Q9OnTh8jISADuvfdePv74YyZNmtQinQu6VbCrq2vLPReke1tL7F6u3759+/jqq68uGz/fs2cPv/76KwBTpkzB3l5/YluRkZEsWLCAuXPnMmvWLEAnW3z8+HHWrFkD6ITT0tPTO52T36bahjLXBJPSCmynT4PiFDifBcOfbve5hRBUldZTUVJHbUUjAAozY2ydemDnYoGxSTv/gXzhL5W0rViPf4Kzr7/OnExHlvbdzvNhz2MkyX+gy1xEb05ekiQVUAVogCYhRKgkST2BVYAXoALmCiFuqXbZtVbc7cWfJXklSUIIcVXp3AsiY1frV1hYyMMPP9yyGr+euW/F9gtSwKCr43ro0CE2bdqEUqnk2LFjCCFYsmTJZdUuOwtaoSVGFcMzmQ4YWVViNXo0xH+ue7Gd6rgKISg8U0HqwUKyT5ZS0+zc/4yJqRFu/ezoF+pC32AnTM3bYR1l3UtXNSptG8ZRz2E9diwD9+yiNKKBpOIkgpyDrj2GzG2Dvr/yRwshlK1Ecl4Edvd5WNAAACAASURBVAgh+gM7mp93SXJyclqc9MqVKxkxYsR1S+deqZ9arWbu3Lm8++67V5Q/iIqKapEk3rJlC+fP3/h3pIuLC8nJyWi1Wn777beW9oyMDMLDw3njjTdwdHQkNzeXiRMnsnTp0pbShWlpadTU1NzwnO1J4rlEyqvO0T+pFOuJEzAyN4f07eDiD7buep1LCEHmsWJWvXWE3/57lLT4c7j2syPqHl9m/COIv7wWzvzXhzHnxVAmPOzHoEg3yovr2LkimRX/3E/8ZhWN9e2w8e47CfKOQE0JttPuxLiqlrBMY2JU8sEomba0d7hmOjCq+fF3QCxgmKoft8igQYP47rvveOyxx+jfvz9PPPFEi3TuM888Q0VFBU1NTfz973/Hz8+vzb1X6ldSUsKRI0dYtGgRixYtAmDz5s24ubm13Lto0SLmzZtHcHAw0dHReHh43LDtixcvZurUqfTp0wd/f3+qq6sBXdpleno6QgjGjh1LYGAgAQEBqFQqgoODEULg5OTEunWdS9I2RhVDmMoEo7oGbCZPhrpyyDkAkc/qdZ7yc7XE/pBCflo5ts49GHP/QPoGO19xde7iZUP/MBfEXN2qP3F7DofWZ3IiNo+oeb70DXLWn3G+kyD2HUiPwXL4XRjb2TFVZcbH2TEsDFsoh2xkWtCb1LAkSVnAeUAAXwghlkmSVC6EsGvV57wQ4qpB5c4oNaxSqZg6dSonT540mA23E1f7eWu0GsavGc8/1sOAM3X0j9uLlLoBVi+Ah7aBxzC92HBqbz5xv6RjZCwRMasfgyNdMTK+ccd5NquC3T+lUpJbTf8wF0bNH6CfEI4Q8L9B0GcozF1B4auvUrZxPfc9peHraT+gdFbe+hwyXYqOkBqOFEIEA3cAT0mSFHUDxj0qSVK8JEnxxcXFejRJpruReC6R8spz+JwsxXrCBCQTE0iLAXM76H25OvI3RpNaw67vk4n9MRXX/nbMWzQM/6jeN+XgAXp52zLnxVDCp3lzJr6Itf9JoLyo9pbtRJJ0G7BndkJTI9aTJmFU10iIyljWspFpg96cvBCioPl6DvgNGAoUSZLkCtB8PXeFe5cJIUKFEKFOTk76MklveHl5yav4TkJMdgxDVSYY1Tdic8ck0GrhzHboNw6Mb22F3FjfxMYlSZzeV0jIJE+m/i0QK3uza994DYyNjQid7M2dzyqprWxk7XsJnMuuvOVx8Z0EjVWQsx/L8PDmkI0927O3oxXaa98vc1ugFycvSZKlJEnWFx4DE4CTwHrggeZuDwC/62M+mdsTIQS7cncxWWWHcc+eWISFQWEi1BTfclZNfY2a3z88RsGZCsY9OJhhM/piZHRrWU1/ps/Ansx+PgSFmTHrPkgkP/WWEs10UsrGZpAWg2RigvX4cfQ7dZ7S8kJOlJzQh8ky3QB9reRdgDhJkpKAw8AmIcRWYDEwXpKkdGB883MZmZsiuSyZsvJC+p48j/WE8RdDNUi6lfxN0ljfxIaPj1GSV8WkR/0ZEN5Lf0b/CTtnC2Y9F4KVvTkbPzvO2cyKmx/M1AI8h0PGDoCLIZssI3bm7NSTxTJdHb04eSFEphAisPmfnxDireb2UiHEWCFE/+ZrmT7mk7k92ZW7i+BMSReqmTRJ15i+DdzDwKLnTY2pUWvZ8vkJinOruePRIfgo2z9caGVvxvS/K7GwMWXjJ0mU5lff/GD9xuoOglXktYRs7lDZEpsbqzd7Zbo28olXmS7Drpxd/CXTBmMHCYvQUKgpgYJEGP3KTY0nhGDHd6fJSznP2AWD8ApwvOY9DU0aElTnOV1YyZlz1VTWq2lsEthbKHC2MWNIb1uCPe1xtja/6jiWtmZMf1bJr+8lsGFJEne9FIql7U3E//uOBV6BjJ1IwfdjPX4cvhvWkzv6PNmV2XjaeF5zCJnujezkb4LXXnsNKysrNm7cyPvvv09oaNusjvj4eFasWMHHH39sIAu7H/nV+WQWp+CbYoT19Fm6UE1yrO7FfjenHZ8Yk0N6/DmGzfBh4DDXK/YTQnA4q4zvD2azK+UcNY0aABytTLHtoUBhbMSpAjXFVQ00aXUpyWFe9swMcmdWcG/MFcaXHdfGsQdTnw5k7X8S2PrFCWb8IxhjxQ3+ce08CKxdIWMnBN+P9aRJlK9egzLLiNjcWB7we+DaY8h0a2Qn3w6EhoZe4vhlbo3Y3Fj8VQLjejXW48bqGjN26VInXW88JzznVCkH1mXQL8SZ4IlXXu3uzyhh8ZYUjudVYGehYHpQb8YOdCbIw56elqZt+tarNZwurCQuvYQNSQX887cT/G97Ko9G+bBguDeml9G0cXS3ZuwDg9n25Ul2r0xlzP03eB5EknQFUlI2gVaD5dChGNnYMFYlsT13l+zkZWSp4evlrbfeYsCAAYwbN47U1NSW9tWrVzN06FB8fX1bBMZiY2OZOnWqoUztluzK2cWYbGuMLC2xCA/XHQbK3AU+0WB0+ZXylagqqydm+Skc3KwYc/+gy2oDlVQ38Pj3Cfzly0OUVjfyzqwhHHhxLG/PHMLYQS6XOHgAc4UxwR72PDO2PzH/iOLnR4cxyNWGtzenMOmjPezPKLmsPf1CnAmd7EXy/kJSDxbe0HsBdE6+vhwKEpEUCqyio/FPbSDp7FG5yLdM11vJ7/0ljZLcW9iougyOfawYOffy2jGg04z/+eefSUxMpKmpieDgYEJCQgBdQZDDhw+zefNmXn/9df744w+92iYDFQ0VJJw9wt9SjbGMisbI1BSK06AyH3wW3tBYWq3gj29Oo9UIJj3mj8Ls0i+IP04X8cLa41Q1NLFw4gAeHuF9xZDLlZAkiWE+DgzzcWBX6jleW3+K+V8d4vHovvy/8b4o/nS4KmyqNwXp5exemYaLjy12zjdQ2cpnNCDBmR3gHor12LFUbthA/1xj9ubv5c6+3bDercx1I6/kr4O9e/cyc+ZMLCwssLGxYdq0i5WHLkj0hoSEoFKpDGRh9yYuPw7vPA1mFXVYj2kO1WTu0l37jr6hsRJjsilILyfqHt9LHKkQgo/+SOevK+JxsTFnw99G8NTofjfs4P/M6AHObHl2JHeH9mFpbAbzlh2krKatiqWRkcS4BwdjZCyxffkpNE03cJjJ0gHclLq4PGA5YgSSQkFUpjm7cnfdku0yXZ8ut5K/2oq7PbmS3K+ZmS4jwtjYuN3K/N3u7M7dTVSWGZg0YhXdrJaRsQvsvcHe67rHKc6p4vD6LPoGOzNgWNtc+MYmLf+3OokNSQXMCurN27OG3LJzb42FqQmLZwcQ0deBhWuOM+uzfXz74FC8HC1b+lj3NGfMfYPY8sUJEraoGHqnz/VP0HcsxH0A9RUYW9liETGM8OREvs+Lo1HTiKnxpeElmdsDeSV/HURFRfHbb79RV1dHVVUVGzZsMLRJtw0arYb9hfsZdsYYy6FhGNvYgEYNqrgbWsVrNFp2fp+MubWCUfMHtNXYV2t44ocENiQV8PykAfx3bqBeHXxrpit7s/KRcCrq1Mxeup/Us1VtXvcJcsI33IWErdk3lj/fbywIDWTuBsB6zFisiqtxOFtLQlGCPt+CTBdDdvLXQXBwMHfffTdKpZLZs2d36+LYnY2TpSexKCjH9mwVVhdCNXnxOs0Wn1HXPU7SjlxKcquJuscXc0tFS3u9WsOj3yewI+Ucb87w58lR/W65SMu1CPHsydonhmNiLPGXLw+SXtTW0Y+4qz9mFibsXJGMVnudKrHuYWBqBZmxALpCKkB4usS+/H36NF+miyE7+evk5ZdfJjU1lZiYGL7++muee+45YmNjW1IlHR0dW2Lyo0aNYuPGjQa0tvsQlx/H0HTdY+sxzSv3zF0gGYH39QmdVhTXcWRDFt6Bjm003TVawTMrE9mbXsy7s4dw77COOzjk42TFT48Mw8hIYt6Xh8gpvahM2cPKlJF3+3Iuu4rjO3Ovb0BjhU7iIGsPAAoXZ8wDAojKMmdfgezkb2dkJy/TqdmXv4+oLHPMBg9CcaGYSsYuXfm7HteudyuEYPfKVCRjiah7BrRpf33DKWJOF/HqlMHcHXbjxVhulb5OVqx8JBy1RsuCbw9TXntxM7ZfiDNeQxw4vCGLmoqG6xvQOwpK06GyAADrMWPolVNNaW46Z2vOtsdbkOkCyE5eptNSVl9Gds4J3LNrLmbV1FdAfkJz2uC1yUoqIfd0GcOm+7SRDf5qbxYrDmTzyEhvHhphuCLl/ZytWXZfCHlldTz2fQINTbrTtJIkEXlXfzQaLQd+zbi+wbyjddcs3XkN67G6k8AhZwRx+XF6t12mayA7eZlOy4GCAwRmapEEWEW3cmBCc12brhq1ln1rz2Dvaol/VO+W9n1nSnhnSzKTh/TipTsMV3HsAuE+Drx3VwCHssp4bf3plnY7ZwuCxnmQeugshRnXoVbp4q/766Y5ZGParx8mbm4MyzaV4/K3MV3GyeurTKFM56b1zzkuP46hKgXGDg6Y+w3WNWbtAZMe4D70mmMd35VHZXEdI+b0a6nslF9ex9MrE+nrZMV7cwL1rhl/s0xX9ubx6L6sPJzDr0fzWtqDJ3liaWfGnp9Tr70Ja2QEXiMhazcIgSRJWEWNZFBmE/G5B1Br1e38LmQ6I13CyZubm1NaWio7+m6OEILS0lLMzc3RCi0H8vYRmKnFasQIJKPmX1VVHHiEg8nV875rKxuJ35yF5xAHPPwcAF0u/JM/HqWxScvn94Vgada5jok8N8GXcO+e/PO3E6Sc1VWOMjU3YfjsvpTkVpN26Dri6t5RUJEL57MAsIqKRtHQhHtWFceLj7en+TKdlM71W34F3N3dycvLQ67/2v0xNzfH3d2d5NJkemaWYV6juXgAqqYEzp0C/1evOc7hjVk0NWqJnN2vpe2jHWkk5ZazdH4wfZ2s2ust3DQmxkYs+UsQUz6O428/JbLx6RGYK4zpH+LCse25HNqQSf9Ql6srVbbE5fdATx8sh4WDQkFwppZ9+fsIcQnpmDcj02nQq5OXJMkYiAfyhRBTJUnqCawCvAAVMFcIccM1zxQKBd7ehtsck+l4DhQeIChTC0ZGWA4frmvMbo4rXyN1sqK4luS4AgaPdMO+l+5E6RFVGUtjM5gb6s4dQ64sK2xonK3N+d/cQO5bfpj3tqXy6tTBSEYSETP7sv6jY5zck0/g2D5XHsCxv056OGsPhCzAyMICy7AwhmUcZUl+HM8EP9Nxb0amU6DvcM2zQHKr5y8CO4QQ/YEdzc9lZK7JwcKDRKjM6KFUYmxnp2vM2gsKS1365FU4vDELyVgidLIXAFX1av6x6hju9hb8606/drb81hnZ34n7IzxZHpfVolzZZ1BP3AfaE79FRWPdVeQzJEn3JZi1R6fUCVhGjcSxqJ7SzGRZlfI2RG9OXpIkd2AK8FWr5unAd82PvwNm6Gs+me5Lg6aBzMxEeufXYxXV6nSxKg48hukO/lyBsoIa0g4XMWSUe0ulpbc3p1BQXscHdwdi1cni8FfixTsG4u1oycLVx6mq122YRszsS321msQ/cq5+s3eUrrh5cQqgi8sDBGZqOVJ0pF3tlul86HMl/yHwPNBaPs9FCFEI0Hx1vtyNMjKtOXbuGIPT6wGwimoOzVQXQ3EyeI246r2HN2SiMDMmeKLucNMRVRkrD+fwUKQ3IZ43VwfWEFiYmvDfuYEUVNTx/jZd/QJnTxv6BjuT9Ecu9dVXyZS5EM66kErp7YWJe29CM404VHionS2X6WzoxclLkjQVOCeEuCklJEmSHpUkKV6SpHh5c1XmUOEhgjLByNEBs0HNeezZzYd5rhKPL86pIiOxmMCxfehhZUpjk5Z//nqC3nY9+Md4w6iX3grBHvbcP8yTFQezScrVhVnCpnihbtCQdDW5AzsPnTpns1iZJElYR0Xhn60lIedAB1gu05nQ10o+EpgmSZIK+BkYI0nSD0CRJEmuAM3Xc5e7WQixTAgRKoQIdXJy0pNJMl2Vw3kHCVJJWEdFXxQLy9qrE+ByDbziffGbVZj2MEHZvDH5xe4M0s9V8+8Zfp0uXfJ6+b+JA3CyMuOfv52gSaPFobcVPkFOHN+VR8PVYvPeUbovRq3uBK1lVBSKRi09TqsoqinqIOtlOgN6cfJCiJeEEO5CCC/gHmCnEOJeYD1wocjkA8Dv+phPpvtS1VhFw8kT9KjTYDWyVWhGtRc8Iq4Yjy8rrCHzWDFDRvXGzEKBqqSGJbvOMGWIK2MGunSQ9frHxlzBojv9OFVQyXcHsgEIvcOLxromTuzKu/KNniN0EhDndCdoLcPDwVSBMlNw+OzhjjBdppPQ3oehFgPjJUlKB8Y3P5eRuSLxZ+Pxy9IiJAmLYcN0jVVFUJJ21Xh84rZsTBRGBI7RreLf3pyMwkjiX3cO7giz25XJQ3oxaoATH25Po6S6AScPazyHOJC0I5fG+ius5j2b005VurRTox49sAgORpltxMHCgx1kuUxnQO9OXggRK4SY2vy4VAgxVgjRv/lapu/5ZLoXh84eIlAF5oMHY2LfrDKp0glu4X15Hf/K0jrSDhcxeIQbPaxN2X+mhJjTRTw5uh8uNuYdY3g7IkkSr04dTJ1awwfb0wDdar6+Rs3JPfmXv8mujy42n31RmMxyeCR9ijQknzkgnx6/jegSsgYytw+JqgP0zxdYXTgABbrUSTMb6HX5ePyx7bpNSOV4DzRawRsbT9PbrgcPG1BdUt/0dbLi3mGerDycQ1pRFb18bHEfaM/xHblXrgfrOQKy91/Ml4+IAMD5dBE5VddIw5TpNshOXqbTUFpXitmJMxhrBZbDIy6+0BKPv3TztLaykdP7CvAd1gvrnuasjs8l5WwVL00e2G4l/AzFs2P7Y2VmwpubdOcNleM8qKlo5Ez8FTZSPYdDbSkU61IwzQcPAhsrAlRCTqW8jZCdvEyn4ei5owSoBMJUQY/gYF1jZSGUnrliqObE7jw0TVqCJ3hQ09DE+zFphHraM6UTSxfcLPaWpjwztj970orZlXoOD7+e2LtakvhH7uXDL16RumtzyEYyNsY6YjhKlcRh2cnfNshOXqbTcLToKAEqCYvQUIzMmgt8XNCrucyma5Naw6k9+Xj5O2Dfy5Jv96soqW7gn1MGtXudVkNxf4QXng4W/GdrKkKAclwfSvOqyUu9jCSUvTdYu7VsvgJYRgzHvlJL3ukjclz+NkF28jKdhtT0g/Qp1mJ92Xh8wCX904+co65KTcDYPlTUqflidwbjBjkT7HHtsoBdFVMTI/4xzpfkwko2nyzEd6gLPawVLfsSbZAkXcimdVy+OQzmnlJKXtVVUjBlug2yk5fpFFQ3VtMjSVex2yKiVTw+5wD0GQpGbePrQgiSdubS080S9wH2fLknk8r6Jv7f+AF0d+4MdKO/sxX/254GRhJDRrmTc6qUsoKaSzt7RUL1WSjLBMDUwwPcXAjIEiScu6kD6jJdDNnJy3QKjhUfwz9Li9bGEvMLUga1ZTqRLY+IS/oXpJdTmldN4Jg+lNY08vW+LKYGuDLYzaaDLe94jI0k/m+CL5nFNaw7VoB/dG9MFEYk7bhMxoxnc1xedTGV0jZyJH45kFgQ30EWyxgS2cnLdAoSzsYzRCWwGhZxsQpUTvOhHc/hl/RP2pGLuaUC36EuLI3NoF6t6ZL6NDfLRL9e+Pe24cM/0jA2N8F3qAtph4toqP2TcJmjL1g66UI2zVgNH45Fg6A4UT4UdTsgO3mZToHqxH4cqsBmRKssmpz9YGwKbsFt+lYU15F1vAS/KDfKGtR8fzCbWcHunbLaU3shSRL/N2EAeefrWHs0D/9od5rUWlIOnP1zx+a4/MXNV4thwxASOJ0qpKSupIMtl+loZCcvY3AaNA2YJuq0zy1bx+OzD0DvEFC0PbV6am8+kiThH+XO8rgsmjRanhrdj9uNUb5OBLjb8vnuDOx7W+LibcPJPfmXZs14RjbXfdVp35jY20M/L/xVgoQiOS7f3ZGdvIzBOVF8ggHZTWic7FG4u+saG2ug8Ngl8XiNWkvKgUK8AxzRmBnx48EcpgS44e1oaQDLDYskSTw5qh/ZpbVsOlHIkOjelBfVkpfyp3TKC3H5ViEbu+Ej8S0QHMuVi4h0d2QnL2NwjhYlMDhHYBU+7GJ+e148aJsuicdnHiumrkqN30g3VhxQUd3QxJOj+na80Z2ECYNd6OdsxWe7MvAOcsLcSsHJ3X/Ss3EeDOZ2bXRsrMOHYdoExUf3I9O9kZ28jMFRJcVhWwt2w1o59JwDgATuYW36ntqbj42jOQ59bfh6XxZjBjozyLX7Z9RcCSMjiSdH9SW1qIo9GaUMjnQlK6mY6vP1rTvpvixbHYqyCAlBSGB1MpuqxioDWC7TUchOXsagaIUWcewUABZDh158IXs/uPhDD7uWpvNna8hPK2fwCDd+js/jfK2ap0bfvqv4C9wZ6Ia7fQ8+2XWGwSPcEMCpvQVtO3lGwvksqNS1G9vaounrweAcwYmSEx1vtEyHITt5GYOSVZFFv6x61A42KProtODRqCHvCHi2jcefiivAyEii71AXvtyTSbh3zy5Vt7W9UBgb8Vh0X47llnO6sg6PwT1JOVCIVttqA/bCZ9mq/J9d+HB88wUnCo52sMUyHYns5GUMyvFzSQzOEZiFBl+MxxceB3Vtm03XJrVGt+GqdGSnqpSzlfU8cRvH4v/MXSHu9LQ0ZXlcFoOGu1F9voHc5FblG3oFgMLi4tkDwC4iErMmOJcgx+W7M/oq5G0uSdJhSZKSJEk6JUnS683tPSVJ2i5JUnrztfuKisjcFJkn4rCrAafhoy425jQ7nVabrhlHi2moaWLwCDeWx2XRz9mKaF+5HvAFzBXGzA/3YEdKEVLvHphbKkje1ypkY6zQ7W+0Wsn3CAnRvZSUIouVdWP0tZJvAMYIIQIBJTBJkqRhwIvADiFEf2BH83MZmRYaExIBsGwTjz/QrKDYq6UpeX8hNo7mFJrDqYJKHor07rZKkzfLfcM8MTGS+P5wDgPCe5GVVEJdVePFDh4RcPakrvYrunz5eq9e+GTWy0VEujH6KuQthBDVzU8Vzf8EMB34rrn9O2CGPuaT6R7UqGtwTCmiwd4SUy8vXaNWq1tttlrFV5bWkZ96noERrny9Lws7CwUzg3obxuhOjLONOXcGuvFLfC59Qp3QagRph1sVFPGMAAS0yo3vERbKgHzB8cLEjjdYpkPQW0xekiRjSZKOAeeA7UKIQ4CLEKIQoPnqfIV7H5UkKV6SpPji4mJ9mSTTyTlZfILBOQKUfhdX5SVpUFfWJh6fdkh3VN96gC0xp4v4y1APeph2r6pP+uLhEd7UNmrYlleKs6c1p/cVXAzF9A4FyfhiOAzoFTkWczXkHtllIItl2hu9OXkhhEYIoQTcgaGSJPnfwL3LhBChQohQJyc5znq7kHZiDz2rwTly9MXGP8XjhRAkHzhL7wF2rE45i7EkcX+EV8cb20Xwc7NlmE9PvtufzYAIV8oKajinas6DN7MC14A2m69WzWEyTUKSIcyV6QD0nl0jhCgHYoFJQJEkSa4Azddz+p5PputSdUjnbByGR11szD4Als7Q0weAwowKKovr8ApxZtWRXKYEuNLL1vxyw8k081CkN/nldWRbgonCiNP7W23AegyH/ARoagDApGdPqt3tcUo9R11TnYEslmlP9JVd4yRJkl3z4x7AOCAFWA880NztAeB3fcwn0/URQtDjVBb11maYentffCHngC523By+STlQiImZMUk0Ut3QxIOR3lcYUeYCYwe50KdnD35MzMUn2Ikz8edoUmt0L3oMg6Z6KDjW0t8oaAj98wSnz500kMUy7Ym+VvKuwC5Jko4DR9DF5DcCi4HxkiSlA+Obn8vIkFedh1d2PQ2DW2XJlOfq1BI9dKEadaOGMwnn6BfsxE8JeQzpbYuyj91VRpUBXVGReUM9OJhZhrWvLY11TWSfLNW96HHpoahew0Zh0QhnEnYYwFqZ9kZf2TXHhRBBQogAIYS/EOKN5vZSIcRYIUT/5mvZtcaSuT04nbqPXuVgGxZ+sfGC42k+nZmZWIy6XoPkZUlqURXzwz063tAuytzQPiiMJbaVlNPDxvRilo2VEzj0a+PkncJ14bLK+MOGMFWmnZFPvMoYhHOH9wLQe/i4i43Z+3VFu110e/YpBwqxdjBnQ2EZ1mYmTFO6GcLULomjlRl3+LuyNjEfn2AnVCdKqK9prhrlEaHbfNVqAVD0dqPGzgzz5GwDWizTXshOXsYgiOPJNJlIWPkHXGzMOdhStLumvIG81PN4BDux6eRZZgX3xsLUxHAGd0HuHeZJZX0T+bZGaJsEGUeb8x48IqC+HEpSAZ0uff0gLzyyazlff/4qI8p0RWQnL9PhaIWWnunnKPd2xMjUVNdYWwbFybqNQeBMwjkQkGqqobFJy1/CPQ1ocdckzMseXxcrVp05i52LxcWQTfNn3LqIiGVwCM4VkJyy7zIjyXRlZCcv0+Fkn0vHs1CDFDDoYuOF3O3mTde0I0U4uluxMqWQMC97BvSyNoClXRtJkpgf7snx/EpsB9pSkF5OZWmdLj3VyqVNvnyfERMAKDoYayBrZdoL2cnLdDiZh7ZjogXHoSMuNl4o2t07hIriWs6pKlF4W6EqrWW+vIq/aWYG98bC1JgDTboiIulHinTpqR7D2my+OvgH06CQUCfJaZTdDdnJy3Q4lfGHAPAaMfFiY/YBcAsGhTnpR3Sx4931NdhbKJjk3+tyw8hcBzbmCqYMcWVdehHOPjakHirSyRx4DNelq5bnAiApFJR622ObWmhgi2X0jezkZTock1MZlDiZYe7QLGV0oWh3c+pkenwRTl42bM4sZmaQO+YKWafmVrgrtA81jRrqXc05X1hDaX71xbh87qGWftohA+hd2EhZWcEVRpLpishOXub/t3fm4XGcZYL/vX1IsmRZkm3Jkmz5kCzbyfIYXwAAHBNJREFUkWNbvhLnDnbsQIAkk5AhMEdmZ5awEJ4NszCQ7C4sZIaZzMISZudhGMKZGSAMMwMJC+EIgQkJTkhMfMRnbOu2ZUmWbd1Hq/vdP6pkdxTbkeyqrpL8/p6n1V1fVVf9VFX91ldffUdGSSZHKK07Rc+yeWcSRwftnn81nUd6OXG0j66SOImk8q618869MmNcrF9YxMJZufysqxsR96H2nMshK/91D19nrr+KqMKhrT8N0NbwGgvyRkZp2vMi0weU7Nr0qpPuoN0VV/Day21IRHjqVBfLy2dQU37pDtLtFSLCXesqeL7lJLMqZ3Dod+1oJAoV61/38LXq2lsAOLHNRoqaSliQNzJKy9anASi/auOZRHfQbs0p4NC2NgoX5rO9vYe7LBfvGXesmUtEoHVGhK72AbfI5ipo3wsDTt34wtlzaS2JE3n1QMC2hpdYkDcySv/OnfTmQNUqt+fJtEG72xq66T4+SPN0iEeFW2ttYBCvKCuYxnXVxTzRcRKJCIe2tbv92Cg0n+nOoGtJKTPrTthwgFMIC/JGRsk50MyxBflkRd1GUGmDdh9+pYNIVPhBx0luumwOM/OygpWdYvz+ugoaegfJm5fnFNmUr4FI/HXl8rHLLyNvIMWJg1aVcqpgQd7IGMm+Pma39jO4pOJMoltXWys2ULe9nZx5eRwbGOaudVZU4zU31ZRQmBvnYHaSro4BjrenoLz2deXys9c4NZyafvvLoDQNj7Egb2SMtu0vEFHIWbHiTGLTC1C0kONd+XQfH2RfdITi/Gyur7YRwrwmOxbl9tq5/LDzFBJxa9nM3wBHX4GE01iqsvZ6BuPQveN3AdsaXmFB3sgYrS//GoCy9dc5CapOkJ9/NYdfaUci8OMTp7hj9VxiUTs1/eD3Vs+lO5UiVjbNKbKpuBqSw06gB0ryy2gqjxPZXxewqeEV9ksyMsbArl20F0B15Ton4fhB6O9EKzZweHsHkZIc+lDuWGNFNX6xcl4Bi2bnsTeapLtjgOMR967KLTYTEbqqiilsPIEODwdoaniFV8P/VYjIr0Rkn4jsEZH73fSZIvK0iBx034u82J4xOcl+rYmWimkUZBc4CW5gOZGzjlNt/eyNjrCsNN86I/MREeG22nJ+1tXlFNnsG4bZS51uJUapWUJsROnfvy84UcMzvMrJjwAfUdXLgA3AfSJSAzwAPKOq1cAz7rRxCTJy/DjTOwfor06rFtn0IuTOoq5hGgg809NjA4NkgNtr5zIgQHEO9Ts6nO4kml+ClDMObNHq9QC0vvxcgJaGV3g1/F+rqr7ifu4B9gFzgduAx9zFHgNu92J7xuSjd6czcHTWiuVnEpu2OlUntx+HWdn0ReDWVRbk/Wbh7DxWVRTyKsOcPNbPyfxrYagL2p2ce9XSKzmVCye323CAUwHPy+RFZCGwGvgtMEdVW8G5EAAl5/jOvSKyTUS2dXR0eK1khIDWbc+RFJiz2u0Yq7sVTjZwqvAGOo/08qoMs35hEfOKcoMVvUS4vbac5wf6Aag/Ve0kusVnVUWLOVwuyN6DQekZHuJpkBeR6cC/Ax9W1e7xfk9VH1XVdaq6rrjYqs5NRfp37qC5GJaUuX3WuAHlcJeTs//N0IC1cM0g71hZTn8MkoVx6g6MQH756UZR2dFsOhfNJO/oKZI9PQGbGheLZ0FeROI4Af7bqvp9N7lNRMrc+WVAu1fbMyYPqkp8fwN15VHmz5jvJDa9CPFc6uuzSBbGGYjB21eUBSt6CVGcn821i2ezmwRt9d30lW50LrxudwZasxiAwd3W8nWy41XtGgG+BuxT1c+nzfohcI/7+R7gSS+2Z0wuEo2NxPuH6akuJRZxB+Nu2kpfyfW0NfSwmwTXVc+2bgwyzO2ry3kl6TSCqk9eDz1OERpA4aq1AJx65eWg9AyP8Confw3wR8BGEdnhvm4BHgY2i8hBYLM7bVxiDOzZA0C8xh3TdbAL2vbQKJsB2J4c5DYrqsk4W2pK6ckSRnKj1Le7+98tRqucv4pjhXBy17YADQ0viHmxElV9HpBzzN7kxTaMyUvXru0kolBcs9pJaH4ZNEX9qUpGciL0ZkfYXDMnWMlLkLzsGG9ZVsL+XafIqk8xPLeUrMatUPteqgur+UmpULTfHr5OdqzFq+E73a/uoKkYqmYvdRKaXiDBNFoaI7wWHWFjTQl52Z7kN4wJcsvKMnbpMKmk0ph75+mcfGleKS3lWWS3nSLZ1RWwpXExWJA3fEVV0YN11JcKVYVVTmLTi7Tk3spIIsVuEvbANUA2LSuhMxtSWUL9wDroPAS97YgIw4ud7iUG91nL18mMBXnDV0aOHiXWM8CR8mzm5M6BkSE4so2G5LWkokLHNLhxqVWbDYq87Bg3LivhUDxF47FCkho9nZvPvsx5hjK414L8ZMaCvOErA3v3AjBSPR8RgdadaGKIho5yGrNS3LCshNwsK6oJkltWlrFHhxkegtZk7el+bOZV1HA8H3p27wjY0LgYLMgbvjK4dy/JCOQtrXESGrfSnlhMf3+EvZLgbVZUEziblpVwbBqoQGP8rU53E0BVYRX1pUKf1ZWf1FiQN3yld8+rHJkFC0uWOAlNL1If2YIKNOcoG5edtacLI4PkZce4dlkJrVlKQ28NHHsVBrupLKikfo4gza2k+vuD1jQuEAvyhq8M7tlD/RyhsqASUiloeoGGoXW0ZykblhUz3WrVhIJbVpaxL5LgVE8uXYliaH6J8unlHJmbjagyuP9A0IrGBWJB3vCNRHs70nmKulKhsrASjh+guzdOZ08he2WEW1aUBq1ouGxaVkJLjtOlQePwemjaSkQiaPUCwCl2MyYnFuQN3xhyq94dLcumPM/pAKtpeA0ATTkpNl1mDaDCQl52jNU1xXTFlAZuOP3wtXj+MnryIhbkJzEW5A3fGK1fLUsWEY1EoelFGkc20BtTLl86ixk58YANjXS21JRyMJrkSO8iEs27YWSIyqIqDpco/Xvt4etkxYK84RuDe/bSPivG3FKnv/Jk48u0DC7nYCRptWpCyMZlJdRnpUilorQMLIUjr1BVUEV9KQwfPEzKxnydlFiQN3xj4PAhGmYlqSqogq4WWjvyGEnFacxKcZMV1YSOorwsyqsKGIkoDUNroWkrVYVVNJYIkkwy3NAQtKJxAViQN3xBUykSLS20FeI8dG16kabh1ShKceUMiqxb4VCyeUUpddEUjYkr0YYXmDt9Lh3FzrEarqsP2M64ECzIG74w0tGBDCc4ViROTr5xK03Da2mOJdlotWpCy+aaORyOJekbKaSz7ihRIGdRJQDD9XXByhkXhAV5wxcSzc0AdBbFmJc/j77De+hMLKA+plarJsTMK8olXuGMs9vQswza9lBRvJhT+VGGm5oDtjMuBK9Ghvq6iLSLyO60tJki8rSIHHTfi7zYljE5GA0I8Yp5xIZ6aDqSB8DInGwWzc4LUs14E25cWUZndIimoTXQ9AJVhVUcK0gy2NwUtJpxAXiVk/8m8NYxaQ8Az6hqNfCMO21cIiRamkkJzFy4FJpfomm4lmEZ5opVlosPO1uWz+FALMKxxDIGD22jqqCK9gJhsLkxaDXjAvAkyKvqr4ETY5JvAx5zPz8G3O7FtozJwUBjA8dnwMJZi0nVb6V5qJZDcWXzcgvyYWdZaT59s+IoEZpf66WyYBFthUBHJ2rVKCcdfpbJz1HVVgD33XqiuoToazhMe6HTnUH73nqGdDpteXFqK6zULuyICGtXzyElwzR1V1KRGKGzKIqklERra9B6xgQJxYNXEblXRLaJyLaOjo6gdQwPSLYcpa0QqqaV0XgkF0hRuWIW0ci5hgI2wsSW5aUcjQ3ROLSGaPNLROeWAzDc0hKwmTFR/AzybSJSBuC+t59rQVV9VFXXqeq64mIbJWiyk+ztI9rVS1tRhAXdbTQN1dIT62PjSmvlOllYu6CIw7nTGEgVcfzVfeQvXAxAouVIwGbGRPEzyP8QuMf9fA/wpI/bMkJEosWpWZMsn03y4O9oTyzmtawY11XPDtjMGC+xaIQFK5zj1XBomNKFNYxEoL/JGkRNNryqQvk48AKwVERaROTPgIeBzSJyENjsThuXAMNNTlW7nPkLad7TDkTIXTSTPOs7flKxqbaMkegJmk4tpGpaCR0F0F3/WtBaxgTx5Fenqu85x6xNXqzfmFwMNjYAMHNhNY07h0EG2bCuMlgpY8JcV13ML7JGiA8soeZ4AzsLhKIWaxA12QjFg1djanGy/gA9OVCRnUXz0Eo64z3cVGNdGUw28rJjJCorUKKwt4uOogiRo1YxYrJhQd7wnP6GOtqKYE7jgPPgbnYRpQU5QWsZF8AV6+YRlT6aDguJOUVk9Q6S7O0LWsuYABbkDc/RI620FQojB5MALF47P2Aj40LZvHwOw/F2jvRUEi9z7sYSVmQzqbAgb3iKjoyQ3dFNb3EebR0lSPQ4N60uD1rLuEBKZuRwclYuA6kCcnOdi3XfYXv4OpmwIG94SqKlhUhKiRSX0ja8hK7cIS4ryw9ay7gIitevBFJk9RSTAjr27QhayZgAFuQNTxk8fAiAeHYlSpTY0kWIWCvXycxNa+eTEztKqr2YjkLoObg/aCVjAliQNzylY+92AGL95URlgA3XLQ3YyLhYqkumM5DXR+/gAlpmT0cbrMvhyYQFecNTTh3YTed0oKeSVFYbGxbPClrJuEhEhFj1PCBCd8lKph09iaZSQWsZ48SCvOEpI/UNNJXNZTg5i2RpHvGonWJTgVU3Xkm2dJPKuYxYIkXi6NGglYxxYr9AwzNUlZyWTrpmrwCg4pq1ARsZXrF+0WyyspsRrUYR+g5ZDZvJggV5wzNGWlvJGkqi2UvJiR7jLesXBK1keEQsGoE5UdB8uvMXcPTV3watZIwTC/KGZ3Tu3EYilodShRb0UTAtHrSS4SFlV68HkrSU1XDq1VeC1jHGiQV5wzOObvs1bcUrgCiFa5YErWN4zNUbVjMj3sTx2cuJHmgIWscYJxbkDc/of3UXzeW1ZEdOsPGtG4LWMTwmLzuGzhggGZ/PtBOQ7O4OWskYBxbkDU/QVIqsuhMMTF9GVsFxZk7PDlrJ8IGCVUtAInTOrKFzu5XLTwYsyBue0LVnJ935q0HizFpXHbSO4RMb33EjsehxjpZdRd0vfxi0jjEOfA/yIvJWETkgIodE5AG/t2cEw/6nHudI+TXEYkfYdOsNQesYPpGfm8X0kk66CpfQ/XJd0DrGOPA1yItIFPgi8DagBniPiNT4uU0j86gqnc820Zs/n6IFCXLiNszfVGbNnTeBJuiJX83JA7uD1jHeBL9/jVcAh1S1DkBEvgvcBuz1ekMDfX2kkiPOhCqaNi812gRbR+elzVVFdXS2nk4bTTw9b/QD6nxO+97oOhVAzzT3TqWU06tM++sslm4ImkymKaU1GR+znTRLNOVuNc1f0/7P15FKt0iTStsfmvYP6+iK0veNnt2/6blnaS15FxFt5+b3vxtjanPZ5dU8X/QjjslV/OKhL/L2L/0NErXqsl4Qz8oiFvd2X/od5OcC6SMMtABX+rGh73zo8wxmX+PHqo03ZT0SH2TxzYMUzMgLWsbIAHd+9I/5lwefpD3/Lr7xMasz7xWzyp/n7k9+0tN1+h3kz9bHrL5hIZF7gXsB5s+/sFGEpi8Cafnl+TZzHs6y7Jv2jqvnWebM+s6/mvM4jrt33on8n+nrH/u99A3q6aRx+UuE6jvfwjWb77gwF2PSMXP2LN798K08+ZlH0B6YwAlrnIe5l6/0fJ2iY2/rvVy5yFXAp1T1Znf6QQBV/ZtzfWfdunW6bds235wMwzCmIiLyO1VdNzbd79o1LwPVIrJIRLKAuwGrd2UYhpEhfC2uUdUREfkQ8DMgCnxdVff4uU3DMAzjDL7XdVPVp4Cn/N6OYRiG8UasxathGMYUxoK8YRjGFMaCvGEYxhTGgrxhGMYUxtd68heCiHQAjRf49dnAcQ91vMK8JoZ5TQzzmhhh9YKLc1ugqsVjE0MX5C8GEdl2tsYAQWNeE8O8JoZ5TYyweoE/blZcYxiGMYWxIG8YhjGFmWpB/tGgBc6BeU0M85oY5jUxwuoFPrhNqTJ5wzAM4/VMtZy8cQ5ExPqCnQLYcTQmyqQK8iJSFsaTXETKRSQ7aI+xiMgKEfk4gIbolk1ESoN2OBsiMidoh7MhIktF5G0QuuO4QEQubAAInxGRnKAdzkYQMWxSBHkRyRaRLwHPAo+KSChGpxCR6SLyeeAnwFdF5L1ueqD7VRw+B3wHiIlIKMZmE5FpIvIF4Kci8oiI3Ba0E5w+jo8APxGRL4fs/Po/wONAVtA+o7jH8RGc8/4xEfmAmx54PBGRPBF5FPhfIjLLTQs8YxhkDAv8oIyTW4EyVV0C/Ah4SESWBCkkIuXAN3F+fNcATwKjuebUub+ZEYqBMmCtqn5GVRMB+4xyH1CsqrXAE8Bfi8jiIIVEZC7wzzi/hVtwfoT/O0gnABGZAXwfuFZV16jqk0E7pfFfgXJVrQE+BXwYgj/v3dz7Q8C1QD7wFtcrDHc/gcWw0AZ5EZmeNqlAB4B7sv8UeL+IFAbgle9+7AI+oqofUtVeYA7whIgUu8tldN+meQEUANWqOiwiN4vIR0Xk5kz6pHlNd9+jQBHOCY6qPgv04eS4CoJwcxkEvqqq96vqMeB7wA4R8X4ctol7/TOwB0BErhGRLSJS7U5n/LcrIlF3uwLscpPLgR+LyLJM+6R55bofh4AvAdcDB4G1IlLlLpPx3HxYYljogryILBaR7wHfFJG3i0geMAB0u7lngM8Ca4Dl7nd8P4BjvYC4qjaKSK6I3A88AOThnPA1qprKsNc33P01E+gFfiMiDwEfwwkYXxCRe8aceJnwekxE3uEm9wBXisgq92K4H1gCVLrfycT+Wioi/ygi0wBUtRP4j7RFKlyfA367vInXMPBLQEXkGPDXwGbgWRFZnsHz67SXqibd3PpRYL6IPAf8Lc5x/YWIbM5kMBWRahH5J5zij1uBfFU9pKrHgV8BOQSQmw9dDFPV0LxwLjo/Aj4B3IZzVX4YyAZ+DLwNyHKX/RTwbwF5fRH4e3eeAEvSln0IeDogr38APufO+3uc4LXKnX4X8G84P4RMe/0j8Bkg7r7/K7DDPZ5/CTyaof11LfASkAL+x+jxG7PMUuD7mfA5n1faftwEfHTM+fXTEHgV4Nz1lLpp9wFPZXCf/RGwF/gA8KfAV4A/HrPM+4BHcIotM+UVuhiWsRN5nDtoLvAtIJo2/RJwJXAX8A3gCnfeMvfAxgPyegG41Z2W0WCBkwt8ApgWkNdvcW5XVwFPA3+atvyvcMpSg/La4k4vAma6n+8E/nx0P/rsdRlwObAYOITTodPYZe4GPut+fh+wMgP7a6zXwrR5OWOWrcYpq88Jyss93+e6AbTSTcvGyVTM8tvL3d4W4J1p038L/Bf3c8x9nw/8T+CDOHfa12fAK3QxLFTFNap6BFiHc1s6Ov0PwKdV9V+B14AHReQjwHeBOs3AQ8VzeH0J+HN3WlVVReQq4OvAVlUdCNDrE6q6E6f13DtF5EH31no3cCIgry8C/92drlfVEyJyPfDfgGY33ddbalXdBxxS1UM4F8CH4A3l25uAWSLy78B7cYq6fOUsXp92vURVT29fRK4Gvga8mJ6eaS/3OB3DueC8T0T+BGcc55dxnlX5jqr+HPi5iIwOYTqI83wAVR1x35uA6cBf4Vy8gzr3g41hmbjqnuVq94ZcLmeufH8CPJ+WXohzW7geJwdxHfB3wB+GwOtx1ycP5wewHfj9EHj9C3C1O70c+Ahwdwi8HsfNTeHk4A8C782EV9q80TuufJzc6aYx83+C87DzXWHxwglUH8cp4np3iLxW4uSSf+zH+fVmbmOW+zZwx5i09UAr8Ac+eM0EZqTvJ87cQQQWw87qmomNjNk5DwP/D1jtTkfGzI/iPHD6cFraY8DlYfYCasPoFeL9VRiE16ib+/5h4Efu5/e4P8AbQ+gVI+25T4i8fC2SHKdbBMgFfoBTw02Am4FsH70+AezDyYl/aqxbUL/Jc70yXc3vP7sH4CBwB7yxbq2qJoG/AO4XkdtF5A9xygV9q4N7kV6j83eEzCus+0vd+aeC8HJJufO+AFwjIl3ATTiB4T9C6BVX1ddC5rURt92d114TcXPTCtzX2znzTMpzN3EaWn0W5zy+Efgk8GERWahptZ2C+E2eF7+vIrgP2NzPRcA8nIPwZeAWN13Slom477fhFIH8GqdBiHmZ10V7pS1bgFONbRdwjXkF63WRbu/ECaDfA67zywvnjupG3GIZN+0rpFVucNMycu6P29+3FTsnxVeBrTjldsvHzLsf+L+45VqcKfvzu4aFeV3CXmnLRPCh5ox5BeKWB7zfZ6/7cIvM3H0hOK3df8WYolq/z/2JvvwsrnkQp2zqz3Cuyqf7SVbVLpwqiIJTfxt1987ou3mZlx9eacukVHUX3mNeGXQTkYiq9qnqlzPg9Q13+ymcXH0Cp5XtkfQvZeDcnxCeB3lxGK3W9G1V3aeqnwGGReTTaYvuxrkKrhCRvxCRD/jZ6su8zMu8wuPllZv60F/OObz+Kt1LnWqPi4ARVe0QkTtE5G6vXbzA8yCvDiM4dVbXps36IPBBESlyl+vHuTrfDdyLU1/UtyugeZmXeYXHK8xu4/XCqQufK07XCh/HaTsQPtT7cqzRhw5rcDrkmZY27yvAx/RMeVcdaU22/XyZl3mZV3i8wuw2Dq8H3c8PAG3A+zK1zy7kdcHD/4kzGEUS+DtNa7Elbi91qpoUke8CA6r6n9x5HwWOqeq33OksdTpi8gzzMi/zCo9XmN0u1ktEVgP7NQOt2y+KC7jKTcNpnn4E2IbbAZY7L70K3SKc/iyec5e/G6f61R0T3aZ5mZd5TS6vMLt54OV5a2g/XxPZMaNNdgVnkIwYTvennyetZ0OgFPgn4EWcXgdrcXqJ+zlwpw8HzLzMy7xC4hVmt7B6+f0a144BPofT18Lm0Z3kvpfhPPXekpa2BfiA7+LmZV7mFRqvMLuF1StTrzfbOYLTg9q3gD/A6YnuPtL6hcDpz+I7nKULW9w+L3w4aOZlXuYVEq8wu4XVK5OvN9tBM3Bae+W70zczpvc0nNuZH+CMYXgD8HujO9fHE8q8zMu8QuIVZrewemXydd568qraDTTgdJ0J8Buc7nSvEpFSd5kE8BROvxFf40wHVHq+dV8M5mVe5hUerzC7hdUrk4ynMdQPgFoRKVNnwOpdOE15ywBEZBXO4BlfUNXFqvqEb7bmZV7mFVavMLuF1SsjjCfIPw904l4JVfUV4AqcPpzBGdT3OlV9wA9B8zIv85oUXmF2C6tXRoi92QKq2ioiTwAPi8ghnCG+BoHRIbY6/FU0L/Myr7B7hdktrF4ZY7yF9zijjH8d2A98yMsHAxfzMi/zMq/weIXZLaxefr8m1K2BiMSd64IzUG5YMK+JYV4Tw7wmTljdwurlJxfcd41hGIYRfjI6xqthGIaRWSzIG4ZhTGEsyBuGYUxhLMgbhmFMYSzIG4ZhTGEsyBuGYUxhLMgbhmFMYSzIG4ZhTGH+PzcByu2hi0Q4AAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sun_zen = ephem_data['apparent_zenith']\n", - "sun_az = ephem_data['azimuth']\n", - "DNI = irrad_data['dni']\n", - "DHI = irrad_data['dhi']\n", - "DNI_ET = pvlib.irradiance.get_extra_radiation(times.dayofyear)\n", - "AM = pvlib.atmosphere.get_relative_airmass(sun_zen)\n", - "\n", - "surf_tilt = 32\n", - "surf_az = 180\n", - "\n", - "iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi'])\n", - "iso_diffuse.plot(label='isotropic diffuse')\n", - "\n", - "klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['ghi'], \n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "klucher_diffuse.plot(label='klucher diffuse')\n", - "\n", - "dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear)\n", - "\n", - "haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['dni'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "haydavies_diffuse.plot(label='haydavies diffuse')\n", - "\n", - "perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['dni'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'],\n", - " AM)\n", - "perez_diffuse.plot(label='perez diffuse')\n", - "\n", - "irrad_data['dhi'].plot()\n", - "\n", - "plt.legend();" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sun_zen = ephem_data['apparent_zenith']\n", - "sun_az = ephem_data['azimuth']\n", - "DNI = irrad_data['dni']\n", - "DHI = irrad_data['dhi']\n", - "DNI_ET = pvlib.irradiance.get_extra_radiation(times.dayofyear)\n", - "AM = pvlib.atmosphere.get_relative_airmass(sun_zen)\n", - "\n", - "surf_tilt = 32\n", - "surf_az = 90\n", - "\n", - "iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi'])\n", - "iso_diffuse.plot(label='isotropic diffuse')\n", - "\n", - "klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['ghi'], \n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "klucher_diffuse.plot(label='klucher diffuse')\n", - "\n", - "dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear)\n", - "\n", - "haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['dni'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "haydavies_diffuse.plot(label='haydavies diffuse')\n", - "\n", - "perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['dni'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'],\n", - " AM)\n", - "perez_diffuse.plot(label='perez diffuse')\n", - "\n", - "irrad_data['dhi'].plot()\n", - "\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Examine the impact of the coeffecient selection." - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['dni'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'],\n", - " AM, model='allsitescomposite1990')\n", - "perez_diffuse.plot(label='allsitescomposite1990')\n", - "\n", - "perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, \n", - " irrad_data['dhi'], irrad_data['dni'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'],\n", - " AM, model='phoenix1988')\n", - "perez_diffuse.plot(label='phoenix1988')\n", - "\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Angle of incidence functions" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The ``irradiance`` module has some convenience functions to help calculate the angle of incidence." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, the angle of incidence." - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "proj = pvlib.irradiance.aoi(32, 180, ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "proj.plot()\n", - "\n", - "#plt.ylim(-1.1,1.1)\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "AOI projection: the dot production of the surface normal and the vector to the sun." - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "proj = pvlib.irradiance.aoi_projection(32, 180, ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "proj.plot()\n", - "\n", - "plt.ylim(-1.1,1.1)\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The ratio between POA projection and the horizontal projection." - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "ratio = pvlib.irradiance.poa_horizontal_ratio(32, 180, ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "ratio.plot()\n", - "plt.ylim(-4,4);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This plot shows that an explicit dot product calculation gives the same result as ``aoi_projection``." - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "surf_tilt = 90\n", - "surf_az = 90\n", - "\n", - "sen_alt_rad = np.radians(90 - surf_tilt)\n", - "sen_azi_rad = np.radians(surf_az)\n", - "\n", - "alts = np.radians(90 - ephem_data['apparent_zenith'])\n", - "azis = np.radians(ephem_data['azimuth'])\n", - "\n", - "dotprod = np.cos(sen_alt_rad)*np.cos(alts)*np.cos(sen_azi_rad-azis) + np.sin(sen_alt_rad)*np.sin(alts)\n", - "dotprod.plot(label='dotprod')\n", - "\n", - "proj = pvlib.irradiance.aoi_projection(surf_tilt, surf_az, ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "proj.plot()\n", - "\n", - "plt.ylim(-1.1,1.1)\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### get_total_irradiance" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There is a convenience function ``get_total_irradiance`` that aims to make it easier to play with different models. For now, we use it to make summary plots of the models explored above." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "South facing with latitude tilt." - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [], - "source": [ - "def get_total_irradiance_per_model(surface_tilt, surface_azimuth):\n", - " models = ['isotropic', 'klucher', 'haydavies', 'reindl', 'king', 'perez']\n", - " totals = {}\n", - "\n", - " for model in models:\n", - " total = pvlib.irradiance.get_total_irradiance(\n", - " surface_tilt, surface_azimuth,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'],\n", - " dni=irrad_data['dni'], ghi=irrad_data['ghi'], dhi=irrad_data['dhi'],\n", - " dni_extra=dni_et, airmass=AM,\n", - " model=model,\n", - " surface_type='urban')\n", - " totals[model] = total\n", - " total.plot()\n", - " plt.title(model)\n", - " plt.ylim(-50, 1100)\n", - " plt.ylabel('Irradiance (W/m^2)')\n", - "\n", - " plt.figure()\n", - " for model, total in totals.items():\n", - " total['poa_global'].plot(lw=.5, label=model)\n", - "\n", - " plt.legend()\n", - " plt.ylabel('Irradiance (W/m^2)')" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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XW7dfAvxPRN7C0g0WBmyrwHmVUg5M61nYV5kGuEXE1RiT87tlgcaYc+U9oTHmJxGZD+wAcoGdWFoDPsA8EXkYS0IZYd1+j4jMA/Zat59ojMkr73mVUkpVXGljFv2ALwB3EdkJjDfGHLGuXglcXZGTGmNeBF783eIsLK2MorZ/FcuAuFJKKTso7T6LN4BBxpiGWP77XyUiPa3rKncnjFJKKYdRWjeUmzFmD4AxZr6I7AMWishkirkiSSmlVO1TWssiR0QaX35iTRw3YulCCrNlYEopVVFTpkxh2rRpVXa8hx56qOBO8rFjxxbMDfXNN9/Qvn17+vXrB8C9995LeHh4wQ18tUlpLYvJQCPg9OUFxpgEEbkeeNyWgSmlVE00c+bMgu8/+eQT3n//ffr168fp06fZsmULR48etWN0tlPapbOri1meig44K+WQTr/2Gln7qraehXv7djT+61+LXW/LehbTp09nxowZuLi40KFDB+bMmXPF+o8//piFCxfSqVMngoODmTRpEgB/+9vfaNSoUUE1vcKMMfz5z39m7dq1hIaGUnimixtuuIFp06axbNkyNm3axOHDhxk6dCgrVqzg7NmzRERE8N///pe///3vTJs2jcjISM6dO0dkZCRHjhxhz549jB49muzsbPLz81mwYAFhYWF8+eWXTJ8+nezsbK655href/99nJ1rzjR4ZZpIUESKvd9CKaXKwlb1LKZOncrOnTuJi4v7wxxN7777Lt999x3ffvstEydOZPbs2YBl5tg5c+YwcuTIIo+5aNEiDhw4wK5du/j444/ZsmXLH7b5xz/+QWRkJF999RVvvvkmS5YsoXXr1sTGxnLdddcVG++MGTOYNGkSsbGxREdHExwczL59+5g7dy6bN28mNjYWZ2fnCk2KaEul3mchIqOwTPexyvbhKKVsraQWgC3Zop4FQHh4OCNHjmT48OEMHz68YPkXX3xBcHAw3377La6uroSEhNCgQQN27tzJmTNn6Nq1Kw0aNCjymBs2bODee+/F2dmZpk2b0r9//yp7HXr16sWrr75KQkICd9xxB2FhYaxZs4aYmJiCSRMzMjIICgqqsnNWhdLus/grMAAYUj3hKKVqq/LWs4iOjqZ58+ZMmTKl2HoWAEuXLmXDhg0sWbKEl19+mT179gDQqVMnYmNjSUhIIDQ0FLAMTn/22WecPn2aMWPGVEm8xSlcJ6Nw/Pfddx/XXHMNS5cuZdCgQcycORNjDKNGjeL111+v1DltqbRuqBeBh40xl6ojGKVU7WWLehb5+fkcP36cfv368cYbb5CSkkJ6ejoAXbt25cMPP2To0KGcPGmZTu7222/nhx9+YPv27SVOZ963b1/mzJlDXl4ep06dYt26cs2XCljmw4qJscyIVPhniI+Pp1WrVjzxxBMMHTqUuLg4brzxRubPn8/Zs5Yp8ZKTk2vcQHlp3VCjgfkiMrAiU3sopdRltqhnkZeXx/33309qairGGJ566in8/QsqHdCnTx+mTZvGkCFDWLVqFYGBgfTr1w9/f/8SB49vv/121q5dS+fOnWnbtm1B2dbyePbZZ7nrrrv44osvrujGmjt3Ll9++SWurq40btyYf/zjH9SvX59XXnmFgQMHkp+fj6urK++99x4tW7Ys93ltpdR6FiLSH3jJGNOnekKqGlrPQqnfaD0Li/z8fK6++mq++eYbwsL0VrHy1LMo9WooY8xaYELVhaeUUtVv7969tGnThhtvvFETRQWUadZZY4yWt1JKVVhNqGfRoUMH4uPjr1i2a9cuHnjggSuWubu789NPP1Uq1tqorFOU+wMPAiGF9zHG/PFuFqWUsgFb1LPo3LkzsbGxVX7c2qhMyQJYBmwFdgEVrr2tlFLKMZU1WXgYY562aSRKKaVqrDJN9wF8ISLjRKSJiNS//LBpZEoppWqMsrYssoE3gb/xWx0LA7SyRVBKKaVqlrK2LJ4G2hhjQowxodaHJgqlVJ135MgROnXqVObtb7jhBi7fA3bLLbeQkpICWGbPbd++PSNHjiQrK4ubbrqJiIgI5s6da5O4y6usLYs9gE75oZRySLm5ubi4lPXjrvosW7as4Pv333+f5cuXExoaytatW8nJyalRV2qV9dXLA2JFZB2QdXmhXjqrlOPZOO8Xzh1Pr9JjBjb34bq72ha73pb1LLZv387DDz+Mt7c3ffr0Yfny5ezevZvPPvuMpUuXkpmZycWLF5k/fz5jxowhPj4eLy8vPvroI8LDw5kyZQo+Pj48++yzgGUCwstTot9888306dOHLVu20KxZMxYvXoynpycxMTGMGTMGLy8v+vQpeXKLjIwMRo8ezd69e2nfvj0ZGRkF60JCQoiOjuaFF14gPj6eoUOHcv/99/Pxxx+TmJhIREQECxYs4MYbbyQ6OprAwECio6N59tlnWb9+PT/++GNBfQ4RYcOGDfj6+vLmm28yb948srKyuP322/nnP/9Zrt9nUcraDfUtlmJHW4CYQg+llCoTW9WzGD16NDNmzCAqKuoP8z1FRUUxe/Zs1q5dy4svvkjXrl2Ji4vjtdde48EHHyw15oMHDzJx4kT27NmDv78/CxYsKDjn9OnTCyZGLMkHH3yAl5cXcXFx/O1vfyuYXLCwGTNm0LRpU9atW8dzzz3HzJkzue6664iNjaV169bFHnvatGm89957xMbGsnHjRjw9PVm5ciUHDx5k27ZtxMbGEhMTw4YNG0qNszSlTVH+EbAcWGiMSav02ZRSdldSC8CWbFHPIiUlhbS0NHr37g1Ypv8unFgGDBhA/fqWCzc3bdpU8GHfv39/kpKSSE1NLTHm0NBQIiIiAOjWrRtHjhwhNTWVlJSUgskFH3jgAZYvX17sMTZs2FBQjS88PJzw8PDSX6wyuvbaa3n66acZOXIkd9xxB8HBwaxcuZKVK1fStWtXANLT0zl48CB9+/at1LlK64b6FBgMPC0i2cBK4AdjzM+VOqtSqs6xRT2L0iZC9fb2LnFbEbmi7sTl81/m7u5e8L2zszMZGRkYY8pd68JWtTEmT57MkCFDWLZsGT179mT16tUYY3j++ed55JFHKnXO3yuxG8oYs9UYM8UYcx1wF3AMeEZEdorIpyJyV5VGo5SqtWxRzyIgIABfX1+2bt0K8If624X17du3oFTp+vXrCQwMxM/Pj5CQEHbs2AHAjh07OHz4cIk/h7+/P/Xq1WPTpk0ApZY/LXze3bt3ExcXV+L2RSlcG+Ny6wjg119/pXPnzjz33HNERkayf/9+Bg0axKefflpQ1+PEiRMFdTIqo6xjFhhjkowxXxtjHjTGdAXeAyo0daOI+IvIfBHZLyL7RKSX9Ua/VSJy0Po1oND2z4vIIRE5ICLFVyxRStVYl+tZhIeHk5yczFNPPcWsWbMYMWIEnTt3xsnJiQkTJuDv719Qz2L48OEl1rMA+OSTTxg/fjy9evXCGEO9evWK3G7KlClER0cTHh7O5MmTC+px/+lPfyI5OZmIiAg++OCDgm6xksyaNYuJEyfSq1cvPD09S9z20UcfJT09nfDwcN544w169OhR6vF/78UXX2TSpElcd911V4zLvP3223Tq1IkuXbrg6enJzTffzMCBA7nvvvvo1asXnTt35s477yQtrfKjCCXWsxCRJCxzQm0BNgPbqqJqnojMBjYaY2aKiBvgBfwVSDbGTBWRyUCAMeY5EekAfA30AJoCq4G2xpi8ks6h9SxUTZeTl8/RpIscTbpEelYuAPW93WhR34sW9b0q3XVRWG2uZ5Geno6Pjw8AU6dO5dSpU7zzzjtVfp7aqDz1LEobswgFegK9sXyYdxOReKzJwxgzr7zBiYgf0Bd4CMAYkw1ki8gw4AbrZrOB9cBzwDBgjjEmCzgsIoewJI7SL0NQqobJzMljadwplu8+xdb45IIk8XsBXq70bduQ28Kbcv1VDXF1LnMnQJ2zdOlSXn/9dXJzc2nZsiWfffaZvUOqlUpMFsaYC1gGtVcCiIg3llKrTwKPA+VOFlimCEkEZolIFyyX4E4CGhljTlnPe0pEgqzbN8PSurkswbpMKYeRnpXLxxvi+WzLEVIzcggO8GRoRFMiWwYQEuiNn4crAEnpWfyaeJGYo+dZs/8Mi2NP0szfkwnXt+Lu7i1wc3HMpGHrehZ33313pY5dFVasWMFzzz13xbLQ0FAWLVpkp4iqVmndUE2xtCp6A5c7DmOwfHhHGWPKXVFcRCKt+19rjPlJRN4BLgB/Nsb4F9ruvDEmQETes57rS+vyT4BlxpgFRRx7PDAeoEWLFt1qWsFzVfcYY1i08wSvLt1H0sVsBnVsxEO9Q+nZqn6p3Uw5efms23+WGT/+yo5jKbRu6M3LwzrRu01guePYt28f7dq1q9KuLeXYjDHs37+/yrqhEoAdwH+AydYuo8pKABKMMZdLUc0HJgNnRKSJtVXRBDhbaPvmhfYPBk4WdWBjzEfAR2AZs6iCWJWqsKT0LJ5bsIvV+87QrWUAnz7UnS7N/Uvf0crV2YmBHRszoEMj1h9I5MUle7hv5k881DuE529ph7uLc+kHsfLw8CApKYkGDRpowlAYY0hKSsLDw6PM+5TWsugF9MLSsggFjmAZK4gCoq3jCOUmIhuBscaYAyIyBbh8MXRSoQHu+saYv4hIR+B//DbAvQYI0wFuVZPtOZnK+M9jSEzP4i+DrmL0taE4O1XuQzozJ483fjjAp5sP06mZHx89EElT/5KvxLksJyeHhISEYu9XUHWPh4cHwcHBuLq6XrG8uJZFicniDxuLhAC3YRljCDbGlD0tXXmcCGAm4AbEYxkHccIyBtICy/0cI4wxydbt/waMAXKBJ40xxd8uaaXJQtnL6r1nePzrHQR4ufHhA90IDy57a6IsVu45zTPzfsbb3YVZo7vTvolflR5f1W0VThYi0o7fxi2uBQKwtCw2G2Om2SDWKqHJQtnDkp9P8tTcWDo19ePjUZEE+Vbo/6lS7Tt1gdGztnMxK5dZo7sTGaK1yFTVKC5ZlHhphYicA74BrgE2ArcZYxobY26vyYlCKXtYuCOBSXN20q1lAF+OvcZmiQKgfRM/Fj7Wm4a+7jw0azs7j5232bmUgtLHLOoZY0qeaauG0paFqk5r959h3OcxXBNan09GdcfTrZTB55wMOLEDzuyBlKOQlQYi4BkA/i2hSRdo3BmcXUs8zOnUTO7+KIrki9l8Pa4nnZoVffeyUmVVoW4oEXkBeM8YU+S/LSLSH/AyxhQ/f7CdaLJQ1SXm6HlGztxKWJAvX4/viY97MRcZ5ufBgeUQ+z/4dS3kWusauHiARz0w+ZCRAvk5luUe/nDVzdD1AWjZ25JMinAiJYMRH2whzxgWT+xD43q2a9Go2q+iyWIY8BcgE8sltImAB5Y5oSKwTL3xmjEm0RZBV4YmC1UdEs5fYui7m/HzcGH+o70J9HH/40b5+fDz1/DjVEg5Br5NoN2t0OYmSwvCt/FvicAYOH8ETu6Ag6vgwDLITIUmEdD/BQgbUGQc+05d4M4PthAS6M28R3rhXVzCUqoUlboaSkTCsAxuNwEygH3ABmNMRok72pEmC2VrmTl53DljC0fPXeLbx6+ldUOfP26UEAPfPwmn46Dp1dDnSbhqCDiX8cM8+xLEzYUt0yE5HlrfCLe+BQEhf9h03f6zPDx7OwM6NGLG/d30fgpVIVVy6awj0WShbMkYwzPf/MzCHSeY+WAkN3VodOUGeTmwYRpseNPSchjwEnS8A5wqOF1HbjZsnwnrX7d0V938L4gY+YeuqZkb43ll6T5eGNKesde1quBPp+qyCl0NpZQq2jcxCSzccYJJN4b9MVFcTILPh1u6nTqPgMeioPOdFU8UAC5u0OsxeHQLNO0KiyfCt49C7pX3xT7cJ5SBHRoxdfl+dugVUqoKabJQqpyOJl3kn0v20LNVfZ648XclXc7uh5n9IWE73P4R3PGhZfC6qvg3hweXwA3PW8ZBZt8G6b8NGYoIb97Zhcb1PPjz/3aSmpFTdedWdZomC6XKITcvnyfnxuLsJLx1V8SVU3icjIVZgy3jDKOXQRcbzYTq5AQ3TIYRn8GpOJh1M1z4bbq0el6uvHvf1Zy+kMnL3++1TQyqzilTshCRtiKyRqP3vH0AACAASURBVER2W5+HWy+rVapOeXfdIXYeS+HV2ztfOS9TQgx8PhTcfODhFRD8hy7fqtfxdnhgEaSdtiSM87/NshzR3J9Hr2/N/JgEVu09Y/tYVK1X1pbFx8DzQA6AMSYOuMdWQSlVE/1yJo331h1iWERTbuvS9LcVp+Lgi+GWG+pGL4P61Tiw3LIXPLgYMs7D58Mg/bday0/cGEa7xr48v3AX5y9WxYTRqi4ra7LwMsZs+92yokt8KVUL5ecbJi+Iw8fdhX/c2uG3FeePwld3grsvPLQU/FtUf3DB3WDkfEsL46s7IfMCAG4uTvz7ri6kXMrW7ihVaWVNFudEpDVgAETkTuCUzaJSqob5atsxdhxL4YUhHWhw+ca7S8nw5R2Qmwn3L4B6wfYLsHkPuOtzOL0b5j1guXQX6Ni0HhOub83CnSeI+jXJfvEph1fWZDER+BBoJyInsJRVfdRmUSlVg5xOzeSN5fvp0yaQO662VvTNy4X5oy13ZN87F4Lal3yQ6tB2IAz9L8Svh5V/L1g8sV8bggM8+fvi3WTn5tsvPuXQypQsjDHxxpibgIZAO2NMH2PMEZtGplQN8dqyfWTn5fPq7Z1+uyt67UuWD+Uh/7aMG9QUXUdCz8fgpw8sc1ABnm7O/HNoRw6dTWfmpng7B6gcVVmvhnpNRPyNMReNMWkiEiAir9g6OKXsLeZoMkt+PskjfVvRsoG1oOOeRbD5Heg2Gq5+0L4BFmXAyxDaF7570nI5L3Bj+0YM7NCI6WsOciKlxs7So2qwsnZD3WyMSbn8xDoL7S22CUmpmiE/3/DP7/bSyM+dCTe0tixMPgyL/wzB3S1TbtREzi5w52fg1QAWPAxZ6QD847YO5Bv494oD9o1POaSyJgtnESmYTlNEPIEiptdUqvZYtPMEcQmpPDe4HV5uLpZxioXjQZzgzk/BpQa/BbwbWO4eT/oVfngOgOAAL8ZcG8rCnSfYleCQZWqUHZU1WXwJrBGRh0VkDLAKmG27sJSyr4tZufzrh/10ae7P8AjroPbGf0PCNsusr/a4RLa8QvtCn6dg55eweyEAj/VrTX1vN15ZupfaOomoso2yDnC/AbwKtAc6Ai9blylVK83afJizaVn849b2ODkJJETDj/+CzndZJgV0FP3+Cs0i4funIO0Mfh6uPHVTGD8dTtY7u1W5lHluKGPMcmPMs8aYZ4wxK2wZlFL2lHIpmw83xHNT+0Z0a1nfMj344omWqcaHOFjpeWdXGP6BpYzr8v8D4J4eLWjd0JupP+wnN08vpVVlU9aroe4QkYMikioiF0QkTUQu2Do4pezhww3xpGfl8szAtpYFm/4DifthyFtVO4NsdWnYFm54DvYuhr1LcHV24v8GXUV84kW+jT1Z+v5KUfaWxRvAUGNMPWOMnzHG1xjjZ8vAlLKHsxcymbX5MEO7NKV9Ez/LlOMb3oROf4KrBts7vIrr/QQ07gxLn4GM8wzq2JiOTf2YvuYgOdq6UGVQ1mRxxhizz6aRKFUDvLvuELl5hqduamupnf3dE+DuA4Nr6GWyZeXsCsPeg0tJsOofiAhPD2jLseRLLIhJsHd0ygGUNVlEi8hcEbnX2iV1h4jcYdPIlKpmCecv8fW2Y9zVvTkhgd4Q+xUc/wkGvgo+De0dXuU16QI9H4UdX8CJGPq3CyKiuT//XXuIrNw8e0enariyJgs/4BIwELjN+ri1MicWEWcR2Ski31uf1xeRVdaxkVUiElBo2+dF5JCIHBCRQZU5r1LFmfHjrwA83q8NZKbCmn9CcA+IuM/OkVWh658DnyBY9n+IMTw9oC0nUjKYt/24vSNTNVxZL50dXcRjTCXPPQko3LU1GVhjjAkD1lifIyIdsNTO6AgMBt4XEedKnlupK5y9kMm86AT+dHWwpajRj2/AxXNwyxsgUvoBHIWHHwx4CU7EQOxXXBcWSPeQAN5b96u2LlSJyno1lIeITBSR90Xk08uPip5URIKBIcDMQouH8duNfrOB4YWWzzHGZBljDgOHgB4VPbdSRfl4Yzy5efk8ekNrSPwFfpoBXe+Hpl3tHVrVC78bmveE1VOQzFQe7x/G6QuZfLvzhL0jUzVYWbuhvgAaA4OAH4FgIK0S530b+AtQ+DKMRsaYUwDWr0HW5c2Awm3kBOsypapE8sVsvvrpGEO7NKVlfS9Y8Ty4esGNL9o7NNsQsbSYLiXBxn/TNyyQjk39+PDHePLy9a5uVbSyJos2xpi/AxeNMbOxtAo6V+SEInIrcNYYE1PWXYpYVuRftIiMF5FoEYlOTEysSHiqDpq1+TCXsvOY2K8N/LoWDq229u3XgkHt4jTpAl3uhZ8+RFITeOyGNsSfu8iKPaftHZmqocqaLHKsX1NEpBNQDwip4DmvBYaKyBFgDtBfRL4EzohIEwDr18vFhBOA5oX2DwaKvJPIGPORMSbSGBPZsGEtfqOrKnMhM4fPthzh5k6NCWvoDaunWOZ96jHO3qHZXr+/Wr6ue5XBnRrTKtCb99cf0jmjVJHKmiw+sl6d9HdgCbAXy4165WaMed4YE2yMCcEycL3WGHO/9bijrJuNAhZbv18C3CMi7iISCoQBv68HrlSF/O+nY6Rl5lpaFXsWwuk46PdCzZ5Rtqr4N4eeE+DnOTif3c0j17di94kLbDx4zt6RqRqorFdDzTTGnDfG/GiMaWWMCTLGzKjiWKYCA0TkIDDA+hxjzB5gHpYE9QMw0Rijl22oSsvJy+ezzUe4tk0DOjXyhLWvQKNO0HmEvUOrPn2eskxhsupFbu8aTGM/D95ff8jeUakayKWklSJyvzHmSxF5uqj1xpi3KnNyY8x6YL31+yTgxmK2exXLrLdKVZllu05x+kImr9/RGXbMhvOH4b554FTm+TUdn2cA9P0/WPk33I5tZOx1obyydB+7ElLpHOyA82ApmyntXWGtI4lvMQ+lHJIxho83xtO6oTfXh3hZ7qto0RvCBto7tOrXfSz4NoV1r3F3ZDA+7i58uvmwvaNSNUyJLQtjzIfWr/+snnCUqh4/HU5m94kLvHZ7Z5yiZ8LFs3D3l7XrBryycvWA656GZc/ie3ITIyKD+XLrUSbf3I5Gfh72jk7VEKV1Q00vab0x5omqDUep6jFzYzz1vd24o5M/vPdfaN0fWlxj77Ds5+oHYdPbsO51Hhq+iM+2HOGLqKM8O+gqe0emaojSuqFirA8P4GrgoPURAeggs3JI8YnprN53lvt7tsTj58/h0jnLfRV1mYu7pXWRsI2WKVu5qX0jvvrpKJk5+jZXFiUmC2PMbOtNeGFAP2PMf40x/8UyEB1RHQEqVdU+3XwYNxcnHugWBJvfgdDroUVPe4dlf10fgHrNYd3rPHxtCOcv5bBIpwBRVmW97KMpVw5o+1iXKeVQLmTmsHDHCYZ2aUrDX762jFXU9VbFZS5u0PdZOBHNNXk76NDEj083Hdab9BRQ9mQxFdgpIp+JyGfADuA1m0WllI0siEngUnYeo7o3svTRh1wHIdfaO6yaI2Ik1GuObHqLMX1COXg2nU2H9CY9Vfab8mYB1wCLrI9e1u4ppRyGMYYvth6lS3N/Op/9DtJPw/V/sXdYNYuzK/T+MxyLYmjAURp4u/F51FF7R6VqgPLcfZQFnALOA21FpK9tQlLKNrb8mkR84kVG9WhqGato3tPSslBX6voAeDXALeod7urenDX7znAyJcPeUSk7K2s9i7HABmAF8E/r1ym2C0upqvd51BHqe7txq8s2SD0OfZ6sm/dVlMbNC66ZAAdXMKpVOgaYs+2YvaNSdlbWlsUkoDtw1BjTD+gK6BzgymGcTMlg1d4z3NUtGLef/guBV0GYVugtVo9x4OZD410f0u+qIL7efpycvPzS91O1VlmTRaYxJhNARNyNMfsBvVtHOYyvtx3DAGOaHoHTuyz98nVpDqjy8gyAbg/B7gWM7SQkpmWxcs8Ze0el7Kis75YEEfEHvgVWichiiqkpoVRNk52bz9fbjtP/qiCC4maAT2MIv8veYdV8vR4HJ2d6nv4fzfw9+XKrDnTXZWW9Gup2Y0yKMWYKlpoWn/BbjWylarTlu09xLj2LR69Kh/j1lhoOdaFeRWX5NYHwu3GK/R9juvkRFZ/EobOVqaasHFmpyUJEnERk9+Xn1poWS4wx2bYNTamqMWfbcZrX96TbiS/BzRe6jbZ3SI6j10TIzeAeWYOrs/DlVh3orqtKTRbGmHzgZxFpUQ3xKFWljiVdIio+ibEdnZA9i6DbKPD0t3dYjiOoPbTuj3fsp9zaMZAFOxK4lJ1r76iUHZR1zKIJsEdE1ojIkssPWwamVFX4JuY4IvCnvGWWy2R7PmbvkBxPz4mQfprHg3aRlpnL0rhT9o5I2UGJU5QXovUslMPJyzfMj0ngptY++OyZA+2HQr1m9g7L8bS5EQKvotWvs2kV+E/mRR9nRGRze0elqlmZxiyA96xjFVc8qiE+pSps48FETqVm8kRQLGSlQo/x9g7JMYlAz0eRUz/zZFgi24+c59DZdHtHpaqZjlmoWuub6AQCPF3omDAXGnXWacgro8s94FmfQWkLcXES5kUft3dEqprpmIWqlZIvZrNy72kmhSXhdHYP9BirU3tUhqsnRI7B/dAP3N0ml4U7EsjO1Tu66xIds1C10rc7T5CTZ7gjbxl41IPOI+wdkuPrMQ42v8MEj1V8lT6YtfvPMLhTE3tHpapJmZKFjk8oR2KMYV70cfo1ycXv8HLLpHhu3vYOy/H5NoZOdxC8fxGtfAcxZ/txTRZ1SIndUCKSJiIXinikiciF6gpSqfLYdSKV/afTeKr+FsjPhcgx9g6p9ugxHslO46/BP7Phl0SdurwOKa0Gt68xxq+Ih68xxq+6glSqPOZuP46PSz6dTi+ENgOgQWt7h1R7NOsGTbtyfcoi8o3l0mRVN1T7tJsi0lxE1onIPhHZIyKTrMvri8gqETlo/RpQaJ/nReSQiBwQEZ1XWhUrIzuPJbEn+b+WB3G6eFYvl61qItB9HK7nDzIuOIF50cfJz9ca3XWBPeZozgWeMca0B3oCE0WkAzAZWGOMCQPWWJ9jXXcP0BEYDLwvIs52iFs5gB/2nCItK5fbc5ZCQAi0ucneIdU+ne4AzwBGu60h4XwGW35NsndEqhpUe7Iwxpwyxuywfp8G7AOaAcOAy3W9Z/PbrLbDgDnGmCxjzGHgENCjeqNWjmLu9uP08z+D39lo6D5Wa1bYgqsndH2AJqfW0NbzAnO26+SCdYFd30kiEoKl6t5PQCNjzCmwJBQgyLpZM6DwHUAJ1mVKXeFo0kW2xifzrP8GcPGEiJH2Dqn26v4wYvL5W6OtrNxzhvMXdRLq2s5uyUJEfIAFwJPGmJKurCrqTqoiO0lFZLyIRItIdGKiVn2ta76JTsBf0ml/7gcIHwFe9e0dUu0VEAJtB3Ft6lJMXjaLY0/YOyJlY3ZJFiLiiiVRfGWMWWhdfEZEmljXNwHOWpcnAIVnLQummCp9xpiPjDGRxpjIhg0b2iZ4VSNdnjTwL4134JSbAd3H2Tuk2q/7OFwyEhkfuIu50QkYowPdtZk9roYSLJX29hlj3iq0agkwyvr9KGBxoeX3iIi7iIQCYcC26opXOYYNBxM5c+ESw7KXQfOe0CTc3iHVfq37Q/1WjHJZzb5TF9h9Qm+9qs3s0bK4FngA6C8isdbHLcBUYICIHAQGWJ9jjNkDzAP2Aj8AE40xeXaIW9Vg30QfZ4jXPrwvHrNMS6Fsz8kJuo8lKGUnXVyO6eSCtVxZ54aqMsaYTRQ9DgFwYzH7vAq8arOglENLSs9i1d4zLA1cB7lBlroVqnpE3AdrXmZyvY2Mj23F34a0x8NVr2yvjfS6QuXwvo09SeP804SlRkHkaHBxs3dIdYdnAISPoEf6GiQzhRV7Tts7ImUjmiyUQzPGMG/7cZ7234Q4OUO30fYOqe7pPg7nvEzG+UYxd7t2RdVWmiyUQ4tLSOXomXPckrsK2t0KfjoLarVrEg7Ne/KA82qifk3kWNIle0ekbECThXJoc6OP8ye3KNxzLug8UPbUYxz+mcfp67SL+THauqiNNFkoh5WRncd3sSd41HMtBHWElr3tHVLd1X4oeAfxpN+PfBOTQJ5OLljraLJQDmv57lOEZe8jOOuQlk21Nxc36DaKiMyfcL5wjI0HdQaF2kaThXJY86KP85jXGoy7H3S+y97hqG6jQZwY57GOb6K1zkVto8lCOaSjSRf5NT6efvlRSNf7wd3H3iGpes2QdkMY4bSOH/ceI1knF6xVNFkohzR3+3HudVmLs8m1TEWuaoYe4/DKu8BgtvDtTp1csDbRZKEcTm5ePouijzDafZ1lfiItm1pzhFwHDdsxwXMN87Yf08kFaxFNFsrhrD+QSLdLmwjIS4JrJtg7HFWYCHQfS5vcQ3icjSUuIdXeEakqoslCOZw5248z1n0VJiAU2gywdzjq97rcg3Hz4SHXVTq5YC2iyUI5lDMXMkn8ZSsRZj/SY7yWTa2J3H2RLvdyq/NWNsbuJyNbJ4muDfSdphzK/JgEHnBaQb6rF3TVsqk1VvexuJgchuSuZvnuU/aORlUBTRbKYeTnG1Zu38Uw5yicIkaCRz17h6SKE9QOE9qXUW5r+Gb7EXtHo6qAJgvlMKLik7gudSmu5Og8UA5Auo+jsUnE5+gajiZdtHc4qpI0WSiH8eXmgzzouoa8Vv2gYVt7h6NKc9Ut5Pk0ZbTLDzrQXQtoslAOIeH8JXx+WUQQyTj3mmjvcFRZOLvg3PsxejvtZe/2deTk5ds7IlUJmiyUQ/gi6jCPuHxHTmAHaHOTvcNRZdXtIXJc/bgrawFL43Sg25FVew1upcorMyePs9sX0UZOwvUvO8Tssvn5+WRcTCEj7TwZ6SlkXDhPVnoqWRcvkH0xDZObi8nPIz8/F5ObR35eHph8RAQnV3ecXF1xdnPH2c0dFzcPnN08cPeth09AEN7+gfjUa4irm4e9f8zSufvics14Bm36N4/+uIFhEfcgDvD7U3+kyULVeIt2JDAqbyGZfi3w6DDcbnHk5mSTmPAL544eIDUhnksnj5Nz7hwmJRWnCxdxTruEe1oWnhdz8MowuPyu18XF+vCu4PkNkGZ9AGS5Qqa7E1mezmT5epDj743x98WpQX3cAhviGdQEvyYtCQrtQGBwGM7O9nm7S88J5G35Lzecm8tPhwfSs1UDu8ShKkeTharRcvPyiV67gHudfsVc/xbY8AMvPz+fpFPxnNgfzflDe7l0JB4STuF2NhXv85n4peXhbCxvmgbWR64TXPRyItPbhSwfdy42CyC9ni9Szw9nH2+cvLxx8fbBxcsHN28fXL39cPf2xdnVHSdnZ5ycnBEXF5ydXXFydsHk55GbnUVudia52ZnkZWeTl51JblYG2ekXyE5LJTftArlpFzDpFzEXLyHpl3BJvYjP8SS8957BO/PK+ZiSgTPOkOLvwqX63uQGBeDUpBGeLVrSoG1nmne8hoCGzW32uuLTELrez50xs/n72s30bDXUdudSNiO1daKvyMhIEx0dbe8wVCV9u+M4bb69lVY+OXg9vRNc3Ct9zNycbBJ+ieFEXBQX9u0mP/4oHqeSCUjMxLPQrNr5AskBLlxs4E1uw3pIUCDujZviExyCf/PWBLVsj39Qc5xq2F3k2RmXSDodz/lTR0g9cZj040fIPpkAp8/hdi4Vn6QM/NLyrxiwvOAtpAZ5k90sEJeQFviFdaB51z40a9O1an6+CyfJeTuC73MiuerROXRo6lf5YyqbEJEYY0zk75dry0LVWLl5+exeOYvhTkfIHzijQoki5dwJDv20knOx28j9NR7PY4k0OJ2Bey7Ux/JICnAhrYkfJzuE4NayJX6t2tKobQTNWkfg5ulV5T+Xrbl5etEktBNNQjsVu012xiUSDu3g9L4dXDi4j9yjx3BLSCQw9hj1Nh0BNpDODHa6Q1JTH7JDm+DRrj1B4d1p1bUfPvXK2ZXk15S8Ho9y+9a3mfLd90x55L5K/Yyq+mnLQtVYX2/czQ2rb8PHvyG+k6LAybnE7dNSzvLL1hWc2xlF7t4D+MYn0jApp2B9iq8TqU39yA1thtdV7QjqFElIeB986gXa+kdxKCnnTnA0bjOJu7aTeeAAbodPEXgivaDVlQ8kBrmR3qYx7p0707RHX8Kuvqn0xJqRQua/w/k5uwlOo5fSPVRf95qouJaFJgtVI51Lz2LttPu5k1XIw6uQ5t2vWJ+fn0/CLzH8unEZF2Oi8dl3jIZnsgu6VpLrOZMa2gBpF0aDrj1o3WMADZqEVv8PUktcfr2Px24idffPsP9XGhxOwu+i5fMj2xnOBnuTdVULfCOupm2/4UW2bLK3z8Zt6RO85zmBcc+8jptLzerCU7UgWYjIYOAdwBmYaYyZWtL2miwcV36+4cP3/sWjSa9zPnwcAXdMIzcnm4PRqzi+eRU5O+Oo/8sZ/NMslxtdcoezretjOoZRv2sPWl8zkIbN2tj5p6j98vPzOXFoJ4e3riRt5w5cDxwl6Hga7tbG3Ln6LqS2a4ZX90haX38bzdt1x0mEpA9vw+vUT8zp8D6j7x5h3x9C/YFDJwsRcQZ+AQYACcB24F5jzN7i9tFk4Zgys3NZNPvfDDn6Bj+bNqS7dYaf9xH0azJeWZZtzvs5k9yuMe4RXWjeZyBtuvbDxdXNvoErAHKyM/ll+0oSNq4kb+cuGv6SiE+G5TMmxdeJ5HaNcevcDr9za2npdoGoq6cxbPg9ODnpvRc1haMni17AFGPMIOvz5wGMMa8Xt09Fk8WnD/8Dk1t032u5/5wr89L+bl+p1MHKf77yqNrXxeCaY3DPloLjZno4kePvjWuDQHwbN8fbt36F4lTVL98Y0pNPk37mBHnJybinZOCWa/kDyBfIdDfkuQj5zk62/guvU+56ZwK+/v4V2tfRr4ZqBhSeiSwBuOb3G4nIeGA8QIsWLSp0IpPTmDznhmXfwYH+IbLrm7Ecr1Oml5Dm4oqTmxuuHl6WexCAPAMppyDlVIrNwlS24AkubXAKgpwgQ0ZuDrlZGeRnZ0FOLpJvEM0UVSo3J7PKj+koyaKoj5o//HkZYz4CPgJLy6IiJ3r488cqsptSStVqjnIpQgJQ+BbTYOCknWJRSqk6x1GSxXYgTERCRcQNuAdYYueYlFKqznCIbihjTK6IPA6swHLp7KfGmD12DksppeoMh0gWAMaYZcAye8ehlFJ1kaN0QymllLIjTRZKKaVKpclCKaVUqRziDu6KEJFE4GgFdw8EzlVhOFVF4yofjat8NK7yqY1xnQMwxgz+/YpamywqQ0Sii7rd3d40rvLRuMpH4yqfuhaXdkMppZQqlSYLpZRSpdJkUbSP7B1AMTSu8tG4ykfjKp86FZeOWSillCqVtixUuYiIA03Kroqjv0dVXnUyWYhIk5r4ZhGRpiLibu84fk9EOovIcwCmBjVFRaSxvWMoiog0sncMRRGRq0TkZqhxv8eWIlKxAjQ2JCIe9o6hKPb6/KpTyUJE3EXkA+BH4CMRucPeMQGIiI+IvAUsB2aKyH3W5Xb9/YjFNOB/gIuIuNoznstExFNE3gZ+EJH/iMgwe8cEBb/H/wDLReTDGvb39W/ga6DG1J+1/h7/g+XvfraIPGpdbu+/e28R+Qh4UUQaWJfZ/Z9Le39+1alkAQwFmhhj2gLfAy+JSFt7BiQiTYHPsLyJrwUWA5f/i8+3X2QANASaAN2MMa8aY3LsHM9lE4GGxpgI4FvgNRFpY8+ARKQZ8AWW99QtWN7Qb9gzJgAR8QMWAn2MMVcbYxbbO6ZCngCaGmM6AFOAJ8G+f/fW1sRLQB/AF+hnjakmtMTs+vlV65OFiPgUemqARADrm+YH4BERqVix2srF5Wv9NhV4xhjzuDEmHWgEfCsiDa3bVevvqFBcAPWAMGNMtogMEpFnRWRQdcZTKC4f61dnIADLmwVjzI/ARSz/BdazR2xWmcBMY8wkY8xpYB4QKyLhdozpclxfAHsARORaERkoImHW59X+GSAiztbzChBnXdwUWCoi7ao7HmtMXtZvs4APgL7AQaCbiLS2blPtrYua9PlVa5OFiLQRkXnAZyIyRES8gQzggvW/eYA3gauBjtZ9bP7H8Pu4AFdjzFER8RKRScBkwBvLG6eDMSa/muOaZX296gPpwGYReQn4C5YPnrdFZNTv/oirI67ZInKrdXEacI2IdLEm1f1AW6CVdZ/qeL2uEpEZIuIJYIxJAtYX2qS5NZ4Dto6llLiygbWAEZHTwGvAAOBHEelYjX9fBXEZY/KsrYeTQAsR2Qj8C8vvdbWIDKiuD2YRCRORz7F06wwFfI0xh4wx54B1gAd2aF3UxM+vWpksrP+1vA3swvJf1f+3d6ahVlVRHP+tl0NqZdmXotGoKKy0GTVNGoyG12DTa4ImK+2DllopWdlARaNhRdhAZTNh0AQWFM0TDSIZJRaFaESRkdmg/vuw9vUeru91e/nO8Gz94XDO2Xs/zu/tc+5Ze6+z99rHANOBV4HdgMFm1kvS97i74BLI/2Fo4HoEd1dcl7JXAi9L2k7SZLzVMLMErkeBo4Fpkpbia56MBC6VNAuvx1baXxc9T65H8Pt4LXAb3pu4EngF98XPA8ZBIfV1EF5PFwCXpjSTtCJTrBfwjaQ/8mRpxpW0FP/udKukgyVNAe7H67GU+kqagzdClgIHSLoauBG4pIgXs5mdhbt938UNaitwfC1f0nzgc2CQme2bN0+Gq5LvLyRtcBuwDf4gbpQ5/wA4EDgZeAh/OEmVPxtv4ZfB9S5wbDo36nNfdsL98X1K4nofNxKD8RfyuZnyr+G+5rK4RqfzgcCAdHwi/pKhVoc5cu0O7AHsDCwCdminTBtwSzoeC+xVQH01cu2Yydu4oewu+LeMjcviSs/7NsAdwE4prTfeQ9uyAK7RQGvm/Gbgoa+BAwAABcJJREFUonTcI+23xxsl4/Fe/8gCuCr5/togexaSlgD74d3t2vk9wAxJzwBfAlPNbBLwJLBYBXy87YDrXjItA0kys6HAg8A7klaWyDVd0mf4jNBWM5uaXAYLgJ9K4robmJbOv5b0k5mNxFus36X0XFtYkhYCiyQtwg3ptbCO//9QYEszexY4HXfh5ap2uGYkLpO09vpmNgx4AHgvm140V7pPy3DDNdbMzsaXTv4Q/5aXN9c8YJ6Z1VYM/R3/doKkVWn/LbAJcD3eACjruS/9/ZWrJSrAAq/T6qZujc8G3sqkb45/dNwfb9GMwN08Z1aA64nE0w//IX0CnFIBrqeAYel8EDAJaKsA1xOkFh7eo/gKOL0IrkxerQe4Kd5aPrQh/2X8o/JJVeHCX3qXA58Cp1aIay+85f5iUc9XB+UeA8Y0pO2Pu8nOyIFrALBZto6o92hKe391yFvUhXKo6JuA54G903lLQ/5GuB9yYibtYWCPKnMBQ6rIVeH62rwMrhpb2k8EXkjHp6Uf86gKcvUAdq0gV26u1n/J1QL0BebioxENOALonSPXdGAh3jO4ppGtrN/jP23d0g1lZufjN/MrYAysOzZb0mpgCjDBzI43szNxv2luY7jXk6uW/2nFuKpaX0r5P5fBlbQm5d0JDDez5cBh+Evm9Qpy9ZT0ZcW4DiHN/yyLK6X1T9vR1L/XdTmX+YS/W/BneBRwFTDRzHZUZmRaGb/HpirLSv0HSzwgc7wFsC1+Q+8DjkrplinTkvbH4a6dN/CJScEVXOvNlSnbHx/COB8YHlzdlqsVfxE/DYzIiwvv3Y0iuZtS2mwyA0hSWiHPfaf+hzIv/i8ruT8+zO8d3K85qCFvAnAXyfdH3Tea94iY4Pofc2XKtJDDSKfgKpyrH3BhzlwXk9yAqR4MH2L9Gg3u57yf+/+ydQc31FTcf3ce3lJYG6td0nJ86KkBJ6U0ZffBFVx5cGXKrJGPxw+ubsplZi2SVki6rwCuh9L11+C9jL/wWeNLsn9UwHPfaVXWWJirNqTtMUkLJd0A/GlmMzJFF+CWeU8zm2Jm4/KcyRhcwRVcGxaXcohF1QHX9Vku+XDXgcAqST+Y2Rgza+tqlq5SZY2FXKvwcc/Z2ZPjgfFmtkUq9xveYmjDZ4guztMqB1dwBVdwdRUXPpeir3nIkcvxeSfVlCrgC2tvo/6BZx88eFafTN5s4DLVfYKLgcnBFVzBFVzdhGtqOr4C+B4YWwTX+mylL6tqvqjOamCmMrMQLUWllLTazJ4EVko6J+VNBpZJmpPOe8kDpgVXcAVXcHUbLjPbG/hCBURqWG+VZaWAPnjYhiXAR8DgTF526ORAPF7Mm6l8Gz7sbkxwBVdwBVc35erymf15b8VfsD6d3fDFfnrgYZNvx8MD18pthUcafQ/oCQwBzsWji54YXMEVXMEVXMVtxV3IK/VWPJ7J4bUKT/ut8ZEKozNpo4FxwRVcwRVcwVX+VsxF3Arfg4fdPQOPPHkxmdgreLyYx2kn9DUppkxwBVdwBVdwlbMVcxHYDJ/BuGk6P4KGiIl4V20uvs7swcAJtRsVXMEVXMEVXOVuhcyzkPQL8A0edhfgbTwM91Az2yqV+Qt4CY/N8gD1QHEKruAKruAKrnJV5KS8ucAQM9ta0q/4iIA/cH8fZjYYXwToTkk7S3ouuIIruIIruKqhIo3FW8CPJOss6WPgADyOPPji7SMkXVEgU3AFV3AFV3fmKkw9mhfpGklaambPATeZ2SJ86cTfgdryhT8UxRJcwRVcwbUhcBWpwmdwm9mR+KLjw4BZkmYVCtCBgqtzCq7OKbg6p+CqnkoJ92FmPfFvP6sKv/g/KLg6p+DqnIKrcwquaqn02FChUCgUqr4qG6I8FAqFQtVRGItQKBQKNVUYi1AoFAo1VRiLUCgUCjVVGItQKBQKNVUYi1AoFAo1VRiLUCgUCjVVGItQKBQKNdXfKe5kuk8TUpYAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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Rg5iUUk6k9SyavkqThTHm4krWrQfW1+KYB4GBIuKDvRtqFBAP5ACTgOmO+/mO7RcAH4vIv7F3g0UDa2txXKVUE6b1LFyrWgPcIuJujCn8w7IwY8yJmh7QGPObiMwFNgBFwEbsrQE/4HMRuR17QrnWsf02Efkc2O7Yfqoxprimx1VKKVV7VY1ZjADmAJ4ishG40xiT6Fj9A9C3Ngc1xjwJPPmHxfnYWxnlbf8c9gFxpZRSLlDVdRYvAqONMa2wf/tfIiIDHevqdiWMUkqpJqOqbigPY8w2AGPMXBHZAXwlIo9QwRlJSimlmp+qWhaFItK25IkjcYzC3oUU7czAlFKqtqZNm8aMGTPqbX+33npr6ZXkd9xxR+ncUF988QXdu3dnxIgRANx4443ExMSUXsDXnFTVsngEaAMcLVlgjEkSkQuBvzgzMKWUaozeeeed0sfvvvsur7/+OiNGjODo0aOsWrWKAwcOuDA656nq1NkfK1iegQ44K9UkHX3+efJ31G89C8/u3Wj72GMVrndmPYuZM2cya9Ys3Nzc6NGjB59++ukZ699++22++uorevXqRUREBPfffz8Ajz/+OG3atCmtpleWMYZ7772Xn376iaioKMrOdDF8+HBmzJjBwoULWblyJfv372fcuHEsXryY48ePExsby3/+8x/+8Y9/MGPGDOLi4jhx4gRxcXEkJiaybds2Jk+eTEFBATabjS+//JLo6Gg+/PBDZs6cSUFBAQMGDOD111/Ham080+BVayJBEanwegullKoOZ9WzmD59Ohs3bmTz5s1nzdH03//+l2+++Yavv/6aqVOnMnv2bMA+c+ynn37KhAkTyt3nvHnz2LlzJ1u2bOHtt99m1apVZ23zz3/+k7i4OD766CNeeuklFixYwDnnnENCQgJDhw6tMN5Zs2Zx//33k5CQQHx8PBEREezYsYPPPvuMX3/9lYSEBKxWa60mRXSmKq+zEJFJ2Kf7WOL8cJRSzlZZC8CZnFHPAiAmJoYJEyZw5ZVXcuWVV5YunzNnDhEREXz99de4u7sTGRlJaGgoGzdu5NixY/Tp04fQ0NBy97lixQpuvPFGrFYr4eHhjBw5st5+DxdccAHPPfccSUlJXH311URHR7N06VLWr19fOmlibm4urVu3rrdj1oeqrrN4DLgYuLxhwlFKNVc1rWcRHx9Phw4dmDZtWoX1LAC+++47VqxYwYIFC3jmmWfYtm0bAL169SIhIYGkpCSioqIA++D0Bx98wNGjR7ntttvqJd6KlK2TUTb+m266iQEDBvDdd98xevRo3nnnHYwxTJo0iRdeeKFOx3SmqrqhngRuN8acaohglFLNlzPqWdhsNg4dOsSIESN48cUXSU9PJzs7G4A+ffrw5ptvMm7cOJKT7dPJXXXVVXz//fesW7eu0unMhw0bxqeffkpxcTFHjhxh2bIazZcK2OfDWr/ePiNS2Z9h3759dO7cmfvuu49x48axefNmRo0axdy5czl+3D4lXlpaWqMbKK+qG2oyMFdELqnN1B5KKVXCGfUsiouLmThxIhkZGRhjePDBBwkKKq10wJAhQ5gxYwaXX345S5YsISwsjBEjRhAUFFTp4PFVV13FTz/9RO/evenatWtp2daaeOihh7juuuuYM2fOGd1Yn332GR9++CHu7u60bduWf/7zn4SEhPDss89yySWXYLPZcHd357XXXqNTp041Pq6zVFnPQkRGAk8bY4Y0TEj1Q+tZKHWa1rOws9ls9O3bly+++ILoaL1UrCb1LKo8G8oY8xNwd/2Fp5RSDW/79u106dKFUaNGaaKohWrNOmuM0fJWSqlaawz1LHr06MG+ffvOWLZlyxZuvvnmM5Z5enry22+/1SnW5qi6U5QHAbcAkWVfY4w5+2oWpZRyAmfUs+jduzcJCQn1vt/mqFrJAlgIrAG2ALWuva2UUqppqm6y8DLG/NWpkSillGq0qjXdBzBHRKaISDsRCSm5OTUypZRSjUZ1WxYFwEvA45yuY2GAzs4ISimlVONS3ZbFX4EuxphIY0yU46aJQjVrxhgOpp5iwaZk3vx5L/9Zupt3V+5n2e/HScnKd3V4qpFITEykV69e1d5++PDhlFwDdtlll5Geng7YZ8/t3r07EyZMID8/n4suuojY2Fg+++wzp8RdU9VtWWwDdMoP1SJk5Bby2bqDfLruEPtScircrk/HIP7UL4Jr+kbg5d54ppJWZysqKsLNrbofdw1n4cKFpY9ff/11Fi1aRFRUFGvWrKGwsLBRnalV3d9eMZAgIsuA0q9Ueuqsak6KbYaPfjvAy0t2cfJUIXGdgpk0LpL+kSF0CPHG291KVl4Re1Ky+W1fKt9tOcrj87by7x928ddLunJD/45YLY2/NP0vn+/ixKHset1nWAc/hl7XtcL1zqxnsW7dOm6//XZ8fX0ZMmQIixYtYuvWrXzwwQd899135OXlkZOTw9y5c7ntttvYt28fPj4+vPXWW8TExDBt2jT8/Px46KGHAPsEhCVTol966aUMGTKEVatW0b59e+bPn4+3tzfr16/ntttuw8fHhyFDKp/cIjc3l8mTJ7N9+3a6d+9Obm5u6brIyEji4+N54okn2LdvH+PGjWPixIm8/fbbpKSkEBsby5dffsmoUaOIj48nLCyM+Ph4HnroIZYvX87PP/9cWp9DRFixYgX+/v689NJLfP755+Tn53PVVVfx1FNP1ej/szzV7Yb6Gnuxo1XA+jI3pZqFY5l53Pzub/xz/ja6twvg23uHMPeeQUwaFEmP8AD8vdxxs1oI9vWgf2QIfxkZzcL7hvDpnQM5p7Ufj8/bytWv/0riiYpbIi2ds+pZTJ48mVmzZrF69eqz5ntavXo1s2fP5qeffuLJJ5+kT58+bN68meeff55bbrmlyph3797N1KlT2bZtG0FBQXz55Zelx5w5c2bpxIiVeeONN/Dx8WHz5s08/vjjpZMLljVr1izCw8NZtmwZDz/8MO+88w5Dhw4lISGBc845p8J9z5gxg9dee42EhAR++eUXvL29+eGHH9i9ezdr164lISGB9evXs2LFiirjrEpVU5S/BSwCvjLGZNX5aEo1QjuOZDLpvbVk5hXyr2t6c11ch2pNTy0iDOwcymd3DmTBpmT+OX8bY/+zkunX9GZsTHgDRF47lbUAnMkZ9SzS09PJyspi0KBBgH3677KJ5eKLLyYkxH7i5sqVK0s/7EeOHElqaioZGRmVxhwVFUVsbCwA/fr1IzExkYyMDNLT00snF7z55ptZtGhRhftYsWJFaTW+mJgYYmJiqv5lVdPgwYP561//yoQJE7j66quJiIjghx9+4IcffqBPnz4AZGdns3v3boYNG1anY1XVDfUeMAb4q4gUAD8A3xtjNtXpqEo1EvGJaUz+YB1+nm7MnzqEc9v613gfIsL42PbERYZw3ycb+cvHGzmYdop7LjynzjURmhNn1LOoaiJUX1/fSrcVkTPqTpQcv4Snp2fpY6vVSm5uLsaYGv+/Oqs2xiOPPMLll1/OwoULGThwID/++CPGGB599FHuuuuuOh3zjyrthjLGrDHGTDPGDAWuAw4CfxORjSLynohcV6/RKNWAtidnMvmDdbTy8+TLewbVKlGU1T7Im4+nDOCK88J58fudPP3t9io/zFoSZ9SzCA4Oxt/fnzVr1gCcVX+7rGHDhpWWKl2+fDlhYWEEBAQQGRnJhg0bANiwYQP79++v9OcICgoiMDCQlStXAlRZ/rTscbdu3crmzZsr3b48ZWtjlLSOAPbu3Uvv3r15+OGHiYuL4/fff2f06NG89957pXU9Dh8+XFonoy6qfXqAMSYV+MRxQ0T6YW911Jhjrql3gF7Yr9e4DdgJfIZ9/qlE4DpjzEnH9o8Ct2MfaL/PGLO4NsdVqsTh9Fwmvb8WP0835twxgPAg73rZr6eblVevjyXMz4P3f03Ew2rhkUu7aQsD59SzAHj33XeZMmUKvr6+DB8+nMDAwHK3mzZtGpMnTyYmJgYfH5/SetzXXHMN//vf/4iNjaV///6l3WKVef/990sHuCsrogRwzz33lB43NjaW888/v8r9/9GTTz7J7bffzvPPP8+AAQNKl7/yyissW7YMq9VKjx49uPTSS/H09GTHjh1ccMEFAPj5+fHhhx/WuUxrpfUsRCQV+5xQq4BfgbX1UTVPRGYDvxhj3hERD8AHeAxIM8ZMF5FHgGBjzMMi0gN7gjofCAd+BLoaY4orO4bWs1AVyS8q5ro317D3eDZf/XkQXdvUrUVRHmMM/5y/jTlrDvDARdE8cJFrxglKNOd6FtnZ2fj5+QEwffp0jhw5wquvvlrvx2mOalLPoqqWRRQwEBiE/cO8n4jsw5E8jDGf1zQ4EQkAhgG3AhhjCoACERkPDHdsNhtYDjwMjAc+NcbkA/tFZA/2xFH1aQhKlePZb3ew6VA6syb2dUqiAHsf9VPjepJbWMwrP+6mU6gPV/WJcMqxWrrvvvuOF154gaKiIjp16sQHH3zg6pCapUqThTEmE/ug9g8AIuKLvdTqA8BfgBonC+xThKQA74vIedhPwb0faGOMOeI47hERKWkztcfeuimR5FimVI0t33mcOWsOcMeQKMb0alf5xqfS4OAaOLkfclLA4gY+YRAWDR3OB8/KE43FIrxwdW+STp7i4blb6BjiQ79OLXNKNWfXs7j++uvrtO/6sHjxYh5++OEzlkVFRTFv3jwXRVS/qjp1Nhx7q2IQUNJxuB54gtp/s3cD+gL3GmN+E5FXgUcqC6OcZeX2nYnIncCdAB07dqxleKq5yswr5NGvttCltR8PjT63/I2KC2HHAlj3LhxcDcZxlozFzf649Lk7RA6BfrdCt7FgLf+t5G61MGtiP6587VfumrOehfcNpXWAV/3/cNVQm7N4GhNn1LOoT6NHj65y/KIxqenJF1V1QyUBG4CXgUccXUZ1lQQkGWNKSlHNxZ4sjolIO0eroh1wvMz2Hcq8PgJILm/Hxpi3gLfAPmZRD7GqZuSFhb9zLDOPL+8ZVP70HLuXwPePQupuCI6EYf8HnUdAq3PBO9i+Tc4JOL4N9v4E2+bBF5MgOAoufgq6j4NyPoyDfDx4+5Y4rvjvSh74LIE5tw9o8Cu9vby8SE1NJTQ0tEknDFU/jDGkpqbi5VX9Ly5VDXBfAFyAvWURhf0spdWOW7xjHKHGROQX4A5jzE4RmQaUnAydWmaAO8QY83cR6Ql8zOkB7qVAtA5wq5rYkpTBuNdWcvvgKJ4Y2+PMlQWnYNHfYeMcCDnH/sF/7uVgqWKCA1sx7FwEPz0LKTsg6kK48g0ILL+X9PP4Q/x97mb+dnFX7h3VsDWgCwsLSUpKqvB6BdXyeHl5ERERgbu7+xnLKxrgrjRZnLWxSCRwBfYxhghjTK3a0yISi/3UWQ9gH/ZxEAv2MZCO2K/nuNYYk+bY/nHsp9cWAQ8YYyq+XNJBk4UqYYzh+jfXsDclm2X/N5wArzJvjsxk+PBPcHw7DHkQhj8Kbh41O0BxEax/H5Y8ae+OGv86dB9bbhwPfpbAgk3JfHH3BS12/EI1brVOFiLSjdPjFoOBYOwti1+NMTOcEGu90GShSizacoR7PtrAc1f1YsKATqdXnNgNc66C3HS47gPoclHdDpS6F768A5I3wKh/wpC/ntUtlZ1fxJhXVuBhtbDw/qE6W61qdCpKFpW2s0XkBPAFMAD4BbjCGNPWGHNVY04USpUothleWryTc9v4c31cmaGvkwdg9hVQlAeTv6t7ogAIPQcmL4Le18LSp+HbB8F2Zsl6P083/nVNDPtO5PDykl11P6ZSDaSqAe5zjDGVz7SlVCP2zaZk9p3IYdbEfrhZHd+Nck7AnCuh8JT9w71Nz/o7oLsXXP02BEbAypftZ1eNmwmW0y2IwV3CuGlAR97+ZR+je7Wlb8fg+ju+Uk5S1RTl94pIhX/JIjJSRM7unFWqESi2Gf7z0266tfXnkh5tHAuLYO5k+1jFTV/Ub6IoIQKjnoQLH4GED+Gb++EP3b2PXtqNtgFePPbVFoqKbRXsSKnGo6qWxRbgWxHJw34KbQrgBUQDsdin3njeqREqVUsLtxxhb0oOr93UF0vJqarLnoX9K2D8a9BxQOU7qAsRGFKpjrkAACAASURBVPEomGJY8RL4t4ORj5eu9vdy559X9ODuDzcwZ80BJg+Ocl4sStWDqq7gng/MF5Fo7IPb7YBM4EPgTmNMbmWvV8pVjDG8uWIv57Ty5dJebe0L9yy1dw31uxX6TGyYQEY8DllHYMWLEBAOcZNLV43u2ZZhXVvx7x92MTYmnFb+npXsSCnXqlalPGPMbmPMB8aYF4wxrxhjFmuiUI3ZhoMn2Xo4k8mDo+ytirwMWHAvhHWFMf9quEBEYOwr9gH0hQ/Bwd/KrBKmXdGDvKJiXli0o+FiUqoWqltWVakm5f1fE/H3cuPqvo4L5H74h/0b/pVv2AehG5LVHa55FwI7wOe3QNbR0lWdW/kxZWhnvtpwmA0HTzZsXErVgCYL1ewcychl0daj3NC/Az4ebnBgNWyYDYPuhYizTh9vGN5BcMNHkJ8Jn0+ynyXl8OcRXQjz82T6wt+1WJJqtDRZqGbnk98OYjOGmwdG2q9z+P4RCGhvPzvJldr0hHH/gUNr7IPeDn6ebjxwUTRrE9NYuqPuFc2UcoZqJQsR6SoiS0Vkq+N5jIg84dzQlKo5m80wd30SQ6Nb0THUBzZ9DEcS4KJp4OHj6vCg95/gvBvtyeLQ2tLF1/fvQOdWvkz//nc9lVY1StVtWbwNPAoUAhhjNgM3OCsopWpr9b5UkjPy+FO/CPsEgUufhoj+9quqG4tLX7RftPfVFMjPAuxTmT88pht7jmfzxfokFweo1Nmqmyx8jDFr/7CsqL6DUaqu5q5Pwt/LzX4RXvx7kH0MLn663KnDXcYrAK56E9IPwuLT115c0qMNcZ2CeXnJLvIKK51UWakGV91kcUJEzsFRdEhE/gQccVpUStVCVl4hi7Ye4YrzwvEy+fDrqxA1DDoNcnVoZ+s0CAb+2T7wnrgSsJ9K+7dLzuV4Vj6frD3o4gCVOlN1k8VU4E2gm4gcxl5W9R6nRaVULSzacpS8Qpu9C2r9B5Bz3PWD2pUZ8RgEdbRPB1JorzNxwTmhDOwcwhvL92rrQjUq1b0ob58x5iKgFdDNGDPEGJPo1MiUqqHvthyhY4gPfcJ9YNVMiBwKkYNdHVbFPHztF+yl7oFf/l/p4vtHddXWhWp0qns21PMiEmSMyTHGZIlIsIg86+zglKqujFOF/LrnBJf2botsn2+/AG/wA64Oq2pdRkHM9fZpSFLsU5Zr60I1RtXthrrUGJNe8sQYcxK4zDkhKVVzS3Yco8hmuKxnW1jzBoR2gXNGujqs6hn9PLj7wOJHS2en1daFamyqmyysIlI6y5mIeAM665lqNBZtOUL7IG9i2GWvVDfg7qpraDcWvmEw/BHY8yPsWgycbl3M+nkv+UXaulCuV91304fAUhG5XURuA5YAs50XllLVl5VXyC+7TzCmV1tk7ZvgGWi/8K0pOX+KfZLDxY9CUT4Afx7ehWOZ+czfmOzi4JSq/gD3i8BzQHegJ/CMY5lSLrdsZwoFxTbGdvGEHd9A7I3g6efqsGrG6g5jXoC0ffZuNGBodBg92gXw5oq92Gw6Z5RyrWq3040xi4wxDxlj/maMWezMoJSqieW/HyfYx53z0n+E4oKGq1VR37pcBF0vhRUzICcVEeGuCzuzNyWHpb/rnFHKtap7NtTVIrJbRDJEJFNEskQk09nBKVUVm83w864UhnVthWXTR9A2Btr2dnVYtXfxU1CYU3oq7eW929EhxJtZP+91cWCqpatuy+JFYJwxJtAYE2CM8TfGBDgzMKWqY2tyBqk5BYxrmwZHNjXdVkWJVudC7E2w7m1IP4ib1cKUoZ1Zf+Ak8Ylpro5OtWDVTRbHjDFayks1Ost3piACg7IWg8W9cU0YWFvDHwUElr0AwLX9OhDi66GtC+VS1U0W8SLymYjc6OiSulpErnZqZEpVw/Kdxzkv3B/vXQug62jwCXF1SHUXGAED7oRNn8Cx7Xh7WLnlgk78uOM4e1OyXR2daqGqmywCgFPAJcAVjtvYuhxYRKwislFEvnU8DxGRJY6xkSUiElxm20dFZI+I7BSR0XU5rmo+0k8VkHAonRvCj9mv2O5xpatDqj9D/gqeAfDTMwBMGNAJD6uF/61KdG1cqsWq7qmzk8u53VbHY98PlO3aegRYaoyJBpY6niMiPbDXzugJjAFeFxFrHY+tmoFVe1OxGRhRvAqsnvaWRXPhEwKD74WdCyE5gVb+now9rx1z1yeRmVdY9euVqmfVPRvKS0SmisjrIvJeya22BxWRCOBy4J0yi8dz+kK/2cCVZZZ/aozJN8bsB/YA59f22Kr5WLMvFV8PoXXS9/Y5lrya2TkX598FXoHws/2SpsmDosgpKOaLeC2OpBpedbuh5gBtgdHAz0AEkFWH474C/B0oWz+yjTHmCIDjvrVjeXvgUJntkhzLVAu3Zl8q17U7jmQmN68uqBJeATBwKuz8Do5spndEIHGdgpm9KpFivUhPNbDqJosuxph/ADnGmNnYWwW1OpldRMYCx40x66v7knKWlftOEZE7RSReROJTUlJqE55qIlKz89l1LJtx7uvsZ0GdO8bVITnHgLvs05essLcubh0cycG0UyzTi/RUA6tusijpJE0XkV5AIBBZy2MOBsaJSCLwKTBSRD4EjolIOwDHfcm7IQnoUOb1EUC5k+UYY94yxsQZY+JatWpVy/BUU7B2v/2ag25ZqyFqqL27pjnyDoKB99inMTm6ldE929I2wIsPdKBbNbDqJou3HGcn/QNYAGzHfqFejRljHjXGRBhjIrEPXP9kjJno2O8kx2aTgPmOxwuAG0TEU0SigGjgj/XAVQuzZl8q0e4n8M7YC9GXuDoc5xp4t/3MqBUv4m61cPMFnVi55wS7jtWlJ1ipmqnu2VDvGGNOGmN+NsZ0Nsa0NsbMqudYpgMXi8hu4GLHc4wx24DPsSeo74Gpxhids7mF+21/GhND7cWCmn2y8A62d0dtnw8pu7jx/I54WC18uOaAqyNTLUilyUJEJjru/1rera4HN8YsN8aMdTxONcaMMsZEO+7Tymz3nDHmHGPMucaYRXU9rmraMnIL+f1oFsMsCRDSGULPcXVIzjfgbnDzgtX/IcTXg8t6t2XehsOcKihydWSqhaiqZeHruPev4KZUg9uclI4nBXTMiG/+rYoSvmH2ea82fQpZR7lpQCey8ov4ZpPWulANw62ylcaYNx33TzVMOEpVbePBdAZYfsdanAddLnZ1OA3ngqkQ/x78Nov+o54kurUfH/92kOv7d3R1ZKoFqDRZiMjMytYbY+6r33CUqtrGgye5zH83FLpDp0GuDqfhhHSGHuNh3XvIkL8yYUBHpn2zna2HM+jVvpmeDaYajaq6odY7bl5AX2C34xYL6CCzanDGGDYeSmeQZTtExIGHj6tDaliD7oP8DNgwm6v6RuDlbuGj3w66OirVAlSaLIwxsx0X4UUDI4wx/zHG/AcYhT1hKNWgElNPUXQqg4i8XRA51NXhNLz2fe0/9+rXCXQ3XBETzvyEw2TpfFHKyap7nUU4Zw5o+zmWKdWgNh48SX/LTiymGCKHuDoc1xj8AGQlw5YvuGlAR04VFDM/QQe6lXNVN1lMBzaKyAci8gGwAXjeaVEpVYGNB9O50H0HxuoBHVrofJJdRkHrnrDmdWIjAunRLoCPfjuIMTpflHKe6l6U9z4wAJjnuF3g6J5SqkFtTc5gmPvvSMT54O7t6nBcQ8R+kd6xrcjBVdw0oCM7jmSyKSnD1ZGpZqy6LQuAfOAIcBLoKiLDnBOSUuUrthkOHTlGVNFeiBzs6nBcK+Y68A6BNW8wPjYcL3cLn8cfqvp1StVSdetZ3AGsABYDTznupzkvLKXOtv9ENucW70Iw0GGAq8NxLXdv6Hcr7FyIf24yl/VqxzcJyeQW6EmKyjmq27K4H+gPHDDGjAD6ADoHuGpQ25Iz6SN77E/a93NtMI1B/9sBgbVvcW1cB7Lyi1i87airo1LNVHWTRZ4xJg9ARDyNMb8D5zovLKXOti05kzjrHkxYN/vU3S1dYAT0GAcb5jCgvQcdQ3y0K0o5TXWTRZKIBAFfA0tEZD4V1JRQylm2HU6nr3UP0iHO1aE0HgPugfwMLFs+49p+Eazam8qhtFOujko1Q9U9G+oqY0y6MWYa9poW73K6RrZSTmeMISt5JwEmCyJa6Cmz5elwPoT3gd/e5Jq+4YjAF+u1Rreqf1UmCxGxiMjWkueOmhYLjDEFzg1NqdOSM/KIzt9hf9JSr68oj4h9+vITuwhPXcPQ6FbMjT+kNbpVvasyWRhjbMAmEdGpLZXL7EjOpI9lN8Xu/hCmw2Vn6HkV+La2D3T3iyA5I49Ve0+4OirVzFR3zKIdsE1ElorIgpKbMwNTqqw9KdnEWPZhwmPBUpPLg1oAN0/oewvsWszF7QsI9Hbn83jtilL1q9IpysvQehbKpfYfS+c2yyHc2o91dSiNU79bYeW/8do0hytjr+KTdYdIP1VAkI+HqyNTzUS1xiyA1xxjFWfcGiA+pQAoPLIdD4qgnU52XK6gDhA9Gjb8j+v6tKGgyMYCraKn6pGOWahGzxiD78nt9iftznNtMI1Z3G2Qc5yemb/QvV0AX+pZUaoe6ZiFavTScgroXLSXQqs3hJzj6nAary6jIKgjxL/HNX3bsykpgz3Hs10dlWomdMxCNXp7U3LoaUnkVHAPAnVwu2IWK/SbDEuf4qrhOTwvMG9jEv83upurI1PNQHUvyjtrvELHLFRD2Xc8kx5yAEu4dkFVqc/NYHEndMdHDI1uxdcbk7HpNReqHlSaLEQkS0Qyy7lliUhmQwWpWraTSb/jJ3n4RvZ1dSiNn18r+3xRmz7m2pgQDqfn8tv+NFdHpZqBqmpw+xtjAsq5+RtjAhoqSNWyyZHNAFh0cLt64m6HvAwuMavw83Tjqw060K3qrsE7gEWkg4gsE5EdIrJNRO53LA8RkSUisttxH1zmNY+KyB4R2Skioxs6ZuVaPhm7KMYCrfTK7WrpNAhadcdj4/tc2qsti7Ye1ToXqs5cMVpYBPzNGNMdGAhMFZEewCPAUmNMNLDU8RzHuhuAnsAY4HURsbogbuUC+UXFtM5LJMO7g/1KZVU1EftptMkbmNjpJNn5RfywXetcqLpp8GRhjDlijNngeJwF7ADaA+OBkrreszk9q+144FNjTL4xZj+wB9CZ5FqIA6mniJYk8oKiXR1K0xJzHbh5E3NsPuGBXszbeNjVEakmzqXnIYpIJPaqe78BbYwxR8CeUIDWjs3aA2UruiQ5lqkWYP/RNDrJMdzadHd1KE2LdxD0vBLZOpdrY0JYsSuF41l5ro5KNWEuSxYi4gd8CTxgjKnszCopZ1m55wKKyJ0iEi8i8SkpWvW1OUg7tAM3sRHQsberQ2l6+k6C/Exu8t+AzcCCBJ3+Q9WeS5KFiLhjTxQfGWO+ciw+JiLtHOvbAccdy5OADmVeHkEFVfqMMW8ZY+KMMXGtWrVyTvCqQRUcsU/z4RXew8WRNEEdB0JoNG12f05MRCBfbdCuKFV7rjgbSrBX2tthjPl3mVULgEmOx5OA+WWW3yAiniISBUQDaxsqXuVanid3Y8MCoV1cHUrTI2KfuvzQGiZH57H9SCa/H9XLo1TtuKJlMRi4GRgpIgmO22XAdOBiEdkNXOx4jjFmG/A5sB34HphqjNHzAFsAYwwhOfs46RkO7t6uDqdpOu9GsLgzpmAJbhZhnrYuVC1Vd26oemOMWUn54xAAoyp4zXPAc04LSjVKKVn5RJpD5AR0JdTVwTRVfq2g22V47/iCi7qO4+uEw/x9TDesloregkqVT2dlU43WvmPpRMlRpLVOhFcnfSfBqVTubL2TY5n5rN6b6uqIVBOkyUI1WikHtuMuxfhF9HR1KE1b5xEQ2JHzUubj7+mm11yoWtFkoRqt3ORtAAR27OXiSJo4iwX6TMS6fzkTzjV8v/WITv+hakyThWq03FJ3YUOw6JxQdddnAoiFiZ6/kFNQzJIdx1wdkWpiNFmoRisgex9p7u3Aw8fVoTR9gRHQ5SLaJ35FhwB35ulMtKqGNFmoRim3oJiIwgNk+mkZ1XrTdxKSlcz9UQdZsfsEJ7LzXR2RakI0WahGaf/xDDpLMrZWXV0dSvPRdTT4tmZM/g8U2wzfbtLpP1T1abJQjdKxAzvwkGK8w/VMqHpjdYfYm/A78COD2xQxT+eKUjWgyUI1SjmH7GdChUZpdbx61fcWMMU8ELqWTYfS2ZuS7eqIVBOhyUI1Tid2AODVVi/Iq1eh50DkUPqkfotVbMzXay5UNWmyUI2SX+ZeUqxtwNPP1aE0P31vwS0jkdsjkpmXcBhjyp3xX6kzaLJQjY7NZmiTn0i6b2dXh9I8dR8HXkFM9PiZQ2m5bDh40tURqSZAk4VqdI6m59CZZApDtJSqU7h7Qcz1dDj6I23cT2mdC1UtmixUo5O8fweeUohHuE7z4TR9b0GK8/m/dpv4dvMRCopsro5INXKaLFSjk3lgEwAhkXomlNO07QXhfRmTv5iM3AKW7zxe9WtUi6bJQjU6tmP2UqrBnbRl4VR9b8EvYxfDfA7ydYJ2RanKabJQjY5Pxm6OWtsieiaUc/W6Btx9uD94NT/uOE5GbqGrI1KNmCYL1agYY2iTt480X6257XReAdDzamIzl+JWdIpFW464OiLViDV4WVWlKpOSnklHc4TtIZc0+LFPFZ7i2KljZORnkJGfQWZBZul9TmEOBcUFFNoKyS/Op6C4gAJbAQBWsWIRyxn3Xm5e+Lj54Ovui4+7D95u3vi6+xLoGUiIV0jpzcPq0eA/5xn63oI14UNuDdrIvI3h3HB+R9fGoxotTRaqUUnes5XWUoxX+971vu9CWyGHsg6RmJFIYmYiBzMPcjTnKMdOHeNE5lHIzMI7H7wLwLvA4FUA3vngUQSe4o4HbnhgJQAr7lixWKwUW4Uii6HQCkUWKLAa8q2G4+6FpFsLOOmWT64nnPKEYuvZda/93P0I8QohzDuMtr5tCfcLp51vO9r5tit97OPuxCnaO5wPYedyc/7PvL7/Ag6n59I+yNt5x1NNliYL1ahkJcYDEHZO3zrtJ7col51pO9mWuo3tx7aQvHcTRUmHaZVWTOt0Q1gmnJfnxsgcC/45Nrxyquqvz3fc6sDTExPgS2GQH/mBXuT4u5PpZ+Gkt41jXmkkeh4g3jOdFN8ijOV0Ygn1CiUyMJLIgEiiAqOIDIgkMjCS9n7tcbPU8S0sAv0m0W7xY0RLEl9vPMzUEdoFqM6myUI1KpK8gWy8CanhmVAFxQVsStnE+n0rObzuZ2y79tLxaDGdjhtuTAVrmcsIjIc7bm3b4NGqDW7RobiFhWINC8MtJASLrx8WX98yNx8snp5gdUPcrGCxIFYrWKyAwRQWYgoKoajQ/riwEFtePracbIqzsrBl52DLynI8z6Y4LY2i1FSKUk8QfDCForQ0KCo684exWrG1Cia/VQBZIZ4cCzAc8D3GNp/f+cE/myxvQAQ3ixtRgVF0De7KucHn2u9DziXMO6xmv/SYG2DJk9wXvJpXN3bjz8PPQeTsVpBq2TRZqEYlLGMrSV7n0s1a9Z9mXlEevyYuZ/sPn1G8diNdEvMZegwsjqmOisOC8OrWDf/uvfCMjMS9Qwc8OnbErXVrxNI4zu0wNhvFGRkUnzhB4dGjFB5OpjD59M1/ZzKtjx2jtzGMLXmNvy954SGktfbiYGAe231/4Qu/b0kOtXd1hXiFlCaQHqE96B3Wmwj/iIoTgG8odB/LxbuW8be0K9mWnEmv9oEN9jtQTYMmC9VopGdm0rl4P1taTax0u13Ht7Pq81ex/LSaXnsKuagAit0sFPWIJnD8UILOH4RXjx64BQc3UOS1JxYLbsHBuAUH4xld/vQmprCQwuRkChITKUhMJH//fgoSD+C/az/tjx3jgpLtrFbywoM53s6TPSG72eS/lkWhxaQEQYBXED1De9IztCe9wnrRK6wXrX1anz5I31vw2jaPS93W8/XGrpos1Fk0WahGI3HDUmKlGJ9zhpS7fvv2FcS//izRqw4x4BTkBnhiueRC2o29joALBtu7i5ohcXfHo1MnPDp1ggsvPGOdLSeHgoMHyd+7j/xdu8jfvZuAXbvotPYYoxzbFHt7kN7OsD90M9sCf2VVK8PB1oJ3aBt6htmTR4/g7vQI6shd+SuZtOlCHrm0G27WxtH6Uo2DNNfpiePi4kx8fLyrw1A18Otrd9H/+Fxsf9+Pl29A6fLEfRuJn/EYXX9OxGKD9LgudLnlbtqMHGMfP1BnKc7OoWDPbvJ27SJ/9x57Itm1i+KTp2eYPRXoSVIrCztD8jjYSjjYWigOLCa5qBtRoTFEBrUhxDuI1r7BtPENITwglIjAUNr4BmJpJN14qv6JyHpjTNwflzeZloWIjAFeBazAO8aY6S4OSdWjooJ8olN+4HeffsQ4EsXR5N2sfulhopbsoFsxHB3enbiH/0WvyKY7G60xBuz/wBjHPY5lZdZhP1FJLIJFBIQaDTpb/Xzxjo3FOzb2jGMXnzhhTyC7dpO/axchO3fSddNeyLef6WUTw/HgnRxotZNsLyhwg1R3SHYXfnOHPHfIdxMKrJ4UuXlT5OGDxdMfD58QvALbEBjWnnZhEUQGtaNLaDjnhLTBTRN6s9AkkoWIWIHXgIuBJGCdiCwwxmx3bWSqvmz4aS7nk0ZS38kcPbiDdTOn0f6HzXQtgKQLojjv4efo1a1PpfswxmArNhQX2ey3wjKPi2wUF5Z5XGTOeG4rWXbWtuUtq2D/ju1tjm1txebspFAHJclDLHI6kVgEEUEsOO7tj61WCxY3C1Y3wepmwWItubdgdfPH6haHpWt/rN0tWCxAbg4m4yRm16+YjEzC8Ye8U1CQi6UgD2thARZThMVWiNiKsNiKHM+LENtJLCYFi20rFlsRRZYiTnkUsd+riK1eQqa3J5lBgRSGtMKjXUdCo7pxbs84Ys7tjYdbk/gIUjSRbigRuQCYZowZ7Xj+KIAx5oWKXlPbbqjVL39ATlb50zUbU/E3u7N+izXZltPbVv3fUf1tDZXEcNZra/ezVRrCH34HlW2bmZlFfnYRlmIrnnnFGBHy/T3x6dQZb/8gjM3+wVxUePoD3HbGh7h9WX0Ri5R+0Jbe3E9/+Nofl705PozLLLdYxf5bLWkViOO3LPYPe8dDSlacXmZ/YIzB2AzG2AtCGZvB2Most4GtzDamdBtDcbHBVlwmeRXbsJUmvpJ1ZR87tisqrvTvvMYcCeWsmykCU0SxpQibpRgsRQS29ibQ2w2LxVbJX6OqjuGPTMDqUbsxvKbeDdUeOFTmeRIw4I8bicidwJ0AHTvWbtqClKOG9FP+p/dZ5dfB0+vP/gM/87Vn7OsPG1d+nD/up7rrACm7vqr91OBnkYrX1ex3YldUbMVSaMHmbuVUax98wtoS5Gv/fygutIGAm4cVT1933Nwc35rdz/ygPvOD/exlFjfB6m7B7Q8f9payr3cst1ha6MdVcSG2T2+h+OhOio1b6c1W5nGxze2MdZXdSl5XZLNSWOTGqUIrOUVuFBS5UVzshil2Q2zuSLE3Odlu5J9yx2Z0PKTOiuu/PklTSRblvXPP/sJrzFvAW2BvWdTmQOP+Nbk2L1OqebC6Y5nwCRbA3dWxqEalqaTwJKBDmecRQLKLYlFKqRanqSSLdUC0iESJiAdwA7DAxTEppVSL0SS6oYwxRSLyF2Ax9lNn3zPGbHNxWEop1WI0iWQBYIxZCCx0dRxKKdUSNZVuKKWUUi6kyUIppVSVNFkopZSqUpO4grs2RCQFOFDLl4cBJ+oxnPqicdWMxlUzGlfNNMe4TgAYY8b8cUWzTRZ1ISLx5V3u7moaV81oXDWjcdVMS4tLu6GUUkpVSZOFUkqpKmmyKN9brg6gAhpXzWhcNaNx1UyLikvHLJRSSlVJWxaqRqQm5dpUo6X/j6qmWmSyEJF2jfHNIiLhIlK7iiVOJCK9ReRhANOImqIi0tbVMZRHRNq4OobyiMi5InIpNLr/x04iUrsCNE4kIl6ujqE8rvr8alHJQkQ8ReQN4GfgLRG52tUxAYiIn4j8G1gEvCMiNzmWu/T/R+xmAB8DbiLSKEociIi3iLwCfC8iL4vIeFfHBKX/jy8Di0TkzUb29/X/gE8AD1fHU8Lx//gy9r/72SJyj2O5q//ufUXkLeBJEQl1LHP5l0tXf361qGQBjAPaGWO6At8CT4tIV1cGJCLhwAfY38SDgflAybf4+i93VTOtgHZAP2PMc8aYQhfHU2Iq0MoYEwt8DTwvIl1cGZCItAfmYH9PXYb9Df2iK2MCEJEA4CtgiDGmrzFmvqtjKuM+INwY0wOYBjwArv27d7QmngaGAP7ACEdMjaEl5tLPr2afLETEr8xTA6QAON403wN3iUiQC+Iqqd2aAfzNGPMXY0w20Ab4WkRaObZr0P+jMnEBBALRxpgCERktIg+JyOiGjKdMXH6OeysQjP3NgjHmZyAH+7fAQFfE5pAHvGOMud8YcxT4HEgQkRgXxlQS1xxgG4CIDBaRS0Qk2vG8wT8DRMTqOK4Amx2Lw4HvRKTb/2/v7IO8qso4/vmugLyEKP6jY5oQ2suai5o6YiCTgZO4Zmi1qU1mUYF/gAoKTlSQlQ5W2JAvQ0aSptk0ONOLM+SE5WsvU2ZOmOyQ1RA4ppOmIQo8/fGcH3vnx64/V/aee3d7vjN3fveec3buZ8/v/s5zznPPeU5unsQ0Op3uAG4EpgGbgBMkvTWVyT66qFP7NWSNhaRJku4CvitplqQxwHbghdSbB1gBHA+0p78p/WFo5gKGm9nfJI2WNB9YDIzBfzjvNLPdmbnWpPoaD7wIPChpOXAF3vCslPTxpoc4B9etks5Kyf8BTpbUkYzqE8DRwMT0Nznq622SbpI0CsDMngXuKxQ5PPH8pWyWFlyvAL8ATNI24CvApPnvzwAAB01JREFUDOCXktozPl97uMxsVxo9/BM4QtL9wLX493qvpBm5GmZJR0lai7t1zgbGmlm3mf0L2ACMpILRRR3bryFpLFKvZSXwJ7xXdRawFLgXeDvQIWmEmT2NuwsuhfIfhiautbi74kspeztwj5kdbmYL8V7D9RVwfQ+YBVxlZlvxPU+mAZeZ2Sq8HjvpfV/0MrnW4t/jcuBr+Gjic8DPcV/8emAuZKmv9+D19GngspQmM3upUGwE8JSZ7SiTpRVX0lb8vdN1ZnaamS0Cvo3XYyX1lXQb3gnZCpxkZl8AvgpcmqNhlvQx3O37MG5QO4FzGvlm9hjwZ6Bd0gll8xS4atl+YWZD7gAOwx/E/QrXvwFOBj4ErMEfTlLlr8Z7+FVwPQycna5Fz9qXibg/flRFXL/GjUQH3iBfXCi/Afc1V8U1M11PAMan83PxRoZGHZbI9Q7gGGAS0A28pZcyXcCKdD4HODZDfTVzHVnIG9lU9ij8XcbIqrjS834Y8A1gYkrbHx+hHZyBaybQWbi+FvhsOh+WPo/AOyXz8FH/tAxctWy/huTIwsy2AO/Gh9uN6xuAZWb2Q+BJYImky4E7gc2W4eVtH1w3UugZmJlJOgX4DvCQmW2vkGupmf0RXxHaKWlJchk8DjxXEde3gKvS9V/N7DlJ0/Ae6z9Seqk9LDPbCHSbWTduSJfDXv7/04GDJf0IOB934ZWqXriWJS6Z2Z77S5oC3AI8UkzPzZW+p2244Zoj6SJ86+Tf4u/yyuZaD6yX1Ngx9GX83QlmtjN9/h14E3A13gGo6rmvvP0q1RJlsMB79brpscYXAQ8U0g/EXzqeiPdopuJungtrwHVH4hmD/5D+AHy4Blw/AKak63bgcqCrBlx3kHp4+IhiE3B+Dq5CXmMEOBbvLZ/elH8P/lL5vLpw4Y3elcCjwEdqxHUs3nP/aa7nq49ytwOzm9JOxN1kF5TANR44oFhH9IxoKmu/+uTNdaMSKvoa4MfAcem6rSl/P9wPuaCQditwTJ25gMl15KpxfR1YBVeDLX0uAH6Szj+afszTa8g1DDi6hlyluVpfJ1cbMBpYh89GFHAGsH+JXEuBjfjI4IvNbFX9Hl/rGJRuKEmfwr/MTcBs2HtutpntAhYB8yWdI+lC3G9a2hzufeRq5D9aM6661pel/H9XwZW0O+WtBE6V9DzwPryRua+GXMPN7Mmacb2XtP6zKq6UNi4ds+h5XzfgXPIFfyvwZ3g68HlggaQjrTAzrYrfY0tVZaXegCUeXzg/CHgz/oXeDJyZ0lUo05Y+P4C7dn6FL0wKruDaZ65C2XH4FMbHgFODa9BydeIN8V3A1LK48NHddJK7KaWtpjCBJKVlee779T9UefPXWcnj8Gl+D+F+zfamvPnAN0m+P3p8o2XPiAmu/2OuQpk2SpjpFFzZucYAnymZ6xKSGzDVg/Ap1htocj+X/dy/kWMwuKGW4P67T+I9hT2x2s3seXzqqYDzUpoVP4MruMrgKpTZbT4fP7gGKZekNjN7ycxuzsC1Jt1/Nz7KeBVfNb6l+EcZnvt+q7bGQq7GlLbbzWyjmX0ZeEXSskLRx3HL/C5JiyTNLXMlY3AFV3ANLS4rIRZVH1xXF7nMp7tOAHaa2TOSZkvqGmiWgVJtjYW5duLznourJ+cB8yQdlMr9F+8xdOErRDeXaZWDK7iCK7gGigtfSzFaHnLkSnzdST1lNfCF9XbQ84LneDx41qhC3mrgCuvxCW4GFgZXcAVXcA0SriXpfDHwNDAnB9e+HJVvqyrfVGcXcL0VViEqRaU0s12S7gS2m9knUt5CYJuZ3ZauR5gHTAuu4Aqu4Bo0XJKOA56wDJEa9llVWSlgFB62YQvwO6CjkFecOjkBjxdzfyrfhU+7mx1cwRVcwTVIuQZ8ZX/ZR/4b9ixnF77ZzzA8bPLX8fDAjXKH4JFGHwGGA5OBi/HooucGV3AFV3AFV74j3428Uq/D45nMaFR4+jwUn6kws5A2E5gbXMEVXMEVXNUfeW7iVvgGPOzuBXjkyUsoxF7B48V8n15CX5NiygRXcAVXcAVXNUeem8AB+ArGsen6DJoiJuJDtXX4PrOnAR9sfFHBFVzBFVzBVe2RZZ2Fmb0APIWH3QV4EA/DfYqkQ1KZV4Gf4bFZbqEnUJwFV3AFV3AFV7XKuShvHTBZ0qFm9iI+I2AH7u9DUge+CdBKM5tkZncHV3AFV3AFVz2U01g8ADxLss5m9nvgJDyOPPjm7VPNbHFGpuAKruAKrsHMlU3DWhcZGJnZVkl3A9dI6sa3TnwZaGxf+EwuluAKruAKrqHAlVPZV3BLej++6fgUYJWZrcoK0IeCq38Krv4puPqn4KqfKgn3IWk4/u5nZ/abv4aCq38Krv4puPqn4KqXKo8NFQqFQqH6q7YhykOhUChUH4WxCIVCoVBLhbEIhUKhUEuFsQiFQqFQS4WxCIVCoVBLhbEIhUKhUEuFsQiFQqFQS4WxCIVCoVBL/Q+F+Gl7HeDKpQAAAABJRU5ErkJggg==\n", 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "get_total_irradiance_per_model(32, 90)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/tutos_temp/irradiance.py b/docs/tutorials/irradiance.py similarity index 100% rename from docs/tutos_temp/irradiance.py rename to docs/tutorials/irradiance.py diff --git a/docs/tutorials/pvsystem.ipynb b/docs/tutorials/pvsystem.ipynb deleted file mode 100644 index 89065ef2a9..0000000000 --- a/docs/tutorials/pvsystem.ipynb +++ /dev/null @@ -1,1111 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# pvsystem tutorial" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This tutorial explores the ``pvlib.pvsystem`` module. The module has functions for importing PV module and inverter data and functions for modeling module and inverter performance.\n", - "\n", - "1. [Angle of Incidence Modifiers](#Angle-of-Incidence-Modifiers)\n", - "2. [Sandia Cell Temp correction](#Sandia-Cell-Temp-correction)\n", - "2. [Sandia Inverter Model](#Sandia-inverter-model)\n", - "2. [Sandia Array Performance Model](#SAPM)\n", - " 1. [SAPM IV curves](#SAPM-IV-curves)\n", - "2. [DeSoto Model](#desoto)\n", - "2. [Single Diode Model](#Single-diode-model)\n", - "\n", - "This notebook requires pvlib >= 0.8. See output of ``pd.show_versions()`` to see the other packages that this notebook was last used with. It should work with other Python and Pandas versions. \n", - "\n", - "Authors:\n", - "* Will Holmgren (@wholmgren), University of Arizona. 2015, March 2016, November 2016, May 2017." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "tags": [] - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": "We suggest you install seaborn using conda or pip and rerun this cell\n" - } - ], - "source": [ - "# built-in python modules\n", - "import os\n", - "import inspect\n", - "import datetime\n", - "\n", - "# scientific python add-ons\n", - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "# plotting stuff\n", - "# first line makes the plots appear in the notebook\n", - "%matplotlib inline \n", - "import matplotlib.pyplot as plt\n", - "# seaborn makes your plots look better\n", - "try:\n", - " import seaborn as sns\n", - " sns.set(rc={\"figure.figsize\": (12, 6)})\n", - "except ImportError:\n", - " print('We suggest you install seaborn using conda or pip and rerun this cell')\n", - "\n", - "# finally, we import the pvlib library\n", - "import pvlib" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "tags": [] - }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": "\nINSTALLED VERSIONS\n------------------\ncommit : None\npython : 3.8.2.final.0\npython-bits : 64\nOS : Darwin\nOS-release : 19.5.0\nmachine : x86_64\nprocessor : i386\nbyteorder : little\nLC_ALL : None\nLANG : None\nLOCALE : None.UTF-8\n\npandas : 1.0.3\nnumpy : 1.18.2\npytz : 2019.3\ndateutil : 2.8.1\npip : 20.0.2\nsetuptools : 46.1.3.post20200330\nCython : 0.29.16\npytest : 5.4.1\nhypothesis : None\nsphinx : 1.8.5\nblosc : None\nfeather : None\nxlsxwriter : None\nlxml.etree : None\nhtml5lib : None\npymysql : None\npsycopg2 : None\njinja2 : 2.11.2\nIPython : 7.16.1\npandas_datareader: None\nbs4 : 4.9.0\nbottleneck : None\nfastparquet : None\ngcsfs : None\nlxml.etree : None\nmatplotlib : 3.2.1\nnumexpr : 2.7.1\nodfpy : None\nopenpyxl : None\npandas_gbq : None\npyarrow : None\npytables : None\npytest : 5.4.1\npyxlsb : None\ns3fs : None\nscipy : 1.4.1\nsqlalchemy : None\ntables : 3.6.1\ntabulate : None\nxarray : None\nxlrd : None\nxlwt : None\nxlsxwriter : None\nnumba : 0.49.0\n" - } - ], - "source": [ - "pd.show_versions()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "import pvlib\n", - "from pvlib import pvsystem, inverter" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Angle of Incidence Modifiers" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "angles = np.linspace(-180,180,3601)\n", - "ashraeiam = pd.Series(pvsystem.iam.ashrae(angles, .05), index=angles)\n", - "\n", - "ashraeiam.plot()\n", - "plt.ylabel('ASHRAE modifier')\n", - "plt.xlabel('input angle (deg)');" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "angles = np.linspace(-180,180,3601)\n", - "physicaliam = pd.Series(pvsystem.iam.ashrae(angles), index=angles)\n", - "\n", - "physicaliam.plot()\n", - "plt.ylabel('physical modifier')\n", - "plt.xlabel('input index');" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "plt.figure()\n", - "ashraeiam.plot(label='ASHRAE')\n", - "physicaliam.plot(label='physical')\n", - "plt.ylabel('modifier')\n", - "plt.xlabel('input angle (deg)')\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Sandia Cell Temp correction" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "PV system efficiency can vary by up to 0.5% per degree C, so it's important to accurately model cell temperature. The ``temperature.sapm_cell`` function uses plane of array irradiance, ambient temperature, wind speed, and module and racking type to calculate cell temperature. From King et. al. (2004):\n", - "\n", - "$$T_m = E e^{a+b*WS} + T_a$$\n", - "\n", - "$$T_c = T_m + \\frac{E}{E_0} \\Delta T$$\n", - "\n", - "The $a$, $b$, and $\\Delta T$ parameters depend on the module and racking type. Here we use the ``open_rack_glass_glass`` parameters." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "``sapm_cell`` works with either scalar or vector inputs." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": "43.509190983665746" - }, - "metadata": {}, - "execution_count": 7 - } - ], - "source": [ - "# scalar inputs\n", - "thermal_params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm']['open_rack_glass_glass']\n", - "pvlib.temperature.sapm_cell(900, 20, 5, **thermal_params) # irrad, temp, wind" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "# vector inputs\n", - "times = pd.date_range(start='2015-01-01', end='2015-01-02', freq='12H')\n", - "temps = pd.Series([0, 10, 5], index=times)\n", - "irrads = pd.Series([0, 500, 0], index=times)\n", - "winds = pd.Series([10, 5, 0], index=times)\n", - "\n", - "pvtemps = pvlib.temperature.sapm_cell(irrads, temps, winds, **thermal_params)\n", - "pvtemps.plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Cell temperature as a function of wind speed." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "wind = np.linspace(0,20,21)\n", - "temps = pd.Series(pvlib.temperature.sapm_cell(900, 20, wind, **thermal_params), index=wind)\n", - "\n", - "temps.plot()\n", - "plt.xlabel('wind speed (m/s)')\n", - "plt.ylabel('temperature (deg C)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Cell temperature as a function of ambient temperature." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "atemp = np.linspace(-20,50,71)\n", - "temps = pd.Series(pvlib.temperature.sapm_cell(900, atemp, 2, **thermal_params), index=atemp)\n", - "\n", - "temps.plot()\n", - "plt.xlabel('ambient temperature (deg C)')\n", - "plt.ylabel('temperature (deg C)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Cell temperature as a function of incident irradiance." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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ToZzKLcjhHTbxm1k6wV238uTuqt4kEkPrd+7jpqlzeG/BJro3q8U9Q7vRvtERx12I5HvrxeoAZnYbsB74L2AEF20lFUt0IvITOTnO89+s5q7X55OZk8NNZ3Xkiv4tKVtGF2JJZCLp6jnH3bvnmn7EzGYDN0cpJhE5jBVb9jB6SipfLttGv1Z1GT+0K83rqr6OFEwkiX+PmV1EMO7egQuBPVGNSkR+JCs7h4mfreC+dxZSvkwZxp/flV/0aqZyC1IokST+XxFccfsgQeL/jB+KrIlIlC3YsItRk1KZvWYnp3RsyO3ndaFRzUqxDktKsUiGc64Azo1+KCKS2/6sbP71wVIe/mAJNSuX56ELj2FwtySd5ctRy29Uz03Aw+6+7TDzBwJV3H16tIITSVTfrtrOqEmpLN60m/N6NObmsztTp2qFWIclcSK/M/404FUzyyCo07OZoNhaW6AH8C5wZ9QjFEkgew9kcd/bi/j3Z8tpVKMSEy/vxUkdGsQ6LIkz+Q3nfAV4xczaElTaTCK4evcZYHh4By4RKSKfLdnC6CmprN62j4v7JjPq9A5UV1E1iYJI+vgXA4uLIRaRhLRzXyZ3vT6f579ZTct6VXlheF/6tKob67AkjkV6IxYRiYK3527gppfnsGX3fn59YlBUrVJ5FVWT6FLiF4mBLbv3M3baXKanrqdjUg2evKwXXZvWjHVYkiCU+EWKkbvz8qy1jHt1Hnv3Z/PnQe24dkBrypdVUTUpPpHcerEd8AjQ0N27mFk3gjIOt0c9OpE4sm7HPm6cmsYHCzfTM7kW9wzrRpsGKqomxS+SM/7HgRHAYwDunmpmzwFK/CIRyMlxnv16FeNfn0+Owy1nd+LSfi1UVE1iJpLEX8Xdvz7kasGsKMUjEleWbd7N6ClpfL18G8e3qcdd53elWZ0qsQ5LElwkiX+LmbUmrM1vZsMIyjSLyGFkZefwxKfLuf+dRVQsV4Z7hnXj58c2VbkFKREiSfy/AyYAHcxsLbCcoCa/iORh3rpdjJw8mzlrd3Fa54bcdm4XGtRQUTUpOfJN/GZWFvitu59iZlWBMu6eXjyhiZQuGZnZ/PP9JTz60VJqVSnPwxf15IwujXSWLyVOvonf3bPN7PjwuWrwixzGzJXbGTlpNks372Foz6b8dXBHalVRUTUpmSLp6vnOzKYBL5HrBizuPiVqUYmUEnv2Z/G3txby1BcraFyzMk9d2ZsT29WPdVgi+Yok8VcCtgIDc7U5kG/iN7NKwMdAxXA7k9z9FjP7D3AisDNc9HJ3n1XAuEVi7pPFmxkzJY012/dxWb/mjDi9A9Uq6ppIKfkiKdJ2RSFfez8w0N13m1l54FMzeyOcN8LdJxXydUViaufeTG5/bR4vzVxDq3pVeenafvRqUSfWYYlELJIrdycSDuXMzd2vzG89d3dgdzhZPnz85HVESpO3wqJq2/Yc4LcDWvOHk9uqqJqUOpF8L819h61KwBBgXSQvHo4Kmgm0Af7l7l+Z2W+AO8zsZuA9YLS7789j3eHAcIDk5ORINicSNZvTg6Jqr6Wtp1NSDSZe3osuTVRUTUonC07MC7CCWRngU3c/rgDr1AKmAv9H8HvBBqACwfUBS9391vzWT0lJ8RkzZhQoTpGi4O5M+XYtt06fx77MbP54cluGn9BKRdWkVDCzme6ecmh7YX6JagsU6F5w7r7DzD4ATnf3e8Pm/WE30l8KEYNI1K3Zvpcbps7h40WbObZ5be4e2o02DarFOiyRoxZJH386P+6b3wCMimC9+kBmmPQrA4OAu80syd3XW3BVy3nAnMKFLhIdOTnOM1+t5O43FuDAuHM6c0nf5pRRUTWJE5GM6ils3dgk4Kmwn78M8KK7Tzez98MPBQNmAdcW8vVFitzSzbsZPTmVb1Zs52dt63HnEBVVk/gTyRn/e+5+8pHaDuXuqcAxebQPzGNxkZjKzM5hwsfLePC9xVQuX5Z7f96doT2bqNyCxKXDJv7wAqwqQD0zq01whg5QA2hSDLGJFIs5a3cyanIqc9ft4owujRh3bmcaVFdRNYlf+Z3x/xr4E9CYYEjmwcS/C/hnlOMSibqMzGz+8d5iHvt4GbWrVODRi3tyepekWIclEnWHTfzu/iDwoJn9n7s/VIwxiUTdjBXbGDk5lWWb9zDs2Kb89axO1KxSPtZhiRSLSH7cfcjMugCdCC7gOtj+dDQDE4mG3fuz+NubC3j6y5U0qVWZ/17Vm5+1VVE1SSyR/Lh7CzCAIPG/DpwBfAoo8Uup8tGizdwwJY11O/dxWb8WjDitPVVVVE0SUCT/6ocB3YHv3P0KM2sIPBPdsESKzo69B7h1+jymfLuW1vWrMunafhzbXEXVJHFFkvj3uXuOmWWZWQ1gE9AsynGJFInX09Zz8ytz2LE3k9+f1IbfD2yjomqS8CJJ/DPCWjuPE4zu2Q18EdWoRI7Spl0Z3PzKXN6cu4EuTWrw1JW96dxYRdVE4Mj33DXgLnffATxqZm8CNcKLs0RKHHfnpZlruH36PDKychh1egeu+VlLyqmomsj3jnTPXTez14Gu4fSK4ghKpDBWb9vLDVPT+GTxFnq3qMP4oV1pVV9F1UQOFUlXz7dm1svdv4l6NCKFkJ3jPP3FCu55cyFlDG47rwsX9U5WUTWRw4gk8fcBLjKzlQQ3WzeCLwPdohqZSASWbEpn5KRUvl21gwHt63PHkK40qVU51mGJlGiRJP7Toh6FSAFlZufw2EdL+cd7S6hSsSx/v6A7Q45RUTWRSERy5e5KMzseaOvuE8OSyuo4lZhJW7OTEZNms2BDOoO7JTH2nM7Uq1Yx1mGJlBqRXrmbArQHJhLcNP0ZoH90QxP5sYzMbO5/dxFPfLKculUrMOGSYzm1c6NYhyVS6kTS1TOEoK7+twDuvs7MCntzFpFC+WrZVkZPSWP5lj38slczxpzZkZqVVVRNpDAiSfwHwmGdDmBmVaMck8j30jMyufvNBTzz5Sqa1anMs1f3oX+berEOS6RUiyTxv2hmjwG1zOwa4EqCq3hFouqDBZu4cWoa63dlcNXxLfnzqe2oUkFF1USOViQ/7t5rZoMIbsDSDrjZ3d+JemSSsLbtOcBt0+cx9bu1tG1Qjcm/OY6eybVjHZZI3Ij09CkNqAx4+FykyLk7r6Wt55ZX5rJzXyZ/GNiG3w1sQ8VyKqomUpQiGdVzNXAz8D7BxVsPmdmt7v7vaAcniWPjrgxuenkO78zbSLemNXnm6j50TKoR67BE4lIkZ/wjgGPcfSuAmdUFPgeU+OWouTsvfLOaO16fz4GsHG48syNX9G+homoiURRJ4t8KpOeaTg/bRI7Kyq17GDMljc+XbqVvqzqMP78bLepp0JhItEWS+JcAX5nZKwR9/OcCqWZ2PYC7/z2vlcysEvAxUDHcziR3v8XMWgLPA3UJ6vtf4u4HjnpPpNTIznEmfrace99eSPkyZbhjSBcu7KWiaiLFJZLEvzR8HPRK+PdIF3HtBwa6+24zKw98amZvANcD97v782b2KHAV8EgB45ZSauGGdEZOTmX26h2c3KEBtw/pQlJNFVUTKU6RDOccV5gXdncnuFsXBGUeyhN8YxgI/CpsfwoYixJ/3DuQlcMjHy7lnx8spnql8jz4yx6c072xiqqJxEAko3pSgBuB5rmXj6Qss5mVJejOaQP8i+Cbww53zwoXWQM0Ocy6w4HhAMnJyUfalJRgs1fvYOSkVBZuTOfcHo25eXAn6qqomkjMRNLV8yzByJ40IKcgL+7u2UCP8J69U4EOBVh3AjABICUlxQuyXSkZ9h3I5u/vLOTJT5fToHolnrwshZM7Nox1WCIJL5LEv9ndpx3NRtx9h5l9APQjKP1QLjzrbwqsPZrXlpLp86VbGD05jVXb9nJh72TGnNmBGpVUVE2kJIgk8d9iZk8A7xH8YAuAu0/Jb6Wwbn9mmPQrA4OAu4EPgGEEI3su44cfiyUO7MrI5K7XF/C/r1fRvG4V/ndNX/q1rhvrsEQkl0gS/xUEXTTl+aGrx4F8Ez+QBDwV9vOXAV509+lmNg943sxuB74DnixU5FLivDtvIze+nMbm9P1c87OWXD+oPZUrqNyCSEkTSeLv5e7tC/rC7p5KUMf/0PZlQO+Cvp6UXFt372fcq/OYNnsdHRpVZ8IlKXRvVivWYYnIYUSS+D83s07uPi/q0Uip4u5Mm72Oca/OIz0jk+sHtePaE1tToZzKLYiUZJEk/r7ALDNbTtDHbwTD9I84nFPi1/qd+7hx6hzeX7CJHs1qcc+wbrRrqBuziZQGkST+06MehZQaOTnO/75ZxV2vLyA7x/nr4E5cflwLyqrcgkipEcmVuyvN7HigrbtPDEfrVIt+aFLSrNiyh9FTUvly2TaOa12X8ed3I7lulViHJSIFFMmVu7cAKUB7YCLB6J5ngP7RDU1KiqzsHP792XLue3sRFcqV4e6hXbkgpZnKLYiUUpF09QwhGJ3zLYC7rzMzdeYmiPnrdzFqciqpa3YyqFNDbj+vCw1rVIp1WCJyFCJJ/Afc3c3MAcxMBdMTwP6sbP71wVIe/mAJNSuX56ELj2FwtySd5YvEgUgS/4tm9hhBqYVrgCuBJ6IblsTSd6u2M2pyKos27mbIMU24eXAnaletEOuwRKSIRPLj7r1mNgjYRdDPf7O7vxP1yKTY7T2QxX1vL+Lfny2nUY1KTLy8Fyd1aBDrsESkiEXy4+7d7j4KeCePNokTny3Zwugpqazeto+L+yYz6vQOVFdRNZG4FMklloPyaDujqAOR2Ni5L5PRk1O56ImvKFemDM8P78vt53VV0heJY4c94zez3wC/BVqZWWquWdWBz6IdmETf23M3cNPLc9iyez+/PrEV153SjkrlVVRNJN7l19XzHPAGcBcwOld7urtvi2pUElVbdu9n7LS5TE9dT4dG1XnishS6NVVRNZFEcdjE7+47gZ3AhcUXjkSTu/PyrLWMe3Uee/dn8+dB7bh2QGvKl1VRNZFEEslwTokD63bs44apaXy4cDM9k2tx99ButFVRNZGEpMQf53JynGe/XsX41+eT43DL2Z24tJ+KqokkMiX+OLZs825GT0nj6+XbOL5NPe46vyvN6qiomkiiU+KPQ1nZOTz+yXLuf3cRlcqV4Z5h3fj5sU1VbkFEACX+uDNv3S5GTp7NnLW7OK1zQ247twsNVFRNRHJR4o8TGZnZ/PP9JTz60VJqVanAIxf15IyuSbEOS0RKICX+ODBz5TZGTkpl6eY9DO3ZlL8O7kitKiqqJiJ5U+Ivxfbsz+Jvby3kqS9W0LhmZf5zRS8GtFdRNRHJnxJ/KfXxos2MmZLG2h37uKxfc0ac3oFqFXU4ReTIopYpzKwZ8DTQEHBggrs/aGZjgWuAzeGiN7j769GKI97s3JvJba/NY9LMNbSqX5WXru1HrxZ1Yh2WiJQi0TxFzAL+7O7fhrdqnGlmB0s73+/u90Zx23HpzTnr+esrc9m25wC/HdCaP5zcVkXVRKTAopb43X09sD58nm5m84Em0dpePNuUnsEtr8zljTkb6JRUg4mX96JLk5qxDktESqli6RQ2sxYEN2z/CugP/N7MLgVmEHwr2F4ccZQ27s7kb9dy2/R57MvMZsRp7Rl+QisVVRORoxL1DGJm1YDJwJ/cfRfwCNAa6EHwjeC+w6w33MxmmNmMzZs357VIXFuzfS+X/vtr/vLSbNo2qMbrf/gZvzupjZK+iBy1qJ7xm1l5gqT/rLtPAXD3jbnmPw5Mz2tdd58ATABISUnxaMZZkuTkOE9/sYJ73lqIAbee25mL+zSnjIqqiUgRieaoHgOeBOa7+99ztSeF/f8AQ4A50YqhtFmyaTejJ6cyY+V2TmhXnzuHdKFpbRVVE5GiFc0z/v7AJUCamc0K224ALjSzHgRDPFcAv45iDKVCZnYOEz5exoPvLqZyhbLc+/PuDO3ZREXVRCQqojmq51Mgr8ylMfu5zFm7k5GTUpm3fhdndm3EuHO6UL96xViHJSJxTJd6xkhGZjb/eG8xj328jDpVK/DoxT05vYuKqolI9Cnxx8A3K7YxalIqy7bs4YKUptx4ZidqVikf67BEJEEo8Rej3fuzuOfNBTz9xUqa1q7MM1f14Y2RsyQAAA23SURBVPi29WIdlogkGCX+YvLhwk3cOHUO63bu4/LjWjDitPZUVVE1EYkBZZ4o277nALe9No8p366lTYNqTLr2OI5tXjvWYYlIAlPijxJ35/W0DdwybQ479mbyh4Ft+N3ANlQsp6JqIhJbSvxRsGlXBje9PIe3522ka5OaPH1lHzo1rhHrsEREACX+IuXuvDRjDbe9No8DWTmMOaMDVx3fknKqryMiJYgSfxFZvW0vY6ak8emSLfRuWYfx53elVf1qsQ5LROQnlPiPUnaO89TnK/jbWwspW8a4/bwu/Kp3soqqiUiJpcR/FBZvTGfU5FS+XbWDAe3rc+eQrjSuVTnWYYmI5EuJvxAys3N49MOlPPT+EqpWLMsDv+jBuT0aq6iaiJQKSvwFlLZmJyMmzWbBhnQGd0ti7DmdqVdNRdVEpPRQ4o9QRmY297+7iMc/Xka9ahV5/NIUBnVqGOuwREQKTIk/Al8u28qYKWks37KHC3s3Y/QZHalZWUXVRKR0UuLPR3pGJuPfWMCzX62iWZ3KPHd1H45ro6JqIlK6KfEfxgcLNnHD1DQ27srg6uNbcv2p7ahSQW+XiJR+ymSH2LbnALe+OpeXZ62jXcNqPHzRcRyTrKJqIhI/lPhD7s6rqesZO20u6RmZ/PHktvzupDZUKKdyCyISX5T4gQ07g6Jq787fSPemNbl7WB86NFJRNRGJTwmd+N2d579ZzZ2vzSczJ4cbz+zIFf1bqKiaiMS1hE38K7fuYfTkNL5YtpW+reow/vxutKhXNdZhiYhEXcIl/uwcZ+Jny7n37YWUL1OGO4d05Ze9mqmomogkjIRK/As3pDNyciqzV+/g5A4NuH1IF5JqqqiaiCSWqCV+M2sGPA00BByY4O4Pmlkd4AWgBbACuMDdt0crDoADWTk8/OES/vXBEqpXKs+Dv+zBOd1VVE1EElM0z/izgD+7+7dmVh2YaWbvAJcD77n7eDMbDYwGRkUriFmrdzBqUioLN6ZzTvfG3HJ2J+qqqJqIJLCoJX53Xw+sD5+nm9l8oAlwLjAgXOwp4EOilPgfem8x97+7iAbVK/HEpSmcoqJqIiLF08dvZi2AY4CvgIbhhwLABoKuoLzWGQ4MB0hOTi7UdpPrVuGXvZMZfUYHalRSUTUREQBz9+huwKwa8BFwh7tPMbMd7l4r1/zt7p5vTYSUlBSfMWNGVOMUEYk3ZjbT3VMObY/qlUpmVh6YDDzr7lPC5o1mlhTOTwI2RTMGERH5saglfguGzDwJzHf3v+eaNQ24LHx+GfBKtGIQEZGfimYff3/gEiDNzGaFbTcA44EXzewqYCVwQRRjEBGRQ0RzVM+nwOEGyp8cre2KiEj+VI1MRCTBKPGLiCQYJX4RkQSjxC8ikmCifgFXUTCzzQQjgAqjHrClCMMpDbTPiUH7nBiOZp+bu3v9QxtLReI/GmY2I68r1+KZ9jkxaJ8TQzT2WV09IiIJRolfRCTBJELinxDrAGJA+5wYtM+Jocj3Oe77+EVE5McS4YxfRERyUeIXEUkwcZ34zex0M1toZkvC+/uWembWzMw+MLN5ZjbXzP4Yttcxs3fMbHH4t3bYbmb2j/A9SDWznrHdg8Izs7Jm9p2ZTQ+nW5rZV+G+vWBmFcL2iuH0knB+i1jGXVhmVsvMJpnZAjObb2b94v04m9l14b/rOWb2PzOrFG/H2cz+bWabzGxOrrYCH1czuyxcfrGZXZbXtg4nbhO/mZUF/gWcAXQCLjSzTrGNqkgcvIl9J6Av8Ltwv0YT3MS+LfBeOA3B/rcNH8OBR4o/5CLzR2B+rum7gfvdvQ2wHbgqbL8K2B623x8uVxo9CLzp7h2A7gT7HrfH2cyaAH8AUty9C1AW+CXxd5z/A5x+SFuBjquZ1QFuAfoAvYFbDn5YRMTd4/IB9APeyjU9BhgT67iisJ+vAIOAhUBS2JYELAyfPwZcmGv575crTQ+gafgfYiAwnaDk9xag3KHHG3gL6Bc+LxcuZ7HehwLub01g+aFxx/NxBpoAq4E64XGbDpwWj8cZaAHMKexxBS4EHsvV/qPljvSI2zN+fvhHdNCasC1uRHgT+3h5Hx4ARgI54XRdYIe7Z4XTuffr+30O5+8Mly9NWgKbgYlh99YTZlaVOD7O7r4WuBdYBawnOG4zie/jfFBBj+tRHe94TvxxLbyJ/WTgT+6+K/c8D04B4macrpkNBja5+8xYx1KMygE9gUfc/RhgDz98/Qfi8jjXBs4l+NBrDFTlp10ica84jms8J/61QLNc003DtlKvgDexj4f3oT9wjpmtAJ4n6O55EKhlZgfvIpd7v77f53B+TWBrcQZcBNYAa9z9q3B6EsEHQTwf51OA5e6+2d0zgSkExz6ej/NBBT2uR3W84znxfwO0DUcEVCD4kWhajGM6amYFvon9NODScHRAX2Bnrq+UpYK7j3H3pu7eguA4vu/uFwEfAMPCxQ7d54PvxbBw+VJ1ZuzuG4DVZtY+bDoZmEccH2eCLp6+ZlYl/Hd+cJ/j9jjnUtDj+hZwqpnVDr8pnRq2RSbWP3JE+QeUM4FFwFLgxljHU0T7dDzB18BUYFb4OJOgb/M9YDHwLlAnXN4IRjctBdIIRkzEfD+OYv8HANPD562Ar4ElwEtAxbC9Uji9JJzfKtZxF3JfewAzwmP9MlA73o8zMA5YAMwB/gtUjLfjDPyP4DeMTIJvdlcV5rgCV4b7vgS4oiAxqGSDiEiCieeuHhERyYMSv4hIglHiFxFJMEr8IiIJRolfRCTBKPHLEZnZ54VcL8XM/nGYeSvMrF4hX/e8wxXcM7NrzezSwrxuPtv7PtbCvhdFEIOZ2ftmVsPM7jezP+Wa95aZPZFr+j4zuz7X9Btm1jTS7YR/x+babl5tPczsi7CSZqqZ/SLXazxvZm2Pbo8lmjScU2IivAo3xd23FGLd/xCM5Z9UgHXK+Q/1Xn4yHa1Yi4qZnQWc4u7Xmdkw4AJ3v8DMyhBcrHjA3fuFy34BXOfuX5pZZeAjd+8d4XauA3YBHYADwEdA5zzaVhBUF1hsZo0Jaup0dPcdZnYicLG7X1Nkb4AUrVhfzKBHyX8Au8O/A4APCcoHLACe5YeTh17A58BsgotpqvPji63qAm8Dc4EngJVAvXDexeE6swiqDJY9uF3gjvA1vyQoXHUcsI2gcuUsoPUhsY4F/hI+/5CguNsM4M95TJ9NUODuO4KLZhpGEOvB96IawQU33xJcWHNu2N6CoHzy4+H6bwOVw3ltwu3MDtdrHbaPIEjeqcC4wxyD54AB4fPGwOrweVfgqXA7tQkueNoBVAjnnwHcEz5fAdwVvm8zCEpAvEVwcdC1ubY1GtgP/Cy/tkPimw20DZ+XCY9PuVj/29Uj74e6eqSgjgH+RHCPg1ZA/7AkxgvAH929O0HNlX2HrHcL8Km7dwamAskAZtYR+AXQ3917ANnAReE6VYEvw9f8GLjG3T8nuIx9hLv3cPelR4i3grunuPt9eUx/CvT1oAja8wTVPw8b6yEygCHu3hM4CbjvYJcIQe30f4Xr7wCGhu3Phu3dCT7A1pvZqeHyvQmu1D3WzE7IY3v9Cc6qcfd1QJaZJYev8wXBB1g/IAVIc/cD4XpnAG/mep1V4fv8CUFd+GEE93UYB2DBjX02A/8ATjezQXm15Q7MzHoDFQg+QHD3HIKrSbvnsR9SApQ78iIiP/K1u68BMLNZBGe4O4H17v4NgIfVQn/IgwCcAJwfzn/NzLaH7ScDxwLfhMtX5ocCVQcIarJDkPR+lHAi9EI+002BF8KiWBUIzlLzizU3A+4Mk3QOQUncg6V0l7v7rFxxtzCz6kATd58avm4GQJj4TyX41gHBN4m2BB90udVx9/Rc058TJP3jgL+H2z+O4Fh8lmu5/sBfck0frFeVBlQLXzPdzPabWS3gH+7uZjbW3ceGH2bv5tFGGH8SQWmFy8KEf9Amgm8miVRRtdRQ4peC2p/reTZH/2/IgKfcfUwe8zLd/eCPUIXd1p58ph8C/u7u08xsAEE3UaQuAuoDx7p7Zvg7QKVw3qHvUeV8XseAu9z9sSNsL8vMyuRKrp8RJPquBHVtVhN0X+0CJgKYWSuCLqEDuV7nYGw5h8SZQ9A14wDuPjb8+/2PgIe2mVkN4DWCOlhfHhJvJX76rU9KCHX1SFFYCCSZWS8AM6ueq4zuQR8Dvwrnn0HQHw1BP/kwM2sQzqtjZs2PsL10gt8QjlZNfihlm/uepYeL9dB1N4VJ/yQg35jDM+s1ZnZe+LoVzawKQR/7lRbcXwEza3LwvTjEQoKutYM+BwYD29w92923AbUIunsOjjw6tJunyITde1OBpz3vH9nbEXwgSQmkxC9HLTyj/AXwkJnNBt7hh7Pfg8YBJ5jZXIJulFXhuvOAm4C3zSw1XDfpCJt8HhhhwZ2pWh9F6GOBl8xsJsFt+/KN9RDPAilmlgZcSvBj95FcAvwh3M/PgUbu/jbBD7dfhK81ibw/1F4j+LH8oDSgHsGP3rnbdvoPo49OJ0qJH7iAoEvscjObFT56AJhZQ2CfB6WlpQTScE6RUiDsS3/a3SP6ncPMKgKfuXtKdCPLc9vXAbvc/cni3rZERmf8IqWABzffeDzsV49k+f2xSPqhHQRDTKWE0hm/iEiC0Rm/iEiCUeIXEUkwSvwiIglGiV9EJMEo8YuIJJj/B0mXCEs9+TpPAAAAAElFTkSuQmCC\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "irrad = np.linspace(0,1000,101)\n", - "temps = pd.Series(pvlib.temperature.sapm_cell(irrad, 20, 2, **thermal_params), index=irrad)\n", - "\n", - "temps.plot()\n", - "plt.xlabel('incident irradiance (W/m**2)')\n", - "plt.ylabel('temperature (deg C)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Cell temperature for different module and racking types." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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pVd8uIiKWo8pQzy6D7NutyotLWpGi6J/br6nbI5LWLR9fF5hf5bUiIqIzhiz8kt4n6VZgU0m39Lv9HrhleS8sScAZwJ0D1uW9CJhV3p/FsqUcIyJiFAw3xn8ecCnwn7xw5s0i249VeO3tgYOAWyXdXO77V+A4ihPGhwL3A/uPOHVERLRsyMJveyGwEDiglRe2fQ1FX5/B7NzKa0ZERPvSeiEiosek8EdE9JgU/oiIHpPCHxHRY1L4IyJ6TAp/RESPSeGPiOgxKfwRET0mhT8iosek8EdE9JgU/oiIHpPCHxHRY1L4IyJ6TAp/RESPSeGPiOgxKfwRET0mhT8iosek8EdE9JgU/oiIHpPCHxHRY1L4IyJ6TNcKv6RvSJov6bZ++9aUNEfS3eWfa3Tr/SMiYnDdPOL/JvDmAfuOAq6wvQlwRbkdERGjqGuF3/bVwGMDdu8FzC7vzwb27tb7R0TE4EZ7jH+q7YfK+w8DU0f5/SMiel5tJ3dtG/BQj0s6XNJcSXMXLFgwiskiIsa30S78j0haF6D8c/5QP2j7VNszbM+YMmXKqAWMiBjvRrvwXwTMKu/PAi4c5fePiOh53ZzO+S3gWmBTSX+QdChwHLCLpLuBN5XbERExiiZ264VtHzDEQzt36z0jImL5cuVuRESPSeGPiOgxKfwRET0mhT8iosek8EdE9JgU/oiIHpPCHxHRY1L4IyJ6TAp/RESPSeGPiOgxKfwRET0mhT8iosek8EdE9JgU/oiIHpPCHxHRY1L4IyJ6TAp/RESPSeGPiOgxKfwRET0mhT8iosek8EdE9JgU/oiIHlNL4Zf0Zkl3SbpH0lF1ZIiI6FWjXvglrQD8N7AbMB04QNL00c4REdGr6jji3xq4x/a9tp8Fvg3sVUOOiIieJNuj+4bSvsCbbb+73D4I2Mb2Pw/4ucOBw8vNTYG7RjVoa9YG/lh3iHEin2Vn5fPsrKZ8nhvanjJw58Q6klRh+1Tg1LpzjISkubZn1J1jPMhn2Vn5PDur6Z9nHUM9DwDr99ter9wXERGjoI7CfwOwiaSNJK0EvA24qIYcERE9adSHemwvlfTPwE+BFYBv2L59tHN0SaOGpsa4fJadlc+zsxr9eY76yd2IiKhXrtyNiOgxKfwRET0mhT8iosek8MeYJGkNSZvXnSMCilYzkr5Qd45OSeFvk6RXSXpJeX9HSR+UtHrduZpI0lWSJktaE7gROE3SF+vO1URlofpt3TnGC9vPATvUnaNTUvjbdwHwnKSNKaZ4rQ+cV2+kxlrN9pPAPsBZtrcB3lRzpkYqC9VdkjaoO8s4cpOkiyQdJGmfvlvdoVoxZls2NMjz5bUJbwFOtn2ypJvqDtVQEyWtC+wPfLLuMOPAGsDtkq4HFvfttD2zvkiNNgl4FNip3z4D368nTutS+Nu3RNIBwCxgz3LfijXmabJjKS7su8b2DZJeCdxdc6Ym+7e6A4wntg+uO0On5AKuNpVrCbwXuNb2tyRtBOxv+/iao0UgaUNgE9uXS1oZWMH2orpzNZGkVwNfA6ba3qycfDDT9mdrjjZiGeNvk+07bH+wLPprAKum6LdG0gnlyd0VJV0haYGkd9Sdq6kkHQZ8D/h6uesVwA/rS9R4pwFHA0sAbN9C0WuscVL425SZKB21a3lydw/gPmBj4GO1Jmq2I4DtgScBbN8NrFNromZb2fb1A/YtrSVJm1L425eZKJ3Td85pd+B82wvrDDMOPFOucgeApIkUJyOjNX+U9CrKz7BcVOqheiO1Jid325eZKJ1zcTn3/GngfZKmAH+uOVOT/VzSvwIvlbQL8H7gRzVnarIjKKZsv0bSA8DvgUYORebkbpsk7Ucxe+Ia2+8vZ6J83vZba47WSOWQ2ULbz5UnIyfbfrjuXE0kaQJwKLArIIoZU6c7/+nbImkVYEKTT5Kn8MeYImkzYDrFnGkAbJ9VX6KIQnlF/juBafQbLbH9wboytSpDPW2SNIniqOq1vLBYHVJbqIaSdAywI0Xh/zGwG3ANkMLfAkl7AJ8BNqT4vy7AtifXGqy5fgz8GrgVeL7mLG1J4W/f2cBvgX+guADpQODOWhM1177AFsBNtg+WNBU4p+ZMTfYlikkHt2Z4pyMm2T6y7hCdkFk97dvY9r8Bi23PppiRsk3NmZrqadvPA0slTQbmU/Q+itb8L3Bbin7HnC3pMEnrSlqz71Z3qFbkiL99S8o/nyjHpx8mc6VbNbccRz0NmAf8Cbi23kiN9nHgx5J+DjzTt9N2rjNpzbPA5ylm7/X9MjXwytoStSgnd9sk6d0UHTo3B84EXgZ8yvYptQZrOEnTKGb03FJzlMaSdBnFL88XjEnb/nRtoRpM0r3A1rb/WHeWdqXwR+0kbTXc47ZvHK0s44mk22xvVneO8aL8Rbq37afqztKuDPW0SNKwJ3nydXpEThzmMfPCNrhR3Y8l7Wr7srqDjBOLgZslXckLh84ynbOHrFp3gPHC9hvrzjBOvQ/4F0nPUJyLynTO9vyQcdLkLkM9MWYMsZrRQorpiPNHO09Ef5L2BC4pZ541Wgp/myR9eZDdC4G5ti8c7TxNJukSYDvgynLXjhSzezYCjrV9dk3RGknSBcAZwE/GQ7Gqm6RzKP59XgB8w3Zj1zTOPP72TQK2pFgp6m6K2T3rAYdK+lKdwRpoIvB/bL+17HU0nWKMfxvgE7Uma6avUVxQeLek4yRtWnegJrP9DuB1wO+Ab0q6VtLhkho37Jsj/jZJ+jWwfbm4dV/r218AO1AMUUyvM1+TSLqj/+clScDttqdLusn262qM11iSVgMOoJh//r8U10mcY3vJsE+MQUlaCzgI+DDFVfobA1+2fXKtwUYgR/ztW4Ni7n6fVYA1y18Ezwz+lBjCVZIuljRL0izgwnLfKsATNWdrpLJIvQt4N3ATcBKwFTCnxliNJGmmpB8AV1Gsq7217d0o2ox8tM5sI5VZPe07gWKK11UUsybeAHyuLFaX1xmsgY6g6C2zQ7l9FnBB2XIgM39GqCxSm1L0k9rTdt+iId+RNLe+ZI31VuC/bF/df6ftpyQdWlOmlmSopwPKhVi2LjdvsP1gv8dea/v2epKNL5Kutb1d3TmaQtIbbV+5/J+MXpPC32WSbrQ97JWpUU3G+asZYlrsX9j+/mhlGQ8kLeKFS1aq3/1GXheRoZ7u0/J/JCrKUUo1ew7zmIEU/hGw3bhZO8uTwt99KVYxqmwfXHeG8UrSFsDflZtXN7WJYGb1RJPk29MISFpN0hclzS1vJ5ZTO6MFkj4EnEvRdn0d4FxJH6g3VWsyxt9lkn5te9u6czRBORPqadvPS3o18Brg0r755pI2s31brSEbpLxy9zZgdrnrIGAL28OeA4jBSboF2M724nJ7FeBa25vXm2zkUvjbJGl74GbbiyW9g2KO9Em27685WuNImkfxNXoN4JfADcCztg+sNVhDSbrZ9pbL2xfVSLoVeL3tP5fbkyhm8f11vclGLkM97fsa8FQ59vdRisu5szh4a1T2Ot8H+Krt/SgWsY/WPC2p75qIvoOUp2vM03RnAtdJ+ndJn6ZYeP2MmjO1JCd327fUtiXtBXzF9hlNu5hjDJGk7Sj6y/R9hivUmKfp3gfMLsf1BTwGzKo3UnPZ/mJ5oeYOFJM2DrZ9U72pWpPC375Fko4G3gG8QdIEisu5Y+Q+DBwN/MD27ZJeybJOnTFCtm8GtigXrsf2kzVHGi9EUfgbO9kgY/xtkvRXwNspxvp+IWkDYEfbGe5pQ/kL9GUpVq0r+/Qcw7Ij1Gso2ls/WmuwhpL0KWA/irbMAvYGzrf92VqDtSCFv03lmf0/235usJkoUZ2k84D3As9RnNidTHGi/PO1BmsoSXOAq4Fzyl0HUhyUvKm+VM0l6S6KWVF9J3dfSjGxo3HtrnNyt31XAy+R9ArgMoopc9+sNVFzTS+P8PcGLqVYgOWgeiM12rq2P2P79+Xts8DUukM12IMU62/0eQnwQE1Z2pLC377BZqJsVnOmplpR0ooUhf+i8ltTvpK27jJJb5M0obztD/y07lANthC4XdI3JZ1JcY3EE5K+PMRKfGNWTu62b7CZKPmF2pqvA/cBvwGulrQhkDH+1h1GccK8b8nKFYDFkt5DQ5uL1ewH5a3PVTXlaFvG+Nsk6Q3AvwC/tH18ORPlw7Y/WHO0cUHSRNtL684xHqVleGdJuqBcMnTMS+GPMUXS7hQXbf1lLNX2sfUlGr/SMryzmtQ2PEM9bZI0Bfg4Ly5WO9UWqqEknQKsTLHa1unAvsD1tYYa3xo7D32MasxRdMai23cu8FuKGSifphijvqHOQA32t7bfCTxu+9PAdsCra840njWmUEVnpfC3by3bZwBLbP/c9iFAjvZb09dH5ilJLweWAOvWmCdiJBrzDSpDPe3ru1DroXJ8+kFgzRrzNNnFklYHPg/cSHFEenq9kca1Z+sO0FSS1gDWH7AQyyfqyjNSObnbJkl7AL8A1gdOprja9NO2L6o1WMNJegkwyfbCurM0VVqGd1bZoG0mxQHzPGA+xWy+I+vM1YoU/qhdFgfvjnLhkC2AzSmuJj8d2N/239eZq6n6Zu1IejfF0f4xkm5p4kIsGeppkaSTGebkWObxj0gWB++OtAzvrImS1gX2Bz5Zd5h2pPC3bm7dAcaLLA7eNWkZ3lnHUrS8uMb2DeXFmnfXnKklGeqJMUPSYGOlC4F5ZW/5GIG0DI+hpPC3SdKPePGQz0KKbwRf72vhGstXtmWeAfyo3LUHcAswjaLv+Qk1RWuktAzvLEknAJ+lmHb8E4pzJx+xfc6wTxyDMo+/ffcCfwJOK29PAosoLjw6rcZcTbQesJXtj9r+KPA3wDrAG4B31RmsodIyvLN2LduG70FxoebGwMdqTdSijPG3729tv77f9o8k3WD79ZLSAGtk1gGe6be9BJhq+2lJzwzxnBiabD9VntD9qu0TJP2m7lAN1lcvd6f4BrpQasw1Wy+Qwt++l0nawPb/AJTjqC8rH8sFMiNzLnCdpAvL7T2B88ohizvqi9VYaRneWRdL+i3FUM/7yj5djRzKzRh/myT9I3AK8DuKS7Y3At5P0av7MNtfqi9d80iaAWxfbv7S9tx+j61h+/F6kjVPWoZ3nqQ1gYXleZOVgcm2H64710il8HdAeZXpa8rNu/qf0JW0i+059SQbX9JGOOomaTNgOi/sxNu4WVIp/F2WYtU5Tep3PhakZXhnSToG2JGi8P8Y2I1iTv++deZqRcb7uq+ZZ3/GphyljExahnfWvsDOwMPlRYdbAKvVG6k1Kfzdl2IVdUnL8M562vbzwFJJkymatK1fc6aWZFZPNEm+PY1MWoZ31tyybfhpFN05/wRcW2+k1mSMv02S5AEfoqSX2H6mvP9928N2n4yCpLNtHzTUPklr2n6snnTNk5bh3SNpGsWMnluW86NjUgp/myR9o/wK3bf9MuBC2zvXGKuRBp4Il7QCcKvt6TXGih4nadjJGbZvHK0snZKhnvb9QdJXbb+/XJXnEtKqYUTKDpL/CrxU0pN9uykugDu1tmANlZbhHXfiMI+ZBp43yRF/B5TNmyZT9JY5zvYFNUdqJEn/afvounM0naRZwz1ue/ZoZYmxKYW/RQNWjRLwb8D1FF37smpUi8qGYhvS79uo7avrSxRRGGKluIUUw5HzRztPO1L4WyTpzGEedv9x/6hG0nHA2yj68jxX7rbtmfWlaq60DO8sSZcA2wFXlrt2pJjdsxFwrO2za4o2Yin8MWZIugvYvG9GVLRH0knAFOBb5a5/omgbbooZKQcN9dx4MUk/Bd5p+5FyeypwFnAAcLXtzerMNxI5udsmSbOBD9l+otxeAzgxR/wtuZdiacAU/s5Iy/DOWr+v6Jfml/sek9SoxW1S+Nu3eV/RB7D9uKT0k2nNU8DNkq6gX/HPLJSWpWV4Z10l6WLg/HL7reW+VYAnhn7a2JPC374J/dsFl21b87m25qLyFp3xUeAaSS9oGV4WqszsGbkjgH2AHcrts4ALygs431hbqhZkjL9Nkt5JMQf9fIr/XPsC/9GkEz0xfqVl+OiRdK3t7erOUUUKfwdIei3LfuP/zHZWi2qBpN8zyIVHtl9ZQ5xxLy3DO6tJbfPEpVoAAAsXSURBVMMzJNEBtm+XtICy53n/cdUYkRn97k8C9iNNxbopTe86qzFH0WnL3CZJMyXdDfwe+DlFz/NLaw3VULYf7Xd7oFy2cve6c41jjSlU0Vk54m/fZ4Btgcttv07SG4F31JypkQY0w5pA8Q0g/0ajKRrzDSr/qdq3xPajkiZImmD7SklZYL01/ZthLaX49rR/PVGab3ktwyk+36hI0m62Lx2w7722Tyk3G3NBXAp/+54oWzFfDZwraT6wuOZMjWS7UVPiGuAM4EUtwymWDyTrRIzYv0l6xvbPACR9nGJSxykAtm+rM9xIZIy/fXtRXHj0EYoGbb8D9qw1UUNJWk3SFyXNLW8nSmrkmqZjxB8kfRX+ckX5ZcA59UZqtJnA5yT9naT/ALah+P/fOJnO2YZyoZDLc6TaGZIuAG5j2cVFBwFb5Mi0dWkZ3lmS1gEup2jOdsjAobSmSOFvU9leYB/bC+vO0nSSbra95fL2xfDSMryzJC2imAGl8s+VKM5BmaJ77OQa47UkY/zt+xNwq6Q59BvbT3+ZljwtaQfb1wBI2h54uuZMTTRwqPEmiuZ3e1IUqxT+EbC9at0ZOi1H/G0aarWjrHI0cpK2pBjmWY3i6Oox4F22f1NrsAhA0lsorsxfWG6vDuxo+4f1Jhu5FP4uk3SB7bfWnaNJJE0GsP3k8n42hpaW4Z01xFBkY9o09Jehnu5Ln5mKyiOodwLTgIlScT1Mhs1alpbhnTXYLMhG1tBGhm6YfKWq7sfAr4FbgedrzjIepGV4Z82V9EXgv8vtIyhm9zRO/hHEWDLJ9pF1hxhHTgSulfSCluH1Rmq0D1DMkPpOuT2Hovg3Tsb4u6ypY4B1kPQRillSF/PCFbgeqy1Uw6VleAwmhb/LJO1q+7K6czSBpCMojkifYNkQmdOPvz3lRUeT+rbTMrw1kqYAHwdeyws/z51qC9WiDPW0qZxr/u/AhhSfp+hXrFL0R+SjwMa2/1h3kPFA0kyK4Z6XUywMviFwJ0XhipE7l2KYZw/gvcAsYEGtiVqUwt++Myj69MwDnqs5S9PdQ9H3KDojLcM7ay3bZ0j6kO2fAz+XdEPdoVqRwt++hQNbtUbLFgM3S7qSF47xZzpna9IyvLOWlH8+JGl34EEaukJcCn/7rpT0eYrL4PsXqxvri9RYPyxv0RlpGd5Zny27xX4UOJmi+d1H6o3UmpzcbVN5dDqQm3jCZ6zLVdAjI2kVil5HE4ADKVphnGv70VqDRe1S+KMxMjW2urQM7zxJrwROArajuMDwWuAjtu+tNVgLshBLmyRNlXSGpEvL7emSDq071ziVo5SKbD8HPJ+FbDrqPOC7wF9RzJQ6H/hWrYlalMLfvm8CP6X4hwDw/4AP15YmYpm+luFnSPpy363uUA22su2zbS8tb+fQbz5/k+TkbvvWtv1dSUcD2F4qKdM6u0N1B2iY75Pe+20rexwBXCrpKODbFN8+/4miv1TjpPC3b7GktSiHISRtC2Q1rhZJeimwge27Bnn4E6Odp8mWtyZETpZXNo9lK3ABvKffYwaOHvVEbcrJ3TZJ2opiatdmFOvFTgH2tX1LrcEaSNKewBeAlWxvVC7McqztmTVHG5dysryzJO1ie07dOapI4e8ASROBTSmOCO6yvWQ5T4lBSJoH7ARc1VeQJN1q+6/rTTY+SbrR9lZ15xgvmvR5ZqinTZImAe8HdqD42vcLSafY/nO9yRppie2FfQuwlHJkEk3RmHNQKfztOwtYRDHcA/B24Gxgv9oSNdftkt4OrCBpE+CDwK9qzjSeNaZQNURjDlJS+Nu3me3p/bavlJSe5635APBJitYX36KYJvuZWhONbzlZ3qNS+Nt3o6Rtbf8aQNI2wNyaMzWS7acoCv8nyytPV8mQWevSMnzU3Vd3gKpycrdNku6kOLH7PxRf9TYE7gKWUvwn27zGeI0i6TyKPufPATdQNME6yfbnaw3WUJJ+yyAtw9OrZ2Qk7TPc47Ybd61ECn+bJG0IrAH8XbnraooVpACwfX8duZpI0s22t5R0ILAVcBQwL788WyPpOtvb1J2j6SSdWd5dB/hb4Gfl9huBX9neo5ZgbchQT/v2Bt5NcYWkKE7snmb75GGfFYNZUdKKFJ/pV2wvkZQjk9alZXgH2D4YQNJlwHTbD5Xb61K0bGmcFP72HQpsa3sxgKTjKbr2pfCP3Ncpxkl/A1xdfpt6stZEzdZ3tD+j3z5TXCsRI7d+X9EvPQJsUFeYdmSop02SbgVe33cSspzXf0MuOuoMSRNtL607R4SkrwCbsKwj5z8B99j+QH2pWpMj/vadCVwn6Qfl9t4U6/DGCJUthI8B3lDu+jlwLOl91BJJU4HPAS+3vZuk6cB2tvPvswW2/1nSW1j27/NU2z8Y7jljVY74O6Ds17NDufkL2zfVmaepJF1A0e+or7nYQcAWtoedVRGDK9eIOBP4pO0tytYiN+XbaOvK4cdNbF8uaWVgBduL6s41Uin8MWb0zepZ3r6oRtINtl/fvxlbPs/WSToMOBxY0/aryqvLT7G9c83RRiwLscRY8rSkvm9OfRcgPV1jnqZLy/DOOgLYnnLCge27KaZ4Nk7G+GMseR8wuxzrF/AY8K5aEzXbkcBFwKsk/ZKyZXi9kRrtGdvP9jURLIfOGjlkkqGeGHMkTQawnamcbUrL8M6RdALFxZnvpOgr9X7gDtufrDVYC1L4o3aSjhzucdtfHK0s48lgLcMpxqTT/6gFkiZQXLezK8Uv0p/aPq3eVK3JUE+MBauWf/Zf3o5++6I1aRneWR+wfRLwl2Iv6UPlvkbJEX+MGZJmAx+y/US5vQZwou1D6k3WTJLuGNAyfNB9Uc1gK2w1dfnKHPHHWLJ5X9EHsP24pMb9pxpD0jK8AyQdQPFtaSNJF/V7aFWKCQiNk8IfY8kESWvYfhxA0prk32g7/gb4laQXtAwv24ykZXh1vwIeAtYGTuy3fxFwSy2J2pT/VDGWnAhcK+n8cns/4D9qzNN0b2aYluFRTdla/X5gu7qzdEou4Ioxw/ZZwD4UXQ8fAfaxfXa9qRptb4qTuWtTzOE/G5hp+/6sEzFykraVdIOkP0l6VtJzkho55TgndyPGKUm3UDRl62sZvgpwbYZ4WiNpLvA24HyKVtfvBF5t++hag7UgR/wR45fot+RieX/gdNkYAdv3UDRme872mRTDaY2TMf6I8SstwzvrKUkrATeXV/E+REMPnjPUEzGOpWV455QtmecDK1IsYr8a8NXyW0CjpPBHRPSYDPVERAyj77qHoR5v4snyHPFHRAyjHOIZUhOnxqbwR0T0mAz1RERUIGkRy4Z8VqI4ybvY9uT6UrUmhT8iogLbfe3DUbEM117AtvUlal2GeiIiWpS2zBER45ikffptTqBo29DI1cxS+CMiqtmz3/2lwH0Uwz2Nk6GeiIge08g+ExERo03SCZImS1pR0hWSFkh6R925WpHCHxFRza62nwT2oBjm2Rj4WK2JWpTCHxFRTd850d2B820vrDNMO3JyNyKimosl/RZ4GnifpCk0dFZPTu5GRFQkaU1goe3nJK0MTLb9cN25RipH/BER1b0GmCapf+08q64wrUrhj4ioQNLZwKuAm1m2pKVpYOHPUE9ERAWS7gSmexwUzczqiYio5jbgr+oO0QkZ6omIqGZt4A5J1wPP9O20PbO+SK1J4Y+IqObf6w7QKRnjj4joMTnij4gYhqRrbO8wYAUuAAFu4gpcOeKPiOgxmdUTEdFjUvgjInpMCn9ERI9J4Y+I6DEp/BERPeb/A/wy5VqVv2CEAAAAAElFTkSuQmCC\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "models = ['open_rack_glass_glass',\n", - " 'close_mount_glass_glass',\n", - " 'open_rack_glass_polymer',\n", - " 'insulated_back_glass_polymer']\n", - "\n", - "temps = pd.Series(dtype=float)\n", - "\n", - "for model in models:\n", - " params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm'][model]\n", - " temps[model] = pvlib.temperature.sapm_cell(1000, 20, 5, **params)\n", - "\n", - "temps.plot(kind='bar')\n", - "plt.ylabel('temperature (deg C)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Sandia-inverter-model" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": " ABB__MICRO_0_25_I_OUTD_US_208__208V_ \\\nVac 208 \nPso 2.08961 \nPaco 250 \nPdco 259.589 \nVdco 40 \nC0 -4.1e-05 \nC1 -9.1e-05 \nC2 0.000494 \nC3 -0.013171 \nPnt 0.075 \nVdcmax 50 \nIdcmax 6.48972 \nMppt_low 30 \nMppt_high 50 \nCEC_Date NaN \nCEC_Type Utility Interactive \n\n ABB__MICRO_0_25_I_OUTD_US_240__240V_ \\\nVac 240 \nPso 2.24041 \nPaco 250 \nPdco 259.492 \nVdco 40 \nC0 -3.9e-05 \nC1 -0.000132 \nC2 0.002418 \nC3 -0.014926 \nPnt 0.075 \nVdcmax 50 \nIdcmax 6.4873 \nMppt_low 30 \nMppt_high 50 \nCEC_Date NaN \nCEC_Type Utility Interactive \n\n ABB__MICRO_0_3_I_OUTD_US_208__208V_ \\\nVac 208 \nPso 1.84651 \nPaco 300 \nPdco 311.669 \nVdco 40 \nC0 -3.3e-05 \nC1 -0.000192 \nC2 0.000907 \nC3 -0.031742 \nPnt 0.09 \nVdcmax 50 \nIdcmax 7.79173 \nMppt_low 30 \nMppt_high 50 \nCEC_Date NaN \nCEC_Type Utility Interactive \n\n ABB__MICRO_0_3_I_OUTD_US_240__240V_ \\\nVac 240 \nPso 1.95054 \nPaco 300 \nPdco 311.581 \nVdco 40 \nC0 -3.4e-05 \nC1 -0.000256 \nC2 0.002453 \nC3 -0.028223 \nPnt 0.09 \nVdcmax 50 \nIdcmax 7.78952 \nMppt_low 30 \nMppt_high 50 \nCEC_Date NaN \nCEC_Type Utility Interactive \n\n ABB__MICRO_0_3HV_I_OUTD_US_208__208V_ \\\nVac 208 \nPso 1.76944 \nPaco 300 \nPdco 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\nCEC_Date NaN \nCEC_Type Utility Interactive \n\n ABB__PVI_12_0_I_OUTD_x_US_480_y__480V_ \\\nVac 480 \nPso 62.5547 \nPaco 12000 \nPdco 12358.8 \nVdco 370 \nC0 -1.009e-06 \nC1 -5.6e-05 \nC2 -0.001437 \nC3 -0.007112 \nPnt 0.4 \nVdcmax 416 \nIdcmax 33.4022 \nMppt_low 250 \nMppt_high 416 \nCEC_Date NaN \nCEC_Type Utility Interactive \n\n ABB__PVI_3_0_OUTD_S_US__208V_ ... 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C1-9.1e-05-0.000132-0.000192-0.000256-0.000196-0.000227-3.6e-05-4.9e-05-5.6e-05-1.1e-05...-7.5e-05-9.8e-055.7e-055.5e-056.1e-053.6e-053.5e-052.8e-053.4e-054.4e-05
C20.0004940.0024180.0009070.0024530.001959-0.0005260.000305-0.00052-0.0014370.000999...0.0005440.0002310.0020010.0017030.0020530.0017080.0014170.0013810.0005860.00126
C3-0.013171-0.014926-0.031742-0.028223-0.023725-0.041214-0.002351-0.003855-0.007112-0.000287...-0.0003380.1210320.0006230.0003150.001530.000860.0012180.0008890.0001950.000367
Pnt0.0750.0750.090.090.090.090.10.40.40.1...0.9540.0690.330.60.750.91.051.381.441.56
Vdcmax505050506060416416416480...40049380380400380400400400400
Idcmax6.489726.48737.791737.789526.942696.9334432.77628.441933.402210.1365...8.841746.140766.5609610.863712.077214.408713.847318.88918.889819.2245
Mppt_low303030303030220220250100...10030100100100100100100100240
Mppt_high505050506060416416416480...40049380380400380400400400400
CEC_DateNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
CEC_TypeUtility InteractiveUtility InteractiveUtility InteractiveUtility InteractiveUtility InteractiveUtility InteractiveUtility InteractiveUtility InteractiveUtility InteractiveUtility Interactive...Utility InteractiveUtility InteractiveUtility InteractiveUtility InteractiveUtility InteractiveUtility InteractiveUtility InteractiveUtility InteractiveUtility InteractiveUtility Interactive
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16 rows × 3264 columns

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" - }, - "metadata": {}, - "execution_count": 13 - } - ], - "source": [ - "inverters = pvsystem.retrieve_sam('sandiainverter')\n", - "inverters" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "vdcs = pd.Series(np.linspace(0,50,51))\n", - "idcs = pd.Series(np.linspace(0,11,110))\n", - "pdcs = idcs * vdcs\n", - "\n", - "pacs = inverter.sandia(vdcs, pdcs, inverters['ABB__MICRO_0_25_I_OUTD_US_208__208V_'])\n", - "#pacs.plot()\n", - "plt.plot(pdcs, pacs)\n", - "plt.ylabel('ac power')\n", - "plt.xlabel('dc power');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Need to put more effort into describing this function." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### DC model" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This example shows use of the Desoto module performance model and the Sandia Array Performance Model (SAPM). Both models reuire a set of parameter values which can be read from SAM databases for modules.\n", - "\n", - "Foe the Desoto model, the database content is returned by supplying the keyword `cecmod` to `pvsystem.retrievesam`." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": " A10Green_Technology_A10J_S72_175 A10Green_Technology_A10J_S72_180 \\\nTechnology Mono-c-Si Mono-c-Si \nBifacial 0 0 \nSTC 175.091 179.928 \nPTC 151.2 155.7 \nA_c 1.3 1.3 \nLength 1.576 1.576 \nWidth 0.825 0.825 \nN_s 72 72 \nI_sc_ref 5.17 5.31 \nV_oc_ref 43.99 44.06 \nI_mp_ref 4.78 4.9 \nV_mp_ref 36.63 36.72 \nalpha_sc 0.002146 0.002204 \nbeta_oc -0.159068 -0.159321 \nT_NOCT 49.9 49.9 \na_ref 1.9817 1.98841 \nI_L_ref 5.1757 5.31615 \nI_o_ref 1.14916e-09 1.22524e-09 \nR_s 0.316688 0.299919 \nR_sh_ref 287.102 259.048 \nAdjust 16.0571 16.419 \ngamma_r -0.5072 -0.5072 \nBIPV N N \nVersion SAM 2018.11.11 r2 SAM 2018.11.11 r2 \nDate 1/3/2019 1/3/2019 \n\n A10Green_Technology_A10J_S72_185 A10Green_Technology_A10J_M60_220 \\\nTechnology Mono-c-Si Multi-c-Si \nBifacial 0 0 \nSTC 184.702 219.876 \nPTC 160.2 189.1 \nA_c 1.3 1.624 \nLength 1.576 1.632 \nWidth 0.825 0.995 \nN_s 72 60 \nI_sc_ref 5.43 7.95 \nV_oc_ref 44.14 36.06 \nI_mp_ref 5.03 7.3 \nV_mp_ref 36.72 30.12 \nalpha_sc 0.002253 0.004357 \nbeta_oc -0.15961 -0.130681 \nT_NOCT 49.9 50.2 \na_ref 1.98482 1.67309 \nI_L_ref 5.43568 7.95906 \nI_o_ref 1.16164e-09 3.34415e-09 \nR_s 0.311962 0.140393 \nR_sh_ref 298.424 123.168 \nAdjust 15.6882 21.8752 \ngamma_r -0.5072 -0.5196 \nBIPV N N \nVersion SAM 2018.11.11 r2 SAM 2018.11.11 r2 \nDate 1/3/2019 1/3/2019 \n\n A10Green_Technology_A10J_M60_225 A10Green_Technology_A10J_M60_230 \\\nTechnology Multi-c-Si Multi-c-Si \nBifacial 0 0 \nSTC 224.986 230.129 \nPTC 193.5 204.1 \nA_c 1.624 1.624 \nLength 1.632 1.632 \nWidth 0.995 0.995 \nN_s 60 60 \nI_sc_ref 8.04 8.1 \nV_oc_ref 36.24 36.42 \nI_mp_ref 7.44 7.58 \nV_mp_ref 30.24 30.36 \nalpha_sc 0.004406 0.007857 \nbeta_oc -0.131334 -0.130748 \nT_NOCT 50.2 46.4 \na_ref 1.67178 1.68048 \nI_L_ref 8.04721 8.10361 \nI_o_ref 3.01424e-09 3.09549e-09 \nR_s 0.14737 0.152058 \nR_sh_ref 164.419 340.983 \nAdjust 20.6984 21.5544 \ngamma_r -0.5196 -0.493 \nBIPV N N \nVersion SAM 2018.11.11 r2 SAM 2018.11.11 r2 \nDate 1/3/2019 1/3/2019 \n\n A10Green_Technology_A10J_M60_235 A10Green_Technology_A10J_M60_240 \\\nTechnology Multi-c-Si Multi-c-Si \nBifacial 0 0 \nSTC 235.008 240.538 \nPTC 208.7 213.3 \nA_c 1.624 1.624 \nLength 1.632 1.632 \nWidth 0.995 0.995 \nN_s 60 60 \nI_sc_ref 8.23 8.32 \nV_oc_ref 36.72 36.84 \nI_mp_ref 7.68 7.83 \nV_mp_ref 30.6 30.72 \nalpha_sc 0.007983 0.00807 \nbeta_oc -0.131825 -0.132256 \nT_NOCT 46.4 46.4 \na_ref 1.69698 1.69423 \nI_L_ref 8.23464 8.32177 \nI_o_ref 3.24284e-09 2.97878e-09 \nR_s 0.151504 0.150077 \nR_sh_ref 268.701 706.27 \nAdjust 21.8719 20.881 \ngamma_r -0.493 -0.493 \nBIPV N N \nVersion SAM 2018.11.11 r2 SAM 2018.11.11 r2 \nDate 1/3/2019 1/3/2019 \n\n A2Peak_Power_POWER_ON_P220_6x10 Aavid_Solar_ASMS_165P ... \\\nTechnology Multi-c-Si Multi-c-Si ... \nBifacial 0 0 ... \nSTC 219.978 164.85 ... \nPTC 195 146.3 ... \nA_c 1.633 1.301 ... \nLength 1.633 1.575 ... \nWidth 1 0.826 ... \nN_s 60 72 ... \nI_sc_ref 7.98 5.25 ... \nV_oc_ref 36.72 43.5 ... \nI_mp_ref 7.26 4.71 ... \nV_mp_ref 30.3 35 ... \nalpha_sc 0.00399 0.001575 ... \nbeta_oc -0.12852 -0.170955 ... \nT_NOCT 47.9 45 ... \na_ref 1.59703 1.96463 ... \nI_L_ref 8.00023 5.27415 ... \nI_o_ref 7.85133e-10 1.19571e-09 ... \nR_s 0.229644 0.595855 ... \nR_sh_ref 90.5774 129.523 ... \nAdjust 12.2172 7.16388 ... \ngamma_r -0.46 -0.519 ... \nBIPV N N ... \nVersion SAM 2018.11.11 r2 SAM 2018.11.11 r2 ... \nDate 1/3/2019 1/3/2019 ... \n\n Zytech_Solar_ZT275P Zytech_Solar_ZT280P Zytech_Solar_ZT285P \\\nTechnology Multi-c-Si Multi-c-Si Multi-c-Si \nBifacial 0 0 0 \nSTC 275.014 280.329 285.326 \nPTC 248 252.6 257.3 \nA_c 1.931 1.931 1.931 \nLength 1.95 1.95 1.95 \nWidth 0.99 0.99 0.99 \nN_s 72 72 72 \nI_sc_ref 8.31 8.4 8.48 \nV_oc_ref 45.1 45.25 45.43 \nI_mp_ref 7.76 7.87 7.97 \nV_mp_ref 35.44 35.62 35.8 \nalpha_sc 0.004014 0.004057 0.004096 \nbeta_oc -0.144275 -0.144755 -0.145331 \nT_NOCT 46.4 46.4 46.4 \na_ref 1.81027 1.81485 1.8201 \nI_L_ref 8.32377 8.41015 8.4867 \nI_o_ref 1.24062e-10 1.2341e-10 1.21696e-10 \nR_s 0.566493 0.552584 0.543536 \nR_sh_ref 341.758 457.468 687.561 \nAdjust 5.42178 5.27464 5.06509 \ngamma_r -0.4308 -0.4308 -0.4308 \nBIPV N N N \nVersion SAM 2018.11.11 r2 SAM 2018.11.11 r2 SAM 2018.11.11 r2 \nDate 1/3/2019 1/3/2019 1/3/2019 \n\n Zytech_Solar_ZT290P Zytech_Solar_ZT295P Zytech_Solar_ZT300P \\\nTechnology Multi-c-Si Multi-c-Si Multi-c-Si \nBifacial 0 0 0 \nSTC 290.036 295.066 300.003 \nPTC 261.9 266.5 271.2 \nA_c 1.931 1.931 1.931 \nLength 1.95 1.95 1.95 \nWidth 0.99 0.99 0.99 \nN_s 72 72 72 \nI_sc_ref 8.55 8.64 8.71 \nV_oc_ref 45.59 45.75 45.96 \nI_mp_ref 8.07 8.16 8.26 \nV_mp_ref 35.94 36.16 36.32 \nalpha_sc 0.00413 0.004173 0.004207 \nbeta_oc -0.145842 -0.146354 -0.147026 \nT_NOCT 46.4 46.4 46.4 \na_ref 1.82278 1.83125 1.84441 \nI_L_ref 8.55196 8.64154 8.80531 \nI_o_ref 1.17172e-10 1.21851e-10 1.31413e-10 \nR_s 0.538499 0.521134 0.515735 \nR_sh_ref 2348.68 2917.76 552.455 \nAdjust 4.66051 4.9013 5.41555 \ngamma_r -0.4308 -0.4308 -0.4308 \nBIPV N N N \nVersion SAM 2018.11.11 r2 SAM 2018.11.11 r2 SAM 2018.11.11 r2 \nDate 1/3/2019 1/3/2019 1/3/2019 \n\n Zytech_Solar_ZT305P Zytech_Solar_ZT310P Zytech_Solar_ZT315P \\\nTechnology Multi-c-Si Multi-c-Si Multi-c-Si \nBifacial 0 0 0 \nSTC 305.056 310.144 315.094 \nPTC 275.8 280.5 285.1 \nA_c 1.931 1.931 1.931 \nLength 1.95 1.95 1.95 \nWidth 0.99 0.99 0.99 \nN_s 72 72 72 \nI_sc_ref 8.87 8.9 9.01 \nV_oc_ref 46.12 46.28 46.44 \nI_mp_ref 8.36 8.46 8.56 \nV_mp_ref 36.49 36.66 36.81 \nalpha_sc 0.004284 0.004299 0.004352 \nbeta_oc -0.147538 -0.14805 -0.148562 \nT_NOCT 46.4 46.4 46.4 \na_ref 1.84915 1.8574 1.86502 \nI_L_ref 8.87402 8.9948 9.10661 \nI_o_ref 1.30106e-10 1.34888e-10 1.38664e-10 \nR_s 0.506611 0.495904 0.488376 \nR_sh_ref 1119.07 767.958 682.292 \nAdjust 5.24155 5.44634 5.57874 \ngamma_r -0.4308 -0.4308 -0.4308 \nBIPV N N N \nVersion SAM 2018.11.11 r2 SAM 2018.11.11 r2 SAM 2018.11.11 r2 \nDate 1/3/2019 1/3/2019 1/3/2019 \n\n Zytech_Solar_ZT320P \nTechnology Multi-c-Si \nBifacial 0 \nSTC 320.42 \nPTC 289.8 \nA_c 1.931 \nLength 1.95 \nWidth 0.99 \nN_s 72 \nI_sc_ref 9.12 \nV_oc_ref 46.6 \nI_mp_ref 8.66 \nV_mp_ref 37 \nalpha_sc 0.004405 \nbeta_oc -0.149073 \nT_NOCT 46.4 \na_ref 1.87378 \nI_L_ref 9.21845 \nI_o_ref 1.44659e-10 \nR_s 0.475581 \nR_sh_ref 604.221 \nAdjust 5.83833 \ngamma_r -0.4308 \nBIPV N \nVersion SAM 2018.11.11 r2 \nDate 1/3/2019 \n\n[25 rows x 21535 columns]", - "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
A10Green_Technology_A10J_S72_175A10Green_Technology_A10J_S72_180A10Green_Technology_A10J_S72_185A10Green_Technology_A10J_M60_220A10Green_Technology_A10J_M60_225A10Green_Technology_A10J_M60_230A10Green_Technology_A10J_M60_235A10Green_Technology_A10J_M60_240A2Peak_Power_POWER_ON_P220_6x10Aavid_Solar_ASMS_165P...Zytech_Solar_ZT275PZytech_Solar_ZT280PZytech_Solar_ZT285PZytech_Solar_ZT290PZytech_Solar_ZT295PZytech_Solar_ZT300PZytech_Solar_ZT305PZytech_Solar_ZT310PZytech_Solar_ZT315PZytech_Solar_ZT320P
TechnologyMono-c-SiMono-c-SiMono-c-SiMulti-c-SiMulti-c-SiMulti-c-SiMulti-c-SiMulti-c-SiMulti-c-SiMulti-c-Si...Multi-c-SiMulti-c-SiMulti-c-SiMulti-c-SiMulti-c-SiMulti-c-SiMulti-c-SiMulti-c-SiMulti-c-SiMulti-c-Si
Bifacial0000000000...0000000000
STC175.091179.928184.702219.876224.986230.129235.008240.538219.978164.85...275.014280.329285.326290.036295.066300.003305.056310.144315.094320.42
PTC151.2155.7160.2189.1193.5204.1208.7213.3195146.3...248252.6257.3261.9266.5271.2275.8280.5285.1289.8
A_c1.31.31.31.6241.6241.6241.6241.6241.6331.301...1.9311.9311.9311.9311.9311.9311.9311.9311.9311.931
Length1.5761.5761.5761.6321.6321.6321.6321.6321.6331.575...1.951.951.951.951.951.951.951.951.951.95
Width0.8250.8250.8250.9950.9950.9950.9950.99510.826...0.990.990.990.990.990.990.990.990.990.99
N_s72727260606060606072...72727272727272727272
I_sc_ref5.175.315.437.958.048.18.238.327.985.25...8.318.48.488.558.648.718.878.99.019.12
V_oc_ref43.9944.0644.1436.0636.2436.4236.7236.8436.7243.5...45.145.2545.4345.5945.7545.9646.1246.2846.4446.6
I_mp_ref4.784.95.037.37.447.587.687.837.264.71...7.767.877.978.078.168.268.368.468.568.66
V_mp_ref36.6336.7236.7230.1230.2430.3630.630.7230.335...35.4435.6235.835.9436.1636.3236.4936.6636.8137
alpha_sc0.0021460.0022040.0022530.0043570.0044060.0078570.0079830.008070.003990.001575...0.0040140.0040570.0040960.004130.0041730.0042070.0042840.0042990.0043520.004405
beta_oc-0.159068-0.159321-0.15961-0.130681-0.131334-0.130748-0.131825-0.132256-0.12852-0.170955...-0.144275-0.144755-0.145331-0.145842-0.146354-0.147026-0.147538-0.14805-0.148562-0.149073
T_NOCT49.949.949.950.250.246.446.446.447.945...46.446.446.446.446.446.446.446.446.446.4
a_ref1.98171.988411.984821.673091.671781.680481.696981.694231.597031.96463...1.810271.814851.82011.822781.831251.844411.849151.85741.865021.87378
I_L_ref5.17575.316155.435687.959068.047218.103618.234648.321778.000235.27415...8.323778.410158.48678.551968.641548.805318.874028.99489.106619.21845
I_o_ref1.14916e-091.22524e-091.16164e-093.34415e-093.01424e-093.09549e-093.24284e-092.97878e-097.85133e-101.19571e-09...1.24062e-101.2341e-101.21696e-101.17172e-101.21851e-101.31413e-101.30106e-101.34888e-101.38664e-101.44659e-10
R_s0.3166880.2999190.3119620.1403930.147370.1520580.1515040.1500770.2296440.595855...0.5664930.5525840.5435360.5384990.5211340.5157350.5066110.4959040.4883760.475581
R_sh_ref287.102259.048298.424123.168164.419340.983268.701706.2790.5774129.523...341.758457.468687.5612348.682917.76552.4551119.07767.958682.292604.221
Adjust16.057116.41915.688221.875220.698421.554421.871920.88112.21727.16388...5.421785.274645.065094.660514.90135.415555.241555.446345.578745.83833
gamma_r-0.5072-0.5072-0.5072-0.5196-0.5196-0.493-0.493-0.493-0.46-0.519...-0.4308-0.4308-0.4308-0.4308-0.4308-0.4308-0.4308-0.4308-0.4308-0.4308
BIPVNNNNNNNNNN...NNNNNNNNNN
VersionSAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2...SAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2SAM 2018.11.11 r2
Date1/3/20191/3/20191/3/20191/3/20191/3/20191/3/20191/3/20191/3/20191/3/20191/3/2019...1/3/20191/3/20191/3/20191/3/20191/3/20191/3/20191/3/20191/3/20191/3/20191/3/2019
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25 rows × 21535 columns

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" - }, - "metadata": {}, - "execution_count": 15 - } - ], - "source": [ - "cec_modules = pvsystem.retrieve_sam('cecmod')\n", - "cec_modules" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": "Technology Mono-c-Si\nBifacial 0\nSTC 219.961\nPTC 200.1\nA_c 1.7\nLength 1.602\nWidth 1.061\nN_s 96\nI_sc_ref 5.1\nV_oc_ref 59.4\nI_mp_ref 4.69\nV_mp_ref 46.9\nalpha_sc 0.004539\nbeta_oc -0.222156\nT_NOCT 42.4\na_ref 2.63593\nI_L_ref 5.11426\nI_o_ref 8.10251e-10\nR_s 1.06602\nR_sh_ref 381.254\nAdjust 8.61952\ngamma_r -0.476\nBIPV N\nVersion SAM 2018.11.11 r2\nDate 1/3/2019\nName: Canadian_Solar_Inc__CS5P_220M, dtype: object" - }, - "metadata": {}, - "execution_count": 16 - } - ], - "source": [ - "cecmodule = cec_modules.Canadian_Solar_Inc__CS5P_220M \n", - "cecmodule" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The Sandia module database is read by the same function with the keyword `SandiaMod`." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": " -0.355 \nC3 -13.0643 \nA0 0.9327 \nA1 0.07283 \nA2 -0.02402 \nA3 0.003819 \nA4 -0.000235 \nB0 1 \nB1 -0.006801 \nB2 0.0007968 \nB3 -3.095e-05 \nB4 4.896e-07 \nB5 -2.78e-09 \nDTC 2.58 \nFD 1 \nA -3.7566 \nB -0.156 \nC4 NaN \nC5 NaN \nIXO NaN \nIXXO NaN \nC6 NaN \nC7 NaN \nNotes Source: CFV Solar Test Lab. Tested 2013. Mo... \n\n Canadian_Solar_CS6X_300M__2013_ \\\nVintage 2013 \nArea 1.91 \nMaterial c-Si \nCells_in_Series 72 \nParallel_Strings 1 \nIsco 8.6388 \nVoco 43.5918 \nImpo 8.1359 \nVmpo 34.9531 \nAisc 0.0005 \nAimp -0.0001 \nC0 1.0121 \nC1 -0.0121 \nBvoco -0.1532 \nMbvoc 0 \nBvmpo -0.1634 \nMbvmp 0 \nN 1.0025 \nC2 -0.171 \nC3 -9.39745 \nA0 0.9371 \nA1 0.06262 \nA2 -0.01667 \nA3 0.002168 \nA4 -0.0001087 \nB0 1 \nB1 -0.00789 \nB2 0.0008656 \nB3 -3.298e-05 \nB4 5.178e-07 \nB5 -2.918e-09 \nDTC 3.2 \nFD 1 \nA -3.6024 \nB -0.2106 \nC4 NaN \nC5 NaN \nIXO NaN \nIXXO NaN \nC6 NaN \nC7 NaN \nNotes Source: CFV Solar Test Lab. Tested 2013. Mo... \n\n LG_LG290N1C_G3__2013_ \\\nVintage 2013 \nArea 1.64 \nMaterial c-Si \nCells_in_Series 60 \nParallel_Strings 1 \nIsco 9.8525 \nVoco 39.6117 \nImpo 9.2473 \nVmpo 31.2921 \nAisc 0.0002 \nAimp -0.0004 \nC0 1.0145 \nC1 -0.0145 \nBvoco -0.1205 \nMbvoc 0 \nBvmpo -0.1337 \nMbvmp 0 \nN 1.0925 \nC2 -0.4647 \nC3 -11.9008 \nA0 0.9731 \nA1 0.02966 \nA2 -0.01024 \nA3 0.001793 \nA4 -0.0001286 \nB0 1 \nB1 -0.0154 \nB2 0.001572 \nB3 -5.525e-05 \nB4 8.04e-07 \nB5 -4.202e-09 \nDTC 3.05 \nFD 1 \nA -3.4247 \nB -0.0951 \nC4 NaN \nC5 NaN \nIXO NaN \nIXXO NaN \nC6 NaN \nC7 NaN \nNotes Source: CFV Solar Test Lab. Tested 2013. Mo... \n\n Sharp_NDQ235F4__2013_ \\\nVintage 2013 \nArea 1.56 \nMaterial mc-Si \nCells_in_Series 60 \nParallel_Strings 1 \nIsco 8.6739 \nVoco 36.8276 \nImpo 8.1243 \nVmpo 29.1988 \nAisc 0.0006 \nAimp -0.0002 \nC0 1.0049 \nC1 -0.0049 \nBvoco -0.1279 \nMbvoc 0 \nBvmpo -0.1348 \nMbvmp 0 \nN 1.0695 \nC2 -0.2718 \nC3 -11.4033 \nA0 0.9436 \nA1 0.04765 \nA2 -0.007405 \nA3 0.0003818 \nA4 -1.101e-05 \nB0 1 \nB1 -0.00464 \nB2 0.000559 \nB3 -2.249e-05 \nB4 3.673e-07 \nB5 -2.144e-09 \nDTC 3.27 \nFD 1 \nA -3.7445 \nB -0.149 \nC4 NaN \nC5 NaN \nIXO NaN \nIXXO NaN \nC6 NaN \nC7 NaN \nNotes Source: CFV Solar Test Lab. Tested 2013. Mo... \n\n Solar_Frontier_SF_160S__2013_ \\\nVintage 2013 \nArea 1.22 \nMaterial CIS \nCells_in_Series 172 \nParallel_Strings 1 \nIsco 2.0259 \nVoco 112.505 \nImpo 1.8356 \nVmpo 86.6752 \nAisc 0.0001 \nAimp -0.0003 \nC0 1.0096 \nC1 -0.0096 \nBvoco -0.3044 \nMbvoc 0 \nBvmpo -0.2339 \nMbvmp 0 \nN 1.2066 \nC2 -0.5426 \nC3 -15.2598 \nA0 0.9354 \nA1 0.06809 \nA2 -0.02094 \nA3 0.00293 \nA4 -0.0001564 \nB0 1 \nB1 -0.0152 \nB2 0.001598 \nB3 -5.682e-05 \nB4 8.326e-07 \nB5 -4.363e-09 \nDTC 3.29 \nFD 1 \nA -3.6836 \nB -0.1483 \nC4 NaN \nC5 NaN \nIXO NaN \nIXXO NaN \nC6 NaN \nC7 NaN \nNotes Source: CFV Solar Test Lab. Tested 2013. Mo... \n\n SolarWorld_Sunmodule_250_Poly__2013_ \\\nVintage 2013 \nArea 1.68 \nMaterial mc-Si \nCells_in_Series 60 \nParallel_Strings 1 \nIsco 8.3768 \nVoco 36.3806 \nImpo 7.6921 \nVmpo 28.348 \nAisc 0.0006 \nAimp -0.0001 \nC0 1.0158 \nC1 -0.0158 \nBvoco -0.1393 \nMbvoc 0 \nBvmpo -0.1449 \nMbvmp 0 \nN 1.226 \nC2 -0.09677 \nC3 -8.51148 \nA0 0.9288 \nA1 0.07201 \nA2 -0.02065 \nA3 0.002862 \nA4 -0.0001544 \nB0 1 \nB1 -0.00308 \nB2 0.0004053 \nB3 -1.729e-05 \nB4 2.997e-07 \nB5 -1.878e-09 \nDTC 3.19 \nFD 1 \nA -3.73 \nB -0.1483 \nC4 NaN \nC5 NaN \nIXO NaN \nIXXO NaN \nC6 NaN \nC7 NaN \nNotes Source: CFV Solar Test Lab. Tested 2013. Mo... \n\n Silevo_Triex_U300_Black__2014_ \nVintage 2014 \nArea 1.68 \nMaterial c-Si \nCells_in_Series 96 \nParallel_Strings 1 \nIsco 5.771 \nVoco 68.5983 \nImpo 5.383 \nVmpo 55.4547 \nAisc 0.0003 \nAimp -0.0003 \nC0 0.995 \nC1 0.005 \nBvoco -0.1913 \nMbvoc 0 \nBvmpo -0.184 \nMbvmp 0 \nN 1.345 \nC2 0.3221 \nC3 -6.7178 \nA0 0.9191 \nA1 0.09988 \nA2 -0.04273 \nA3 0.00937 \nA4 -0.0007643 \nB0 1 \nB1 -0.006498 \nB2 0.0006908 \nB3 -2.678e-05 \nB4 4.322e-07 \nB5 -2.508e-09 \nDTC 3.13 \nFD 1 \nA -3.6866 \nB -0.104 \nC4 NaN \nC5 NaN \nIXO NaN \nIXXO NaN \nC6 NaN \nC7 NaN \nNotes Source: CFV Solar Test Lab. Tested 2014. Mo... \n\n[42 rows x 523 columns]", - "text/html": "
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Advent_Solar_AS160___2006_Advent_Solar_Ventura_210___2008_Advent_Solar_Ventura_215___2009_Aleo_S03_160__2007__E__Aleo_S03_165__2007__E__Aleo_S16_165__2007__E__Aleo_S16_170__2007__E__Aleo_S16_175__2007__E__Aleo_S16_180__2007__E__Aleo_S16_185__2007__E__...Panasonic_VBHN235SA06B__2013_Trina_TSM_240PA05__2013_Hanwha_HSL60P6_PA_4_250T__2013_Suniva_OPT300_72_4_100__2013_Canadian_Solar_CS6X_300M__2013_LG_LG290N1C_G3__2013_Sharp_NDQ235F4__2013_Solar_Frontier_SF_160S__2013_SolarWorld_Sunmodule_250_Poly__2013_Silevo_Triex_U300_Black__2014_
Vintage2006200820092007 (E)2007 (E)2007 (E)2007 (E)2007 (E)2007 (E)2007 (E)...2013201320132013201320132013201320132014
Area1.3121.6461.6461.281.281.3781.3781.3781.3781.378...1.261.631.651.931.911.641.561.221.681.68
Materialmc-Simc-Simc-Sic-Sic-Simc-Simc-Simc-Simc-Simc-Si...a-Si / mono-Simc-Simc-Sic-Sic-Sic-Simc-SiCISmc-Sic-Si
Cells_in_Series72606072725050505050...726060727260601726096
Parallel_Strings1111111111...1111111111
Isco5.5648.348.495.15.27.97.958.18.158.2...5.87388.84498.59358.57538.63889.85258.67392.02598.37685.771
Voco42.83235.3135.9243.543.63030.130.230.330.5...52.004236.892636.807544.292143.591839.611736.8276112.50536.380668.5983
Impo5.0287.497.744.554.657.087.237.387.537.67...5.53838.29558.08227.9638.13599.24738.12431.83567.69215.383
Vmpo32.4127.6127.9235.635.823.323.523.723.924.1...43.120429.06629.201135.083734.953131.292129.198886.675228.34855.4547
Aisc0.0005370.000770.000820.00030.00030.00080.00080.00080.00080.0008...0.00050.00040.00040.00060.00050.00020.00060.00010.00060.0003
Aimp-0.000491-0.00015-0.00013-0.00025-0.00025-0.0003-0.0003-0.0003-0.0003-0.0003...-0.0001-0.0003-0.0003-0.0002-0.0001-0.0004-0.0002-0.0003-0.0001-0.0003
C01.02330.9371.0150.990.990.990.990.990.990.99...1.00151.01161.00610.9991.01211.01451.00491.00961.01580.995
C1-0.02330.063-0.0150.010.010.010.010.010.010.01...-0.0015-0.0116-0.00610.001-0.0121-0.0145-0.0049-0.0096-0.01580.005
Bvoco-0.1703-0.133-0.135-0.152-0.152-0.11-0.11-0.11-0.11-0.11...-0.1411-0.137-0.1263-0.155-0.1532-0.1205-0.1279-0.3044-0.1393-0.1913
Mbvoc0000000000...0000000000
Bvmpo-0.1731-0.135-0.136-0.158-0.158-0.115-0.115-0.115-0.115-0.115...-0.1366-0.1441-0.1314-0.1669-0.1634-0.1337-0.1348-0.2339-0.1449-0.184
Mbvmp0000000000...0000000000
N1.1741.4951.3731.251.251.351.351.351.351.35...1.0291.20731.06861.07711.00251.09251.06951.20661.2261.345
C2-0.764440.01820.0036-0.15-0.15-0.12-0.12-0.12-0.12-0.12...0.2859-0.07993-0.2585-0.355-0.171-0.4647-0.2718-0.5426-0.096770.3221
C3-15.5087-10.758-7.2509-8.96-8.96-11.08-11.08-11.08-11.08-11.08...-5.48455-7.27624-9.85905-13.0643-9.39745-11.9008-11.4033-15.2598-8.51148-6.7178
A00.92810.90670.93230.9380.9380.9240.9240.9240.9240.924...0.91610.96450.94280.93270.93710.97310.94360.93540.92880.9191
A10.066150.095730.065260.054220.054220.067490.067490.067490.067490.06749...0.079680.027530.05360.072830.062620.029660.047650.068090.072010.09988
A2-0.01384-0.0266-0.01567-0.009903-0.009903-0.012549-0.012549-0.012549-0.012549-0.012549...-0.01866-0.002848-0.01281-0.02402-0.01667-0.01024-0.007405-0.02094-0.02065-0.04273
A30.0012980.003430.001930.00072970.00072970.00100490.00100490.00100490.00100490.0010049...0.002278-0.00014390.0018260.0038190.0021680.0017930.00038180.002930.0028620.00937
A4-4.6e-05-0.0001794-9.81e-05-1.907e-05-1.907e-05-2.8797e-05-2.8797e-05-2.8797e-05-2.8797e-05-2.8797e-05...-0.00011182.219e-05-0.0001048-0.000235-0.0001087-0.0001286-1.101e-05-0.0001564-0.0001544-0.0007643
B01111111111...1111111111
B1-0.002438-0.002438-0.002438-0.002438-0.002438-0.002438-0.002438-0.002438-0.002438-0.002438...-0.01053-0.00261-0.007861-0.006801-0.00789-0.0154-0.00464-0.0152-0.00308-0.006498
B20.00031030.000310.000310.00031030.00031030.00031030.00031030.00031030.00031030.0003103...0.0011490.00032790.00090580.00079680.00086560.0015720.0005590.0015980.00040530.0006908
B3-1.246e-05-1.246e-05-1.246e-05-1.246e-05-1.246e-05-1.246e-05-1.246e-05-1.246e-05-1.246e-05-1.246e-05...-4.268e-05-1.458e-05-3.496e-05-3.095e-05-3.298e-05-5.525e-05-2.249e-05-5.682e-05-1.729e-05-2.678e-05
B42.11e-072.11e-072.11e-072.11e-072.11e-072.11e-072.11e-072.11e-072.11e-072.11e-07...6.517e-072.654e-075.473e-074.896e-075.178e-078.04e-073.673e-078.326e-072.997e-074.322e-07
B5-1.36e-09-1.36e-09-1.36e-09-1.36e-09-1.36e-09-1.36e-09-1.36e-09-1.36e-09-1.36e-09-1.36e-09...-3.556e-09-1.732e-09-3.058e-09-2.78e-09-2.918e-09-4.202e-09-2.144e-09-4.363e-09-1.878e-09-2.508e-09
DTC3333333333...2.033.032.552.583.23.053.273.293.193.13
FD1111111111...1111111111
A-3.35-3.45-3.47-3.56-3.56-3.56-3.56-3.56-3.56-3.56...-3.7489-3.5924-3.5578-3.7566-3.6024-3.4247-3.7445-3.6836-3.73-3.6866
B-0.1161-0.077-0.087-0.075-0.075-0.075-0.075-0.075-0.075-0.075...-0.1287-0.1319-0.1766-0.156-0.2106-0.0951-0.149-0.1483-0.1483-0.104
C40.99740.9720.9890.9950.9950.9950.9950.9950.9950.995...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
C50.00260.0280.0120.0050.0050.0050.0050.0050.0050.005...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
IXO5.548.258.495.045.147.87.8588.058.1...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
IXXO3.565.25.453.163.254.925.085.185.395.54...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
C61.1731.0671.1371.151.151.151.151.151.151.15...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
C7-0.173-0.067-0.137-0.15-0.15-0.15-0.15-0.15-0.15-0.15...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
NotesSource: Sandia National Laboratories Updated 9...Source: Sandia National Laboratories Updated 9...Source: Sandia National Laboratories Updated 9...Source: Sandia National Laboratories Updated 9...Source: Sandia National Laboratories Updated 9...Source: Sandia National Laboratories Updated 9...Source: Sandia National Laboratories Updated 9...Source: Sandia National Laboratories Updated 9...Source: Sandia National Laboratories Updated 9...Source: Sandia National Laboratories Updated 9......Source: CFV Solar Test Lab. Tested 2013. Mo...Source: CFV Solar Test Lab. Tested 2013. Mo...Source: CFV Solar Test Lab. Tested 2013. Mo...Source: CFV Solar Test Lab. Tested 2013. Mo...Source: CFV Solar Test Lab. Tested 2013. Mo...Source: CFV Solar Test Lab. Tested 2013. Mo...Source: CFV Solar Test Lab. Tested 2013. Mo...Source: CFV Solar Test Lab. Tested 2013. Mo...Source: CFV Solar Test Lab. Tested 2013. Mo...Source: CFV Solar Test Lab. Tested 2014. Mo...
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" - }, - "metadata": {}, - "execution_count": 17 - } - ], - "source": [ - "sandia_modules = pvsystem.retrieve_sam(name='SandiaMod')\n", - "sandia_modules" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": "Vintage 2009\nArea 1.701\nMaterial c-Si\nCells_in_Series 96\nParallel_Strings 1\nIsco 5.09115\nVoco 59.2608\nImpo 4.54629\nVmpo 48.3156\nAisc 0.000397\nAimp 0.000181\nC0 1.01284\nC1 -0.0128398\nBvoco -0.21696\nMbvoc 0\nBvmpo -0.235488\nMbvmp 0\nN 1.4032\nC2 0.279317\nC3 -7.24463\nA0 0.928385\nA1 0.068093\nA2 -0.0157738\nA3 0.0016606\nA4 -6.93e-05\nB0 1\nB1 -0.002438\nB2 0.0003103\nB3 -1.246e-05\nB4 2.11e-07\nB5 -1.36e-09\nDTC 3\nFD 1\nA -3.40641\nB -0.0842075\nC4 0.996446\nC5 0.003554\nIXO 4.97599\nIXXO 3.18803\nC6 1.15535\nC7 -0.155353\nNotes Source: Sandia National Laboratories Updated 9...\nName: Canadian_Solar_CS5P_220M___2009_, dtype: object" - }, - "metadata": {}, - "execution_count": 18 - } - ], - "source": [ - "sandia_module = sandia_modules.Canadian_Solar_CS5P_220M___2009_\n", - "sandia_module" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Generate some irradiance data for modeling." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "from pvlib import clearsky\n", - "from pvlib import irradiance\n", - "from pvlib import atmosphere\n", - "from pvlib.location import Location\n", - "\n", - "tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')\n", - "\n", - "times_loc = pd.date_range(start=datetime.datetime(2014,4,1), end=datetime.datetime(2014,4,2), freq='30s', tz=tus.tz)\n", - "solpos = pvlib.solarposition.get_solarposition(times_loc, tus.latitude, tus.longitude)\n", - "dni_extra = pvlib.irradiance.get_extra_radiation(times_loc)\n", - "airmass = pvlib.atmosphere.get_relative_airmass(solpos['apparent_zenith'])\n", - "pressure = pvlib.atmosphere.alt2pres(tus.altitude)\n", - "am_abs = pvlib.atmosphere.get_absolute_airmass(airmass, pressure)\n", - "cs = tus.get_clearsky(times_loc)\n", - "\n", - "surface_tilt = tus.latitude\n", - "surface_azimuth = 180 # pointing south\n", - "\n", - "aoi = pvlib.irradiance.aoi(surface_tilt, surface_azimuth,\n", - " solpos['apparent_zenith'], solpos['azimuth'])\n", - "total_irrad = pvlib.irradiance.get_total_irradiance(surface_tilt,\n", - " surface_azimuth,\n", - " solpos['apparent_zenith'],\n", - " solpos['azimuth'],\n", - " cs['dni'], cs['ghi'], cs['dhi'],\n", - " dni_extra=dni_extra,\n", - " model='haydavies')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now we can run the module parameters and the irradiance data through the SAPM functions." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "module = sandia_module\n", - "\n", - "# a sunny, calm, and hot day in the desert\n", - "thermal_params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm']['open_rack_glass_glass']\n", - "temps = pvlib.temperature.sapm_cell(total_irrad['poa_global'], 30, 0, **thermal_params)\n", - "\n", - "effective_irradiance = pvlib.pvsystem.sapm_effective_irradiance(\n", - " total_irrad['poa_direct'], total_irrad['poa_diffuse'],\n", - " am_abs, aoi, module)\n", - "\n", - "sapm_1 = pvlib.pvsystem.sapm(effective_irradiance, temps, module)\n", - "\n", - "sapm_1.plot();" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "def plot_sapm(sapm_data, effective_irradiance):\n", - " \"\"\"\n", - " Makes a nice figure with the SAPM data.\n", - " \n", - " Parameters\n", - " ----------\n", - " sapm_data : DataFrame\n", - " The output of ``pvsystem.sapm``\n", - " \"\"\"\n", - " fig, axes = plt.subplots(2, 3, figsize=(16,10), sharex=False, sharey=False, squeeze=False)\n", - " plt.subplots_adjust(wspace=.2, hspace=.3)\n", - "\n", - " ax = axes[0,0]\n", - " sapm_data.filter(like='i_').plot(ax=ax)\n", - " ax.set_ylabel('Current (A)')\n", - "\n", - " ax = axes[0,1]\n", - " sapm_data.filter(like='v_').plot(ax=ax)\n", - " ax.set_ylabel('Voltage (V)')\n", - "\n", - " ax = axes[0,2]\n", - " sapm_data.filter(like='p_').plot(ax=ax)\n", - " ax.set_ylabel('Power (W)')\n", - "\n", - " ax = axes[1,0]\n", - " [ax.plot(effective_irradiance, current, label=name) for name, current in\n", - " sapm_data.filter(like='i_').iteritems()]\n", - " ax.set_ylabel('Current (A)')\n", - " ax.set_xlabel('Effective Irradiance')\n", - " ax.legend(loc=2)\n", - "\n", - " ax = axes[1,1]\n", - " [ax.plot(effective_irradiance, voltage, label=name) for name, voltage in\n", - " sapm_data.filter(like='v_').iteritems()]\n", - " ax.set_ylabel('Voltage (V)')\n", - " ax.set_xlabel('Effective Irradiance')\n", - " ax.legend(loc=4)\n", - "\n", - " ax = axes[1,2]\n", - " ax.plot(effective_irradiance, sapm_data['p_mp'], label='p_mp')\n", - " ax.set_ylabel('Power (W)')\n", - " ax.set_xlabel('Effective Irradiance')\n", - " ax.legend(loc=2)\n", - "\n", - " # needed to show the time ticks\n", - " for ax in axes.flatten():\n", - " for tk in ax.get_xticklabels():\n", - " tk.set_visible(True)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "plot_sapm(sapm_1, effective_irradiance)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For comparison, here's the SAPM for a sunny, windy, cold version of the same day." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "temps = pvlib.temperature.sapm_cell(total_irrad['poa_global'], 5, 10, **thermal_params)\n", - "\n", - "sapm_2 = pvlib.pvsystem.sapm(effective_irradiance, temps, module)\n", - "\n", - "plot_sapm(sapm_2, effective_irradiance)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "sapm_1['p_mp'].plot(label='30 C, 0 m/s')\n", - "sapm_2['p_mp'].plot(label=' 5 C, 10 m/s')\n", - "plt.legend()\n", - "plt.ylabel('Pmp')\n", - "plt.title('Comparison of a hot, calm day and a cold, windy day');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### SAPM IV curves" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The IV curve function only calculates the 5 points of the SAPM. We will add arbitrary points in a future release, but for now we just interpolate between the 5 SAPM points." - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.simplefilter('ignore', np.RankWarning)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "def sapm_to_ivframe(sapm_row):\n", - " pnt = sapm_row\n", - "\n", - " ivframe = {'Isc': (pnt['i_sc'], 0),\n", - " 'Pmp': (pnt['i_mp'], pnt['v_mp']),\n", - " 'Ix': (pnt['i_x'], 0.5*pnt['v_oc']),\n", - " 'Ixx': (pnt['i_xx'], 0.5*(pnt['v_oc']+pnt['v_mp'])),\n", - " 'Voc': (0, pnt['v_oc'])}\n", - " ivframe = pd.DataFrame(ivframe, index=['current', 'voltage']).T\n", - " ivframe = ivframe.sort_values(by='voltage')\n", - " \n", - " return ivframe\n", - "\n", - "def ivframe_to_ivcurve(ivframe, points=100):\n", - " ivfit_coefs = np.polyfit(ivframe['voltage'], ivframe['current'], 30)\n", - " fit_voltages = np.linspace(0, ivframe.loc['Voc', 'voltage'], points)\n", - " fit_currents = np.polyval(ivfit_coefs, fit_voltages)\n", - " \n", - " return fit_voltages, fit_currents" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "times = ['2014-04-01 07:00:00', '2014-04-01 08:00:00', '2014-04-01 09:00:00', \n", - " '2014-04-01 10:00:00', '2014-04-01 11:00:00', '2014-04-01 12:00:00']\n", - "times.reverse()\n", - "\n", - "fig, ax = plt.subplots(1, 1, figsize=(12,8))\n", - "\n", - "for time in times:\n", - " ivframe = sapm_to_ivframe(sapm_1.loc[time])\n", - "\n", - " fit_voltages, fit_currents = ivframe_to_ivcurve(ivframe)\n", - "\n", - " ax.plot(fit_voltages, fit_currents, label=time)\n", - " ax.plot(ivframe['voltage'], ivframe['current'], 'ko')\n", - " \n", - "ax.set_xlabel('Voltage (V)')\n", - "ax.set_ylabel('Current (A)')\n", - "ax.set_ylim(0, None)\n", - "ax.set_title('IV curves at multiple times')\n", - "ax.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### desoto" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The same weather data run through the Desoto model." - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "photocurrent, saturation_current, resistance_series, resistance_shunt, nNsVth = (\n", - " pvsystem.calcparams_desoto(total_irrad['poa_global'],\n", - " temp_cell=temps,\n", - " alpha_sc=cecmodule['alpha_sc'],\n", - " a_ref=cecmodule['a_ref'],\n", - " I_L_ref=cecmodule['I_L_ref'],\n", - " I_o_ref=cecmodule['I_o_ref'],\n", - " R_sh_ref=cecmodule['R_sh_ref'],\n", - " R_s=cecmodule['R_s']) )" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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k+rBsFhXv5duXFtoHZ4yxA68m7CzesI/eKQmcW2ATeLrLZWP6sutgDaW2/HDMsSJvwkpdQxPLSiqYPyqXHvH29uwu887JQQSWbNjvdxQTYkH9FYlIUjC3GdNV724/QPXJBuuq6WY5aclMGtibVzdakY81wTaV3g3yNmO65JX1+0hNjOeCYXYGqO528ahcisuPsOfwCb+jmBBqt8iLSF8RmQz0FJGJIjLJvcwBUkKS0MSMxiZlycb9zCnMITkh3u84UWf+qFwAllhrPqZ0NITyEuA2oD/w8xa3VwP3eJTJxKjVuw5RdayWi0fn+h0lKg0J9GJYTi9e3biPW6cX+B3HhEhHQygfBx4XketV9ZkQZTIxavGGfSTGxzF3ZI7fUaLWxaNyeeiN7RypqScjxc77EwuC7ZN/UUQ+LSL3iMh3my+eJjMxRVVZvGE/04f1IS3Zio9XLh7dl8YmZVmpddnEimCL/HPANUADcLzFpV0ikiwiH4jIWhHZICL3nn1UE81K9lWz62CNjarx2Lh+GeSmJ/GqDaWMGR31yTfrr6qXnsXz1wJzVfWYiCQAb4nIy6r63lk8l4lir7kHA+edY101XoqLE+aPyuXZD8s5Wd9oB7hjQLAt+XdEZGxnn1wdx9yrCe7FlsIz/+C1kgrGD8gkJy3Z7yhR7+JRfampa+TtrVV+RzEhEGyRnwGsEpFSEVknIsUisi6YB4pIvIisASqAJar6/hnbF4hIkYgUVVZWdi69iQoV1SdZu/swF9kB15A4f0gf0pJ62FDKGBFsd81lZ7sDVW0EJohIJrBQRMao6voW2x8GHgaYMmWKtfJj0OslFYBzTlLjvcQeccwZmcNrm/bT1KR2/twoF1RLXlV3AgNw+td3AjXBPrbFcxwGXgfOpm/fRLGlmyrIz0jmnLw0v6PEjIvOyaHqWB1ryw77HcV4LNi1a74HfBu4270pAXgyiMcF3BY8ItITmA+UnF1UE41O1jfy5pYq5p2Ta0vghtDsEQHi44Rl7rcoE72CbY1fB1yNO2xSVfcAwTS78oDX3f77lTh98i+eTVATnd7dfoAT9Y3MtVE1IZWZksjkQb1ZusmKfLQLtk++TlVVRBRARFKDeZCqrgMmnm04E/2WbtpPSmI804b08TtKzJk3MocfvlzC3iMnyMvo6Xcc45FgW/J/FZGHgEwRuQt4DXjEu1gmFqgqyzZVMGNYto3X9kHznATrsoluHRZ5cTpK/wL8DXgGKAS+q6q/9DibiXKb9laz58hJLrJRNb4YGujFwKwUllmXTVTrsLvG7aZZpKpjgSUhyGRixNJNzjjtOSMDPieJTSLC3JE5/OmDXZyoa6Rnon2bikbBdtd8KCLneprExByb5eq/eefkUNvQxLvbbfZrtAq2yJ8HvCsi2zo749WY1lRW19os1zAwdXAWqYnxNsominXYXeP2yS8Adnofx8QKm+UaHpJ6xDNzeIBlJRWoqs1ViEIdtuRVVYFfq+rOMy8hyGei1Gub9tss1zAx95wc9h45yaa91X5HMR6wPnkTcrUNjby1tYq55+RYyzEMXFjodJm9XmpdNtHI+uRNyH3w0UFq6hrtNH9hIpCWxPgBmadGO5noEuyM10s8TWFiyvLSShJ7xDFtSLbfUYxr3sgc7nttMweO1dKnV5LfcUw3CrYlr21cjOm05aUVnDc4y8Zlh5G5I3NQdT6ATXQJtsi/BLzo/lwKbAde9iqUiV67D9awrfI4cwqtqyacjM5PJzc9yZY4iEJBdde4s11PEZFJwBc9SWSi2vLNTktxTqHNcg0nIsLsEQFeWb+PhsYmesR36nQRJoyd1f+kqn6IczDWmE5ZUVrBgKyeDMkOaiFTE0JzCnM4erKB1bvtRCLRJKiWvIh8vcXVOGASsMeTRCZqnaxv5O2tB7hhcn8bOhmGLhiWTXycsLy0gnMLsvyOY7pJsC35tBaXJJy++Wu8CmWi08odBzlR38iFtiBZWMromcDkgb3t4GuUCbZP/l6vg5joZ0Mnw9/swgA/XVxKRfVJWzguSgR7jtclzedqda/3FpHF3sUy0ciGToa/5gPiK6w1HzWC7a4JqOqpozGqegiwMXAmaDZ0MjKMyksnJy3p1CgoE/mCLfKNIjKw+YqIDMImQ5lOsKGTkaF5KOWbmytpaGzyO47pBsEW+X8H3hKRJ0TkSeAN4G7vYploY0MnI0fzUMo1NpQyKgRV5FX1FZxhk38B/gxMVlXrkzdBqW1o5J1tB5gzwladjAQzhjtDKVdYl01UCHoylKpWqeqL7iWoc4WJyAAReV1ENorIBhH56tlHNZFq5UeHqKlrtK6aCJHRM4FJAzNtKGWU8HrucgPwr6o6Cjgf+JKIjPJ4nybMLC+tIDE+jmlD+/gdxQRpTmEOxeVHqKyu9TuK6SJPi7yq7nWXQEBVq4FNQD8v92nCz/LNlZw3JIuUxGBXtjZ+mz3C+db1hnXZRLxgx8k/EcxtHTxHATAReL8zjzORrexQDVsrjp0qGiYyjM5PJ2BDKaNCsC350S2viEg8MDnYnYhIL+AZ4GuqevSMbQtEpEhEiior7Q0VbZr7dW18fGQ5NZRySyWNTTZaOpK1W+RF5G4RqQbGichR91INVADPBbMDEUnAKfB/VNVnz9yuqg+r6hRVnRIIWGsv2iwvraB/754MDdjQyUgzpzDA4Zp6G0oZ4dot8qr6Q1VNA36qqunuJU1V+6hqh+PkxRkv91tgk6r+vJsymwhxauhkYcCGTkagmcMCxIkzx8FErmDHyd8tIv1EZLqIzGq+BPHQC4B/BuaKyBr3cnmXEpuIcWro5AjrqolEGSkJTBrY2/rlI1yw68n/CPgUsBFodG9WnJmvbVLVtwBrwsWo5qGT04fZ0MlINXtEgJ8t2UzVsVqy7QTfESnYA6/XAYWqermqXuVervYymIl8yzdXMnWwDZ2MZM0HzG0oZeQKtshvBxK8DGKiS/PQSZvlGtlG56eT3SvRZr9GsHabWCLyS5xumRpgjYgsBU5NgVPVr3gbz0Sqj4dOWpGPZHFxwqwRAZaVVNDYpMTHWe9rpOnoe3SR+3MV8LzHWUwUWV5aSb/MngwN9PI7iumiOYU5PPthOWvLDjNpYG+/45hOarfIq+rjoQpiokddQxPvbKviuon9bOhkFJg1PJs4cT64rchHnmCXNSgWkXVnXN4UkftExIZOmNMU7TjorjppQyejQWZKIhMGZNp4+QgV7IHXl4GXgJvdyws4XTn7gN97ksxErBWbK0mIF1t1MorMKcxhbdkRqo7ZqpSRJtgif5Gq3q2qxe7l34HZqvpjoMC7eCYSLS+t5NyCLHol2dDJaNF8AN2GUkaeYIt8vIhMbb4iIucC8e7Vhm5PZSLW3iMnKN1fbatORpkx+Rk2lDJCBdvUuhN4zF1NUoCjwJ0ikgr80KtwJvKssFUno1JcnDBreIBlpTaUMtIEu3bNSlUdC0wAxqvqOFX9QFWPq+pfvY1oIsmKzZX0TU9mRK4NnYw2s91VKdeW2aqUkaSjyVC3qOqTIvL1M24HwFaWNC3VNzbx1pYqrhiXZ0Mno9Cs4QEbShmBOmrJNy8CntbKxZpq5jSrdx2murbB+uOjVO/URMbbUMqI09FkqIfcn/eeuU1EvuZVKBOZlpdWEB8nXDA82+8oxiNzRuRw/9LNHDhWSx9blTIidOVE3l/v+C4mlqzYXMnkgb1JT7a17KLVnMIAqvDGFhtlEym6UuSt09WcUlF9kg17jjLbFiSLamP7ZdAn1YZSRpKuFHk7u6855Y3NVQDWHx/lmlelfGOzneA7UnR0Iu/qFifwbnmpBvJDlNFEgOWlFQTSkhidn+53FOOxOYUBDtXUs86GUkaEjk7kndbiBN4tL2mqanPWDQCNTcqbW6qYNdxO2B0LnP9nrMsmQnSlu8YYANbsPsyRE/V2gpAY0TvVWZXSTvAdGazImy5bsbmSOIGZNnQyZswZkcO6ssMcsFUpw54VedNlKzZXMmFAJpkpiX5HMSHSPJTyzS1VfkcxHbAib7rkwLFa1pUdZvYIW5Aslnw8lNJmv4Y7T4u8iDwmIhUist7L/Rj/vLW1ClU7YXesOTWUcksVTTaUMqx53ZL/PXCpx/swPlpeWklWaiJj+2X4HcWE2JzCAAeP17Gu/IjfUUw7PC3yqvoGcNDLfRj/NDYpKzZXOid6tvXFY87MU0MprcsmnPneJy8iC0SkSESKKittSFYkWbP7MAeP1zH3nFy/oxgfZKUmMr5/po2XD3O+F3lVfVhVp6jqlEDA+nUjybKS/cTHCbOH2/9brJpTGGBtmfNhb8KT70XeRK6lmyqYMqg3GSm26mSsmlOY46xKaROjwpYVeXNW9hw+Qcm+auadY0MnY9m4fhlk2VDKsOb1EMo/Ae8ChSJSJiJ3eLk/EzrLSpw/6rkjrcjHMucE39k2lDKMeT265iZVzVPVBFXtr6q/9XJ/JnSWlVQwMCuFoQE7C2Ssm1OYw8HjdayxVSnDknXXmE47UdfI21urmDsyx1adNMwpDBAfJ7y2cb/fUUwrrMibTnt3exW1DU3WH28AyExJZGpBFkusyIclK/Km05ZuqiA1MZ6pg7P8jmLCxPxRuWypOMZHVcf9jmLOYEXedIqqsqykghnDs0nqEe93HBMm5o9yJsQt2bjP5yTmTFbkTads2HOUvUdOMs9muZoWBmSlcE5eunXZhCEr8qZTXlm/j/g44SIr8uYM80flsmrnITuRSJixIm865ZUN+zhvcBZZqXaCEHO6i0fl0qSwtMQmRoUTK/ImaFsrqtlacYxLRvf1O4oJQ6Pz08nPSLYumzBjRd4EbfEG54/34tHWVWP+kYgwf1Qub26p5ERdo99xjMuKvAna4g37mDAgk7yMnn5HMWHq4tF9OVnfxIrN1mUTLqzIm6CUHz7BurIjXDrGumpM284bnEV2r0ReWLvX7yjGZUXeBOXlYueP1vrjTXt6xMdx+dg8lpbs51htg99xDFbkTZD+vqaccf0zGJyd6ncUE+auGp/Pyfomlm6yA7DhwIq86dDWimOsLz/KNRP6+R3FRIDJA3uTl5HMC2v3+B3FYEXeBOG5NeXECVw1Ps/vKCYCxMUJV47LY8XmSo7U1PsdJ+ZZkTftUlWeW7OHC4Zlk5OW7HccEyGuGp9PfaPyUrEdgPWbFXnTrpU7DrHrYI111ZhOGdsvg8LcNP68cpffUWKeFXnTrqfe30lacg8uH2ujakzwRISbpg5gXdkR1pcf8TtOTLMib9p08Hgdi4r3cf2k/qQk9vA7jokw103sT1KPOGvN+8yKvGnTX4t2U9fYxKfPG+h3FBOBMlISuGJcHgs/LLcDsD6yIm9adbK+kd++9REXDOvDiNw0v+OYCHXnjCEcr2vkD+/u8DtKzLIib1r116LdVFbX8uULh/sdxUSwUfnpzB2Zw2Nvf8RxmwHrC8+LvIhcKiKlIrJVRP7N6/2Zrjtyop5fLN3C1IIszh9i53E1XfMvc4dxqKaeX72+1e8oMcnTIi8i8cCvgcuAUcBNIjLKy32arvuflzZy8Hgd371qFCLidxwT4SYO7M31k/rz6Jvb2bDHRtqEmtct+anAVlXdrqp1wJ+BazzepzlLx2sb+NWyLfy1qIwvzBnKmH4ZfkcyUeKey0fSJzWJBX9Yxepdh2hobPI7UszwelxcP2B3i+tlwHndvZOaugau/fXbp66rfrytxa9oiw0tb6eT99fTHgzaYutp+z7jfp15Xj09YTv/ptOTdHz/tvd99GQ9qnD1+Hy+Pr+w9fDGnIU+vZJ49NYp3PrYB1z3m3dI7BFH3/RkEnvEEW/fFgEYEkjlwVsmd/vz+j74WUQWAAsABg48u6F6cSIMDfQ643lb/M5pV1r79bRuidNvb/3+7T2GNvbd1nO1lfXM9760sZOuPG/L+2elJjFhYCYzh2UTF2d/eKZ7jemXweL/N4s3NldSsq+ayupaahsaabJGPQD9Mr05GY9oW83N7nhykWnAf6rqJe71uwFU9Yet3X/KlClaVFTkWR5jjIlGIrJKVae0ts3rPvmVwHARGSwiicCngOc93qcxxhiXp901qtogIl8GFgPxwGOqusHLfRpjjPmY533yqroIWOT1foi+iDcAAAqXSURBVIwxxvwjm/FqjDFRzIq8McZEMSvyxhgTxazIG2NMFPN0nHxniUglsLMLT5ENVHVTnO5kuTrHcnWO5eqcaMw1SFUDrW0IqyLfVSJS1NaEAD9Zrs6xXJ1juTon1nJZd40xxkQxK/LGGBPFoq3IP+x3gDZYrs6xXJ1juTonpnJFVZ+8McaY00VbS94YY0wLEVXkRcSbBZe7SERS/c7QGhEZIiJhd/YP+3/sHBEZJCKZfuc4k4i0OmQvHEiYnrfSj/d+RBR5EeklIr8CHnVPDB4W56Vzc90PPCYi14tIjt+ZAEQkWUR+g7P6Z/Myz75zX6/7gF+IyJww+3+8D3hSRG4RkUF+Z4JTuX4OvATk+52nmZvrZ8ArIvI/InKB35kARCRNRH4pIoUaZv3QftawiCjywP1AIvAscBPwb/7GARG5EngbqAf+BHwO6P5zd52dG4E+qjpcVV9xz6/rKxHpBTyG83q9AFwBfNPXUICIzADeBE7g5JuJ8x7zlYhMwXl/ZQETVXWjz5EAEJEewK9xVrD9DM5ZJOf5GgoQkWE455C+C/i+z3Fa41sN8/30f20REVFVFZFsnFbMjap6TES2Av9PRO5S1Ud8yBWnqk3AR8Adqlrk3n4jcDTUec4kInFAX+BJ9/qFOLm2q+ohH/KI26rKB4ap6o3u7Qp8R0TWq+qfQ52rhQPAb5rfSyLSHxji/i4+tghPAtuA+1S1XkQmAIeBMlVt8CkTQAAoUNXZACKSAqz1MU+z48BPgWuANSJyqaq+4uf/YbjUsLBryYvISBH5P+ArIpKuqlVAE84nNEAJsBC4UkSyfMy1QVWLRCQgIi8D57vbbnRbrSHNJSJfdXM1ASOAmSLyJeDHwBeBJ0QkL9S5+Pj12gzsFJHPuXepwfmgvEFEeocw11ARub35uqpuAp5q0YdbDgxyt4WsOLSSaz1OS/4rIrIc+CVwH/ATEenjY669gIrI70TkfeBK4GoR+XuI31/DReQBEfm8iPR2c610PwAfAL7r5g15gQ+3GhZWRV5EBuO0QLcB44EH3RbMT4FL3P/MWmAdToGY5EOuccCvROQ8d/NB4ClVHQL8FpgOXOtDrvHA/4nICOCHwKeBkao6FafIbwG+41OuX7n9tvcD94jIg8DPgReBXTjfPEKR64vAKpxW1PXubXGqerxFMZgAhPTsZa3lcv0B54xqC1V1JnCve/0On3NdBTwObFLVEcCdOGtOfTdEuf4Np0iWA3OAh0QkHqfhgNs6bhKRr4YizxnZwq6GhVWRB0YCVar6U5w+7lKcgnkS5yth84nAPwIKcL6i+ZFrK3CFiAxV1UZVfcLN9SqQCVT7lKsEuBU4hnMu3Zlurlqcfud9PuT6PM7rdRnOG3s68DIw233dZuL0h4fCNpyC9B3g0yKS7H7zwS0SAHnAO+5t80Qk149cAKpaCXxDVR9wr6/BeW8dCEGm9nJVAwNw/i6b319vARVeBxJnBNQx4J9U9SfAbcAYYIzbNZLg3vU/gDtEJEFErgrhwfSwq2HhVuTXAydFZKSq1uMUgxSc7oeHgWtF5BMicj5O32CohkmdmWuRm2t6yzuJyDhgMKFb4a61XD2B2cC/Ar1F5DoRmQd8A6flE+pcdXz8el2pquWq+ryqHhaR6TgtwJB8KKrqYpwDX2twvoF9AU615hvd4xl5QKGILMI5sNjkYy5xv+rjXh8HXAjs9TpTG7k+32LzqzjdNJe4B4m/TmjeXzXAM6q6QUSSVPUk8CHONxzcvwNUdTlO4+Eo8CUgVMcxwq6GhVuRTwI2ATMAVHUlzht6iKpuA74FTAUeAR5U1Xd8ylUElAEFIhInIoNF5O84/4kPqurbPubajdOqOYFTpPJwWmIPqOpvfcy1C6flgohki8gjwIPA06oaqpYpbsu9HKd4XSQiw5tb88BQ4GrgBuAPqnqr25r2K5cCiEiWiPwNeBT4pXve5JA4I9d8ERnu3r4f+Hecb46PAPerqufLBahjr/t7rfsNbBJwalCBiCS6XU19gdtV9VJV7dYPIDljTkWLYzrhV8NUNaQXnAOBnwHi2th+J/C/wDT3+vnA+jDNtc79vSdwWxjlKg7n18u9frkfuVrcry/OsYv/cK8Pd39+NcxyjXB/fjLMcjW/Xsk+55oJvNgyp/tzjBe53Of+LrACZxjkbPe2+BbbfalhbeYN2Y6gN85R7wrgFWDwGdub19EZiDN+ehHQC/gUzgHNlDDNlRqmucL19erlR642HlOIc0D6OPCtMM31zTDN9a8dFWAvc7V4n12J8031emAjHjW23H0VuO/nx9zCfTfOHJk0d3uc+zOkf5Md5vZ8B9Cz+SfOV5g44Hfui5DY1n8gztHov+P0cU21XJarG3PFATnA+8B7wEzLFXm53Ps/gnPc5Gkvcrn7SHF/9gHuanH7ZOD3uN8ezniM5+/9oPN79sTOC/IQ8ATOjLiUFtvOBZbhzORr6/ECBCyX5fIoVzIedIFYrtDlct9bd+BdV2nLbBfhzFgVPm6x98f54Gv126lX7/3OXjxbalhE/gTsBz4ALgZ2q+p3Wmz/Gc6M2++oashmilouy+WOWvHkjW+5QpPLy0ydyDYX+Jyq/pOXObrMo0/AXJz+tOYPkUnAH4FPt7hPPs7womk440hneP2JZrksl+WyXN2Y7Xbgv9zf5wMTQpGts5cuD6FsMXToFHWGV/V0XwRwhhQ9jzOFPdW9zx739qU4M/m6dRyr5bJclstyeZStedmSSUC6iDyGMzSysbuzdYsuftolt/i9+ROvub/qOpxp680HVIYBv8L9JMaZ1LET+JoHn8KWy3JZLsvlWTacLqS1OMX/C15k667LWbfkxTkZxS4R+W/3pjOf6y2cafTfAlDVrThDkI6520tx1la5/2wzWC7LZbkslw/ZjquzENp9wBRVfbC7s3WrLnwCDgeKcKbw57m39WixfRDOOg5bgUtxptq/DUz28lPLclkuy2W5PM52rtfZuvXf2YkXpOU/XnAmA9wI/AhY3OL2QcAzwP+5t90I/AQoBq734D/Kclkuy2W5Ijqbl5egXhicKboPABe1uH0e8Ij7+36ccaT5ODPQ/sfz4JbLclkuyxXh2ULy7+/gxRHgNzjrI98MLMFZ0S3BfYFud+/3F5xZZz864/HdPu3Zclkuy2W5oiFbqC4dnf4vDeckCpeoarWIVOF8yl2Bs6rgb0TkVvfF2YKznnnz2txN+vHqft3Nclkuy2W5Ij1bSLQ7ukadGWY7cBbmB+egwyqc2V+9cNaxeEJV5+KsGPdNEYlX50Qa6lVoy2W5LJflivRsoRLMibwXApeKSJ6q7hWRYmA0UKuqt8KpKcbvu7eHiuWyXJbLckV6Ns8FM07+LZwhRrcBqOoqnCnGPQBEpIdPn3iWy3JZLssV6dk812GRV+csLM8Bl4nIJ0WkAOd8hc2n2QrVabUsl+WyXJYrqrKFhAZ/lPoynMXyS4AvB/s4ry+Wy3JZLssV6dm8vHRqqWFxzoSuGmaffJarcyxX51iuzgnXXBDe2bzi2Xryxhhj/NflpYaNMcaELyvyxhgTxazIG2NMFLMib4wxUcyKvDHGRDEr8sYYE8WsyBtjTBSzIm+MMVHs/wOfhfaXxBh+SQAAAABJRU5ErkJggg==\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "resistance_shunt.plot()\n", - "plt.ylabel('Shunt resistance (ohms)')\n", - "plt.ylim(0, 5000);" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "nNsVth.plot()\n", - "plt.ylabel('nNsVth');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Single diode model" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [], - "source": [ - "single_diode_out = pvsystem.singlediode(photocurrent, saturation_current,\n", - " resistance_series, resistance_shunt, nNsVth)" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": "
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\n" 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\n" - }, - "metadata": { - "needs_background": "light" - } - } - ], - "source": [ - "single_diode_out['p_mp'].plot();" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.8.2 64-bit ('pvlib38': conda)", - "language": "python", - "name": "python_defaultSpec_1595300091462" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.2-final" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} \ No newline at end of file diff --git a/docs/tutorials/solarposition.ipynb b/docs/tutorials/solarposition.ipynb deleted file mode 100644 index bd3245445d..0000000000 --- a/docs/tutorials/solarposition.ipynb +++ /dev/null @@ -1,1065 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# ``solarposition.py`` tutorial\n", - "\n", - "This tutorial needs your help to make it better!\n", - "\n", - "Table of contents:\n", - "1. [Setup](#Setup)\n", - "2. [SPA output](#SPA-output)\n", - "2. [Speed tests](#Speed-tests)\n", - "\n", - "This tutorial has been tested against the following package versions:\n", - "* pvlib 0.8.0\n", - "* Python 3.8.5\n", - "* IPython 7.18\n", - "* Pandas 1.1.1\n", - "\n", - "It should work with other Python and Pandas versions. It requires pvlib > 0.3.0 and IPython > 3.0." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setup" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import datetime\n", - "\n", - "# scientific python add-ons\n", - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "# plotting stuff\n", - "# first line makes the plots appear in the notebook\n", - "%matplotlib inline \n", - "import matplotlib.pyplot as plt\n", - "\n", - "# finally, we import the pvlib library\n", - "import pvlib" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import pvlib\n", - "from pvlib.location import Location" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## SPA output" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location: \n", - " name: Tucson\n", - " latitude: 32.2\n", - " longitude: -111\n", - " altitude: 700\n", - " tz: US/Arizona\n", - "Location: \n", - " name: Golden\n", - " latitude: 39.742476\n", - " longitude: -105.1786\n", - " altitude: 1830\n", - " tz: America/Denver\n", - "Location: \n", - " name: Golden MST\n", - " latitude: 39.742476\n", - " longitude: -105.1786\n", - " altitude: 1830\n", - " tz: MST\n", - "Location: \n", - " name: Berlin\n", - " latitude: 52.5167\n", - " longitude: 13.3833\n", - " altitude: 34\n", - " tz: Europe/Berlin\n" - ] - } - ], - "source": [ - "tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')\n", - "print(tus)\n", - "golden = Location(39.742476, -105.1786, 'America/Denver', 1830, 'Golden')\n", - "print(golden)\n", - "golden_mst = Location(39.742476, -105.1786, 'MST', 1830, 'Golden MST')\n", - "print(golden_mst)\n", - "berlin = Location(52.5167, 13.3833, 'Europe/Berlin', 34, 'Berlin')\n", - "print(berlin)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "times = pd.date_range(start=datetime.datetime(2014,6,23), end=datetime.datetime(2014,6,24), freq='1Min')\n", - "times_loc = times.tz_localize(tus.pytz)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "DatetimeIndex(['2014-06-23 00:00:00', '2014-06-23 00:01:00',\n", - " '2014-06-23 00:02:00', '2014-06-23 00:03:00',\n", - " '2014-06-23 00:04:00', '2014-06-23 00:05:00',\n", - " '2014-06-23 00:06:00', '2014-06-23 00:07:00',\n", - " '2014-06-23 00:08:00', '2014-06-23 00:09:00',\n", - " ...\n", - " '2014-06-23 23:51:00', '2014-06-23 23:52:00',\n", - " '2014-06-23 23:53:00', '2014-06-23 23:54:00',\n", - " '2014-06-23 23:55:00', '2014-06-23 23:56:00',\n", - " '2014-06-23 23:57:00', '2014-06-23 23:58:00',\n", - " '2014-06-23 23:59:00', '2014-06-24 00:00:00'],\n", - " dtype='datetime64[ns]', length=1441, freq='T')" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "times" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "pyephem\n", - " apparent_elevation apparent_azimuth elevation \\\n", - "2014-06-23 00:00:00-07:00 -34.028887 352.757414 -34.028887 \n", - "2014-06-23 00:01:00-07:00 -34.055060 353.032425 -34.055060 \n", - "2014-06-23 00:02:00-07:00 -34.080223 353.307627 -34.080223 \n", - "2014-06-23 00:03:00-07:00 -34.104374 353.583047 -34.104374 \n", - "2014-06-23 00:04:00-07:00 -34.127518 353.858659 -34.127518 \n", - "\n", - " azimuth apparent_zenith zenith \n", - "2014-06-23 00:00:00-07:00 352.757414 124.028887 124.028887 \n", - "2014-06-23 00:01:00-07:00 353.032425 124.055060 124.055060 \n", - "2014-06-23 00:02:00-07:00 353.307627 124.080223 124.080223 \n", - "2014-06-23 00:03:00-07:00 353.583047 124.104374 124.104374 \n", - "2014-06-23 00:04:00-07:00 353.858659 124.127518 124.127518 \n", - "spa\n", - " apparent_zenith zenith apparent_elevation \\\n", - "2014-06-23 00:00:00-07:00 124.028842 124.028842 -34.028842 \n", - "2014-06-23 00:01:00-07:00 124.055012 124.055012 -34.055012 \n", - "2014-06-23 00:02:00-07:00 124.080175 124.080175 -34.080175 \n", - "2014-06-23 00:03:00-07:00 124.104329 124.104329 -34.104329 \n", - "2014-06-23 00:04:00-07:00 124.127471 124.127471 -34.127471 \n", - "\n", - " elevation azimuth equation_of_time \n", - "2014-06-23 00:00:00-07:00 -34.028842 352.757345 -2.150130 \n", - "2014-06-23 00:01:00-07:00 -34.055012 353.032330 -2.150281 \n", - "2014-06-23 00:02:00-07:00 -34.080175 353.307536 -2.150431 \n", - "2014-06-23 00:03:00-07:00 -34.104329 353.582953 -2.150582 \n", - "2014-06-23 00:04:00-07:00 -34.127471 353.858574 -2.150733 \n" - ] - }, - { - "data": { - "image/png": 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4UoSHh/NMzcGcdgmDFj4GmmLfmsZcEisSJmidOXWc9za8TXYP9G42zuk4IaV2hbrUl3L8FH2GcbNedjqOCWFWJEzQeju2I1ujhLYxbbn26qJOxwk5r7Qew7UJwvgjszlwyC5QZK6MFQkTlFas+pzP2UrF+Bw83sh+CV+JbFmy8ni5XvwVJgyY1cnpOCZEWZEwQScp4QzDVr5GuAovNxiVKS4kFCiNb27D7e5ifBt1nM/mD3Y6jglB9u0zQWd47EP8Hg335qxHmWvLOh0n5PVuPZ5rEmH0nnEcO3bQ6TgmxFiRMEFl/abFTEtaQ+n4aF5sMcTpOBlC3hx56VTscfZGuBg0/QGn45gQY0XCBA2PO4nB3z1LEkL3O963ZiY/6lD3CWomxDA34gDffG/9XplLZ99CEzRGzniKVdFuGkXVpFqpGk7HyXBebT6OnG54f+NQzpw67nQcEyKsSJigsHPnKiadXEqJhHB6tfrQ6TgZ0rUx19L66jZsixLeju148QmMwYqECQaqDFzwGP+4hP9Ve4vIiAinE2VYTzTqRYX4HHzOVn5Z9YXTcUwIsCJhHDdh1kssjz7D3VKWOpUaOB0nQ3O5XLxcfxThCO+sfBVPYrzTkUyQsyJhHHXo4FbGHfmSIglC79ZjnY6TKZQtWpYm2euxNhrei33Y6TgmyFmRMI56a3ZnjoQJj5d7mWxZsjodJ9Po0WIwpeKjmJqwmk2bvnM6jgliViSMY2bOH8Q3Uce53V2MJje3dTpOphIeFsbztw0nQYQh3z0DHo/TkUyQsiJhHHHs2EFG7vGeCdy7tV1IyAm3lL6FehHV+Tk6iTEznnY6jglSViSMIwZM78C+CBcPFX+SvDnyOh0n0+rd+kOKJoQx/sS37PljjdNxTBCyImHS3fzvRjIv4iC3JFxNu7seczpOphYdGcVTVfpxPMzFoHld7QJF5j/8ViREJExEfhWROb7HxUXkZxHZJiKxIhLpr2WZ0HXq1HFGbBlObje8eq81MwWD+pUbcSdlWBJ9mtjZrzodxwQZf25J/A/YmOzxQGCYql4PHAUe8uOyTIgaNPUBdkYK7fPfT+F8hZ2OY3z6tBlDgURhdNxM4v7c7nQcE0T8UiREpDDQCBjteyxAHWCGb5TxQHN/LMuErh9WfsZs1w6qxOeiq11IKKjkypKdR2/syaFwF4M+7+R0HBNE/LUl8Q7QHfj3OLq8wDFVTfI93gsUSmlCEekqIitFZGVcXJyf4phgk5RwhmGr+xDtgZcbjnY6jknBfbXu51Z3UeZHHWXOAuum3XiluUiISGPgT1VddSXTq+pIVa2qqlVjYmLSGscEqSFTO7MpClrmakipwqWdjmNS0bvlePK6hQ93j+H4sQNOxzFBwB9bErWApiKyC5iKt5npXSC3iIT7xikM7PPDskwI+vX3Rcx0r6VcfDTP3DvA6TjmAq7JlY8Hiz7GH5FhDLELFBn8UCRU9SVVLayqxYC2wLeq2h5YDLT0jdYRmJXWZZnQ43EnMWT5C4DQ864P7EJCIaBz3SeplhDDnIiDLP7+E6fjGIcF8hvbA3hORLbh3Udhn7ZMaPi0J1kb7aZZ9K1UvK6a03HMJXqt2Tiye+C9jUM5c+qY03GMg/xaJFR1iao29t3foarVVfV6VW2lqtYncSazefsKpp1exg3x4fRo9b7TccxlKHb1tbSOacvWKBdvT7ULFGVmtu1vAsLjdjNw0RMkiPD8LUMIDw+/+EQmqDzZ6GUqxOfkc9nGilUznY5jHGJFwgTE6Fkv8Ut0PA3DKnJzubucjmOugMvlotc9owhX4Z2VvUlKOO10JOMAKxLG73bv28TEY19RIsHFy23snIhQVqZIGZrnbMC6aBgea50mZEZWJIzf9f+qC3+7hG6VehMdlcXpOCaNurcYxA3x0UxL+o0NG791Oo5JZ1YkjF9N+KovP0SdoL5ez93VWjgdx/iBy+Wixx3vk4QwaOlzeJISnY5k0pEVCeM3Bw/vYfzBKRRJgFfaWA+vGUm1UjVoGHULq6LdjJrxlNNxTDqyImH8pv/nDxIXJjxW+llyZM3ldBzjZ6+0GkGJhHAmnvqenTt+cTqOSSdWJIxfzPhmBIsjD1MnqSBNa3dxOo4JgMiICP5XfRD/uIRBCx63CxRlElYkTJodO3GYUTs/JH+i8mrLCU7HMQFUp+Ld1HWVZ1mWeD79oqfTcUw6sCJh0qxfbAf2RwgPXfsQeXPndzqOCbA+rcdQJMHF2L++5NCBzU7HMQFmRcKkydfLxrEgfC+1E/LStt6zTscx6SBbdBYeL/8KR8JcDJjd2ek4JsCsSJgrdvLkcUZsHEIet/JyczuaKTNpUrMVt3lKsCj6BDPnveV0HBNAViTMFRsQ+yC7IoUO+e+ncExRp+OYdNan1TiuSYSR+yZy7Oh+p+OYALEiYa7I0l+mM8e1nWrxOXm4US+n4xgH5M1xFV2ue4p9ES4GzujgdBwTIFYkzGVLiD/F8F/fIKtHeaXRWKfjGAfdf2dXbknMz9yIP/l68YdOxzEBYEXCXLYhUzuyOQpa52lGiUKlnI5jHNa7xXjyuGHEtvc5ceKw03GMn1mRMJdl5Zo5fO7ZQIX4bDzVrK/TcUwQKHhVQToW6syuSBf9p9l1sTMaKxLmkiUlnGHIzy8TpkLPeh/Z9arNWZ0bPE/NhKuYF7aHBcvthMqMxL7l5pK9PbUL66OV+3LWp3yxSk7HMUHmtaYTyO1W3tswiJMn/3Y6jvETKxLmkqxeO58Z7t8oF5+F51sMdjqOCUJFrinKg9e0Y1ek0C+2vdNxjJ9YkTAXlZSYwOAfuxOG8FLdD62ZyaSqS+NXuDk+F/NcO1n4wySn4xg/sG+7uaihUx/m92gP92WrQ4USVZyOY4Lcq03Hk9OtvLd+ACdPHnc6jkkjKxLmglav/4YZSasoFx/F8/cNczqOCQFF8l/HA1e3YWckDIi1o51CnRUJk6qkpEQGLX8eAXre9QGusDCnI5kQ8XCT16gen4s5rh1886M1O4UyKxImVUNju7I+ys19WW6n4nXVnY5jQsyrTceT3QPvrXuLU6ftaKdQleYiISJFRGSxiGwQkfUi8j/f8KtEZKGIbPX9zZP2uCa9rN6whBkJKygbH8kLrd5zOo4JQcXyX0f7mFZsjxIGTrG+nUKVP7YkkoDnVbUMUBN4UkTKAD2Bb1S1JPCN77EJAR53EoO/f8bbzHTHcGtmMlfssSa9qRqfi9muHXz30xSn45grkOYioaoHVHW17/4JYCNQCGgG/HuRgfFA87Quy6QP79FMblpkuY1KpWo5HceEuFcbjyW7B95Z248z1uwUcvy6T0JEigE3AT8D16jqAd9TB4FrUpmmq4isFJGVcXFx/oxjrsBvG75hesIvlI2P5MVW7zsdx2QAJQqWpF1MK7ZFCQOn2NFOocZvRUJEsgOfAc+o6jk/F1RVAU1pOlUdqapVVbVqTEyMv+KYK+BJSmTw98+hCC/eMcKamYzfPNGkN5XjczHLtZ3vrdkppPilSIhIBN4CMUlVZ/oGHxKRAr7nCwB/+mNZJnDenfoQv0V7aJ7ldqqUqul0HJPBvNp4LFmt2Snk+OPoJgE+ATaq6tBkT80GOvrudwRmpXVZJnDWrl9IbOIqSsdH0b3lu07HMRnQ9QVL0jpfS7ZECYOt2Slk+GNLohbwAFBHRNb4bg2BAcDdIrIVqOt7bIKQJzGeIcuex43Q884PCA8PdzqSyaC6NX6NSvE5+dyanUKGP45uWqaqoqoVVLWS7zZXVY+o6l2qWlJV66rqX/4IbPzvnSmd+TVaaZa1DlVK2klzJnBcLhe9G48jqweGru3HqVPWt1OwszOuM7mVa75kqvs3bozPwsut3nE6jskEri9Ykg5Xt2FblNB/yv1OxzEXYUUiE0uIP8WgFS/jUuHV+qOsC3CTbh5r/Co14vMwJ2w385d+4nQccwG2VsjEBk3uwMYoaJ27MeWLVnQ6jslkejefSG43vLd5KMePH3I6jkmFFYlMaumKWGbKFirGZ+eZ5v2djmMyoSJXX0vnIl3ZHemi/7R2TscxqbAikQmdOv03Q397k6we6NN4vDUzGcd0rPc0tyYWYF7En8xaOMTpOCYFtnbIhPpPbsf2SKFDTGuuL1jK6Tgmk3uj9WSuThI+2D2GuLidTscx57Eikcks+G4Uc8J2Uz3hKh5r8prTcYwhJmc+Hi31PAfCXbw1sz1oij34GIdYkchEjh87yPAt75DbDX2aTXQ6jjFntbqtE3d4rmNh9Aliv3zV6TgmGSsSmchb09qyO9JF52sfo8jVRZyOY8w53mw7kUKJwsdxM9m393en4xgfKxKZxKx5/ZkbeZhbEgvR8e5uTscx5j9yZc3BUxXf4K8wFwPmdAKPx+lIBisSmcLhg5v5YN9Erk4S+ra2i9Kb4NWoWnPukgosyRLP+M/+53QcgxWJjE+VAV88wIFwF11Lv0RMzrxOJzLmgt5sN4aiCeF8cuIbdmxd7nScTM+KRAY3eeazzM9ymtqUpvWt1k+OCX5ZI6N5/uahnBQX/b95Ak9ivNORMjUrEhnYjq3L+fj4AgonhDGg7QSn4xhzye4sdycNo2/j5ywe3p/Syek4mZoViQzKkxhPv2+e4B9x8XyNIeSIzup0JGMuS+/W71E6Piufutfyy4qpTsfJtKxIZFDvTenIiiweGma5nboV6jodx5jLFh4WRp97xhGuwqA1b3LqRJzTkTIlKxIZ0MoVU5joXkfp+Kz0bjXc6TjGXLGyRW6kXf4H2RTlYsiUlnY2tgOsSGQwp/4+xMA1bxKuQp97xhMeFuZ0JGPS5OmG3amcWJDPIo/w9dw3nI6T6ViRyEhUeXtKSzZFhdE2fyfKFintdCJj/GJgq0lc5XbxzoFY/tzzm9NxMhUrEhnI13NeZUbUUSolFeZ/DV9wOo4xfpM/Vz4eL/saB8JdDJjTEdyJTkfKNKxIZBBxu37hnUOfcZU7jMGtrPM+k/G0rtmS2mFVWZjVzcSpXZyOk2lYkcgIEk8zcO5DHAgP49FyfchvZ1WbDGpQ248pnBDNR/Gr2LJ6htNxMgUrEhnAlMkdmJ9NuTm8Bm1r3Ot0HGMCJmtEFC/d8RGnxcXAFa+SdHSP05EyPCsSIW7L0vcZ4d5IgcSsvN3qA6fjGBNwt5WsQoOr2rAiSzijpra0/RMBZkUihCXsX0u/De9xRsJ4tc4oskVFOR3JmHTxZpNeFEsqxKgsJ/l5pnV9H0gBLxIi0kBENovINhHpGejlZRpnjvPBzPaszhJJk/yPULtEBacTGZNuXC4X7zQfR5Q7gr7HvuPYr7FOR8qwAlokRCQMGAHcA5QB2olImUAuM1PwuFk6qQ1jsyvXeW7k1fr2S8pkPtflzU/XCv3YHRHB4B9egUMbnI6UIQV6S6I6sE1Vd6hqAjAVaBbgZWZ4cbOfoy+7yebOykctP8blslZDkzl1rtaQKlkaMDt7NF9MvQ/+PuB0pAwn0GuXQkDyww/2+oaZK+RZPpy39s/hUFg4z9d8h/w58jgdyRhHfdiiH7mSCvJWThc7JraA+BNOR8pQHP8JKiJdRWSliKyMi7NeHi9o+bvM/GkAC7NlpWaeB7iv7C1OJzLGcdERkbxTfwTxGkWvsL+In9gCzvztdKwMI9BFYh9QJNnjwr5hZ6nqSFWtqqpVY2JiAhwnhH03iO1L3qD/VfnI4bmREY2fdzqRMUGjauHraXt9D36PjmTEya3waXM4fdTpWBlCoIvEL0BJESkuIpFAW2B2gJeZ8Xzbj/gl/Xj86mIkalbGNB5qvbsac56et7Xh2og6jM2Vg+VHN8GEZnDqL6djhbyAFglVTQK6AfOBjcA0VV0fyGVmOD+8D0sH0b3gTRyITOCxMr0oHVPY6VTGBKWJzfsRnlSAp/MV4vDhLTChKSScdDpWSAv4PglVnauqpVT1OlXtF+jlZSjH/oBFfZhauAbfRh7hhiyNebJmE6dTGRO08mTNzqDbBhEvSbTPfxOeg+tg2TtOxwppju+4Nhew8Ut2uZT+YUeIdpdgwr19nE5kTNC7u2QlGhR4lP3hexlcoDystRPt0sKKRBA7uXkeT19TANVwRt3zLlkjrNsNYy7FoHpducZ1MxOjjrPizEE4st3pSCHLikSwOrKdwSfWszNSeKzMK1QqUMzpRMaEDJfLxZR7hxDlzkf3mHz8sew9pyOFLCsSQWr8zMf4LGd2boqub/shjLkCMdlzMuiOd/nbFc4rB+dx5vBOpyOFJCsSQejHpR8zInw/1ybkYmSL/k7HMSZk1bmuAi0LdOHX6Eje+qwDqDodKeRYkQgyR/7cQf/N7xKpLgY1Gk90RKTTkYwJaS83eIbqSdcyM/pvPv3COqK+XFYkgojH7ea1z9uyO8LFoyWeoWzB65yOZEyGMLTdVIoluPjo6Bx+Xf+N03FCihWJIDJo6sMsjT5NAynLA3c85HQcYzKMXFlz8Grt9/EAby5/hpMnrW+nS2VFIkjMWvIxsYm/UPFMFP3bT3Q6jjEZTvXStemcryVbo6DnZLtiwaWyIhEENu9czdDtw4lJgreaTSc8PMLpSMZkSF2bvk79pMIsiTzM21MfdzpOSLAi4bCTp07Qa2FnTrmElyu9SZH8xZ2OZEyG1v+BLyh/JoJJZ77ny6VjnI4T9KxIOOylSc3YHOWhU66G3FH1XqfjGJPhRUZGMbBpLHmTYOjWt9mye43TkYKaFQkHvTPtKRZHxnF3YiGebDHI6TjGZBpFCpSkR/nenHAJveZ34uQpu5pdaqxIOOTrHybx6cnFlI0Pp/8DM52OY0ymU7dGKzrnuodNUW5emmQ7slNjRcIBW3avZdDG/uT2KP3vmUh0VFanIxmTKT3ZYjD1EguxODKOobFPOh0nKFmRSGfH//mLl+Y/wN8uoXuZXpQoUtbpSMZkav0emEm5+HAmnfrOdmSnwIpEOvK43bw4uQlbojw8kqcp9W++3+lIxmR60VFZGdA4lrxuGLz1bdZu+cHpSEHFikQ6en3i/fwY9TdNPSV5tLl13GdMsChasBSvVRlAokCv7x7l0JF9TkcKGlYk0smYL1/nc11PjfjsvPngdKfjGGPOc+tNjelWsCN7IpQXZjQjISHe6UhBwYpEOvh2xQw+OjyN6xJcDGn3Ja6wMKcjGWNS0L5Bd9pGVGdNdDwvTWjqdJygYEUiwDbv/JV+63qTzQP9644ld458TkcyxlxAz/ZjqJNwDQsi9jNk6mNOx3GcFYkAOnRkHy8uepATLuhZphc3lqjidCRjzCUY+OBsKpyJZNKZZUxdMMzpOI6yIhEgp86c5NnPmvBHhPLUNQ/YkUzGhJDoqKwMbjGTgonCO/tG8+2KGU5HcowViQDwuN08N6EB66ISeSC6Ng80tKthGRNqCsYU5a07RpHFA2+s651pD421IhEAvSbcx/KoYzT2lOD5th86HccYc4UqlKxJ74p9iRfo+V1X9hzY6nSkdBeelolFZDDQBEgAtgOdVfWY77mXgIcAN/C0qs5PW9TQMDT2Cea4tlMrPjf9Hkp7n0yJiYns3buXM2fO+CGdMaEtOjqawoULExGRftdcuaPqvTx3bB9v7f2IZ79syeh232SqA1BEVa98YpF6wLeqmiQiAwFUtYeIlAGmANWBgsAioJSqui80v6pVq+rKlSuvOI/TRs7qxYijsygbH8nojt+TNTpbmue5c+dOcuTIQd68eRERP6Q0JjSpKkeOHOHEiRMUL57+1135+POXGHH8S26Kz8LHnb4Lqj7XRGSVqlYNxLzT1NykqgtUNcn38CegsO9+M2Cqqsar6k5gG96CkWFN+noQHx6dxfUJYbzbeo5fCgTAmTNnrEAYA4gIefPmdWyr+tF736JNeFVWR5/h2fH1SUpKdCRHevPnPokuwDzf/ULAnmTP7fUNy5BmLRnJOwcmUDhReKfp58TkKejX+VuBMMbL6e9Crw7jaOwuzrKoYzw/9h487gs2jmQIFy0SIrJIRH5P4dYs2Ti9gCRg0uUGEJGuIrJSRFbGxcVd7uSOW/TzdAbseJer3PB2vUkUyV/C6UjGmADq1/Fz6iYW4NvIQ/QY1zTDF4qLFglVrauq5VK4zQIQkU5AY6C9/v8Ojn1AkWSzKewbltL8R6pqVVWtGhMTk6YXk96WrZnLG+v7kEVh8G0jKVW0gtORQlKnTp2YMSPzHoduQosrLIy3O8/j9oS8fB3+B69NaO10pIBKU3OTiDQAugNNVfVUsqdmA21FJEpEigMlgRVpWVaw+X71bF5e9SIo9K06hAqlbnE6kjEmnbjCwnin80Jujs/JLNcW3vi0vdORAiat+yTeB3IAC0VkjYh8BKCq64FpwAbga+DJix3ZFEq+WzWLXmteQoD+VQZzS8V7nI4UULt27aJ06dK0b9+eG2+8kZYtWzJ37lyaN29+dpyFCxdy7733ArBgwQJuvvlmKleuTKtWrfjnn38AKFasGN27d6d8+fJUr16dbdu2nZ1+6dKl3HLLLZQoUeKcrYrBgwdTrVo1KlSoQO/evc/J06lTJ0qVKkX79u1ZtGgRtWrVomTJkqxYkaF+j4S0kydP0qhRIypWrEi5cuWIjY1N9XPw5ZdfUqNGDW666Sbq1q3LoUOHHE5/YeHhEQzvuJBq8VmZ7lnL6xPaOh0pINJ0noSqXn+B5/oB/dIy/2C0ZOXnvLr2FcIU+lcdkq4F4vUv17Nh/99+nWeZgjnp3eTiV8fbvHkzn3zyCbVq1aJLly6sX7+eTZs2ERcXR0xMDGPHjqVLly4cPnyYvn37smjRIrJly8bAgQMZOnQor732GgC5cuVi3bp1TJgwgWeeeYY5c+YAcODAAZYtW8amTZto2rQpLVu2ZMGCBWzdupUVK1agqjRt2pSlS5dy7bXXsm3bNqZPn86YMWOoVq0akydPZtmyZcyePZv+/fvzxRdf+PV9CnUDVwxk01+b/DrP0leVpkf1Hhcc5+uvv6ZgwYJ89dVXABw/fpwePXqk+Dm49dZb+emnnxARRo8ezaBBg3j77bf9mtnfoqOy8v6D3/LUhLrMiFpPwtgW9Oucsa5Zb2dcX4ZFP0/nFV+BeKva2xl+CyK5IkWKUKtWLQA6dOjA8uXLeeCBB5g4cSLHjh3jxx9/5J577uGnn35iw4YN1KpVi0qVKjF+/Hh27959dj7t2rU7+/fHH388O7x58+a4XC7KlClz9hfkggULWLBgATfddBOVK1dm06ZNbN3qPeO1ePHilC9fHpfLRdmyZbnrrrsQEcqXL8+uXbvS6V0xF1O+fHkWLlxIjx49+P7778mVKxeQ8udg79691K9fn/LlyzN48GDWr1/vWO7LkTU6Gx92WsIt8bmY7dpKjzFNMtTO7DRtSWQmM74ZwZA/PiCrQv/qw6hZvl66Z7iUX/yBcv6hhyJC586dadKkCdHR0bRq1Yrw8HBUlbvvvpspU6ZcdD7J70dFRZ29/+/xD6rKSy+9xKOPPnrOPHbt2nXO+C6X6+xjl8tFUlIS5lwX+8UfKKVKlWL16tXMnTuXV155hbvuugtI+XPw1FNP8dxzz9G0aVOWLFlCnz59nIh8RSIjoxjRZTFPj6nL3KhdJI5tyJDOczPEtWNsS+ISjPnydQb88SF53MI7tUc5UiCc9scff5z9xTd58mRuvfVWChYsSMGCBenbty+dO3cGoGbNmixfvvxsO/PJkyfZsmXL2fnExsae/XvzzTdfcJn169dnzJgxZ/dp7Nu3jz///NPvr80Ezv79+8maNSsdOnTgxRdfZPXq1UDKn4Pjx49TqJD3dKrx48c7EzgNwsMjGN5lEXUSrmZhxH4e/+R2Tp056XSsNLMtiYsYGtuNCaeXUDzRxdBG0yheqLTTkRxxww03MGLECLp06UKZMmV4/PHHAWjfvj1xcXHceOONAMTExDBu3DjatWtHfLz38o99+/alVKlSABw9epQKFSoQFRWV6tbGv+rVq8fGjRvPrkSyZ8/OxIkTCcsAv84yi3Xr1vHiiy/icrmIiIjgww8/pGXLlil+Dvr06UOrVq3IkycPderUYefOnQ6nv3zh4REM67KAVye0YnbUVh6eUJth933JNXlD91ziNPXd5G/B1HeTx+2m14QWzHHtoFx8BO849I/euHHj2RWwU3bt2kXjxo35/fff//Nct27duOmmm3jooYcuOp9ixYqxcuVK8uXLPJ2jmf9K6+cgGL4Tl2Jo7BNMOL2UoonC4HqfUqpopYAtK2j7bsqojp04zCOf3Moc1w5qxedmZPtvQ/qXQKBUqVKFtWvX0qFDB6ejGBN0nmvzAc9dfT/7w5UnFrYP2QsX2ZbEebbsXkPP+Q+yLdJDCynHax0mObrzKVR+NRmTXkLtOzFv+acM3DSAky6hS+4mPH7vW35fhm1JpJPpi97nkUXt2RPh4emrWtCn49QMcXSCMcY599R6gJF1J1E0MYwP/p5D908akZAQ73SsS2ZFAkhKSqT3+Db03fsRWVQYVO51Hm76htOxjDEZRKmilRjfYRm3xedlXvgfdBp3M1t2r3E61iXJ9EVi2x+/0/mTm5nJBqrGZ2dc83ncWe0+p2MZYzKYbFlzMKLrEh6MvIUtEQk8/E17Jszt73Ssi8rURWLkrF50WtSG9VFnaBtWhVEPLyd/viIXn9AYY67Qi+0+ZljF/uR0uxgcN4VnRt/NsROHnY6VqkxZJHbv38IjI2/hvWOzyet2Max8P3p1GGf7HxxiXYV77dq1i8mTJzsdw6SD2pWbMqndd9RJuIZvIg7SOvYOpi4Y6nSsFGWqIpGQEM/AyQ9z/9f3sjLyb5p4rmfKAz9xe5VmF5/YmMtwJV2DWJHIXHJlv4p3H1lErwJdAOh3YCyPjazNzn3+7YgxrTJNkZi2cDitx1VjYuLPFEqKYFi5N+nf+XO/XYs6o0qpm/BTp07x7bffhlRX4bt27aJ27dpUrlyZypUr88MPPwCwZMkSbrvtNho1asQNN9zAY489hsfjAbxneD/77LNnOxD898qJo0aNolq1alSsWJH77ruPU6e8l1Lp1KkTjz32GDVq1KB79+5s376dBg0aUKVKFWrXrs2mTZvOjvf000//5/X27NmT77//nkqVKjFs2LC0//NMSGhb71mmtVnCPUnX8nPkUdotuI/e49sETxOUqgbNrUqVKupvXywZpW0/rqTlxpXT20eX0fdmPK/upCS/LydQNmzY8P8P5vZQHdPQv7e5PS64/J07dyqgy5YtU1XVzp076+DBg9Xj8egNN9ygf/75p6qqtmvXTmfPnq1xcXFau3Zt/eeff1RVdcCAAfr666+rqmrRokW1b9++qqo6fvx4bdSokaqqduzYUVu2bKlut1vXr1+v1113naqqzp8/Xx955BH1eDzqdru1UaNG+t133+nOnTs1LCxM165dq263WytXrqydO3dWj8ejX3zxhTZr1uw/r+PkyZN6+vRpVVXdsmWL/vtZW7x4sUZFRen27ds1KSlJ69atq9OnT1dVVUAnTpyoqqqvv/66Pvnkk6qqevjw4bPz7dWrlw4fPvzs62jUqJEm+T5fderU0S1btqiq6k8//aR33nnnBV/v4sWLz74nJnXnfCcymKWrZmmHj6pouXHl9M7RZXTg5Ef02IkjF50OWKkBWi9nyL6bzsSfYsLX/Vh06Cs2RrnJE+6hjasy3VoPI3cO6xLicp3fTfjw4cN54YUXznYV3rlzZ3788UcmTJjA119/fbarcICEhIRzOvJL3kX0s88+e3b4xboKB/jnn3/YunUr11577dmuwoFL6io8MTGRbt26sWbNGsLCws7pdLB69eqUKFHibK5ly5bRsmVLXC4Xbdq0Ofu6W7RoAcDvv//OK6+8wrFjx/jnn3+oX7/+2Xm1atWKsLAw/vnnH3744QdatWp19rl/+7JK7fUaU7tyU2pXbkrswneYunMMnyb8yJzY2twRXpZH6vWjSIGS6Z4pwxQJj9vNtytnMv/3caxiF3HhLq5xeWgpFXji3reJyVPQ6Yhpd88ARxabUjfhQEh1FT5s2DCuueYafvvtNzweD9HR0Rd9fall79SpE1988QUVK1Zk3LhxLFmy5Ow42bJ5my89Hg+5c+dmzZo1Kc4rpddrzL/a3P0MrdxPMe2b4cze9Smfh29kzvx7uSk+O3cUac59dZ5Kt6byoNon4VHPZY2/ZfdaRs7qxdOj6tBwbEWe3fQGC8N2UyApmv/luZe5D66m94NTMkaBcFBK3YQDIdVV+PHjxylQoAAul4tPP/0Ud7KLwqxYsYKdO3fi8XiIjY09+/o8Hs/Z/QXJX/eJEycoUKAAiYmJTJo0KcXl5cyZk+LFizN9+nTAWwh+++23C2bMkSMHJ06cuKLXZzIeV1gYbes9y+Suq3n3xt7clpifzREnGBQ3iTpTqtNlZA2Gxj7Bj2u/DmiOoNqS2PTXRu4ZXY4YdxZyurKTLSw7WcOzoQoe3JxK/Ie/PX9znFPsD0/gWJi3xmUJ91AqIZo7s95E69tfyLTdeQdKat2EQ+h0Ff7EE09w3333MWHCBBo0aHD2Fz9AtWrV6NatG9u2bePOO+88uwM+W7ZsrFixgr59+3L11VefLXBvvvkmNWrUICYmhho1aqS6Yp80aRKPP/44ffv2JTExkbZt21KxYsVUM1aoUIGwsDAqVqxIp06dzmmOM5lbneotqVO9JSdOHiP2m2GsPriEDWGH+eXM94z99fuALjuoOvjLXyyX3vNSaf50neJ4mIcTLsGTbNM/0qPkcSu5POFcTU4KZSlG2cK1qFejPdmy5nAweeA43ZnZhboJh9DvKnzJkiUMGTLk7LW2k8uePfvZrRgTPJz+TgQLj9vN92vm8MvWebzY7uOAdfAXVFsShfOVZOyjP599nJSUyNETcYS7IggPjyBbdA474S2IVKlShWzZsgX9xeqNyYhcYWHcXqUZt1dpxovtPg7YcoJqSyIYugoPNvaryZhz2Xfiv6yr8EwumAq5MU6y70L6syIR5KKjozly5Ih9OUymp6ocOXLknMOXTeAF1T4J81+FCxdm7969Z7uEMCYzi46OpnDhwk7HyFT8UiRE5HlgCBCjqofFe9bRu0BD4BTQSVVX+2NZmU1ERATFixd3OoYxJpNKc3OTiBQB6gF/JBt8D1DSd+sKfJjW5RhjjEl//tgnMQzoDiRvNG8GTPD1PfUTkFtECvhhWcYYY9JRmoqEiDQD9qnq+f0NFAL2JHu81zfMGGNMCLnoPgkRWQTkT+GpXsDLeJuarpiIdMXbJAUQLyIpn9obXHIBx50OcQksp3+FQs5QyAiW099uCNSML1okVLVuSsNFpDxQHPjN1ztmYWC1iFQH9gHJLxZd2DcspfmPBEb65rkyUCeE+JOIjFTVrhcf01mW079CIWcoZATL6W8iErCzkK+4uUlV16nq1apaTFWL4W1SqqyqB4HZwIPiVRM4rqoH/BM5KHzpdIBLZDn9KxRyhkJGsJwhw2/dcojILqBqskNg3wca4D0EtrOqXrTShcqWhDHGBJNArjv9djKdb2vi3/sKPHkFsxnprzzGGJOJBGzdGVQd/BljjAku1ncTICINRGSziGwTkZ6+YZ+IyG8islZEZohI9lSmfck33WYRqX+heQYgo4hIPxHZIiIbReTpVKbtKCJbfbeOyYZXEZF1vnkOl9Su25n2nHVEZLWI/C4i40UkxS3Y9MopImNE5M/kR9KJyGAR2eT7f38uIrkv9fX5hhcXkZ99w2NFJDItGS+Qs4+I7BORNb5bwyDNWUlEfvJlXOk7oCWladPzs1lERBaLyAYRWS8i//MNb+V77BGRVJts0vM9DSqqmqlvQBiwHSgBRAK/AWWAnMnGGQr0TGHaMr7xo/Ae6bXdN78U5xmAjJ2BCYDLN97VKUx7FbDD9zeP734e33MrgJqAAPOAewL0Xu4BSvnGeQN4yOGctwGVgd+TDasHhPvuDwQGXurr8z03DWjru/8R8LgfPpsp5ewDvHAl/4d0zrng3/8T3u55ljj5P/fNswDeg2sAcgBbfJ/PG/EeQroE735Vx9/TYLoFdEsilV+Vl1R1JZ1+oQPVgW2qukNVE4CpQDNV/du3PAGycO4Z5f9qBkxV1XhV3Qls880vxXn6OyPwOPCGqvfi4Kqa0gWg6wMLVfUvVT0KLAQaiPcM+Jyq+pN6P90TgOZpyJhazvuABFX990LXC33DHMupqkuBv84btkBVk3wPf8J72PalvL5mvs9IHWCGb7zxac2YWs5LFAw5Fcjpu58L2J/CpOn52URVD6ivDzlVPQFsBAqp6kZV3XyRydPtPQ229WbAioSIhAEj8PbjVAZoJyJl8P5KG6aq1wNHgf9c99I3XlugLN4jpD4QkbALzDMtUj07XETGAgeB0sB7vmFNReSNi0zr7zPOU5vfdUAb3+b8PBEp6ctYVURGX0LGvX7MmNqy8gPhyTbjW+I7h8bBnBfTBe+vV0SkoIjMvUjGvMCxZEUm0Bm7ibdZbIyI5AnSnM8Ag0VkD97OP1/y5QyK/7mIFANuAn6+wDjp/p4G43ozkFsSqf36vZSqm16/0C9IVTsDBfH+4mjjGzZbVV8L1DIvUxRwRr2Hvo0CxgCo6kpVfdjRZP9P8X5wh4nICuAE4IagywmAiPQCkoBJAKq6X1VTbPd3yId4fxxUAg4Ab0NQ5nwceFZViwDPAp9AcPzPxbt/8TPgmX9bDFLi0HsadOvNQBaJ1CpvilXXoV/ocJGzw1XVzf83m1zqtJd8xnkaM+4FZvqGfQ5UuMyMhVMYnhYpLktVf1TV2qpaHViKty3YyZwpEpFOQGOgva+Z41IzHsHbiWX4ecP9TlUPqarb18Q4Cu8KIOhyAh35/8/m9MvMGbD/uYhE4C0Qk1R15sXGTya93tOgW28GzdFNDv5C/wUo6Wvzi8T7q3e2iFwPZ/dJNAU2pTDtbKCtiESJSHG8XaOvSG2e/s4IfAHc6RvndlJe+c4H6olIHl/TRD1gvnrPgP9bRGr6XuODwKw0ZEw1p4hcDSAiUUAPvDv3nMz5HyLSAG9vxk1V9VQqo6X4+nwFZTHepjTwriD9ntGXM3lvyvcCKfV15nhOvPsgbvfdrwNsTWGcdP2f++b1CbBRVYde5uTB8J7+R7qsN/21B/z8G3Az3n/4v49f8t0O8/9HkZwzzvnjJns83zduivP0Q9aGeFew2/F2XOgClgPr8H4JJ+E72glvwXgj2bS9fNNtJtkRGOfP098ZfcNyA1/5cv4IVPQNrwqMTjZtF7ybntvwnv1OsvF+983zfXznzQQg52C8TXab8W7i42ROYArepppEvL+qHvItcw+wxnf7yDduQWDuxf6veI96WeGbz3Qgyg/vZUo5P/X9v9fi/aFQIEhz3gqswnsU0M9AlSD4bN6Kt/lzbbL/c0O8xXYvEA8cwreOceI9JQjXm2l60y/yYsPxHtJWnP8/ZKys701MfrjYEylMW5ZzDy3dgfcQtBTnGajXYDe72c1u6XkLxvVmwJqb1Nt+1g1vNdsITFPV9XibG54TkW14jwz4BM5tW/ONNw3YAHwNPKnedtjU5mmMMSEvGNeb1i2HMcaYVAXNjmtjjDHBx4qEMcaYVPm9SEjqnWi96TtLdI2ILBCRgqlMf4eIzPF3LmOMCWaprTuTPf+8iKiI5Etl+oCsOwOxJZEEPK+qZfB20PWk7xTwwapaQVUrAXOAYDlr2RhjgkFq605EpAje80j+SO9Qfi8SmnonWslPf89Gyh3mnUO83SK/kOzx7yJSzHfbKCKjfBV3gYhk8fdrMcaY9JLautP39DC8J3te0pFG/lx3BroX2GIk60RLvNc+2AO0J+1bEiWBEapaFjhGyt1mGGNMyEm+7hSRZni7t/nNT7O/rHVnIHuB/U8nWqraS70dfk3Ce9xuWuxU1TW++6uAYmmcnzHGOC75uhNvE9TL+Ld5/rLWnQEpEpfQidYkfNVLROb7dmaPTmG8pPMyRie7H5/svhs/Xq/bGGOckMK68zq8Z0r/JiK78HYguFpE8qfXutPvK9bUOtESkZKq+m8nX83wdZinqvX/O5ezduHtlRMRqYz3zTLGmAwnpXWnqq4Drk42zi68V887jPeiTanZhZ/WnYH49V0LeABYJyJrfMNeBh4SkRsAD7AbeOwCmf6tdJ8BD4rIerz7NVLq5dQYYzKCFNedqjo39UnOEZB1Z9B1y+E7NriQqnZ3OosxxoSKQK07g6odX0Q+AcoBrZ3OYowxoSKQ686g25IwxhgTPKzvJmOMMamyImGMMSZVViSMMcakyoqEMcaYVFmRMMYYkyorEsYYY1L1f/nprlGHKWC+AAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "pyephemout = pvlib.solarposition.pyephem(times_loc, tus.latitude, tus.longitude)\n", - "spaout = pvlib.solarposition.spa_python(times_loc, tus.latitude, tus.longitude)\n", - "\n", - "pyephemout['elevation'].plot(label='pyephem')\n", - "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n", - "spaout['elevation'].plot(label='spa')\n", - "plt.legend(ncol=2)\n", - "plt.title('elevation')\n", - "\n", - "print('pyephem')\n", - "print(pyephemout.head())\n", - "print('spa')\n", - "print(spaout.head())" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure()\n", - "pyephemout['elevation'].plot(label='pyephem')\n", - "spaout['elevation'].plot(label='spa')\n", - "(pyephemout['elevation'] - spaout['elevation']).plot(label='diff')\n", - "plt.legend(ncol=3)\n", - "plt.title('elevation')\n", - "\n", - "plt.figure()\n", - "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n", - "spaout['elevation'].plot(label='spa')\n", - "(pyephemout['apparent_elevation'] - spaout['elevation']).plot(label='diff')\n", - "plt.legend(ncol=3)\n", - "plt.title('elevation')\n", - "\n", - "plt.figure()\n", - "pyephemout['apparent_zenith'].plot(label='pyephem apparent')\n", - "spaout['zenith'].plot(label='spa')\n", - "(pyephemout['apparent_zenith'] - spaout['zenith']).plot(label='diff')\n", - "plt.legend(ncol=3)\n", - "plt.title('zenith')\n", - "\n", - "plt.figure()\n", - "pyephemout['apparent_azimuth'].plot(label='pyephem apparent')\n", - "spaout['azimuth'].plot(label='spa')\n", - "(pyephemout['apparent_azimuth'] - spaout['azimuth']).plot(label='diff')\n", - "plt.legend(ncol=3)\n", - "plt.title('azimuth');" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "pyephem\n", - " apparent_elevation apparent_azimuth elevation \\\n", - "2014-06-23 00:00:00-06:00 -25.154820 344.064195 -25.154820 \n", - "2014-06-23 00:01:00-06:00 -25.207201 344.310956 -25.207201 \n", - "2014-06-23 00:02:00-06:00 -25.258784 344.558018 -25.258784 \n", - "2014-06-23 00:03:00-06:00 -25.309568 344.805380 -25.309568 \n", - "2014-06-23 00:04:00-06:00 -25.359550 345.053043 -25.359550 \n", - "\n", - " azimuth apparent_zenith zenith \n", - "2014-06-23 00:00:00-06:00 344.064195 115.154820 115.154820 \n", - "2014-06-23 00:01:00-06:00 344.310956 115.207201 115.207201 \n", - "2014-06-23 00:02:00-06:00 344.558018 115.258784 115.258784 \n", - "2014-06-23 00:03:00-06:00 344.805380 115.309568 115.309568 \n", - "2014-06-23 00:04:00-06:00 345.053043 115.359550 115.359550 \n", - "spa\n", - " apparent_zenith zenith apparent_elevation \\\n", - "2014-06-23 00:00:00-06:00 115.154766 115.154766 -25.154766 \n", - "2014-06-23 00:01:00-06:00 115.207146 115.207146 -25.207146 \n", - "2014-06-23 00:02:00-06:00 115.258730 115.258730 -25.258730 \n", - "2014-06-23 00:03:00-06:00 115.309514 115.309514 -25.309514 \n", - "2014-06-23 00:04:00-06:00 115.359497 115.359497 -25.359497 \n", - "\n", - " elevation azimuth equation_of_time \n", - "2014-06-23 00:00:00-06:00 -25.154766 344.064134 -2.141078 \n", - "2014-06-23 00:01:00-06:00 -25.207146 344.310880 -2.141229 \n", - "2014-06-23 00:02:00-06:00 -25.258730 344.557936 -2.141380 \n", - "2014-06-23 00:03:00-06:00 -25.309514 344.805299 -2.141531 \n", - "2014-06-23 00:04:00-06:00 -25.359497 345.052965 -2.141682 \n" - ] - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "pyephemout = pvlib.solarposition.pyephem(times.tz_localize(golden.tz), golden.latitude, golden.longitude)\n", - "spaout = pvlib.solarposition.spa_python(times.tz_localize(golden.tz), golden.latitude, golden.longitude)\n", - "\n", - "pyephemout['elevation'].plot(label='pyephem')\n", - "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n", - "spaout['elevation'].plot(label='spa')\n", - "plt.legend(ncol=2)\n", - "plt.title('elevation')\n", - "\n", - "print('pyephem')\n", - "print(pyephemout.head())\n", - "print('spa')\n", - "print(spaout.head())" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "pyephem\n", - " apparent_elevation apparent_azimuth elevation \\\n", - "2014-06-23 00:00:00-06:00 -25.154820 344.064195 -25.154820 \n", - "2014-06-23 00:01:00-06:00 -25.207201 344.310956 -25.207201 \n", - "2014-06-23 00:02:00-06:00 -25.258784 344.558018 -25.258784 \n", - "2014-06-23 00:03:00-06:00 -25.309568 344.805380 -25.309568 \n", - "2014-06-23 00:04:00-06:00 -25.359550 345.053043 -25.359550 \n", - "\n", - " azimuth apparent_zenith zenith \n", - "2014-06-23 00:00:00-06:00 344.064195 115.154820 115.154820 \n", - "2014-06-23 00:01:00-06:00 344.310956 115.207201 115.207201 \n", - "2014-06-23 00:02:00-06:00 344.558018 115.258784 115.258784 \n", - "2014-06-23 00:03:00-06:00 344.805380 115.309568 115.309568 \n", - "2014-06-23 00:04:00-06:00 345.053043 115.359550 115.359550 \n", - "ephem\n", - " apparent_elevation elevation azimuth \\\n", - "2014-06-23 00:00:00-06:00 -25.149499 -25.149499 344.061394 \n", - "2014-06-23 00:01:00-06:00 -25.201890 -25.201890 344.308126 \n", - "2014-06-23 00:02:00-06:00 -25.253483 -25.253483 344.555170 \n", - "2014-06-23 00:03:00-06:00 -25.304277 -25.304277 344.802520 \n", - "2014-06-23 00:04:00-06:00 -25.354270 -25.354270 345.050172 \n", - "\n", - " apparent_zenith zenith solar_time \n", - "2014-06-23 00:00:00-06:00 115.149499 115.149499 22.952125 \n", - "2014-06-23 00:01:00-06:00 115.201890 115.201890 22.968789 \n", - "2014-06-23 00:02:00-06:00 115.253483 115.253483 22.985453 \n", - "2014-06-23 00:03:00-06:00 115.304277 115.304277 23.002118 \n", - "2014-06-23 00:04:00-06:00 115.354270 115.354270 23.018782 \n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "pyephemout = pvlib.solarposition.pyephem(times.tz_localize(golden.tz), golden.latitude, golden.longitude)\n", - "ephemout = pvlib.solarposition.ephemeris(times.tz_localize(golden.tz), golden.latitude, golden.longitude)\n", - "\n", - "pyephemout['elevation'].plot(label='pyephem')\n", - "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n", - "ephemout['elevation'].plot(label='ephem')\n", - "plt.legend(ncol=2)\n", - "plt.title('elevation')\n", - "\n", - "print('pyephem')\n", - "print(pyephemout.head())\n", - "print('ephem')\n", - "print(ephemout.head())" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "pyephem\n", - " apparent_elevation apparent_azimuth elevation \\\n", - "2014-06-23 00:00:00+02:00 -12.598822 343.918876 -12.598822 \n", - "2014-06-23 00:01:00+02:00 -12.640668 344.149982 -12.640668 \n", - "2014-06-23 00:02:00+02:00 -12.681923 344.381225 -12.681923 \n", - "2014-06-23 00:03:00+02:00 -12.722587 344.612605 -12.722587 \n", - "2014-06-23 00:04:00+02:00 -12.762658 344.844121 -12.762658 \n", - "\n", - " azimuth apparent_zenith zenith \n", - "2014-06-23 00:00:00+02:00 343.918876 102.598822 102.598822 \n", - "2014-06-23 00:01:00+02:00 344.149982 102.640668 102.640668 \n", - "2014-06-23 00:02:00+02:00 344.381225 102.681923 102.681923 \n", - "2014-06-23 00:03:00+02:00 344.612605 102.722587 102.722587 \n", - "2014-06-23 00:04:00+02:00 344.844121 102.762658 102.762658 \n", - "ephem\n", - " apparent_elevation elevation azimuth \\\n", - "2014-06-23 00:00:00+02:00 -12.593452 -12.593452 343.916041 \n", - "2014-06-23 00:01:00+02:00 -12.635306 -12.635306 344.147120 \n", - "2014-06-23 00:02:00+02:00 -12.676569 -12.676569 344.378348 \n", - "2014-06-23 00:03:00+02:00 -12.717240 -12.717240 344.609723 \n", - "2014-06-23 00:04:00+02:00 -12.757320 -12.757320 344.841244 \n", - "\n", - " apparent_zenith zenith solar_time \n", - "2014-06-23 00:00:00+02:00 102.593452 102.593452 22.857453 \n", - "2014-06-23 00:01:00+02:00 102.635306 102.635306 22.874117 \n", - "2014-06-23 00:02:00+02:00 102.676569 102.676569 22.890781 \n", - "2014-06-23 00:03:00+02:00 102.717240 102.717240 22.907446 \n", - "2014-06-23 00:04:00+02:00 102.757320 102.757320 22.924110 \n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "loc = berlin\n", - "\n", - "pyephemout = pvlib.solarposition.pyephem(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n", - "ephemout = pvlib.solarposition.ephemeris(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n", - "\n", - "pyephemout['elevation'].plot(label='pyephem')\n", - "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n", - "ephemout['elevation'].plot(label='ephem')\n", - "ephemout['apparent_elevation'].plot(label='ephem apparent')\n", - "plt.legend(ncol=2)\n", - "plt.title('elevation')\n", - "\n", - "print('pyephem')\n", - "print(pyephemout.head())\n", - "print('ephem')\n", - "print(ephemout.head())" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "pyephem\n", - " apparent_elevation apparent_azimuth elevation \\\n", - "2015-03-28 00:00:00+01:00 -34.669825 356.421155 -34.669825 \n", - "2015-03-28 00:05:00+01:00 -34.705895 357.939260 -34.705895 \n", - "2015-03-28 00:10:00+01:00 -34.721813 359.458321 -34.721813 \n", - "2015-03-28 00:15:00+01:00 -34.717561 0.977630 -34.717561 \n", - "2015-03-28 00:20:00+01:00 -34.693143 2.496380 -34.693143 \n", - "\n", - " azimuth apparent_zenith zenith \n", - "2015-03-28 00:00:00+01:00 356.421155 124.669825 124.669825 \n", - "2015-03-28 00:05:00+01:00 357.939260 124.705895 124.705895 \n", - "2015-03-28 00:10:00+01:00 359.458321 124.721813 124.721813 \n", - "2015-03-28 00:15:00+01:00 0.977630 124.717561 124.717561 \n", - "2015-03-28 00:20:00+01:00 2.496380 124.693143 124.693143 \n", - "ephem\n", - " apparent_elevation elevation azimuth \\\n", - "2015-03-28 00:00:00+01:00 -34.667077 -34.667077 356.419216 \n", - "2015-03-28 00:05:00+01:00 -34.703175 -34.703175 357.937292 \n", - "2015-03-28 00:10:00+01:00 -34.719120 -34.719120 359.456355 \n", - "2015-03-28 00:15:00+01:00 -34.714893 -34.714893 0.975640 \n", - "2015-03-28 00:20:00+01:00 -34.690500 -34.690500 2.494378 \n", - "\n", - " apparent_zenith zenith solar_time \n", - "2015-03-28 00:00:00+01:00 124.667077 124.667077 23.803474 \n", - "2015-03-28 00:05:00+01:00 124.703175 124.703175 23.886825 \n", - "2015-03-28 00:10:00+01:00 124.719120 124.719120 23.970175 \n", - "2015-03-28 00:15:00+01:00 124.714893 124.714893 0.053526 \n", - "2015-03-28 00:20:00+01:00 124.690500 124.690500 0.136877 \n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "loc = berlin\n", - "times = pd.date_range(start=datetime.date(2015,3,28), end=datetime.date(2015,3,29), freq='5min')\n", - "\n", - "pyephemout = pvlib.solarposition.pyephem(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n", - "ephemout = pvlib.solarposition.ephemeris(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n", - "\n", - "pyephemout['elevation'].plot(label='pyephem')\n", - "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n", - "ephemout['elevation'].plot(label='ephem')\n", - "plt.legend(ncol=2)\n", - "plt.title('elevation')\n", - "\n", - "plt.figure()\n", - "pyephemout['azimuth'].plot(label='pyephem')\n", - "ephemout['azimuth'].plot(label='ephem')\n", - "plt.legend(ncol=2)\n", - "plt.title('azimuth')\n", - "\n", - "print('pyephem')\n", - "print(pyephemout.head())\n", - "print('ephem')\n", - "print(ephemout.head())" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "pyephem\n", - " apparent_elevation apparent_azimuth elevation \\\n", - "2015-03-30 00:00:00+02:00 -31.976429 338.920871 -31.976429 \n", - "2015-03-30 00:05:00+02:00 -32.239797 340.360894 -32.239797 \n", - "2015-03-30 00:10:00+02:00 -32.485100 341.809413 -32.485100 \n", - "2015-03-30 00:15:00+02:00 -32.712074 343.265937 -32.712074 \n", - "2015-03-30 00:20:00+02:00 -32.920477 344.729920 -32.920477 \n", - "\n", - " azimuth apparent_zenith zenith \n", - "2015-03-30 00:00:00+02:00 338.920871 121.976429 121.976429 \n", - "2015-03-30 00:05:00+02:00 340.360894 122.239797 122.239797 \n", - "2015-03-30 00:10:00+02:00 341.809413 122.485100 122.485100 \n", - "2015-03-30 00:15:00+02:00 343.265937 122.712074 122.712074 \n", - "2015-03-30 00:20:00+02:00 344.729920 122.920477 122.920477 \n", - "ephem\n", - " apparent_elevation elevation azimuth \\\n", - "2015-03-30 00:00:00+02:00 -31.973191 -31.973191 338.919052 \n", - "2015-03-30 00:05:00+02:00 -32.236587 -32.236587 340.359056 \n", - "2015-03-30 00:10:00+02:00 -32.481918 -32.481918 341.807546 \n", - "2015-03-30 00:15:00+02:00 -32.708921 -32.708921 343.264033 \n", - "2015-03-30 00:20:00+02:00 -32.917353 -32.917353 344.727991 \n", - "\n", - " apparent_zenith zenith solar_time \n", - "2015-03-30 00:00:00+02:00 121.973191 121.973191 22.813319 \n", - "2015-03-30 00:05:00+02:00 122.236587 122.236587 22.896670 \n", - "2015-03-30 00:10:00+02:00 122.481918 122.481918 22.980021 \n", - "2015-03-30 00:15:00+02:00 122.708921 122.708921 23.063372 \n", - "2015-03-30 00:20:00+02:00 122.917353 122.917353 23.146722 \n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "loc = berlin\n", - "times = pd.date_range(start=datetime.date(2015,3,30), end=datetime.date(2015,3,31), freq='5min')\n", - "\n", - "pyephemout = pvlib.solarposition.pyephem(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n", - "ephemout = pvlib.solarposition.ephemeris(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n", - "\n", - "pyephemout['elevation'].plot(label='pyephem')\n", - "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n", - "ephemout['elevation'].plot(label='ephem')\n", - "plt.legend(ncol=2)\n", - "plt.title('elevation')\n", - "\n", - "plt.figure()\n", - "pyephemout['azimuth'].plot(label='pyephem')\n", - "ephemout['azimuth'].plot(label='ephem')\n", - "plt.legend(ncol=2)\n", - "plt.title('azimuth')\n", - "\n", - "print('pyephem')\n", - "print(pyephemout.head())\n", - "print('ephem')\n", - "print(ephemout.head())" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "pyephem\n", - " apparent_elevation apparent_azimuth elevation \\\n", - "2015-06-28 00:00:00+02:00 -12.679250 343.659411 -12.679250 \n", - "2015-06-28 00:05:00+02:00 -12.885989 344.817210 -12.885989 \n", - "2015-06-28 00:10:00+02:00 -13.077872 345.978615 -13.077872 \n", - "2015-06-28 00:15:00+02:00 -13.254779 347.143381 -13.254779 \n", - "2015-06-28 00:20:00+02:00 -13.416591 348.311289 -13.416591 \n", - "\n", - " azimuth apparent_zenith zenith \n", - "2015-06-28 00:00:00+02:00 343.659411 102.679250 102.679250 \n", - "2015-06-28 00:05:00+02:00 344.817210 102.885989 102.885989 \n", - "2015-06-28 00:10:00+02:00 345.978615 103.077872 103.077872 \n", - "2015-06-28 00:15:00+02:00 347.143381 103.254779 103.254779 \n", - "2015-06-28 00:20:00+02:00 348.311289 103.416591 103.416591 \n", - "ephem\n", - " apparent_elevation elevation azimuth \\\n", - "2015-06-28 00:00:00+02:00 -12.674183 -12.674183 343.658144 \n", - "2015-06-28 00:05:00+02:00 -12.880940 -12.880940 344.815897 \n", - "2015-06-28 00:10:00+02:00 -13.072843 -13.072843 345.977260 \n", - "2015-06-28 00:15:00+02:00 -13.249769 -13.249769 347.141996 \n", - "2015-06-28 00:20:00+02:00 -13.411601 -13.411601 348.309859 \n", - "\n", - " apparent_zenith zenith solar_time \n", - "2015-06-28 00:00:00+02:00 102.674183 102.674183 22.840578 \n", - "2015-06-28 00:05:00+02:00 102.880940 102.880940 22.923900 \n", - "2015-06-28 00:10:00+02:00 103.072843 103.072843 23.007221 \n", - "2015-06-28 00:15:00+02:00 103.249769 103.249769 23.090542 \n", - "2015-06-28 00:20:00+02:00 103.411601 103.411601 23.173864 \n" - ] - }, - { - "data": { - "image/png": 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\n", 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PzGx2A3r3ApJvfJoalhgqtOKUHLKAv6vqXBE5DZgjItOd14ar6st5NxaRzsC1QBegGTBDRNqrBn7o1JzhM6zkYExgHTt6hDmTXqHTshH00IPMaXAZkX94muTmbdwOzZSTIpODqm4GNjvL+0RkCXCq6Zf6AxNU9QiwWkRWAglASgDiPZHTIG0lB2MCZ+GPn3Laj4+R5FvPouqx1Or3IgldEt0Oy5SzErU5iEgk0A2YCfQEhojIjcBs/KWL3fgTR2qe3TZw6mRSaserlazkYExZrV+5kJ2T7iX2UCobpAnzzh5J7P/98fgwNaZSKfZfXURqA5OAe1R1L/AWcCYQi79k8UpJTiwig0VktojM3r59e0l2zXsMZ8lKDsaU1uFDB0gZfS+N/9OLsw4uILXt3TR6YB7dev/JEkMlVqySg4hUxZ8YxqvqpwCqujXP628DXzpPNwIt8+zewll3AlUdBYwCiI+PL9XVPSzMfxOc3SFtTOks+mUKdb57gGTdxOzTLyTy+tdIatLK7bBMCCgyOYj/5/loYImqvppnfVOnPQJgALDIWZ4CfCAir+JvkG4HpAU06uMxOEtWcjCmJHZt28iq8ffQI3MaG6QJC89/l/jf/d7tsEwIKU7JoSdwA7BQROY76/4BXCcisfivzGuA2wBUNUNEJgKL8fd0uisYPZUAcEoO1uZgTPHN/eY9IlMfJUYPkNJyEN3++DQtbAwkc5Li9Fb6BZACXpp6in2eAZ4pQ1zFkltysN5KxhRpz44trBp7B933/ZeV4WeS+YdPSe7cw+2wTIjy9B3SYWHWW8mY4pg37X1a/u9honQfKZG3E3/9U1StVt3tsEwI83RyOF5ysORgTEEOHdjHwtF3kLDrC1aFtyHzio9IjkpyOyzjAZ5ODmG5bQ5WrWTMyVZnzEQm3UKCbz0pTW+k+80vUa16hNthGY/wdHLIKTnY8BnGHKc+H2mfvExMxosckFosvOA9ks8b4HZYxmO8nRxyb9CxkoMxAPv37mb5qBtJ3P8T6TV60Hzge0Q1buF2WMaDvJ0cbPgMY3KtWz4fnfAnorM3ktruHhKue4yw8PCidzSmAJ5ODsd7K1nJwVRu82Z8yFk/DyVLqrKs9/sk9bzU7ZCMx3k6Odh8Dqay82VnM/O9B0he/zYrqpzFaTdNoEurdm6HZSoATyeHMGtzMJXYoQP7WPLmdSQf+JlZdS8havA7RNidziZAPJ0cxG6CM5XUzq0b2PH274k9tpzUDveSeO3DNoKqCShPJwcAnwpi1UqmElm7bD5VJ1xNK99uFvQcQVLvP7kdkqmAPJ8cFLvPwVQeGSlf0+LbW8iiCuv7f0y3uF5uh2QqKM8nBx9hWJuDqQzmfjOWril/Y3N4E6reMIn2bTq6HZKpwDyfHBSszcFUeLMmjyBu3iOsrNqBpnd8wekNznA7JFPBVYDkEGYFB1OhpX74HEnLnmdRRDfaDJlMrdPquh2SqQQqQHIACdJcQsa4SX0+Usf+g+S1bzGvZk86/eVjImrUcjssU0l4Pjn42xyMqVjU5yP17btJ3vwfZtXpTbch46lStZrbYZlKpGJcWa3NwVQg/sTwF5I3/4eZDa6g+90TLDGYcldBSg7W6GAqBvX5SH3nHpI3v8/MBleQcNe7dnObcUWR3zoRaSki34vIYhHJEJG/Ouvri8h0EVnh/FvPWS8i8oaIrBSRdBGJC+YbsN5KpqJQn4/U0X8jedNYZtbvR487x1hiMK4pzjcvC/i7qnYGkoC7RKQz8CDwnaq2A75zngNcArRzHoOBtwIedR4qYTbwnqkQUt+9j+SN75JW7zJ63PWeDbdtXFVkclDVzao611neBywBmgP9gbHOZmOBK5zl/sA49UsF6opI00AHnhsfIFZyMB6XMvZhkte/Q1rdvsQPGWeJwbiuRGVWEYkEugEzgcaqutl5aQvQ2FluDqzPs9sGZ93JxxosIrNFZPb27dtLGncua3MwXpc2aTjJq0cw+7QL6T7kP5YYTEgodnIQkdrAJOAeVd2b9zVVVUp4hVbVUaoar6rxjRo1KsmuJ0dmbQ7Gs+ZNe5/u6U+SHhFP9JAPCK/i+T4ipoIoVnIQkar4E8N4Vf3UWb01p7rI+Xebs34j0DLP7i2cdUHhQ4J1aGOCKiPlazr/eg+rqrbjzLsmUa16hNshGZOrOL2VBBgNLFHVV/O8NAW4yVm+Cfg8z/obnV5LSUBmnuqngFMrORgPWrUwlVbfDGRLeGMa3TbFhsQwIac4ZdiewA3AQhGZ76z7B/A8MFFEbgHWAlc7r00F+gIrgYPAwEAGfDJFEGtzMB6y8bcl1Jl0DQelJtVvnky9RkHrr2FMqRWZHFT1Fyi07ubCArZX4K4yxlVsVnIwXrJ9yzr0P1dQhSwOXPMprW2+ZxOiPH+HjT85WMnBhL69e3ay9+3+1PftZstl42jdqbvbIRlTqAqRHKxayYS6w4cOsP7NK2iVtZaVvUbSMT5foduYkFIhkoOVHEwoy87KYvGIa+hyNJ0F3Z8l+vyr3A7JmCJ5PzmIANbmYEKT+nzMfnMgcQd+JrX9fcT3u93tkIwpFu8nBwSxkoMJUamj/07irimkNr+JpD8+4nY4xhRbhUgONnyGCUWpHz5D8sYxzKp3KYm3vOZ2OMaUSAVIDjYqqwk9s78cRdKyF5lXqyfd7nzPht42nlMhvrFibQ4mhCz4YRIxsx4ko1oUnYZ8bLO4GU/yfHLw2XwOJoQsm/1fzvr+DtZVaUXLOz8nokYtt0MyplQ8nxxArORgQsLaZfM448sb2RNWlzp/nsLpdRu4HZIxpeb55OC/z8HtKExlt3ntMiI+/IN/fpEbPqNhk1Zuh2RMmVSI5GAlB+OmHVs3kPXeFdTgEJlXTqR52y5uh2RMmVWI5GBtDsYtmXt2kjnqchr6drCp71jadk1yOyRjAsL7yUHsPgfjjkMH9rFxZD9aZq1lxflv0TGht9shGRMw3k8OhNnAe6bcHT1ymOUjfk/HoxksSnyZ6F5Xuh2SMQHl+eQAIDafgylH2VlZLBxxHTGH0pgd9ShxfQe5HZIxAef55KAShlUrmfLiy85mzsgb6b7vv6S2vZuEK//udkjGBIX3k4MNvGfKiS87m1kjbyZh91ekthhE0o1Pux2SMUFTZHIQkTEisk1EFuVZ94SIbBSR+c6jb57XHhKRlSKyTET6BCvwHDbwnikP6vMx681BuSOsJg56xe2QjAmq4pQc3gMuLmD9cFWNdR5TAUSkM3At0MXZ500RCQ9UsAUTa3MwQaU+HzPfvIXEnZNJbXoDibe8ZgPpmQqvyG+4qv4E7Crm8foDE1T1iKquBlYCCWWIr0jW5mCCSX0+Zr41mKQdn5La5I8k/vkNSwymUijLt3yIiKQ71U71nHXNgfV5ttngrAsaBevKaoIiOyuLtH/eSNL2j0ltfC2Jg0daYjCVRmm/6W8BZwKxwGagxBWwIjJYRGaLyOzt27eXMgznPgdrkDYBduzoEea9fhWJu78gtcVAEm97yxKDqVRK9W1X1a2qmq2qPuBtjlcdbQRa5tm0hbOuoGOMUtV4VY1v1KhRacLwszmkTYAdPrifjOH9iHe6qybdam0MpvIp1TdeRJrmeToAyOnJNAW4VkSqi0gboB2QVrYQT80/8J4xgbF/725WvtaX6IMzmdn5YeuuaiqtKkVtICIfAr2AhiKyAXgc6CUisfir/NcAtwGoaoaITAQWA1nAXaqaHZTIj0eIBPsUplLYsXkdu98ZQMes35gX/zyJl9/udkjGuKbI5KCq1xWwevQptn8GeKYsQZWEio3KaspuzZLZVP/oWprrXjLOe4vuF17rdkjGuKrI5BDq7A5pU1aLfvmCVjMGc5RqbBwwiZjYc90OyRjXeb6VTcVGZTWllzZ5JO2n38SusAZkDZpOO0sMxgAVoORgc0ib0sjOyiJt9FCSN49jUUQsLW+fRJ16Dd0Oy5iQ4fnkoNZXyZRQ5s6trH37OpIPzyGtfj9ib3ubatUj3A7LmJDi+eSAhNnYSqbYVi2cSY1Pb6Cjbwezoh6zIbeNKYTnk4P/PgdrczBFm/3V23ROe5gDUpPVl0+kR/z/uR2SMSHL+8nBGqRNEQ4d2Ef66DtJ3DWFJdU602jQBDo0be12WMaENM8nBz9LDqZgqxfPgk8GkehbR2rTG+g+8BWqVqvudljGhDzvJwcJI8zuczAnUZ+PtEmvErPoeQ5ITRZe8C5J5/3e7bCM8QzPJwebCc6cbMeW9awfdxuJB39lYUQcTQeOJapJK7fDMsZTPJ8cELvPwRw3Z+po2qY9Tmc9TGq7oSRc9yhh4UGejNCYCsj7ycFGZTXA7u2bWT32Nrrv/5HlVdpT/cp/kdSxu9thGeNZnk8O/t5KVnKorNTnY87Ud2gzexhddT+pbe4i/vonqFK1mtuhGeNpnk8O2MB7ldbG3zLYOfEvxB+ew4oq7dg74GOSuiS6HZYxFYLnk4Pd51D5HD1ymLkfPkXs6lHUoQozOz1I/JX3EV7F819nY0JGBfnfZMmhskj/8VPq/PgYSb71zK19Hi3++AaJzdu4HZYxFY7nk4NKGGGWHCq89SsXsnPSfcQeSmGDNGH+uf8mzibkMSZoPJ8c/G0O1iBdUe3N3EXGh4/QffME6lOV1DPvptvVD9EioqbboRlToXk/OUiYdWWtgLKOHWXO5H9yVsbrJOpeZte7hLbXvkCS3cxmTLkoMjmIyBjgMmCbqnZ11tUHPgIigTXA1aq6W0QEeB3oCxwEblbVucEJ3U9tsp8KRX0+5k0bR6OZL5Com1hatTO7+75PQrfz3A7NmEqlONOEvgdcfNK6B4HvVLUd8J3zHOASoJ3zGAy8FZgwT0FsyO6KYtEvX7Di2UTiUv9KtoQzv+ebdHjoV86yxGBMuSuy5KCqP4lI5Emr+wO9nOWxwA/AA876caqqQKqI1BWRpqq6OWAR52PJwetWzP+ZQ988QfTh2WyhIbNinibu8juJtK6pxrimtP/7Gue54G8BGjvLzYH1ebbb4KzLlxxEZDD+0gWtWpW+Htnuc/CuFfN/5sC3zxB7KIU91GbmWUOJ+cN9NKlRy+3QjKn0yvzTTFVVREp8dVbVUcAogPj4+NJf3a1ayXPyJoVMapEaeSddBtxHYp36bodmjHGUNjlszakuEpGmwDZn/UagZZ7tWjjrgsiSg1cUlhSSLCkYE3JKmxymADcBzzv/fp5n/RARmQAkApnBbW/A6cpqySFUqc/HkpnfcuzHV4g5PItMapESeQddB9xvScGYEFacrqwf4m98bigiG4DH8SeFiSJyC7AWuNrZfCr+bqwr8XdlHRiEmE+O0JJDCPJlZ7Pg+4nUmPk6nY8tYRenkxp5F10G3EuyJQVjQl5xeitdV8hLFxawrQJ3lTWoEhGx4TNCyLGjR5g/dTQN09+im28dm2nEzE4PEXP5EJJq1nY7PGNMMXm+r6BKGDbwnvsOHdjHgikjaL1sND3Yzuqw1syOe4GYiwfStFp1t8MzxpSQ55MDCGE2n4Nrdm3bxLIvX6fDug9IYi9LqnZmW/IwontdTZuw4txjaYwJRd5PDtYg7Yo1S+eyddpwYnZ+TbIcY0GNBLb2updOiX3cDs0YEwDeTw5gyaGcqM/Hol++wJcygphDaTTRqixocAlNeg8lpmOc2+EZYwLI+8nBSg5Bd+TwQRZ8PZpGC98hyreGndQhpfXtdLj0bhLPaO52eMaYIPB8clDrrRQ0u7ZtZNlXb9Bu7QQS2MPqsEjSYp4m+uJbSLYhLoyp0DyfHKzkEHhrl85lS972hIgebD77L3Q953JrZDamkvB+crCb4ALi5PaExtaeYEyl5v3kYCWHMrH2BGNMQSpAcrA2h9Kw9gRjzKlUgOQQRljJRwyvtNYumcPW6cOJ3vmNtScYYwrl/eSAAP46c7GLW4HU52PRz5PRlJFEH55t7QnGmCJ5PzmIPyGoqpMmTI7Dhw6QPnUUZ2SMIcq3jh3UJSXyDjpe+lcSGzV1OzxjTAirAMnBnxJ8vmzCwsNdDiY07NiynhVfvUaH9RNJYC+rwtswK/ZZoi8eSHJETbfDM8Z4QIVJDmqD77E6Yybbp79G7O5pJEsW82sms6nnXXRJvpQzrcrNGFMCnk8Ogv+i5/NluxyJO3zZ2Sz8cRJhM98k6sg8Gmt15jXqR7M+9xDbLsbt8IwxHuX55KCVtORw+NAB0r/6N40XjybGt4Ft1CelzRA6X3Y3iQ0aux2eMcbjPJ8cchukfT6XAykfmbu2s/iL4bRbPZ4E9rAy/Exmx71AdJ+bSa4e4XZ4xpgKokzJQUTWAPuAbCBLVeNFpD7wERAJrAGuVtXdZQvzlDEAoFqxk8OW9StZ8+XLRG35jGQ5THpEPFvO+Stdzr7MuvAaYwIuECWH81V1R57nDwLfqerzIvKg8/yBAJynYLm9lSpmclidMZMd014hds8MGqLMr3MB9S66j+ioJLdDM8ZUYMGoVuoP9HKWxwI/ENTkcPw+h4pCfT4Wp3xN1s/DiTk8i8ZanTmN/0DrS+8lvnUHt8MzxlQCZU0OCkwTEQX+raqjgMaqutl5fQsQ5NbRilNyyM7KYsH0/1B7zpt0yVrOLk4ntfXtdOo3lKQGTdwOzxhTiZQ1OZyjqhtF5AxguogszfuiqqqTOPIRkcHAYIBWrVqVPgKn5ICHSw7Hjh5h/tR3aJw+kjjfRjZKE9K6PEL0pXeQVLO22+EZYyqhMiUHVd3o/LtNRD4DEoCtItJUVTeLSFNgWyH7jgJGAcTHx5f+yp7TIO3B+xyOHD7I/C/epOXiUfTQrawOi2ROwivE9r6Z5lW835HMGONdpb4CiUgtIExV9znLvYGngCnATcDzzr+fByLQwuPwXpvDoQP7WPD567RdPppEdrG8SnvmJz5BzIXX0CbMhgAxxrivLD9PGwOfOV1JqwAfqOo3IjILmCgitwBrgavLHuYp5BlbKdTty9zFosmv0GH1OJLYy+JqUWw7Zzhdzuln3VGNMSGl1MlBVX8D8o3PoKo7gQvLElSJeKDkkLlzK4snv0iX9R+SzAHSI+LZev59dE682O3QjDGmQBWgYtsZqDsEeytl7t7B4k+fI2rdeJLlEPNq9qT2RQ8Q3e13bodmjDGn5P3kkFNyCKGpQvdl7mLRpy/QZe04kjnIvNrnUrfvo3Trkuh2aMYYUyyeTw4SQm0O+/fuZuFnL9F59Xskc4D5Nc/mtIsfoVt0T7dDM8aYEvF8cgiFNoeD+zNJ/+wVOqx6l2T2sqBGIrV6P0Jst/Nci8kYY8rC88lBXLzP4dCBfSyY/CrtVowmiUzSI+LZftEjxHQ/v9xjMcaYQPJ8ctDckkP5nfPY0SPMnfwGbRePJIndLKreje0X/oPohN7lF4QxxgSR55PD8ZJD8Hsr+bKzmfvNGJrMfplE3cLSqp3Zfv6bdD27b9DPbYwx5cnzySF3bCWClxzU52PhT59R8+dniM9exeqwSNLPHUVUr6vs5jVjTIXk+eQgQZ7PYens78ie9gTRR9PZJGcwO+554vr+mTAb+8gYU4F5/wqXOyprYJPD2iVz2PXFo3Q7+Cs7qcPMjg/SbcBQmtlUnJXCsWPH2LBhA4cPH3Y7FGOIiIigRYsWVK1atdzOWQGSQ07JITAt0lvWrWD9p48St/sbGhBBSuTtRF/5EImn1Q3I8Y03bNiwgdNOO43IyMjc0qkxblBVdu7cyYYNG2jTpk25ndfzyUECVHLI3LmVJRMfJ27Lx9RDmNXkWjpc+TjJjZoGIErjNYcPH7bEYEKCiNCgQQO2b99eruf1fHLInc+hlMnhyOGDzJv0Mp1W/IsEPcicehfT6vdPk9SqXSCjNB5kicGECje+i55PDqWdz0F9PuZ9O5bGac+RpFtZGBFHrcuep0dXG//IGGO83w+zFPc5LJ01g2XPnk3czHs4KhGk9xpD1IPf09YSg6lEbr75Zj755BO3w/C8Xr16MXv2bLfDCDjPlxwQ/8xpxSk5bPwtg62fPkTc/h/ZQV1mRT1JXP8hhFu3VGOMOYHnSw7FGVspc+dWUt+6jUZjz6XjvlRSWg2mxt8X0OMP91hiMCFrzZo1dOzYkeuvv55OnTpx5ZVXMnXqVK644orcbaZPn86AAQMAmDZtGsnJycTFxXHVVVexf/9+ACIjI7n//vuJiooiISGBlStX5u7/008/cfbZZ9O2bdsTShEvvfQSPXr0IDo6mscff/yEeG6++Wbat2/P9ddfz4wZM+jZsyft2rUjLS2tHD6V8vH++++TkJBAbGwst912G9nZ2dSuXZuhQ4fSpUsXLrzwwhMaiD/++GMSEhJo3749P//8MwDZ2dncd999uZ/jv//9bwB++OEHfve739G/f3/atm3Lgw8+yPjx40lISCAqKopVq1a58p5P5vkrY25vpQLmc8jX2Fy/L22uepbkZpHlGqPxtie/yGDxpr0BPWbnZqfz+OVditxu2bJljB49mp49ezJo0CAyMjJYunQp27dvp1GjRrz77rsMGjSIHTt2MGzYMGbMmEGtWrV44YUXePXVV3nssccAqFOnDgsXLmTcuHHcc889fPnllwBs3ryZX375haVLl9KvXz+uvPJKpk2bxooVK0hLS0NV6devHz/99BOtWrVi5cqVfPzxx4wZM4YePXrwwQcf8MsvvzBlyhSeffZZJk+eHNDPia8fhC0LA3vMJlFwyfOFvrxkyRI++ugjfv31V6pWrcqdd97J+PHjOXDgAPHx8QwfPpynnnqKJ598khEjRgCQlZVFWloaU6dO5cknn2TGjBmMHj2aOnXqMGvWLI4cOULPnj3p3ds//tqCBQtYsmQJ9evXp23bttx6662kpaXx+uuv889//pPXXnstsO+5FDyfHApqc1Cfj7nfjKXJLH9jc3pEPKdd/iw9bLId4zEtW7akZ0//fCB/+tOfeOONN7jhhht4//33GThwICkpKYwbN45vvvmGxYsX52579OhRkpOTc49z3XXX5f47dOjQ3PVXXHEFYWFhdO7cma1btwL+Esi0adPo1q0bAPv372fFihW0atWKNm3aEBUVBZD7C1pEiIqKYs2aNUH/PMrDd999x5w5c+jRowcAhw4d4owzziAsLIxrrrkG8P8tfv/73+fuk7PcvXv33M9h2rRppKen55bIMjMzWbFiBdWqVaNHjx40bervJn/mmWfmJo2oqCi+//77cnmfRQlachCRi4HXgXDgHVUtPFWX5TxhOV1Z/SWHpWnTkWmP0D1rKavDIln4uzFE9/pDME5tKoni/MIPlpO7MIoIAwcO5PLLLyciIoKrrrqKKlWqoKpcdNFFfPjhh0UeJ+9y9erVc5dz/g+pKg899BC33XbbCcdYs2bNCduHhYXlPg8LCyMrK6uU7/IUTvELP1hUlZtuuonnnnvuhPVPP/30Cc8L+hzDw8NzPwdV5Z///Cd9+vQ5Yb8ffvih/D/HUghKm4OIhAMjgUuAzsB1ItI5GOfKaZDeu3Epc1++nI5Tr6R+1lZmRT9Fq3/MIcoSg/GwdevWkZKSAsAHH3zAOeecQ7NmzWjWrBnDhg1j4MCBACQlJfHrr7/mticcOHCA5cuX5x7no48+yv03b4miIH369GHMmDG5bRYbN25k27ZtAX9voerCCy/kk08+yX3Pu3btYu3atfh8vtxSQM7f4lT69OnDW2+9xbFjxwBYvnw5Bw4cCG7wARSskkMCsFJVfwMQkQlAf2BxoE8k+LN3/Jz7OajVSWl9GzFXP0yP2nUCfSpjyl2HDh0YOXIkgwYNonPnztxxxx0AXH/99Wzfvp1OnToB0KhRI9577z2uu+46jhw5AsCwYcNo3749ALt37yY6Oprq1asXWrrI0bt3b5YsWZKbRGrXrs37779PeHh4sN5mSOncuTPDhg2jd+/e+Hw+qlatysiRI6lVqxZpaWkMGzaMM844IzfhFubWW29lzZo1xMXFoao0atQo8G0yQSTBmF5TRK4ELlbVW53nNwCJqjokzzaDgcEArVq16r527dpSnWvd8vk0HN+bRfUvou1Vz9KwWeuyvwFT6S1ZsiT3wuuWNWvWcNlll7Fo0aJ8rw0ZMoRu3bpxyy23FHmcyMhIZs+eTcOGDYMRZqVRu3bt3NKUGwr6TorIHFWND8b5XGuQVtVRwCiA+Pj4UmeoVu1j4cltJAQqMGNCXPfu3alVqxavvPKK26GYCixYyWEj0DLP8xbOOmNMMUVGRhZYapgzZ06JjlNRehG5zc1SgxuCdRPcLKCdiLQRkWrAtcCUIJ3LmKAIRpWrMaXhxncxKMlBVbOAIcC3wBJgoqpmBONcxgRDREQEO3futARhXJczn0NERPlONBa0NgdVnQpMDdbxjQmmFi1asGHDhnIfQ9+YguTMBFeevH+HtDFBULVq1XKddcuYUOP5gfeMMcYEniUHY4wx+VhyMMYYk09Q7pAucRAi+4BlbsdRDHWATLeDKAaLM7C8EKcXYgSLM9A6qOppwThwqDRILwvWLeCBJCKjVHWw23EUxeIMLC/E6YUYweIMNBEJ2vykVq1UMl+4HUAxWZyB5YU4vRAjWJyeESrVSrO9UHIwxphQEsxrZ6iUHEa5HYAxxnhQ0K6dIVFyMMYYE1pCpeTgChG5WESWichKEXnQWTdaRBaISLqIfCIitQvZ9yFnv2Ui0udUxwxCjCIiz4jIchFZIiJ3F7LvTSKywnnclGd9dxFZ6BzzDTl5LsrAxXmBiMwVkUUiMlZECuwAUV5xisgYEdkmIovyrHtJRJY6f+/PRKRucd+fs76NiMx01n/kDDRZJoXE+YSIbBSR+c6jb4jGGSsiqU6Ms0WkwNH0y/m72VJEvheRxSKSISJ/ddZf5Tz3iUihVTPl+ZmGFFWtlA/8c1uvAtoC1YAF+Kc0PT3PNq8CDxawb2dn++pAG+c44YUdMwgxDgTGAWHOdmcUsG994Dfn33rOcj3ntTQgCRDga+CSIH2W64H2zjZPAbe4HOd5QBywKM+63kAVZ/kF4IXivj/ntYnAtc7yv4A7AvDdLCjOJ4B7S/N3KOc4p+X8nYC+wA9u/s2dYzYF4pzl04DlzvezE9AB+AGID4XPNJQewZpDuqBfkcXKslJOv8jJM5Wpqh4FJgD9VXWvcz4BagAF1bv1Byao6hFVXQ2sdI5X4DEDHSNwB/CUqvoAVLWgCX77ANNVdZeq7gamAxeLSFP8CTBV/d/qccAVZYixsDj/ABxV1ZyJjKc761yLU1V/AnadtG6a+kcRBkjFP/dIcd5ff+c7cgHwibPd2LLGWFicxRQKcSpwurNcB9hUwK7l+d1EVTer6lxneR/+kaKbq+oSVS3q/qpy+0xD7boZ8OQgIuHASOAS/Nn5OhHpjP9X2XBVPQvYDeSb39DZ7lqgC3Ax8KaIhJ/imGXRHP8v2xwbnHWIyLvAFqAj8E9nXT8ReaqIfQs9ZoBjPBO4xim2fy0i7ZwY40XknWLEuCGAMRZ2riZAlTzF9StxJoByMc6iDML/axURaSYiOaMKFxZjA2BPnuQS7BiHiL/6a4yI1AvROO8BXhKR9cDLwENOnCHxNxeRSKAbMPMU25T7ZxqK181glBwK+7VbnCxbXr/IT0lVBwLN8P/CuMZZN0VVHwvWOUuoOnBY/V3Y3gbGAKjqbHXm7Q4Biv8LO1xE0oB9QDaEXJwAiMjDQBYwHkBVN6lqgfX6LnkL/4+CWGAz8AqEZJx3AENVtSUwFBgNofE3F3/74STgnpwagoK49JmG3HUzGMmhsExbYJZ16Rc5FDGVqapmc7x6pLj7Bnp61MKOtwH41Fn3GRBdwhhbFLC+LAo8l6qmqOq5qpoA/IS/rtfNOAskIjcDlwHXO9UZxY1xJ1BXjje0By1GVd2qqtlOVeLbUOC06a7HCdzE8e/mxyWMM2h/cxGpij8xjFfVT4vaPo/y+kxD7rrpem8lF3+RFziVqYicBbltDv2ApQXsOwW4VkSqi0gboB3+hrRAT49a2PEmA+c72/yOgi+63wK9RaSeUwXRG/hWVTcDe0UkyXmPNwKflyHGQuMUkTMARKQ68AD+Rjs348xHRC4G7gf6qerBQjYr8P05ieR7/FVm4L8wBjxGJ86meZ4OAPJPLh0CceJvY/ids3wBsKKAbcr1b+4cazSwRFVfLeHuofCZ5lMu181AtWznPIBk/H/onOcPOY8dHO8VcsI2J2+b5/m3zrYFHjMAsfbFf2FdBTyMP1n+CizE/59vPE7vJfyJ4qk8+z7s7LeMPD0qTj5moGN01tUFvnLiTAFinPXxwDt59h2Ev4i5EhiYZ3288/5WASNw7ncJQpwv4a+aW4a/KI+bcQIf4q+SOYb/V9QtzjnXA/Odx7+cbZsBU4v6u+LvxZLmHOdjoHoAPsuC4vyP8/dOx/8DoWmIxnkOMAd/r56ZQPcQ+G6eg7+aMz3P37kv/iS7ATgCbMW5xrjxmRKC180yfeiFvMkq+LumteF4168uzoeXt9vXnQXs24UTu4j+hr8rWYHHDHTs9rCHPezhxiMUr5sBr1ZSf/3YEPzZawkwUVUz8Fcr/E1EVuJv6R8NJ9adOdtNBBYD3wB3qb+etbBjGmOM54XiddOGzzDGGJOP6w3SxhhjQo8lB2OMMfkELDlI4YNbFXcgrl4i8mWg4jHGmFB3iutmjIikiH8Qwi9E5PRC9o+UPAMfBlIgSw5ZwN9VtTP+gbPucm7VfhF4UlVjgcec58YYYwq/br6Df9DPKPw3ut5X3oEFLDloIYNbUbyBuE4g/uGJ783zfJGTISPFP0T1206WnSYiNQL1Howxpjyd4rrZHv+oAlD4oJUnEJGbRWREnudfikgvZ3m/+If5X+DU5DQu6njBGpU1kuODW91DAQNxlUE7YKSqdgH2UIwPzRhjQt1J180Mjo+DdBUnDuFRGrWAVFWNwZ90/lzUDsEYlfXkwa0KHIirDFar6nxneQ4QWcbjGWOMqwq4bg4C7hSROfjnoDhaxlMcBXLadIt13QxocihkcKsCB+ISkW+dRup38h+JrJNii8izfCTPcjb+uwCNMcaTCrpuqupSVe2tqt3xD1Oyytn2Xee6ObWAQ53qunlMj9/UVqzrZsAurKcY3CpnIK4fyDMQl6r2OfkYeazBP0omIhKH//ZvY4ypUAq7borIGaq6TUTCgEdwBq1U/3QChVmDv7QRhr/dosCeocUVyF/dPYEbgIUiMt9Z9w/8dVuvi39o28PA4FPEklMqmATcKCIZ+OvfChp11BhjvK6w62Y7EbnLef4p8G4h++e9bv4KrMY/jMYSYG5ZAguZ4TOc/r3NVfV+t2MxxhgvEJH++OchuTrQxw6J+noRGQ10BQL+Bo0xpiJyBt7rD9wclOOHSsnBGGNM6LCxlYwxxuRjycEYY0w+lhyMMcbkY8nBGGNMPpYcjDHG5GPJwRhjTD7/DyTFGzcCu33dAAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "loc = berlin\n", - "times = pd.date_range(start=datetime.date(2015,6,28), end=datetime.date(2015,6,29), freq='5min')\n", - "\n", - "pyephemout = pvlib.solarposition.pyephem(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n", - "ephemout = pvlib.solarposition.ephemeris(times.tz_localize(loc.tz), loc.latitude, loc.longitude)\n", - "\n", - "pyephemout['elevation'].plot(label='pyephem')\n", - "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n", - "ephemout['elevation'].plot(label='ephem')\n", - "plt.legend(ncol=2)\n", - "plt.title('elevation')\n", - "\n", - "plt.figure()\n", - "pyephemout['azimuth'].plot(label='pyephem')\n", - "ephemout['azimuth'].plot(label='ephem')\n", - "plt.legend(ncol=2)\n", - "plt.title('azimuth')\n", - "\n", - "print('pyephem')\n", - "print(pyephemout.head())\n", - "print('ephem')\n", - "print(ephemout.head())" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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VNWvWaObMmfXQoUMaFRWlDz/8sC5evFjV+Y+jc+fOVVXVUaNG6VNPPaWqqufOnYuZ72uvvaYffPBBzHK0atVKo6KiVFW1SZMmun//flVV/eOPP/Shhx666fKuWbMmZp0kpVPjxmlg70eT9HFq3Libvufu3bu1devWGhERoaqqQ4YM0Tlz5qhqwuu1UaNG+vzzz6uq6g8//KBNmzZVVdXPPvtMx4wZo6qq165d01q1aunhw4d1zZo1mjNnTj158qReu3ZNCxcurCNGjFBV1ffff1+feeaZ/9QVHByskZGRqqq6evVq7dixo6qqzpo1S++99149d+6choaGqq+vr27ZsiXBz7+q6vnz52Pm27t3b12+fHnMcgwZMkRVVSMiIrR+/fox/08WLlyoffv2venyzpo1K2adJLRu06rzY57U3eUr6Mx2FbXmtKZ6IOj0bU0HBGgSfrcn11lYjwB/qep/+hNW1cuxnq8QkY9FJJ+qnovTbhowDZxdmbi74MSIryv3F198MVV15x4ZGcnQoUPZtm0b3t7eN3TwWKdOHUqXLh1T14YNG+jcuXOC3Y7v3LmT119/nUuXLhESEnJDL7FdunTB29ubkJAQfv/9d7p06RIz7nrfYAktb1qSUFfugEe7cw8ODqZPnz4cOHAAEYnpoBGgWbNm5M2bN6aODRs20L59+wQ//2vWrGHChAmEhoZy4cIFfH19adOmDUDM8u3bt4+dO3fSrFkzwLk1db3ehJY3vbrw9jOcmfsrm8sJH7YswBdtZ3FfvoIeqSW5AqQHCey+EpF7gTOqqiJSB+dutfN39W6PvHNXkydWfF25A6mqO/fJkydTsGBBtm/fjsPhIEuW/z+TI6HlS6j2xx9/nGXLllGtWjVmz57N2rVrY9r4+PgA4HA4yJUrF9u2bYt3XvEtr7vc++qrbp1/fDSBrtzjk5zdub/xxhs89NBDLF26lMDAQBo3bhxvHbFfxzf82rVrPPnkkwQEBFCsWDHefPNNrl27FtPm+udAVfH19Y3pyTqu+JY3Pbo44QXOzFnF1rLClNZ5md5qFr4Fi3msHrcfAxERH6AZ8E2sYYNFZLDrZWdgp4hsBz4Auqu7vyncJL6u3IFU1Z17cHAwhQoVwsvLiy+//DJmfzw494sfOXIEh8PBokWLYpYvoW7Hr1y5QqFChYiMjGTevHnxvt8999xDqVKlWLx4MeD8Itm+fftNa8yRIwdXrlxJ1PKlNAl15Q4Jr9eEJGV37sHBwRQpUgRwHveIbfXq1Vy4cIGwsDCWLVsWs9UR3+f/eljky5ePkJCQBM8iLF++PEFBQTHTR0ZGsmvXrpvWmJY+B7fj4nvDOD1zBdvKCO+2ycWH/tOpWaSUR2tye4Co6lVVzauqwbGGfaqqn7qef6iqvqpaTVXrqerv7q7JXa535V6xYkUuXrwY05U7OLtzL1asWLzduVetWpX69evHHDyG/+/OfcqUKbc8UNy8eXN69uxJ/fr1qVKlCp07d070f6wnn3ySOXPmUK1aNfbu3RvzCxGgdu3aDB06lIoVK1KqVKmYkwGudzteuXJlfv3115jb8o4ZM4a6devSsGFDKlSokOB7zps3jxkzZlCtWjV8fX359ttvb1pj1apV8fb2plq1aqn+IHrsrtyrVq1Ks2bNYg4eJ7ReEzJgwAAqVapEzZo1qVy5MoMGDUr0r/Vhw4YxfPhwatSo8Z951KlTh06dOlG1alU6deqEn5+zc9f4Pv+5cuXiiSeeoHLlyvj7+8fsqosrU6ZMLFmyhJdffplq1apRvXr1mBM4EvLQQw+xe/fudHEQ/dKUVzk97Tt2lBYmtruHd5tOo0GJ8p4uK3kOoif14/qB3dg8fcDsyJEj6uvrm+D4p556SqdPn35b8ypRooQGBQUlVWlJ4mYHrn18fJK5mvQhJa7XhA5c3+rz7wme/k5IKhc/fEN3ly+vi/0rao3P6uhP+/5O9LxIpQfR07VatWrh4+PDu+++6+lSjDGpSPBnozn14VfsLe7FWx18GPPAx/iXq+7psmLYDaWMMWlSav9OuDz9LU68+wX7i3oxunM2Xr//Izr41r2reYqI3VAqIakxDI0xSS+1fxdcnj2BE+9+wcEiwphOWXmlwZS7Dg93SDMBkiVLFs6fP5/qPzjGmLujqpw/f/6GU9BTk8tzJnFi/EwOFxJGd87K8/Um06VKQ0+XFa80cwykaNGiHD9+/IbuHowx6VOWLFkoWrSop8u4Y5dnjefEhFkcKSSM6pqFp+u8S8/qD3q6rASlmQDJmDEjpUp59pxoY4xJrMsz3ubEpDkcKeTFyK6ZGFxrIo/VfMjTZd1UmgkQY4xJrYI/H8fJ977kSGEvRnbJRP8a79C/9sOeLuuWLECMMcaDgj8bw8n353G4iBcju2SkT9WxDK7bwtNl3RYLEGOM8ZDgT0dxcsoCZ3h0zUDPSqN4un5rT5d12yxAjDHGA4I/HsnJqYs4XNSLkV0y0KXCCJ6/v72ny7ojFiDGGJPMLn34Bqc+XMzhYl680dWbjvcN5+UHO3u6rDtmAWKMMcno0gevcurjbzhc3Is3unjTpvQwXn+oh6fLShQLEGOMSSaX3h/OqU+XcqiENyM6Cy1KPM+opo96uqxEswAxxphkcPG9YZye9h0HSzrDw7/487zVvK+ny7orFiDGGONmF999idOff8+Bkl6MdIXHO837ebqsu2YBYowxbnRx4gucnrGC/aW8GNnJixbFn0sT4QEWIMYY4zYXxj/HmVk/sb+0FyM7pq3wAAsQY4xxiwtjn+LM3F/ZV8aLNzt44V8sbYUHJEOAiEggcAWIBqLi3sxERASYArQEQoHHVfUvd9dljDHucu61fgR9vYndZb0Z017wL/os4/3TVnhA8m2BPKSq5xIY9whQ1vWoC3zi+muMMamKqhL0Qk/Or9jGjgoZGNcWHinyLOP9+3u6NLdICTeUagd84brn+x9ALhEp5OmijDHmTqjDwdmhHTm/YhtbK2dkXFtokYbDA5InQBRYJSJbRWRgPOOLAMdivT7uGnYDERkoIgEiEmA3jTLGpCQaHc3pJ1pz4Ze9/FEjE+NbKS2KPMuENBwekDwBcr+q1sS5q+opEUnU7bVUdZqq+qmqX/78+ZO2QmOMSSSNjOTU4/5c2niEdbUz825zB48UTvvhAckQIKp6wvX3LLAUqBOnyQmgWKzXRV3DjDEmRdPwa5zs9TDBW07wS4OsTG0STcvCz6SL8AA3B4iI+IhIjuvPgebAzjjNlgOPiVM9IFhVT7mzLmOMuVuOsKsc796EyzvO8uODPnz6YBQtCz3DBP8Bni4t2bj7LKyCwFLnmbpkAOar6k8iMhhAVT8FVuA8hfcgztN4U3fnMMaYNM9x5RLHu/tz9dBlljfJwZd1rtHy3v8xoUX6CQ9wc4Co6mGgWjzDP431XIGn3FmHMcYkFUfweY51bU7ov1dZ7J+Tr2qEpcvwALsS3Rhjblv0udMc69aCsJPXmNsqF99WCaVN4ed4O5X3qptYFiDGGHMbok4f5Vi31lwLimBGm9z8VCmUDkVfZMzDj3m6NI+xADHGmFuIOnaQoz3aE34hio/b52ZNuVC6lXiFN1LpnQSTigWIMcbcROSBfzj6WHciL0czuXMefi8dSq9SrzG8UVdPl+ZxFiDGGJOA8G0bODrgCaLDlfFd87CleCh9yozgpQc6erq0FMECxBhj4hG2/nuOPf0iDuDNHvnYWegqT5QfwzMN2ni6tBTDAsQYY+K4+v0XHB/+FmSGYd3zczjvVZ6sOI4n67X0dGkpigWIMcbEcmXe+5wY9ymSU3i6Wz5O5rzKM77v8ESd5p4uLcWxADHGGJdLH43g1Idf4VXAm4Fd8nLe5yovVJ1E31pNPF1aimQBYowxwIVxQznz5S94Fc/M4x3u4UrmMF6p/h69azTydGkplgWIMSZdU1XOvdSbc9//hZTLRq/W2biWIZzXa71P92oNPV1eimYBYoxJtzQ6mjOD23Fx/SGonpseDwtRXuGMqvMBnSrX83R5KZ4FiDEmXdLwa5zs04LL287gaFiYHg3CUIlmbL2PaVfJz9PlpQoWIMaYdMdx5RLHe7bg6oFgwlvcx6NVzwHC+Aaf0LJCDU+Xl2pYgBhj0pXooFMc69GKsOOhXO5UjQH3HQFHZj5o/CkPlfH1dHmpSnLcE90YY1KEqKMH+Ldjc8JOhnLmsQYMuO8Q4sjG581mWngkggWIMSZdiNi1hcAu7Ym4EMmRJ5oytNA2vBy5+OKR2dQrXtbT5aVKFiDGmDQvbP33BPZ+DEdYNDuGtmRY7o1kdBRgUdsvqF64pKfLS7XcFiAiUkxE1ojIbhHZJSLPxNOmsYgEi8g212OEu+oxxqRPIV9/zr9DXsTLW/nthc6MzvoLmaOLsbTDl1TIX9jT5aVq7jyIHgW8oKp/iUgOYKuIrFbV3XHarVfV1m6swxiTTgV//CYnpy4kcx5vvn66G3OuLSGr4z6+7TyDwjlze7q8VM9tAaKqp4BTrudXRGQPUASIGyDGGJOkVJXzIwcS9NUGshXPwvSBXVl2dQHZHZX4vtt08vnk8HSJaUKyHAMRkZJADeDPeEbXF5HtIvKjiCR4GoSIDBSRABEJCAoKclepxphUTqOiODO4PUFfbeAe31y8O7gzy64uIKdWZ2WP2RYeScjt14GISHbga+BZVb0cZ/RfQAlVDRGRlsAyIN7TIVR1GjANwM/PT91XsTEmtXKEhnCyTyuu/HOW3A8UZ3iLegRcWURe6vJDzw/xyZTF0yWmKW7dAhGRjDjDY56qfhN3vKpeVtUQ1/MVQEYRyefOmowxaVPUqaMcbfsAV/45S/6ONXm2eU0CQr6hkNeD/NTzEwsPN3DbFoiICDAD2KOq7yXQ5l7gjKqqiNTBGWjn3VWTMSZtiti5mWMD+hJ5OZpC/+vA43nCORT6PSUyNGdp9wlk9Pb2dIlpkjt3YTUEHgX+EZFtrmGvAsUBVPVToDMwRESigDCgu6ra7iljzG0L/XkJx198HRQKvf083a9u43j4espnaceizqPx9rbL3dzFnWdhbQDkFm0+BD50Vw3GmLTt8pxJnJwwnQw+Qt4pk2h/YDHndCvVfLrzRcfheHlZeLiTdaZojEl1VJULY4dydt4vZC2UkWyfzqTVpglckb3cn3sAn7T9z3XLxg0sQIwxqYpGRHDm6c5c/O0AOSrmxDF1Dq1Wv0SYHKVt4Rd4q9njni4x3bAAMcakGtHnz3CiTzuuHgwmz4MluDDqI3r+OIRICeKxMiMY9kAnT5eYrliAGGNShYg9f3FswGNEXIji3sebcLD3swz4sR/REsL/fN9hYB1/T5eY7liAGGNSvNCVCzn+8ijUoRQf/SR/1HyQ51b1RYlipN9UulRp4OkS0yULEGNMinbpo5Gc/mgRGXMIxT6ayvdZszFy3UDQTEx64DP8y1X3dInplgWIMSZF0uhogl7szfkft5GteGaKzvqaOacPMXnz03g5cvLpw9OoX8JuBOVJFiDGmBTHEXyBk/3acWXXOXL5FeTeacuZvG0lM/ePI6OjIHNbT8e3YDFPl5nu2VU2xpgUJWJ3AIGtGnFldxAFu9Tm3i9+ZeSmJczcP4Ys0SVY2mGuhUcKYVsgxpgUI2TpDE6MnIigFB85CJ/uz/P0ismsDZpJdocvy7tNo0D2ezxdpnGxADHGeJyqcmHMk5xdsIbMub0o+vFHZKjaiD5LR/HX5SXkwY/ve35CjizWo25KYgFijPEox5VgTg3swOW/T5Gjwj0UnrGU6JwF6bz4JQ5cW0Vhr0Z8230yWTJm9HSpJg47BmKM8ZjIg/8Q2OpBLv99kvytK1Pk698Jy5GXRxYO4sC1VZTN3JoVPT+w8EihLECMMR4RsmwmRzp3JfJiOEVfeZR8kxYTdC2EZvMf5Uz0Zurm7MPX3d6y7thTMNuFZYxJVhodzbnXB3Bu6SYy5xaKvD+ZzHUf4eD5k3T7dgDhXidoW+gF3mr+uKdLNbdgAWKMSTZRZ45xckAXrh4I5p4qeSj02RK88hRmy/H9DFg1iGgJ5olyY3mmQRtPl2pug20bGmOSRdja5Rxp5U/ooUvc2/t+Ci9cj1eewvy4P4B+q/rgIJTXakyx8EhFbAvEGONWqsrFiS9yZvYPZMwGJSa/Rlb/RwGY8/dqJm0bjmg2Jjf+iKZlqni4WnMn3B4gItICmAJ4A9NV9Z044zMDXwC1gPNAN1UNdHddxhj302shnBrQjuCAk2Qvk43Cny3Eu2g5ACZuWMScg2+TwVGAWS2mUaNISc8Wa+6YW3dhiYg38BHwCFAJ6CEileI06w9cVNX7gMnAeHfWZIxJJmd2c7bv/QQHnCRfi4oUXfZHTHi8uPJD5hwcR1ZHKZZ1mG/hkUq5+xhIHeCgqh5W1QhgIdAuTpt2wBzX8yVAUxERN9dljHEXVdgynQsvtuDC3+HkbtOIfJO/RjJmwuFw0GfpKFae/oxcVOenbl9SMk8+T1dsEsndu7CKAMdivT4O1E2ojapGiUgwkBc4F7uRiAwEBgIUL17cXfUaY+5G6AVY/jRXflnNmYC8ZH+wIQXf+QgRISIqkk6LXyAwYg1FvB/im66TyJYpk6crNnch1ZyFparTVNVPVf3y58/v6XKMMXEdWQ+fNCRs0y+c+LMgWXx9KfL+B4i3N8HXrtJ8fn8CI9bgm7UTP/R438IjDXB3gJwAYve7XNQ1LN42IpIByInzYLoxJjWIioBfxsCcNkRey8KxzSXJkK8AxT75BK9s2Thx+TzNF/TmnGMbjfIOZGHXN+3q8jTC3f+KW4CyIlJKRDIB3YHlcdosB/q4nncGflVVdXNdxpikcHonfN4E1k8iukJXjm4shEY5KDbtMzLkz88/pwNps6QHVzlC1+LD+bD1056u2CQhtwaIqkYBQ4GVwB7gK1XdJSKjRaStq9kMIK+IHASeB15xZ03GmCQQHQXrJsK0xhByBu30Jcd/jCDi2HGKTp1K5vvuY/XBrfRa0ZsILvK073hGNOnh6apNEnP7dSCqugJYEWfYiFjPrwFd3F2HMSaJBO2DpYPh5F9QuRO0nMSpse8S+uefFB7/Dj716jJz609M3vE6aFYmNJxGywo1PF21cQO7Et0Yc3sc0fDHx87jHZl8oMts8O1A8A8/EPzNN+QdMpic7drx5q+zWXJ0Mhkd9zKzxWd2jUcaZgFijLm1s3vgu2fg2J9QoTW0ngzZCxB56hSnR40ma7Vq5B0yhP7fjmPzpYVkd1Tk686fUiRnHk9XbtzIAsQYk7DIa85jHRunQOYc0OEzqNoNRFCHg5OvvopGRZH37bG0+/oF/o1YS0G5n2W9JpM9s91+Nq2zADHGxO/wb/D9s3DhMFTrAc3HgU/emNEXv/yS0E1/kP214Tyy/g2C2Ylv1k7M6zTCTtNNJyxAjDE3unoeVr0O2+dD7lLw6DIo89ANTcIPHODsu+9Bw3q0j1hAuPdJ/AsO5d1HBnmmZuMRFiDGGCeHA3YshJWvQfhleOAFePAlyJj1hmYaEcGJYS8TnTULQ6ofINwrjAFlx/JsQ7uPR3pjAWKMgZN/w4phcHwzFK0NbT6AgnE7znYKmjqV8D17mNgxCxezeTO69sd0rBy3izuTHliAGJOeXT0Hv4yGv74An3zQ7iOo1hO84j+GERoQwLnp0/mlqhd/l8nL9GafUrf4fclctEkpLECMSY+ioyBgBqwZB+EhUO9JaPwyZMmZ4CRRV67wz9NDCM0Ji5qUZVmHzymVxzo2Tc8sQIxJb46shx9fhrO7oFQjeGQCFKhw00nCr4WxrG87Kl8K4dPeVfihzxxyZs1602lM2mcBYkx6cf4QrB4Be7+HnMWh65dQsQ3c4v5tp8+cYH3fDlQ9fIWVTSsx7ZUFZPT2TqaiTUpmAWJMWhd2EX6bCJungXcmaPI61B/6n7Or4rNj2x+cHjqQChciWdelKc+MnordMNRcZwFiTFoVHQkBM2Ht2xB2CWo+Cg+9DjkK3tbkP307l5yj3iJPtLLzxcEM6veMe+s1qY4FiDFpjSrsX+m8GPD8ASj1IPi/BfdWue1ZzJ38BlVmLOGCjzdhEyfQo2lLNxZsUisLEGPSktM7YdVrcHgt5L0PeiyEci1ueZzjuujoaGa98BgNf/qLfUWyUvGTeZQvV9G9NZtUywLEmLTgyhlYMxb+nguZ74EW46F2f/DOeNuzuBpyma/7t6Ph9tNsrpSfNjOXkSeX9aZrEmYBYkxqFhkGmz6CDZMh6hrUHQIPvgjZ7uyL/+jRg2zt343ax0JZ26QKT3ywgAwZ7Ewrc3MWIMakRqqwexmsegOCjznv0dFsNOQtc8ez+vP3X7j6/DOUuRLNxj5tGTJ8fNLXa9IktwSIiEwE2gARwCGgr6peiqddIHAFiAaiVNXPHfUYk6YEH4cfXoT9PzoPjLf/2HmgPBGWz/+MQhPex0eEg6+/wIAeA5K4WJOWuWsLZDUwXFWjRGQ8MBx4OYG2D6nqOTfVYUza4XA4ux/5+U1Qh/P+HHUHg3fi/hvPHvcCteat4HTuDPhM+pCO9Rslbb0mzXNLgKjqqlgv/wA6u+N9jEk3zu6F7/7nvKVsmSbOW8rmLpmoWUVFRTJ7aDcart3DzhLZqf35YkoWT9y8TPqWHMdA+gGLEhinwCoRUeAzVZ2W0ExEZCAwEKB48eJJXqQxKVJUuPMA+bpJkDn7DbeUTYzzF4L4qV97Gu69wO81i9Lt82/I7pMjiYs26UWiA0REfgbujWfUa6r6ravNa0AUMC+B2dyvqidEpACwWkT2quq6+Bq6wmUagJ+fnya2bmNSjfAQmNvRudVRpQv4vw3ZE9/77T/bN3P86SeoHhTB2lZ1GThhBt7Wp5W5C4kOEFV9+GbjReRxoDXQVFXj/cJX1ROuv2dFZClQB4g3QIxJVyLDYEF3OB4AnWdC5U53Nbvvv5pJvncmkT9a+fuZ/gwZ/GISFWrSM3edhdUCGAY0UtXQBNr4AF6qesX1vDkw2h31GJOqRIXDokchcAN0/Pyuw2PWmGfxW7CSszm98X77XXo39k+iQk16565jIB8CmXHulgL4Q1UHi0hhYLqqtgQKAktd4zMA81X1JzfVY0zqEB0FX/eHg6udt5Wt2iXRswq/Fsa8wZ2o/8cR/imVg9qfLKRUydJJWKxJ79x1Fla897hU1ZNAS9fzw0A1d7y/MamSwwHLhsCe76DFO1CrT6JndfzoYf4c2I36gSGsr1eaXh8vxidbtiQs1hiI/8bHxpjkpQo/PAf/fAVN3oB6QxI9q03rfmJ/17aUPRbC+h7+PDHrewsP4xbWlYkxnqYKK1+FrbPhgRecfVkl0lfTJlDmw1mQUTj4xosM7N4/6eo0Jg4LEGM8bcNk+ONjZ0eITd5I1Cyio6OZNawv9X/Ywr8FM3Hv5M/pWLNOEhdqzI0sQIzxpJAg+G2C897kLd5O1AWCwZcusHxABxruPMuWinl55POl5M+X+OtFjLlddgzEGE/a+D5Eh0PTNxMVHnt2/836Dk3w23mWtc2q03PxbxYeJtlYgBjjKSFnYcsMqNIV8sV74uJNrfx2Phce7UXh8+H8+WRPhky1e3iY5GW7sIzxlI1TnFsfjYbd8aSzxjxLrYUruZDdm6vjxvJ4i/ZJX58xt2ABYownXDnj3Pqo2u2ObgIVEnKZJYM6UW/rcXaWzE71j+ZRtkw5NxZqTMIsQIzxhN8/gOgIePCl255k9z9bOfy//tQ9Fc5vD1Sgz9QFZM2SxY1FGnNzdgzEmOSWiK2Pb+d/yuU+j1LofDh/DOrO4M+XWngYj7MtEGOS28Yprq2PW18wGB0dzexXn6Du8k2czp0B77ET6dukRTIUacytWYAYk5yunHbelrZa91tufZy/EMSPAzrSYPc5/iqXm8affkWRwkWTqVBjbs12YRmTnDZOgehIZ5clNxHw529sbduUGnvOsda/Jl2/WW/hYVIcCxBjksuV0xAw85ZbH4unTYCBg8kVEsX2559gyJR5ZLTrO0wKZLuwjEkuG953bn0kcOwjKiqS2c/2puHPOzhSIBN5Jn5Ez7r3J2+NxtwBCxBjksPlU66tjx6Q5783dTp58ijrB3al4cFg/qxSkFafLiF/3nweKNSY22e7sIxxN1X4dSw4ouLd+lj3y3L2dWxJpcPB/NbhQR5d+IuFh0kVbAvEGHf742PYNhfufw7ylLph1Jy3XqDa/BWEZhb2v/4Cg3sO8FCRxtw5t22BiMibInJCRLa5Hi0TaNdCRPaJyEERecVd9RjjEXu+g5WvQcW20GREzOCLF88xp3sT6nyxgsOFspHjiwV0svAwqYy7t0Amq+qkhEaKiDfwEdAMOA5sEZHlqrrbzXUZ437Ht8LXT0CRWtBxGng5f6/9ufFngl9+Hr9zkfzWqCKPvT+fbFntqnKT+nj6GEgd4KCqHlbVCGAh0M7DNRlz9y4GwoJukL0A9FgIGbMC8OWkV8k45GlyXo3i7+f6M/izbyw8TKrl7gAZKiI7RGSmiOSOZ3wR4Fis18ddw/5DRAaKSICIBAQFBbmjVmOSRthFmNfFecpuryWQPT9Xrlxidu/m+E1fytH8Wck4cw69ByX+3ufGpAR3FSAi8rOI7Izn0Q74BCgDVAdOAe/ezXup6jRV9VNVv/z57Y5rJoWKioBFj8KFI9B9HuQvx9Yt69jQqhF1A46xrkFZmn77GzVr1PZ0pcbctbs6BqKqD99OOxH5HPg+nlEngGKxXhd1DTMm9VGF5U9D4HroMA1K3s/8qaMp//kC8nnBn0/1ZtDTr3m6SmOSjNsOootIIVU95XrZAdgZT7MtQFkRKYUzOLoDPd1VkzFuowo/vwk7FsJDrxF6XysW9m1F/U2HOXRvZvKN/5DH7apyk8a48yysCSJSHVAgEBgEICKFgemq2lJVo0RkKLAS8AZmquouN9ZkTNJzRMMPz8PW2eDXj3/ueZB/W99P/VPhbKhTkq4ffkXOe3J4ukpjkpzbAkRVH01g+EmgZazXK4AV7qrDGLeKvAbfDHBe7/HAC3x1MDOlXu9LIQf8PqAzT7w4xtMVGuM2diW6MYl17TIs7AmB6wl76E3mz11Lg/X7CSyQiRxvTab//U08XaExbmUBYkxihJyFuZ3g7G52VHqeYyPn0OB0OL/XLEq7qQvIZ31ZmXTA0xcSGpP6XAyEmf44gg7wVeQjRI9ZSIFL4Wwa2JX+81dbeJh0w7ZAjLkTp/+BuZ0IDgtnxd+lqL57K3uLZqPY+I/pV6uup6szJllZgBhzu/Z8B98M4u8rObi8JjtVLl9ibdOq9Jk0x7ojMemSBYgxt+JwwLqJRP36Fj8cK0GZPyIhB+wf+SJDuvf3dHXGeIwFiDE3E3EVlg7m1LYf+SugGOWORbKlYl4eeP9LGpUodevpjUnDLECMScjFf2FhTzbuPErGjfkpHB3Nuu7+DHjjXby9vT1dnTEeZwFiTHwCN3B1/mP8+ndG7vsnO0cKZiLb6IkMatTc05UZk2JYgBgTmypsmc6+JSM58XtO7jsH6+qXodv788iVM6enqzMmRbEAMea68CtELXuaX1eupeDmnGTNJGx9rh+D7L4dxsTLAsQYgDO7ODajFzvXhlHyaFZ2lM5B5Ukz6F2piqcrMybFsgAx6Z5j65f8Nn0E9/yehXsdXvzW+SEGvDmVDBnsQLkxN2MBYtKviFBOLXiSvxZvovTBLBwonJk8o99jsHWCaMxtsQAx6dO5A/z2Thcy/xpO8WterPWvSZ93ZtgV5cbcAQsQk76ocmHtx2yc+gH37fbiWH5vLo4dzZCWHT1dmTGpjgWIST/CLrFxUhf0++OUvuzFxoal6fzefDs915hEsu7cTboQsmc1y/vVJ9e840Qj7H3jOQbM+MHCw5i74JYtEBFZBJR3vcwFXFLV6vG0CwSuANFAlKr6uaMek45FR7H504Fcnf87Zc8Lm6vnp9n7i2h0byFPV2ZMqueWAFHVbtefi8i7QPBNmj+kqufcUYdJ38JP7+en4V0o/WcE0VmFrU/3os9Tr3u6LGPSDLceAxERAboCdl6kST6qBHw5nEszllHujLCjfHZqvDeX+mXK33paY8xtc/dB9AeAM6p6IIHxCqwSEQU+U9Vpbq7HpHGhZw/z07DOlN0cRo4swuZHm/HYq1Nw/pYxxiSlRAeIiPwM3BvPqNdU9VvX8x7AgpvM5n5VPSEiBYDVIrJXVdcl8H4DgYEAxYsXT2zZJg1bN2s40TOWUfEc7KiQjeoT5tKnXEVPl2VMmiWq6p4Zi2QATgC1VPX4bbR/EwhR1Um3auvn56cBAQF3X6RJEy6ePsIvL3am4tZQgn3g3x6t6P78RNvqMCYOEdmalCcruXMX1sPA3oTCQ0R8AC9VveJ63hwY7cZ6TBq08rNXyDrrW3wvwfaqPtSfuJAGJe7zdFnGpAvuDJDuxNl9JSKFgemq2hIoCCx1/UrMAMxX1Z/cWI9JQ84c28f6F3vguz2MoFyw7+kOdH/qLU+XZUy64rYAUdXH4xl2Emjpen4YqOau9zdp13fvPU3eBT9TMQS218pBk0lLKFDIjosZk9ysKxOTavy77y+2vtKXinsiOJ0Xjr7Ui+797LoOYzzFAsSkeA6Hg6Vv9afoN39Q9hpsq5+bRyYtJVfegp4uzZh0zQLEpGi7/vyJg6NeotLhKI4XhKsvD6JHt2c9XZYxBgsQk0KFh11l6UsdKf/bUUoA2xsXpM3EZfjkyOXp0owxLhYgJsVZM38S0Z/MpFqQcrCUF4VfGkn3Jl09XZYxJg4LEJNinD62j3XDeuP7dwiXs8Ou7jXp8PocvDPYx9SYlMj+ZxqPczgcLB3Xn8LL/sD3KuyqnpUGY+dQ/74qni7NGHMTFiDGozavnEfQu29R6aiDEwXg8tCedO37hqfLMsbcBgsQ4xHnzx5j9bBu+G6+SMGMsN2/GG3HLSFb9ns8XZox5jZZgJhk5XA4+HbCYAp8vZ5qV2B3pUxUen0y3WvaLWOMSW0sQEyy2frLV5ycMJoK/0ZzMj8c7t+OToPf8XRZxphEsgAxbnf2xGHWDO9NpYCLFMkA25sWpvXbi8l+Tx5Pl2aMuQsWIMZtoiIjWDrqMYr9uJ2qV2GXbyZ8X3mX7rUf9nRpxpgkYAFi3GLN/ElETptJ5dPK0UIQ/FR3Ovcb6emyjDFJyALEJKlD//zO328OxXdXGME+sKNdedqPmk/mLNk8XZoxJolZgJgkEXz+ND++2pPyv5+ifDTs8MvO/aNnUa90ZU+XZoxxEwsQc1eiIiNYNm4AhX7YQrUrsL+MNwWefJ5urfp5ujRjjJtZgJhEW/3FW+jMufieVk4UgIOPPkLboZMQLy9Pl2aMSQYWIOaO7dj4HYfGv06F/RFcyg472pWj3ZvzyZLVx9OlGWOS0V39VBSRLiKyS0QcIuIXZ9xwETkoIvtExD+B6UuJyJ+udotEJNPd1GPc6999f/FVrzrIE8ModTiC7fVzUfKbb+k2/lsLD2PSobvd17AT6Aisiz1QRCoB3QFfoAXwsYh4xzP9eGCyqt4HXAT632U9xg0unjvNgsFNONelF75/XWFfpczIpxPpPmsThYqX83R5xhgPuatdWKq6B0BE4o5qByxU1XDgiIgcBOoAm643EOdETYCerkFzgDeBT+6mJpN0wsOu8u3oPhRbvYvqIXCgtBe5+g+hc6ehni7NGJMCuOsYSBHgj1ivj7uGxZYXuKSqUTdpE0NEBgIDXS/DRWRnEtWa3uUEgm+r5T7gx6eBp91ZT2p3++vT3A5bn0mrfFLO7JYBIiI/A/fGM+o1Vf02KYu5GVWdBkxz1RSgqn63mMTcBhGZpqoDb93S3A5bn0nL1mfSEpGApJzfLQNEVRPTcdEJoFis10Vdw2I7D+QSkQyurZD42hj3+87TBaQxtj6Tlq3PFMxdJ+wvB7qLSGYRKQWUBTbHbqCqCqwBOrsG9QGSbYvGOKmq/QdNQrY+k5atz5Ttbk/j7SAix4H6wA8ishJAVXcBXwG7gZ+Ap1Q12jXNChEp7JrFy8DzroPseYEZt/nW0+6mbmOMSaeS9LtTnBsCxhhjzJ2xPifSGBFp4bp486CIvOIaNkNEtovIDhFZIiLZE5g23os/45tnenGzZReRD0Qk5CbT2vqMJYHP5mwROSIi21yP6glM20dEDrgefWINryUi/7jm+YHEc02BcSNVtUcaeQDewCGgNJAJ2A5UAu6J1eY94JV4pq3kap8ZKOWaj3dC8/T0snpyfbrG+QFfAiEJTGvr8/Y+m7OBzreYNg9w2PU3t+t5bte4zUA9QIAfgUc8vazp6eHxLZAEfpXMcw3bKSIzRSRjAtPar5Ib1QEOquphVY0AFgLtVPUyxFy8mRWIb79lzMWfqnoEuH7xZ7zzTIZlSQniXXZXrwoTgWE3mdbW543uZrn9gdWqekFVLwKrgRYiUgjnj6M/1JkmXwDt3VB7ipTAd6eIyDgR2S8ie0TkfwlMmyTfnR4NENd/xI+AR3D+Gunh6gZlHlABqILzC29APNPmAUYCdXF+OEeKSG7X6E+AJ3Ce/VUWZ3cq6UER4Fis1zEXZ4rILOA0zvU61TWsrYiMvsW0Cc4zHUho2YcCy1X1VOzGtj5v6mbLPc61e3WyiGQGEBE/EZl+i2mLuJ7HN8807SbfnY/jvISigqpWxBnUcadNsu9OT2+BJPSLeYW64NxELRrPtPar5A6oal+gMLAH6OYatlxVR3i0sNQnG9AFVwjHZuszUYbj/FFTG+cuqpcBVDVAVf/zw9HESGiLbggwWlUdAKp6Np5pk+y709MBctNfY65dV4/iPBXYfpXc2k0v4FTnqdQLgU53MO3tXBSaVsW37IeA+4CDIhIIZHOdhn4706bn9RnvcqvqKddvxXBgFs4vxtua1vUoGs/w9CCh778yQDcRCRCRH0WkLLjvu9PTAXIrHwPrVHU92K+S27AFKCvObvIz4ewRebmI3Acxx0DaAnvjmTahiz/jnWcyLEtKEN+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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "pyephemout['elevation'].plot(label='pyephem')\n", - "pyephemout['apparent_elevation'].plot(label='pyephem apparent')\n", - "ephemout['elevation'].plot(label='ephem')\n", - "ephemout['apparent_elevation'].plot(label='ephem apparent')\n", - "plt.legend(ncol=2)\n", - "plt.title('elevation')\n", - "plt.xlim(pd.Timestamp('2015-06-28 02:00:00+02:00'), pd.Timestamp('2015-06-28 06:00:00+02:00'))\n", - "plt.ylim(-10,10);" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "datetime.datetime(2020, 9, 14, 13, 24, 13, 861913, tzinfo=)" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# use calc_time to find the time at which a solar angle occurs.\n", - "pvlib.solarposition.calc_time(\n", - " datetime.datetime(2020, 9, 14, 12),\n", - " datetime.datetime(2020, 9, 14, 15),\n", - " 32.2,\n", - " -110.9,\n", - " 'alt',\n", - " 0.05235987755982988, # 3 degrees in radians\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "datetime.datetime(2020, 9, 15, 1, 13, 2, 720384, tzinfo=)" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pvlib.solarposition.calc_time(\n", - " datetime.datetime(2020, 9, 14, 22),\n", - " datetime.datetime(2020, 9, 15, 4),\n", - " 32.2,\n", - " -110.9,\n", - " 'alt',\n", - " 0.05235987755982988, # 3 degrees in radians\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Speed tests" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "times = pd.date_range(start='20180601', freq='1min', periods=14400)\n", - "times_loc = times.tz_localize(loc.tz)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "421 ms ± 4.04 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "# NBVAL_SKIP\n", - "\n", - "pyephemout = pvlib.solarposition.pyephem(times_loc, loc.latitude, loc.longitude)\n", - "#ephemout = pvlib.solarposition.ephemeris(times, loc)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "25.9 ms ± 798 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "# NBVAL_SKIP\n", - "\n", - "#pyephemout = pvlib.solarposition.pyephem(times, loc)\n", - "ephemout = pvlib.solarposition.ephemeris(times_loc, loc.latitude, loc.longitude)" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "134 ms ± 1.28 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "# NBVAL_SKIP\n", - "\n", - "#pyephemout = pvlib.solarposition.pyephem(times, loc)\n", - "ephemout = pvlib.solarposition.get_solarposition(times_loc, loc.latitude, loc.longitude,\n", - " method='nrel_numpy')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This numba test will only work properly if you have installed numba. " - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/holmgren/git_repos/pvlib-python/pvlib/solarposition.py:266: UserWarning: Reloading spa to use numba\n", - " warnings.warn('Reloading spa to use numba')\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "31.4 ms ± 2.17 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "# NBVAL_SKIP\n", - "\n", - "#pyephemout = pvlib.solarposition.pyephem(times, loc)\n", - "ephemout = pvlib.solarposition.get_solarposition(times_loc, loc.latitude, loc.longitude,\n", - " method='nrel_numba')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The numba calculation takes a long time the first time that it's run because it uses LLVM to compile the Python code to machine code. After that it's about 4-10 times faster depending on your machine. You can pass a ``numthreads`` argument to this function. The optimum ``numthreads`` depends on your machine and is equal to 4 by default." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "26 ms ± 652 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "# NBVAL_SKIP\n", - "\n", - "#pyephemout = pvlib.solarposition.pyephem(times, loc)\n", - "ephemout = pvlib.solarposition.get_solarposition(times_loc, loc.latitude, loc.longitude,\n", - " method='nrel_numba', numthreads=16)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "25.9 ms ± 1.04 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n" - ] - } - ], - "source": [ - "%%timeit\n", - "# NBVAL_SKIP\n", - "\n", - "ephemout = pvlib.solarposition.spa_python(times_loc, loc.latitude, loc.longitude,\n", - " how='numba', numthreads=16)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "pvlib38ci", - "language": "python", - "name": "pvlib38ci" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.5" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/tutorials/tmy.ipynb b/docs/tutorials/tmy.ipynb deleted file mode 100644 index 7b371919c0..0000000000 --- a/docs/tutorials/tmy.ipynb +++ /dev/null @@ -1,483 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# TMY tutorial\n", - "\n", - "This tutorial shows how to use the ``pvlib.tmy`` module to read data from TMY2 and TMY3 files.\n", - "\n", - "This tutorial has been tested against the following package versions:\n", - "* pvlib 0.3.0\n", - "* Python 3.5.1\n", - "* IPython 4.1\n", - "* pandas 0.18.0\n", - "\n", - "Authors:\n", - "* Will Holmgren (@wholmgren), University of Arizona. July 2014, July 2015, March 2016." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# built in python modules\n", - "import datetime\n", - "import os\n", - "import inspect\n", - "\n", - "# python add-ons\n", - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "# plotting libraries\n", - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "try:\n", - " import seaborn as sns\n", - "except ImportError:\n", - " pass\n", - "\n", - "import pvlib" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "pvlib comes packaged with a TMY2 and a TMY3 data file." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "# Find the absolute file path to your pvlib installation\n", - "pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib)))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Import the TMY data using the functions in the ``pvlib.iotools`` module." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "tmy3_data, tmy3_metadata = pvlib.iotools.read_tmy3(os.path.join(pvlib_abspath, 'data', '703165TY.csv'))\n", - "tmy2_data, tmy2_metadata = pvlib.iotools.read_tmy2(os.path.join(pvlib_abspath, 'data', '12839.tm2'))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Print the TMY3 metadata and the first 5 lines of the data." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'USAF': 703165, 'Name': '\"SAND POINT\"', 'State': 'AK', 'TZ': -9.0, 'latitude': 55.317, 'longitude': -160.517, 'altitude': 7.0}\n" - ] - }, - { - "data": { - "text/html": [ - "
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Date (MM/DD/YYYY)Time (HH:MM)ETRETRNGHIGHISourceGHIUncertaintyDNIDNISourceDNIUncertainty...AODAODSourceAODUncertaintyAlbAlbSourceAlbUncertaintyLprecipdepthLprecipquantityLprecipSourceLprecipUncertainty
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AOD AODSource \\\n", - "1997-01-01 01:00:00-09:00 0 ... 0.051 F \n", - "1997-01-01 02:00:00-09:00 0 ... 0.051 F \n", - "1997-01-01 03:00:00-09:00 0 ... 0.051 F \n", - "1997-01-01 04:00:00-09:00 0 ... 0.051 F \n", - "1997-01-01 05:00:00-09:00 0 ... 0.051 F \n", - "\n", - " AODUncertainty Alb AlbSource AlbUncertainty \\\n", - "1997-01-01 01:00:00-09:00 8 0.24 F 8 \n", - "1997-01-01 02:00:00-09:00 8 0.24 F 8 \n", - "1997-01-01 03:00:00-09:00 8 0.24 F 8 \n", - "1997-01-01 04:00:00-09:00 8 0.24 F 8 \n", - "1997-01-01 05:00:00-09:00 8 0.24 F 8 \n", - "\n", - " Lprecipdepth Lprecipquantity LprecipSource \\\n", - "1997-01-01 01:00:00-09:00 -9900 -9900 ? \n", - "1997-01-01 02:00:00-09:00 -9900 -9900 ? \n", - "1997-01-01 03:00:00-09:00 -9900 -9900 ? \n", - "1997-01-01 04:00:00-09:00 -9900 -9900 ? \n", - "1997-01-01 05:00:00-09:00 -9900 -9900 ? \n", - "\n", - " LprecipUncertainty \n", - "1997-01-01 01:00:00-09:00 0 \n", - "1997-01-01 02:00:00-09:00 0 \n", - "1997-01-01 03:00:00-09:00 0 \n", - "1997-01-01 04:00:00-09:00 0 \n", - "1997-01-01 05:00:00-09:00 0 \n", - "\n", - "[5 rows x 68 columns]" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "print(tmy3_metadata)\n", - "tmy3_data.head(5)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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m7EYusyTn3H/z7Aq+dM1UAP75zOM45Z1v2e3fWbc3aEvjiVvpT6im+OJvt96jvp3dJylUSO98vfN/41dPvHJ60cr0th/MaDhS5daS310euVsRql3uibxDWuuk/oUiRQwo3O11k8YjWulyN6sFD91rJo1Bp8u9g8xYvLOPJ1gziviouKvdilCrcu/EF8mu/J9buYdHp7rqwbllRzBrSq3K3ayKBnTiqKTGUtnRw+VecT4uSfX5MbQiVLrcvX+w1YGfxfWSynt1pcu9966QiawNtVUizyPbDamUgdVLpcvdzCw1qUyzudwrLpHnke0GTy/WSyqPpsvdrGyptIG1RCoDLpd7xXnUV31+BOslldeky92sZKmM9KxeKl3uqbxD2muXygc+yuTnsRWh0uVueJ2+gqLXO5pH7vWSyuNZq3Lv/aIxM2u3RLq92uXu47lbHaQy0rPWSKWVKl3utj2vvVTPALe7FcDlbtZmfv+1dnC5m5nVkMvdzKyFUplkc7mblSyVA01Zvbjcqy52etYS5MfI2sHlblYyf81evaTy5u1yNyuZu92KUOly9y5l2/N9YlauVD63UOlyN6sif9Cs3hLpdpd73aTyxDLrVB65WyE8KKyeVMrAWiOVDeQud7M26/3+626vlwGJtLvL3cyshVJZEyus3CWdImm2pDmSxhf1d8yqL40ysNZIZOBeTLlLGgj8CDgVOBL4jKQji/hbZmYpSWXkPqig3zsKmBMRzwFIuh4YA8xs5R95qWfTNucfmfsCS15c38o/kbze98HvF63ioTnLm7pts8u1ykNzlrNh85ZtL3t2+Xb/h963SVkz+Xovs2nLtrPuDz+7PPn/pzXvqT+sSeLxVBH73Er6JHBKRHw+P38W8N6IuKBhmXOBcwEOOeSQ4+bPn7/Lf+e6Rxdw4U1PtCa0mVlJ5k382Gu6naSpEdHV13VFjdz7Wi/Z5l0kIiYBkwC6urpe0zvMx4/5I+6cuZR7nlrG6ccOY+yoQ17Lr6m82x9fzOTfzGfUiAP4+slv3+FyWyI475qprFy3kavGdfGGvfYoNFdEcOl/zuZ381ZyyelH88eD9wXggae7+eG9c/jY0UMZ94ER29xmyvwX+H+/ns3IA/dh4ulHJ3fExA2btnDmVY8AcPkZ7+bAfffcbpnnul9i/E1PsN/eezDprD5fdzz4TDc/uGcO7xz2Rr7150cVmtmKs2zNei64dtor598zYn++/tG39/u83bR5C2dc9QgR8G/nH19ItqJG7u8H/i4iTs7PXwgQEZf0tXxXV1dMmTKl5TnMzOpsZyP3ovaW+R1wmKSRkl4HjAVuKehvmZlZL4VMy0TEJkkXAP8BDAR+EhEzivhbZma2vaLm3ImIO4A7ivr9Zma2Y/6EqplZDbnczcxqyOVuZlZDhewKucshpG5g1z/FtOsOBMr/6Fj/qpITqpPVOVvLOVvvtWR9a0QM7uuKJMq9XSRN2dE+oSmpSk6oTlbnbC3nbL1WZ/W0jJlZDbnczcxqqNPKfVLZAZpUlZxQnazO2VrO2XotzdpRc+5mZp2i00buZmYdweVuZlZDLnezNlNqB6nfgarktL7Vstyr8qSUVIn7X1JhB5jrUMV+S0rrVOX5eWD+c2DZWXZGUpekIe36e5V48Joh6R35l4QQCW8llnS0pL8GiIgt/S1fJknvl/Rj4D1lZ9kZSe+S9AVJbyk7y87k9+cvgEslHZlqGUkaJeka4JL8+ZpcTyizt6TrgJsBImJzybH6JOkoSQ8D3wb2a9ffTe5B21WS3pQX0PXAxZImSDq07Fw7MQH4B0kfhnRHG5K+QLZr1mPAtBRzStpD0r8AVwEfAiZIem/JsfqUj9h+SHYY7OXAV4HP5dclsaYpaYCkbwNXAv9Odkjw84FjSg3Wh8isy88eKOk8SHZt+KvAryLi4xHxNLTnMU/xjthV/4dsl85jgC8CbwZGlJqoDw3l+ADwT8B3IBttJPqEPAT424i4IiLWJzoqeifwpog4LiLOJHs+p3ockWOApyPip8A/AjcBYyQdHhGRQsHna5KLgM9GxM/IBiJvJfvCnaRIGiRpKLAUOAc4T9J+EbElpddTPmUUZG/sSPoLSQcDr8/PF/a4J3Mn7Ir86/ten5/9MfAtgIh4lmy15+iysjXKc279BuUt+QN5MlnmZZI+D9mLquwXd2NWSQeQFeejkj4i6T8kfUPS6fn1pWXNc+619Szw6Xzt7XTgfcBoSccmkPMzkv5e0ifyi6YBXZL+OCLWkn0V5RSyAUlpU4l5zosacl4LTJe0Z0SsANYAQ8vI1qjh/vw4ZN/2FhFLgJHAPOB+YHx+/5Y23dk7J7AW+CDwkXyq64tkA7vLoODHPSIq849sRP7vwN3AjcDbG657Xf7zp8AnUsvJqx8Y+0dgL+DdwGzgF8DBCWV9R375lfllPwDGAGcD04FjEsl5ZH75xcB1wDLgrPz8rcDhJeUU8CWyMj87f4w/nz/m3wR+kC83ADgBuAIYmkDOp/Ofb2hYZg/g4bLuy53cn2cD+5CtVVyWL/cJYDXZNOKewB4J5PxCft3XgAXAWfn5Yfn9emqRmZIfufcafX0deCQiRgP3ks2xH5Vft3XaYBiwML9t2/5//eUEDs9HxkPIRhtnAAcBQyJiUTvntHeS9R7gO5JGkm38ORpYHBE3RzadcAdZ0Zedc+tjf3hEfBOYAXwyIv6VbEQ0Fzi+XTkbRfbqfT8wMb/Pzgc+DIwmu/8OlXRiZKPLFWTP1xcTyPnlPOMHG+73I4GlEfG0pDdIGpVAzvOBE8lGwyuBkZJuBb5LNnqfHxE9EbExgZx/KukU4Cdk2y+G5Ms+DzwIFLqGkXy5k414GnfHmwEQET8ERgH/U9KQyOauDwVeiIhp+QaWb0pq19bp/nJ+luzB3QQ8CuwLfAQ4RNJ/i/bOae8o64+A44BzgW6y0fsnG243hGzE0S47u0+PAz6Xv4GvBz6dX7e1MGe2K6Sk/yXpQ/l0FsAsYJikQRFxF/Ak2ZRRN9m0x2X5c3U02YjvdYnkfIJsbeKt+fUHAOskfZbscT+6HVNdTeR8PM95OPA88BxwXER8HBgu6biiM+5Czg8DG4CvAOOU7dl1Htkb1Lwi8yW7/7Kkk4C/AWZLeiAibpD0AnCspKfzxZ4keyK+mWy1/G3AeyTdS/aC/1pErEog5wyywnkT2TTMxIiYnd/+W0ChGV9D1kOAQyLiG5KOkDSR7Em6OL8+hZxPAsPJXuB3ALdJ+i5ZiW59wReZUcBbyMp6C/AssE/+wl1IttZzKPAU2Z5c3wfeHBHXSBoOjAeOIFt1L+zx38WcP89z7k9WPKcCnwF6gDMi4vFEct5ANr35C7LX+IaGXzU6IgpbE3oNj/tlZFOIN+Zr7p8GjiKbopldVE4gzTn3/M55hGwK4FiyOdUvA28gm7e8jWy1piu/k/8yv90ZwAvAiQnmvB44r+G2A4ABCd+nf5Xf7o1kJfTRBHNeB1yQ3+5dZBur/qINGQfmPw8HrslPDwIuByaTzVX/hGwbwJvy668GJjT8jtclnPM7+enjgf+RaM7JwEX5abXjtbS79+fWrEXn3PovmZH71vnxyOYi3wtMjYib8+vuIn+njoiLJb0tIp7Lr3uIbGQBcH1ku3ClmPO/gI35aUUbtui36D5dExFPkY1EUsy5Pr/tdLINvoXJp4cuAgZKuoPsjW9z/vc3SboAWEI2V30tcBpwMHAJ2SjvlSmt2Ha0mVrO3+TLPlRUxhbk3Ew2CCCy1ixsr5NW3Z8NWdsiiTl3SWeT7V97cX7RE8BnJI3Izw8iW/35fn5+bn67c8n2cX0Miv+EWgtzFv4AVyXrbub83NacRZP0IWAq2ZTFnDzvRrKNZqPglTeni4D/G9mc6yTgBEmP5Le7zzmds23atYqwk1WdfYF/I/sU12PAEfnll5Gtdj8EXEM2l3U7cFB+/dfI9hV+j3NWM2tVcuZ/84Pku7Ll5y8HziPbUD41v2wA2XzsL4AR+WX7AcOc0znb/a+0P9zrDjwk/zkR+Hl+eiDZ1voT8vPDyeav9szP7+2c1c9aoZx7k+0/vXXe9Qzgkvz0dOAr+eku4LoyHnPn7Nycff1LYlomIhbkJy8j22/15MimWF6MiAfz674ErCPblZB49bgSztmHqmStUM51ke0/vXXq7ySyXRsh+9DKOyTdRrbG0Zapor44Z2tVJWefyn536eOd8ovA/Q3nR5Ed9e0O4C1l56taziplrUJOsrWKAWSflj00v+xQstXwEyh5Vdw5Oztn47+kvkNV0oDIjrPyS7Ktzz3AXcAzkR03JglVyQnVyVqhnFs/dHQl8CuyjboryFbPV5eZrZFztlZVcm6j7HeXPt4h9yY7cuJy8v3XU/xXlZxVylqhnO8j28XtQeCcsvM4p3P29S+Z/dwbfJls7uqkiOjpb+ESVSUnVCdrVXIuAv4W+J5ztoRzFiCpaRl4dfW87Bz9qUpOqE7WquQ0q4Lkyt3MzHZfErtCmplZa7nczcxqyOVuZlZDLnczsxpyuZuZ1ZDL3cyshv4/UGOwob7QTmUAAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "tmy3_data['GHI'].plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The TMY readers have an optional argument to coerce the year to a single value." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "tmy3_data, tmy3_metadata = pvlib.iotools.read_tmy3(os.path.join(pvlib_abspath, 'data', '703165TY.csv'), coerce_year=1987)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "tmy3_data['GHI'].plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here's the TMY2 data." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'WBAN': '12839', 'City': 'MIAMI', 'State': 'FL', 'TZ': -5, 'latitude': 25.8, 'longitude': -80.26666666666667, 'altitude': 2.0}\n", - " year month day hour ETR ETRN GHI GHISource \\\n", - "1962-01-01 00:00:00-05:00 62.0 1.0 1.0 1.0 0.0 0.0 0.0 ? \n", - "1962-01-01 01:00:00-05:00 62.0 1.0 1.0 2.0 0.0 0.0 0.0 ? \n", - "1962-01-01 02:00:00-05:00 62.0 1.0 1.0 3.0 0.0 0.0 0.0 ? \n", - "1962-01-01 03:00:00-05:00 62.0 1.0 1.0 4.0 0.0 0.0 0.0 ? \n", - "1962-01-01 04:00:00-05:00 62.0 1.0 1.0 5.0 0.0 0.0 0.0 ? \n", - "\n", - " GHIUncertainty DNI ... PwatUncertainty AOD \\\n", - "1962-01-01 00:00:00-05:00 0.0 0.0 ... 8.0 62.0 \n", - "1962-01-01 01:00:00-05:00 0.0 0.0 ... 8.0 62.0 \n", - "1962-01-01 02:00:00-05:00 0.0 0.0 ... 8.0 62.0 \n", - "1962-01-01 03:00:00-05:00 0.0 0.0 ... 8.0 62.0 \n", - "1962-01-01 04:00:00-05:00 0.0 0.0 ... 8.0 62.0 \n", - "\n", - " AODSource AODUncertainty SnowDepth \\\n", - "1962-01-01 00:00:00-05:00 F 8.0 0.0 \n", - "1962-01-01 01:00:00-05:00 F 8.0 0.0 \n", - "1962-01-01 02:00:00-05:00 F 8.0 0.0 \n", - "1962-01-01 03:00:00-05:00 F 8.0 0.0 \n", - "1962-01-01 04:00:00-05:00 F 8.0 0.0 \n", - "\n", - " SnowDepthSource SnowDepthUncertainty LastSnowfall \\\n", - "1962-01-01 00:00:00-05:00 A 7.0 88.0 \n", - "1962-01-01 01:00:00-05:00 A 7.0 88.0 \n", - "1962-01-01 02:00:00-05:00 A 7.0 88.0 \n", - "1962-01-01 03:00:00-05:00 A 7.0 88.0 \n", - "1962-01-01 04:00:00-05:00 A 7.0 88.0 \n", - "\n", - " LastSnowfallSource LastSnowfallUncertaint \n", - "1962-01-01 00:00:00-05:00 E 7.0 \n", - "1962-01-01 01:00:00-05:00 E 7.0 \n", - "1962-01-01 02:00:00-05:00 E 7.0 \n", - "1962-01-01 03:00:00-05:00 E 7.0 \n", - "1962-01-01 04:00:00-05:00 E 7.0 \n", - "\n", - "[5 rows x 70 columns]\n" - ] - } - ], - "source": [ - "print(tmy2_metadata)\n", - "print(tmy2_data.head())" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/tutorials/tmy_and_diffuse_irrad_models.ipynb b/docs/tutorials/tmy_and_diffuse_irrad_models.ipynb deleted file mode 100644 index 28b4630b01..0000000000 --- a/docs/tutorials/tmy_and_diffuse_irrad_models.ipynb +++ /dev/null @@ -1,748 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# TMY data and diffuse irradiance models\n", - "\n", - "This tutorial explores using TMY data as inputs to different plane of array diffuse irradiance models.\n", - "\n", - "This tutorial requires pvlib > 0.6.0.\n", - "\n", - "Authors:\n", - "* Rob Andrews (@Calama-Consulting), Heliolytics, June 2014\n", - "* Will Holmgren (@wholmgren), University of Arizona, July 2015, March 2016, August 2018" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setup" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "See the ``tmy_to_power`` tutorial for more detailed explanations for the initial setup" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# built-in python modules\n", - "import os\n", - "import inspect\n", - "\n", - "# scientific python add-ons\n", - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "# plotting stuff\n", - "# first line makes the plots appear in the notebook\n", - "%matplotlib inline \n", - "import matplotlib.pyplot as plt\n", - "\n", - "# finally, we import the pvlib library\n", - "import pvlib" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "# Find the absolute file path to your pvlib installation\n", - "pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib)))\n", - "\n", - "# absolute path to a data file\n", - "datapath = os.path.join(pvlib_abspath, 'data', '703165TY.csv')\n", - "\n", - "# read tmy data with year values coerced to a single year\n", - "tmy_data, meta = pvlib.iotools.read_tmy3(datapath, coerce_year=2015)\n", - "tmy_data.index.name = 'Time'\n", - "\n", - "# TMY data seems to be given as hourly data with time stamp at the end\n", - "# shift the index 30 Minutes back for calculation of sun positions\n", - "tmy_data = tmy_data.shift(freq='-30Min')['2015']" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "tmy_data.GHI.plot()\n", - "plt.ylabel('Irradiance (W/m**2)');" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "tmy_data.DHI.plot()\n", - "plt.ylabel('Irradiance (W/m**2)');" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location: \n", - " name: SAND POINT\n", - " latitude: 55.317\n", - " longitude: -160.517\n", - " altitude: 7.0\n", - " tz: US/Alaska\n" - ] - } - ], - "source": [ - "surface_tilt = 30\n", - "surface_azimuth = 180 # pvlib uses 0=North, 90=East, 180=South, 270=West convention\n", - "albedo = 0.2\n", - "\n", - "# create pvlib Location object based on meta data\n", - "sand_point = pvlib.location.Location(meta['latitude'], meta['longitude'], tz='US/Alaska', \n", - " altitude=meta['altitude'], name=meta['Name'].replace('\"',''))\n", - "print(sand_point)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "solpos = pvlib.solarposition.get_solarposition(tmy_data.index, sand_point.latitude, sand_point.longitude)\n", - "\n", - "solpos.plot();" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# the extraradiation function returns a simple numpy array\n", - "# instead of a nice pandas series. We will change this\n", - "# in a future version\n", - "dni_extra = pvlib.irradiance.get_extra_radiation(tmy_data.index)\n", - "dni_extra = pd.Series(dni_extra, index=tmy_data.index)\n", - "\n", - "dni_extra.plot()\n", - "plt.ylabel('Extra terrestrial radiation (W/m**2)');" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "airmass = pvlib.atmosphere.get_relative_airmass(solpos['apparent_zenith'])\n", - "\n", - "airmass.plot()\n", - "plt.ylabel('Airmass');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Diffuse irradiance models" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Make an empty pandas DataFrame for the results." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "diffuse_irrad = pd.DataFrame(index=tmy_data.index)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "models = ['Perez', 'Hay-Davies', 'Isotropic', 'King', 'Klucher', 'Reindl']" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Perez" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "diffuse_irrad['Perez'] = pvlib.irradiance.perez(surface_tilt,\n", - " surface_azimuth,\n", - " dhi=tmy_data.DHI,\n", - " dni=tmy_data.DNI,\n", - " dni_extra=dni_extra,\n", - " solar_zenith=solpos.apparent_zenith,\n", - " solar_azimuth=solpos.azimuth,\n", - " airmass=airmass)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### HayDavies" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "diffuse_irrad['Hay-Davies'] = pvlib.irradiance.haydavies(surface_tilt,\n", - " surface_azimuth,\n", - " dhi=tmy_data.DHI,\n", - " dni=tmy_data.DNI,\n", - " dni_extra=dni_extra,\n", - " solar_zenith=solpos.apparent_zenith,\n", - " solar_azimuth=solpos.azimuth)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Isotropic" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "diffuse_irrad['Isotropic'] = pvlib.irradiance.isotropic(surface_tilt,\n", - " dhi=tmy_data.DHI)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### King Diffuse model" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "diffuse_irrad['King'] = pvlib.irradiance.king(surface_tilt,\n", - " dhi=tmy_data.DHI,\n", - " ghi=tmy_data.GHI,\n", - " solar_zenith=solpos.apparent_zenith)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Klucher Model" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "diffuse_irrad['Klucher'] = pvlib.irradiance.klucher(surface_tilt, surface_azimuth,\n", - " dhi=tmy_data.DHI,\n", - " ghi=tmy_data.GHI,\n", - " solar_zenith=solpos.apparent_zenith,\n", - " solar_azimuth=solpos.azimuth)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Reindl" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "diffuse_irrad['Reindl'] = pvlib.irradiance.reindl(surface_tilt,\n", - " surface_azimuth,\n", - " dhi=tmy_data.DHI,\n", - " dni=tmy_data.DNI,\n", - " ghi=tmy_data.GHI,\n", - " dni_extra=dni_extra,\n", - " solar_zenith=solpos.apparent_zenith,\n", - " solar_azimuth=solpos.azimuth)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calculate yearly, monthly, daily sums." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "yearly = diffuse_irrad.resample('A').sum().dropna().squeeze() / 1000.0 # kWh\n", - "monthly = diffuse_irrad.resample('M', kind='period').sum() / 1000.0\n", - "daily = diffuse_irrad.resample('D').sum() / 1000.0" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Plot Results" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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PerezHay-DaviesIsotropicKingKlucherReindl
count8760.0000008760.0000008760.0000008760.0000008760.0000004578.000000
mean55.39814352.45763649.09468153.06704253.610788100.774025
std80.43919775.43630472.13408376.34019178.79599978.355679
min0.0000000.0000000.0000000.0000000.0000000.000000
25%0.0000000.0000000.0000000.0000000.00000039.151044
50%3.7320514.1141613.7320514.0095733.73205187.163898
75%95.38900191.21720181.17210591.74984590.879727145.523600
max580.694617533.102519523.420126538.809780544.508380535.970735
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" - ], - "text/plain": [ - " Perez Hay-Davies Isotropic King Klucher \\\n", - "count 8760.000000 8760.000000 8760.000000 8760.000000 8760.000000 \n", - "mean 55.398143 52.457636 49.094681 53.067042 53.610788 \n", - "std 80.439197 75.436304 72.134083 76.340191 78.795999 \n", - "min 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "25% 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "50% 3.732051 4.114161 3.732051 4.009573 3.732051 \n", - "75% 95.389001 91.217201 81.172105 91.749845 90.879727 \n", - "max 580.694617 533.102519 523.420126 538.809780 544.508380 \n", - "\n", - " Reindl \n", - "count 4578.000000 \n", - "mean 100.774025 \n", - "std 78.355679 \n", - "min 0.000000 \n", - "25% 39.151044 \n", - "50% 87.163898 \n", - "75% 145.523600 \n", - "max 535.970735 " - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "diffuse_irrad.describe()" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "ax_daily = daily.tz_convert('UTC').plot(title='Daily diffuse irradiation')\n", - "ylabel = ax_daily.set_ylabel('Irradiation [kWh]')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Monthly" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "ax_monthly = monthly.plot(title='Monthly average diffuse irradiation', kind='bar')\n", - "ylabel = ax_monthly.set_ylabel('Irradiation [kWh]')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Yearly" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "yearly.plot(kind='barh');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Compute the mean deviation from measured for each model and display as a function of the model" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "mean_yearly = yearly.mean()\n", - "yearly_mean_deviation = (yearly - mean_yearly) / yearly * 100.0\n", - "yearly_mean_deviation.plot(kind='bar');" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/tutorials/tmy_to_power.ipynb b/docs/tutorials/tmy_to_power.ipynb deleted file mode 100644 index ae8fa43eb0..0000000000 --- a/docs/tutorials/tmy_to_power.ipynb +++ /dev/null @@ -1,1670 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# TMY to Power Tutorial\n", - "\n", - "This tutorial will walk through the process of going from TMY data to AC power using the SAPM.\n", - "\n", - "Table of contents:\n", - "1. [Setup](#Setup)\n", - "2. [Load TMY data](#Load-TMY-data)\n", - "2. [Calculate modeling intermediates](#Calculate-modeling-intermediates)\n", - "2. [DC power using SAPM](#DC-power-using-SAPM)\n", - "2. [AC power using SAPM](#AC-power-using-SAPM)\n", - "\n", - "This tutorial requires pvlib >= 0.6.0.\n", - "\n", - "Authors:\n", - "* Will Holmgren (@wholmgren), University of Arizona, July 2015, March 2016, August 2018.\n", - "* Rob Andrews (@Calama-Consulting), Heliolytics, June 2014" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setup" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "These are just your standard interactive scientific python imports that you'll get very used to using." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# built-in python modules\n", - "import os\n", - "import inspect\n", - "\n", - "# scientific python add-ons\n", - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "# plotting stuff\n", - "# first line makes the plots appear in the notebook\n", - "%matplotlib inline \n", - "import matplotlib.pyplot as plt\n", - "import matplotlib as mpl\n", - "\n", - "# finally, we import the pvlib library\n", - "import pvlib" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Load TMY data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "pvlib comes with a couple of TMY files, and we'll use one of them for simplicity. You could also load a file from disk, or specify a url. See this NREL website for a list of TMY files:\n", - "\n", - "http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/tmy3/by_state_and_city.html" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "# Find the absolute file path to your pvlib installation\n", - "pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib)))\n", - "\n", - "# absolute path to a data file\n", - "datapath = os.path.join(pvlib_abspath, 'data', '703165TY.csv')\n", - "\n", - "# read tmy data with year values coerced to a single year\n", - "tmy_data, meta = pvlib.iotools.read_tmy3(datapath, coerce_year=2015)\n", - "tmy_data.index.name = 'Time'\n", - "\n", - "# TMY data seems to be given as hourly data with time stamp at the end\n", - "# shift the index 30 Minutes back for calculation of sun positions\n", - "tmy_data = tmy_data.shift(freq='-30Min')['2015']" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The file handling above looks complicated because we're trying to account for the many different ways that people will run this notebook on their systems. You can just put a simple string path into the ``read_tmy3`` function if you know where the file is." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's look at the imported version of the TMY file." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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5 rows × 68 columns

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" - ], - "text/plain": [ - " Date (MM/DD/YYYY) Time (HH:MM) ETR ETRN GHI \\\n", - "Time \n", - "2015-01-01 00:30:00-09:00 01/01/1997 01:00 0 0 0 \n", - "2015-01-01 01:30:00-09:00 01/01/1997 02:00 0 0 0 \n", - "2015-01-01 02:30:00-09:00 01/01/1997 03:00 0 0 0 \n", - "2015-01-01 03:30:00-09:00 01/01/1997 04:00 0 0 0 \n", - "2015-01-01 04:30:00-09:00 01/01/1997 05:00 0 0 0 \n", - "\n", - " GHISource GHIUncertainty DNI DNISource \\\n", - "Time \n", - "2015-01-01 00:30:00-09:00 1 0 0 1 \n", - "2015-01-01 01:30:00-09:00 1 0 0 1 \n", - "2015-01-01 02:30:00-09:00 1 0 0 1 \n", - "2015-01-01 03:30:00-09:00 1 0 0 1 \n", - "2015-01-01 04:30:00-09:00 1 0 0 1 \n", - "\n", - " DNIUncertainty ... AOD AODSource \\\n", - "Time ... \n", - "2015-01-01 00:30:00-09:00 0 ... 0.051 F \n", - "2015-01-01 01:30:00-09:00 0 ... 0.051 F \n", - "2015-01-01 02:30:00-09:00 0 ... 0.051 F \n", - "2015-01-01 03:30:00-09:00 0 ... 0.051 F \n", - "2015-01-01 04:30:00-09:00 0 ... 0.051 F \n", - "\n", - " AODUncertainty Alb AlbSource AlbUncertainty \\\n", - "Time \n", - "2015-01-01 00:30:00-09:00 8 0.24 F 8 \n", - "2015-01-01 01:30:00-09:00 8 0.24 F 8 \n", - "2015-01-01 02:30:00-09:00 8 0.24 F 8 \n", - "2015-01-01 03:30:00-09:00 8 0.24 F 8 \n", - "2015-01-01 04:30:00-09:00 8 0.24 F 8 \n", - "\n", - " Lprecipdepth Lprecipquantity LprecipSource \\\n", - "Time \n", - "2015-01-01 00:30:00-09:00 -9900 -9900 ? \n", - "2015-01-01 01:30:00-09:00 -9900 -9900 ? \n", - "2015-01-01 02:30:00-09:00 -9900 -9900 ? \n", - "2015-01-01 03:30:00-09:00 -9900 -9900 ? \n", - "2015-01-01 04:30:00-09:00 -9900 -9900 ? \n", - "\n", - " LprecipUncertainty \n", - "Time \n", - "2015-01-01 00:30:00-09:00 0 \n", - "2015-01-01 01:30:00-09:00 0 \n", - "2015-01-01 02:30:00-09:00 0 \n", - "2015-01-01 03:30:00-09:00 0 \n", - "2015-01-01 04:30:00-09:00 0 \n", - "\n", - "[5 rows x 68 columns]" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tmy_data.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This is a ``pandas DataFrame`` object. It has a lot of great properties that are beyond the scope of our tutorials." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Plot the GHI data from the TMY file" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "tmy_data['GHI'].plot()\n", - "plt.ylabel('Irradiance (W/m**2)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Calculate modeling intermediates" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Before we can calculate power for all times in the TMY file, we will need to calculate:\n", - "* solar position \n", - "* extra terrestrial radiation\n", - "* airmass\n", - "* angle of incidence\n", - "* POA sky and ground diffuse radiation\n", - "* cell and module temperatures" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, define some PV system parameters." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location: \n", - " name: SAND POINT\n", - " latitude: 55.317\n", - " longitude: -160.517\n", - " altitude: 7.0\n", - " tz: US/Alaska\n" - ] - } - ], - "source": [ - "surface_tilt = 30\n", - "surface_azimuth = 180 # pvlib uses 0=North, 90=East, 180=South, 270=West convention\n", - "albedo = 0.2\n", - "\n", - "# create pvlib Location object based on meta data\n", - "sand_point = pvlib.location.Location(meta['latitude'], meta['longitude'], tz='US/Alaska', \n", - " altitude=meta['altitude'], name=meta['Name'].replace('\"',''))\n", - "print(sand_point)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Solar position" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calculate the solar position for all times in the TMY file. \n", - "\n", - "The default solar position algorithm is based on Reda and Andreas (2004). Our implementation is pretty fast, but you can make it even faster if you install [``numba``](http://numba.pydata.org/#installing) and use add ``method='nrel_numba'`` to the function call below." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "solpos = pvlib.solarposition.get_solarposition(tmy_data.index, sand_point.latitude, sand_point.longitude)\n", - "\n", - "solpos.plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The funny looking jump in the azimuth is just due to the coarse time sampling in the TMY file." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### DNI ET\n", - "\n", - "Calculate extra terrestrial radiation. This is needed for many plane of array diffuse irradiance models." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# the extraradiation function returns a simple numpy array\n", - "# instead of a nice pandas series. We will change this\n", - "# in a future version\n", - "dni_extra = pvlib.irradiance.get_extra_radiation(tmy_data.index)\n", - "dni_extra = pd.Series(dni_extra, index=tmy_data.index)\n", - "\n", - "dni_extra.plot()\n", - "plt.ylabel('Extra terrestrial radiation (W/m**2)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Airmass\n", - "\n", - "Calculate airmass. Lots of model options here, see the ``atmosphere`` module tutorial for more details." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "airmass = pvlib.atmosphere.get_relative_airmass(solpos['apparent_zenith'])\n", - "\n", - "airmass.plot()\n", - "plt.ylabel('Airmass');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The funny appearance is due to aliasing and setting invalid numbers equal to ``NaN``. Replot just a day or two and you'll see that the numbers are right." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### POA sky diffuse" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Use the Hay Davies model to calculate the plane of array diffuse sky radiation. See the ``irradiance`` module tutorial for comparisons of different models." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "poa_sky_diffuse = pvlib.irradiance.haydavies(surface_tilt, surface_azimuth,\n", - " tmy_data['DHI'], tmy_data['DNI'], dni_extra,\n", - " solpos['apparent_zenith'], solpos['azimuth'])\n", - "\n", - "poa_sky_diffuse.plot()\n", - "plt.ylabel('Irradiance (W/m**2)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### POA ground diffuse\n", - "\n", - "Calculate ground diffuse. We specified the albedo above. You could have also provided a string to the ``surface_type`` keyword argument." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "poa_ground_diffuse = pvlib.irradiance.get_ground_diffuse(surface_tilt, tmy_data['GHI'], albedo=albedo)\n", - "\n", - "poa_ground_diffuse.plot()\n", - "plt.ylabel('Irradiance (W/m**2)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### AOI\n", - "\n", - "Calculate AOI" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "aoi = pvlib.irradiance.aoi(surface_tilt, surface_azimuth, solpos['apparent_zenith'], solpos['azimuth'])\n", - "\n", - "aoi.plot()\n", - "plt.ylabel('Angle of incidence (deg)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that AOI has values greater than 90 deg. This is ok." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### POA total\n", - "\n", - "Calculate POA irradiance" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "poa_irrad = pvlib.irradiance.poa_components(aoi, tmy_data['DNI'], poa_sky_diffuse, poa_ground_diffuse)\n", - "\n", - "poa_irrad.plot()\n", - "plt.ylabel('Irradiance (W/m**2)')\n", - "plt.title('POA Irradiance');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Cell temperature\n", - "\n", - "Calculate pv cell temperature" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "thermal_params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm']['open_rack_glass_polymer']\n", - "pvtemps = pvlib.temperature.sapm_cell(poa_irrad['poa_global'], tmy_data['DryBulb'], tmy_data['Wspd'], **thermal_params)\n", - "\n", - "pvtemps.plot()\n", - "plt.ylabel('Temperature (C)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## DC power using SAPM" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Get module data." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "sandia_modules = pvlib.pvsystem.retrieve_sam(name='SandiaMod')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Choose a particular module" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Vintage 2009\n", - "Area 1.701\n", - "Material c-Si\n", - "Cells_in_Series 96\n", - "Parallel_Strings 1\n", - "Isco 5.09115\n", - "Voco 59.2608\n", - "Impo 4.54629\n", - "Vmpo 48.3156\n", - "Aisc 0.000397\n", - "Aimp 0.000181\n", - "C0 1.01284\n", - "C1 -0.0128398\n", - "Bvoco -0.21696\n", - "Mbvoc 0\n", - "Bvmpo -0.235488\n", - "Mbvmp 0\n", - "N 1.4032\n", - "C2 0.279317\n", - "C3 -7.24463\n", - "A0 0.928385\n", - "A1 0.068093\n", - "A2 -0.0157738\n", - "A3 0.0016606\n", - "A4 -6.93e-05\n", - "B0 1\n", - "B1 -0.002438\n", - "B2 0.0003103\n", - "B3 -1.246e-05\n", - "B4 2.11e-07\n", - "B5 -1.36e-09\n", - "DTC 3\n", - "FD 1\n", - "A -3.40641\n", - "B -0.0842075\n", - "C4 0.996446\n", - "C5 0.003554\n", - "IXO 4.97599\n", - "IXXO 3.18803\n", - "C6 1.15535\n", - "C7 -0.155353\n", - "Notes Source: Sandia National Laboratories Updated 9...\n", - "Name: Canadian_Solar_CS5P_220M___2009_, dtype: object" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sandia_module = sandia_modules.Canadian_Solar_CS5P_220M___2009_\n", - "sandia_module" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calculate the effective irradiance" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "effective_irradiance = pvlib.pvsystem.sapm_effective_irradiance(poa_irrad.poa_direct, poa_irrad.poa_diffuse, airmass, aoi, sandia_module)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Run the SAPM using the parameters we calculated above." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " i_sc i_mp v_oc v_mp p_mp i_x i_xx\n", - "Time \n", - "2015-01-01 00:30:00-09:00 0.0 0.0 0.0 0.0 0.0 0.0 0.0\n", - "2015-01-01 01:30:00-09:00 0.0 0.0 0.0 0.0 0.0 0.0 0.0\n", - "2015-01-01 02:30:00-09:00 0.0 0.0 0.0 0.0 0.0 0.0 0.0\n", - "2015-01-01 03:30:00-09:00 0.0 0.0 0.0 0.0 0.0 0.0 0.0\n", - "2015-01-01 04:30:00-09:00 0.0 0.0 0.0 0.0 0.0 0.0 0.0\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sapm_out = pvlib.pvsystem.sapm(effective_irradiance, pvtemps, sandia_module)\n", - "print(sapm_out.head())\n", - "\n", - "sapm_out[['p_mp']].plot()\n", - "plt.ylabel('DC Power (W)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## DC power using single diode" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "cec_modules = pvlib.pvsystem.retrieve_sam(name='CECMod')\n", - "cec_module = cec_modules.Canadian_Solar_Inc__CS5P_220M" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "d = {k: cec_module[k] for k in ['a_ref', 'I_L_ref', 'I_o_ref', 'R_sh_ref', 'R_s']}" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "photocurrent, saturation_current, resistance_series, resistance_shunt, nNsVth = (\n", - " pvlib.pvsystem.calcparams_desoto(poa_irrad.poa_global,\n", - " pvtemps,\n", - " cec_module['alpha_sc'],\n", - " EgRef=1.121,\n", - " dEgdT=-0.0002677, **d))" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "single_diode_out = pvlib.pvsystem.singlediode(photocurrent, saturation_current,\n", - " resistance_series, resistance_shunt, nNsVth)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "single_diode_out[['p_mp']].plot()\n", - "plt.ylabel('DC Power (W)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## AC power using SAPM" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Get the inverter database from the web" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "sapm_inverters = pvlib.pvsystem.retrieve_sam('sandiainverter')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Choose a particular inverter" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Vac 208\n", - "Pso 2.08961\n", - "Paco 250\n", - "Pdco 259.589\n", - "Vdco 40\n", - "C0 -4.1e-05\n", - "C1 -9.1e-05\n", - "C2 0.000494\n", - "C3 -0.013171\n", - "Pnt 0.075\n", - "Vdcmax 50\n", - "Idcmax 6.48972\n", - "Mppt_low 30\n", - "Mppt_high 50\n", - "CEC_Date NaN\n", - "CEC_Type Utility Interactive\n", - "Name: ABB__MICRO_0_25_I_OUTD_US_208__208V_, dtype: object" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sapm_inverter = sapm_inverters['ABB__MICRO_0_25_I_OUTD_US_208__208V_']\n", - "sapm_inverter" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "p_acs = pd.DataFrame()\n", - "p_acs['sapm'] = pvlib.inverter.sandia(sapm_out.v_mp, sapm_out.p_mp, sapm_inverter)\n", - "p_acs['sd'] = pvlib.inverter.sandia(single_diode_out.v_mp, single_diode_out.p_mp, sapm_inverter)\n", - "\n", - "p_acs.plot()\n", - "plt.ylabel('AC Power (W)');" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "diff = p_acs['sapm'] - p_acs['sd']\n", - "diff.plot()\n", - "plt.ylabel('SAPM - SD Power (W)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Plot just a few days." - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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sapmsd
count8760.0000008760.000000
mean23.21415924.359824
std42.86999043.498806
min-0.075000-0.075000
25%-0.075000-0.075000
50%-0.075000-0.075000
75%27.84940330.768026
max215.045605217.109196
\n", - "
" - ], - "text/plain": [ - " sapm sd\n", - "count 8760.000000 8760.000000\n", - "mean 23.214159 24.359824\n", - "std 42.869990 43.498806\n", - "min -0.075000 -0.075000\n", - "25% -0.075000 -0.075000\n", - "50% -0.075000 -0.075000\n", - "75% 27.849403 30.768026\n", - "max 215.045605 217.109196" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "p_acs.describe()" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "sapm 203356.030218\n", - "sd 213392.055064\n", - "dtype: float64" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "p_acs.sum()" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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LVtHga2YpSqH3Z+7+y/LlNjObW672zgU2la+vAxYOeXwBsKGS4xMREZno7mr/Mmt6/pfY+wGjwQo0BDmyrQX2O72V+lUFoBR6ey9swU+oBwPHMcDKcdcxsAawLHXNlxCmFXoryYFEfXxHXSW7OhhwCfCIu5835FPXAGeUf38G8Osh1081s4yZLQb2Am6v1PhEREQmup7CWlb3/K4ceqHBcjQGA9S1Fdj/zRtHhN7CiXXDfv46/MeqEdmWS6mfdYdCr4xblaz4HgG8BXjAzO4tX/sE8FXgSjN7B7AGOBnA3R8ysyuBhyn9bOV96uggIiLy/HUM3IcRUqrXOlOCfrJtRfY7bSN1K0vLGJIIVn9vJs0nZp5mzaFjGGHqZYTpg6s6/snNtLmtAirZ1eGv7HrdLsCrn+aZLwNfrtSYREREJpNs2IJRJEVCQEKmtch+bx4eeh//3iy2HV9P85D1vMMZWB3ZqZ+p3sBFKkR/lRAREZmA3J3IBwgYwAwybUX2P21k6O08voHUyL3kO4Tpw2mYcQ1h+oBqDV2kYqrSzkxERESqI05yPLnla/T1XkpvEgB1ZFuLHHH6k9StGhl6wZkZjFxZ6O5YuJjGGVdUdwIClDe3uTa3jTYFXxERkQnkoY4z6e67gQVRL1uTqeXQO9iyLIng0e/NYsvyBgynkSJYjO+0njSxelpmX1eLKYhUjIKviIjIBDFQ3EBn/01MDXoxYHpbH4tPbxsWeh//3jw6ljeSthwBULQMRTO2ep4UBSCkaBnmzbwGs0wtpzPpxVqROuoUfEVERCaI/sIajDQGhBtj9jmtndSq0jIGj2DLBc2kjofp3kcA5EizoOVcptUdybaeH5HPP0A6vT9TG99OFM6p6VxEKkHBV0REZAJwT0iIiJMc+TZj1ps7Sa0cDL2bL2hm4/IGch6Uj6ZwjJjE+4jC2Uyf+vHaTkCkChR8RURExrk13ddyT/uncc9R11Zk39M3Dqv0dl4wja4T6sgl20MvgOHAmi1foKX+n4nCaTUbv4zkmDa3VYAWj4iIiIxj7X33cM+mjxJ5D9Paujny9KeGreltvWAefSfOpH9Y6B1khHTl/lbtYYvUhCq+IiIi49STWy7hsa3fJBU4mdYCB5++joZy6C0tb5hG4YQEvJu4fILbiLOlLCRAm9hkclDwFRERGYdWb7uCx7Z+E4BMa5HD3rx6R+hNIth4QTPJkGOI6y0h5+Eu3smYUndkdQYtz0miH8yPOgVfERGRcaK3sJpVXX+gL07Y3HsR4OXQu2pY6H3oe3PJHZdiNvkdz6bNqfOYfsrh140gaGCvmT8gsGwNZiNSfQq+IiIiY1yc9PDopnfQk7sdxzCcNBHeaiMqvfd8dwHbltfROCT0bldvMQNJSIyReMAh8+8gDOqrPR15Ftwh1ua2UafgKyIiMsY9tfkj9ORuJzCntE4Xmjf1s+TNm2hYVQC2h96FtC1vool+sjbyGOKiUw69RhLup9Ark46Cr4iIyBhWiDvZ1v+XcugtSbUW2ee0NrKrisBgpbdteRMpioTmNFkRH3yEokOfB7gbOc/y8tnnV3sqIjWn4CsiIjKGFZNOzMIdITbVWmSfU9vIrhwZetMUqLcCAdCRpJlmecyg4MaAh+RpIsy+kUOmf5D61IzaTUqeFfXxHX0KviIiImNYJtodIwX07zL03vadReSXhzRbP8GOnOQEOI8UZjEz7KM+ms2S6Z+nPnsMZgpTMnmpT4aIiMgYFliKhc2fItwYjwi9f//OYtYcN50GyxNZguEEJOSTiIfz8+iIp7OiuIQ9Zl9NQ92rFXrHES9vQKzlx7NhZh8xs4fM7EEzu9zMsmbWYmZ/MrMnyr82D7n/bDNbYWaPmdnxFfsCPg0FXxERkTFu5rYj2O/NfSNC79rjWshagbyFRMTUWYFtcR1rizPIhHN4SfMp/Muiy2hKzanxDGQiMrP5wAeBg9x9fyAETgU+Dlzv7nsB15dfY2b7lj+/H3AC8F9mtqvm0hWjpQ4iIiJjWGHtY/iyo8g81QmUQu8t39mDDcdNIyKmJewBIEeEecyaYgvz0wWWLriQukiBVyouAurMrADUAxuAs4Gjy5+/FLgR+BhwEnCFu+eAlWa2AjgEuLWagxUREZExZFt+I3/bdAF9q27jhLfcSOOQPr13fGd3eo9PM8O6yViR0uoFIwEezs2mLmzg4DnnKvROAPHOx0tX3wwzu3PI64vd/eLtL9x9vZl9HVgD9APXuvu1Zjbb3TeW79loZrPKj8wH/j7k/daVr1WNgq+IiMgYsrrnTn659mx262jnxLc+MuRwCuOW7+zB+uOmkfYis8OuEc8WmMq/7HYFjanp1R62TEwd7n7Q032yvHb3JGAxsBW4ysz+9Rneb1dJ3ndxrWIUfEVERGosTvLc3vF9Htn2OwpJLws6ujlhWOgtreldf1xpj1DBIwoektpxSIUT4py48HsKvROEMy7amR0LrHT3dgAz+yVwONBmZnPL1d65wKby/euAhUOeX0BpaUTVaHObiIhIDRWSPFetfj/3b7maQtJLfVuO497y6LDQ+/B359J9fGbIU07RjVI8KhXMZmYPZVbdPlUfv0xqa4DDzKzeSi1DXg08AlwDnFG+5wzg1+XfXwOcamYZM1sM7AXcXs0Bq+IrIiJSIwNxP9994iwaeQwzqG/L8c9vvZ9pq/uBcuj93lw2L28k48UhTxqNlifAsXK1t6np/9VmEjJpufttZnY1cDdQBO4BLgYagSvN7B2UwvHJ5fsfMrMrgYfL97/P3UeerV1BCr4iIiJVlE/6uaPjKh7p+jOd+RwZNmGhU9+WHxZ648i4+dsvwpbv/A5Ok/WTtsG80BY3k8m1MrO+evOQSrNn3Uu3ltz9s8Bnd7qco1T93dX9Xwa+XOlxPR0FXxERkSqJvcjlq86kM7+WiF7mpvpIHMLWhNe+9cFhofe6b+1D13FZZtGDO/R7BDj5JGAL9SQEGE5XksWtkT0DpV6Rf0TBV0REpEqe7L6VrfkNJJ6jOerFgOZNPSw940mmrM4Bg6F3zbHTWRS24w5JuV3Z9LCbYhDSHjfRmTTseN8Q2K1xWU3mJJWT1L6d2YSj4CsiIlIF+biXx7quJ/ZeslZar5ttzbP0rU8yZVUp9Cbl0Nt23BR2j9oJLKHPU8QY6XJX18hislagQCMBKRznqLnnkAmn1HB2IuODgq+IiEiFPbDlV9zSfhG4k7Ei4KQ3Fjj2jEeHhd7rv7U3W4/LsijVAUC/p/By6A2s1MHBMFrSs1nScjZmIXPqXkEUZGs3OZFxRMFXRESkgjb2PcCt7RcReyngmkF9a57lZzzK1NUDQDn0fnsfVh87HXcIi87MqJvAnDSDm9gCnBgjJmJh49KazEeqwx3isd/Hd9wZ+9sFRURExrH7t/6SYjn0AjS05Xj9GfcOaVk2GHq360waGfCIoQdduRsxhhMwp/41VRu/yESiiq+IiEiFuDvreu/e8bqhLcdJb33m0Ltd0UNSJKX3AfIeEhGRs/ns0/zmqoxfZKJR8BUREamQ1oGHyCc9wMjQu717w9ohodd9+1lsRl+SIR3EJBgFj8iEc5jX9E/s0/xmMuHUWkxHqmw89PEdbxR8RURERlF/vI3EExqiZlr7HsBJdhl6r/3Wvqw5toXAfcR7ZKxAYgEDHhBaHfMaDuXwOecSWFjt6YhMKAq+IiIio6Cr0Mbv13+B9oEnMTOmpOay95SlNLQVdhl6Vx47E4Cil44dNpyUJcwMu2kKBshRT31qb/ad8VFmZl+OmTY6TSaOkWhz26hT8BUREXmBNg+s5icr302xvCY38oQt+TU8+vBPOemtd48IvU+9emZpTQOwPfZOj0qBd2pQIAxa2GvKGSyc+i7M9ONukdGi4CsiIvICFOJ+frTyvRTcKJ2hBgVCprf18Lq33bVT6H0xq8otywzHy10bmoJ+InOKnmK/Wd+hpf6YWk1HZEJT8BUREXkBbtx0CQVPGNp6rLFtgDe+/W6ad3RvgHvPn096eYHdvJ0eryPnKRzIWJGwfDhFKghprjuqJvOQsUdHFo8+BV8REZEX4Inu29k59J7+9ttoWd0HlELvPd9dSNvyJrIUmB704XFQPolteLDZVFyEaQObSMUo+IqIiDxHvcUtPLLtRvqK2+iLu3dc3zn0xpFx9/kLaF8+BYB+T9PraUqLImLi8tIIw+mL07QX+6o+FxmbHLS5rQIUfEVERJ6DVT1388u1X8BJiL1AUi7cNrblRoTe27+9kN7js2Qo4Bh5AoqeIgBS5qQo4l76kXZHcQpTUjNrOjeRiU7BV0RE5FmKvciv150z7AhiM2hoG+D0t98+LPRee94+bDmuninJAHVBgcCcDDHrCtNIAdOiXkKcviRNW3EaWAOvmnlGjWYmMjko+IqIiDyDjlwHfXEf87LzWNN7H7lk+HKEprYBTt0p9P7yGwey8dipNHmO3sRJBTGhJwQGc6JuHs/PY3N+CnVBC73xFpqimSyd9Tb2m6ZuDjJIJ7eNPgVfERGRXdhW2Mb5T5zPmr41hBZiGAvrIgJP2H6WROMuQ+/LefzVc2jwARyj17M0eg4MzBOyQQGAlGU5bu572KvpSB1OIVIlCr4iIiK7cN7j57Gubx0JCQUvhdUnep2FmRQNUWGXofe3572Ex4+ZUzqFLYiB0sa1nEdEFpfW+frgt97GaLpCr+ya6+S2SlANXUREZCfr+tbROtBKUj6JbTsHOgqNNLSODL2/O+8lPPrquYATkpC1wo7ngvIxbQmwodCMEdCYms7cuhdXaUYiAqr4ioiIDNNb7OLX639MIcmxc59dMBrbcpzy3juGhd7//vqBrDu2mSSBBsvRGA4wtJBbCsFGW2E6vT6VOdk9ed2CT6vaK1JlCr4iIiJlscdcsOKTdOQ24dSN+Py0TT2c+d5rmbGmt3R/ZPzi6wfRsbyROeFWLIJ+z5TjculA4pawGwwWNv0rBzX9K+mgnqbUjGpOS8YhRye3VYKCr4iISNlj3ffQVdwCFtMQ5umN02yv+k7b1MPH3vNHZq3tAQYrvZuPbyQyp8sbmBlsI21FigSEOPWWwwIwsrx4+sd0KptIjSn4ioiIlG0aWEsxyQPQGOWJLKEvTjFlUz8ffe+1zF5bOqUtjowr/vNgth5fT2jl9btubI3rmRF1k7FiKS5bgFmW3aecptArz5k2t40+BV8REZn03J27t97OTe03k5Q3ogFkwyKzOrp553tuYuaawUrv5f95MGuPa2YKgwdZOEZbcRqBRcxN92JEOEUWNJ7EkuYPVX1OIjKSgq+IiEx6v9v4K65t+z35pJ8pUWltrhlMaevnnf93eOj9768fyIbjmklZQoIR4oATWULixgEzzuaAaUfTX9xAJppNKmis6dxEZJCCr4iITFqbBtZxQ9uV3Lv1FlIEJIT0F9NkwiLNbb28853DQ+9vzjuANcfO2NGezAEjISKhJewmE76Yl7ecCEBjes9aTUsmAEdLHSpBwVdERCadfFLgmvXX8IeNvyewIlOigExQJBMU6Y0zZFsLvPPdN48IvSuOnbXjPQxnatBHQ5AnbUXMYK+sqrsiY5mCr4iITCr5OM+nHvwaa/vWkZACIrqLWWaku5maGmBWxzbe+e6/MmtNeSNbaPz43MPZcmzDkHdx0hbTHPbt6NfrDlGQqfp8ZOJSxXf06eQ2ERGZVG7Y9Dc2Dmwaciab4Rgd+SYaW/t59ztvGhZ6f3jukTx+zGygFG7doYF+FqY2DzukwjEselFV5yIiz42Cr4iITCp/33w3+XLLsqFa2nt4xzv/Ong4RTn03r9sAfVhjmJSSrmGU6TUmix2I3YjcWiPZzAj+7LqTUREnjMtdRARkUmlIaofca25vZdPv/+3g4dThMYl5x7JQ8vm0RDmyHsKTwIao1L7stCcx3NzqQ9yGE5/Uk9jah6LGxR8ZXQ4pqUOFaCKr4iITHhtAx3ct/VROnNbWT77KMIh3/6a23v5zPt/w9y1XUAp9P7g3Fdx77KFNIT5HQdUZINC+QmjSMjs9BR6k0Z6kiYWNhzEvy7+Gmb6tioylqniKyIiE1YuzvOfj13CA9seI7KQQlJkr6b5RJYj9qgcen/LvLXbgMHQe0MFbtAAACAASURBVN+yhRgJlNuW1QV5omD7qmAnImZJ08s4beZHMAJS2tQmMi4o+IqIyIT1w5VXc//WRyl4kTyliu0jXauoC42FnZ2c9f5rmTOk0nvxua/igXLonRl1kQ0LhObYkF1sBjSFxozs/qSDulpMSyaJBC11GG0KviIiMiFt7N/In9puwYccQQyltZP1rTk++qE/MnvtYPeGi766lIeXzaMp6GdWqotMWCRxACNf/nYZkTA1zFEftbC4aXmVZyQiL5SCr4iITDg9xR7OeeRL5dA7vGrW0t7D5z/wG2avGxp6j+LeoxfyyoYnSCwgJKHoIQOkSNypZ4DmVB2BBSxsPIEDp7+HKMjWYGYyabj6+FaCgq+IiEw4t3T8laIXCC0g9nDH9Zb2Hr74gV8zb93gmt6LvrqUe49eSEvUTWs8DSuH5ZQVmR72sDI3i76knnft/ROiQN82RcYzbT8VEZEJZ03favKepyHKU9qg5rsMvd8/91U8uGwBDcEATakBSl16Axwj7xGb40YyQZFFDUsUekUmAP1fLCIiE07spQ4MqSBhWqqfbGueT3/wd8NC72VfO4zHl81hqvUxNdWHj2hFVgq/+STLyQveXeUZyGTnaKlDJSj4iojIhFBMijzes5J7t9zDbZvv2HGc8PSOHs76wPDuDT889wjWL2+hyQdIWwG3pw8YuzcczqzsvGpMQUQqTMFXRETGtd5iPzduuo1frP0fAoP+eABIkQnzzGzv4az3DA+9Pzj3SNYcN52oXBXujrNMsX7MRm6ESzzgJdMOr/KMREpU8R19Cr4iIjIuuTs/XnkN/7P+zxQ9BiC0hGwIZkZ9a4GPDunTWwyNH517OGuOayG0hIEkBAIcGIhTZMIiAIGBe+lHzQWfw4HNB9dmgiIy6hR8RURkXPrdhpv473XXl7v0lipjsQfkYmfulm4+8/7fDgu9F5xzFE8sm02+kAKcrBXIhDFgDHiazlwjjeEA2aBI0QP6kwZO3e0dhKZvlSIThf5vFhGRceeOzXdx4ZNX4yNOtjKmburnMx/5zY5jiIuh8V/nHM0jx8wjRamq626ljg8GBY9IPCAhoCuup6tUPCZlKfaf+rIqzkpkkGNa6lABamcmIiLjyh2b7+TTD162y1Awvb2Hcz78q2Gh94JzjubhZfOJLAGMxEuV4XQQl3v2wvT0QjJBBoCAkJSlOWXh26gL66s2LxGpPFV8RURkXLn4yStLodecwBns3lAOvfPXDYbeS756JI8fM5cUpTLutmIGMJrCXOkeD0lZhrP2OYfHux/h/m13URfWc9j0pcxRJwepMVfFd9Qp+IqIyLiQjwv8fuNtPNVbwD0gMEgHCe4wo2N76N0KlELvxeeUDqcwh4KH5JIUUNrO1hz1UfCAvjhFNsiSCtLsN/UA9pt6QC2nKCIVpuArIiJjXiEp8qG7v8fK3lYSL63SK21kM+Z0buMrHxkeer93zjIeXDaPiIS0FSkkaVIWkw0KTI36yXtAX5wFjP6kn8QTghEHWIjIRKPgKyIiY95fNt3Pqt42cklhyFWjpb2Hc8/6FQt2Cr13H7U7kReZle7GMRqjHIkHFD2gs1hPiGPlNRJTUtMUemVMSkZs3pQXSsFXRETGvL9vfpiBJD/s2oz2bs478yoWrB8Mved96TgeOmo+4CQesGaghXSQUPCA2EPACUloiEoBOh2k+ee5b6rybESkVhR8RURkzGtONxESEFM6bW176F24I/QGnPel47hr6e5kKWA4gSW4GwNJVK6bOQFOfVgKvdNSLbx23skcOn1pbSYl8gzcdXJbJSj4iojImPfaeYfxm/W3EifJ04TeY7lj6SKyYR4jIbKE+jBPb5xmatRHnIREQel6Kkhx9ou/w9RUS41nJSLVpkVNIiIyprg7rf2dbM517bhWF0YcMWNPZnX08M2zrh4Reu87eiHTUr00RHmaojxTUzlSgRPihAbZMKEhSpEKUrxxwbsUekUmKVV8RURkzHho2yq+/NDP6Mx3k+DMq2thTl2KFT0raGnv5ptn/oZ5Q/r0fvcry3jgqIUEOOkgoS4qDnu/dFjq32sWcMys/8Nh04+hMZpS9XmJPB/q4zv6FHxFRGRM2Jzr4qx7Lhq2iW11bxtre53FXT187oNDQ2/AN7/0au4/arfynUZPMTMs+LpTPq0NUpZhUcMShV6RSU7BV0RExoSfrLqe/ji/4yS2klLLss+fdc2w0Hvel44rrellMOgmGD7kJDcAMweMoheYm90NkfHDtLmtAhR8RUSkpjpz3Vzy5G/4fetdO4Xewe4N89cPht5vfOk47ly6GPBh9xoQWYqYAu6Dn01bhqUzT6Qhaqz4XERkbFPwFRGRmtmc6+L/3v4FLOijPgrpK6ag3HxsV90bvvGl47h96WICHBsWfJ3AYrYVM7xqxqsoJL2s7ltBfdTEMTP/mZc3H1H9yYnImKPgKyIiVefuPLhtJd987EpySY50YGTCmIE4InGY0d6zi9C7nNuXLtoReEOS8tIGJ7SE0BK6iynu3bqO/zzgi7Wcnsio0Oa20afgKyIiVeXunPvI5dzcfn95I1tELg91YYEp6RwNGwf46pm/GnIi2/ZKbyn0BjiRFcmECYGVQrBZ6aQ2gNaBTQzEA2TDbK2mKCJjlIKviIhU1Z2djw0JvbB9aUN/nGJ252a++O/XMG/9YMuy87+yjPuWLiST5AkDJxXEBDu60A9WxPJJCEBoAZHp25uIjKQ/GUREpKr+vOmeYS3LtpvR3sMXzhzeveH8Ly/jnqN2JyQhnYoHN7+VmjUAjjsUPMAJSFmKw2ccQhTo25uMb46OLK4EndwmIiJVFVmIMfwb+oz2Hr5x5tXMHxJ6v/aF5dx51CKKHhC7DQu927e1zc3sTux1ZIImUpZiv6kv5ozdT6veZERkXNFfiUVEpKqWzzmY69ruIpcUgO2h9yoWrBtc0/u1LxzPbUsXE8YJZjA16i+dSDFEipgDpu3NmXufyYaBVmZmpjMzM6Pq8xGpCB/xn7yMAlV8RUSkKrz8XXz/aYt548KjSAcRczsGdhF6l5dCrzmBOXVBDseI3SgkpUMq6sMiUeDcteUWpqWnsu+UvRV6ReQfUsVXREQqxt35+eqb+cnKG9lW6GN+XTNv2v1Qls7cn5b2zRz50bOYMST0/ucXl3PH0sWEOGZOyooUPcATSh0dzKkLczveP6VNbCLyHOhPDBERqZgfPnU9P135FwaSApmwQF+ynh+v/CW/vaOHcz78q2Gh9+tfPI47j1o87EeRjmFmJOVX7gkxRlTe3faqmcdWf1IiVZKgzW2jTUsdRESkIgpJkZ+vuomBpEAqiKkLy2t6O0qhd/7Old6jth9DXPqILMaGnWFsJATEiQEBezbuw7JZJ1Z5ViIynqniKyIiFbE130fspRCbCQsUCZi+qYev/PtOofcLy7l96R6ExDgGOBEJwS6LXcbyOf/EK1pewaL6F+0UjEUmDkcnt1WCgq+IiIy6NT2dPNG1CU8CslEBDKa39/L1f//vYRvZzvn8Cdy5dBEBpTW8jVGOXBLivusfSNaHWd648NQqzkREJhIFXxERGTX5uMiHbruav216ilQQUnRj5hQvh96rh4XeL33uRO541WJSJLhDYI4ZZIKYXGz40N69QGgh79rjjBrNTEQmAgVfEREZNd946Ab+tukpckmRXFKkLlVkensPXz9zeOj94udew61H7kGKGIDEoa+YIhsWcIxcEhJ7QDYsYkA2zPLOPU7n0OmvqOHsRKrJdHJbBSj4iojIqLlq1d3kkuKO182bevjG50aG3luO2JNiYoBhFHECwInd2Faop+ghAPkkIrKQU3c7iSNmHFqDGYnIRKLgKyIiL8jWfB/ffvQPXN/6EL3F0lrdpuwAu3Vv5lufvYoF64eH3r8d8SIACklIyorlDW0lvYVmil4c8u5GaBFHzXx5NackMibo5LbRp3ZmIiLyvBWSmLffeiG/33Av/Uk/LQ29TG/qZd62rXzrzKtZOCT0fuGzpdAbu5GLI8BIh9tDrpMJUnzxpe+lKaqnPsxQH2ZpCLN8et930JyeUrM5isjEoYqviIg8bzdvepSOXDeJF0lHMWDM6Ojh/I/+goXrtwCl0PvZz7yWv7xyCeUlvQA0RjmioNTuLE5gSdOe7D91Ty5/5Zd4pGsViTsvnrKIVKBvVSIyOvSniYiIPG8rutvoi/NkwlKindHRzfkfvYLdhoTez33mtdxy5IuIPN7RpSEbFMimkh3vEwawOddT+r2F7D91z+pORGQMUh/f0afgKyIiz8lNbY/ywydvZEuun4X108kGKbBCudI7PPR+6lOv49bD9yDASQUxYZCQDRN2de7E7OzUKs9ERCYbBV8REXlW3J233XIh929dh2MEOOv72ykmxm7bujn/Y7/YKfSexM1HvIiI0jredBCD2S5DL8Dxc9S1QWQ7d1V8K0Gb20RE5Fn5yoPXcN/W9eUuDEaCUfSAOZ1dnP8fuw694DvW8SYEhEFM6TDW4aakGjhi5gHVnI6ITEKq+IqIyD+Uj4tcveZOYGgFypjVsY2LPvFzdt8wfHnDzUe8CCOhIczjgZEkIeCkiUnIlN/FSQURgQV8at/3EphqMSJSWQq+IiLyD/1gxU04ztDgO6uji+9/4mfsvqETKIXeT37qJO541e40BDlCcxKMQhJgQH1YoKeY4VP7vpNZdU08tO0JpqYaeeX0A6mLsrWZmMgYppPbRl/Fgq+Z/RB4LbDJ3fcvX/sc8E6gvXzbJ9z99+XPnQ28g1Kzmw+6+x8rNTYREXlufrHyTobm3lLo/emI0HvT4XsxM9VNf5wil4Q4RmhOU6qfXBJx5MxDOGLm/pgZS5oW1Ww+IjI5VbLi+2Pgu8BlO13/prt/fegFM9sXOBXYD5gHXGdmS9w9RkREaubxrjZu2PgwnflegsAwnFkd3cNCbyEM+OQnT+Lmw/ciwMlGCXWpHHG5WhVZPfMzL+WMxcfz0uY9ajkdEZnkKhZ83f0mM1v0LG8/CbjC3XPASjNbARwC3Fqh4YmIyD/wzYev5WdP3UbRS/12k8SYs6VrROg9++zX89fD98JwUmGBLbkMTekCqaD03Ly6Jr7xsvfUbB4i45WOLB59tdhJ8H4zu9/MfmhmzeVr84G1Q+5ZV742gpm9y8zuNLM729vbd3WLiIi8QA9tXc/PV95OLikSe4KRMGvzyND7Hx97A385fAmJQyYoEAaQENBdSJOUv2mHFtZwJiIig6odfC8A9gReBmwEvlG+vqvV27v8e467X+zuB7n7QTNnzqzMKEVEJrk/rn+QXFwsv3Lmb93KDz/1ExbtFHr/euQSANJhTBjC0D/O80lIOkizbNbh1R28yAThbjX9mIiqGnzdvc3dY3dPgO9TWs4ApQrvwiG3LgA2VHNsIiJS8vMn7+TyJ+8lXzSKxYDZm7dx4dnDuzecffYb+OuRewFOYE463MWWDA/Zd8peLJ99dFXHLyLydKrazszM5rr7xvLLNwAPln9/DfBzMzuP0ua2vYDbqzk2EZHJrr2/hzdc9wPa813l09WMmZu7+MFnf8ruGwf79H787NLyBrYfZTGsMFS6FlnIO/Z4A/88byn2dEe1iYhUWSXbmV0OHA3MMLN1wGeBo83sZZSWMawC3g3g7g+Z2ZXAw0AReJ86OoiIVM/DW9p4w7WXQFTcEWRnbe7iss/+mEUbByu9g6G3ZDDTDq5Oy4Zp9p2yu0KvyAvgTNzlBrVUya4Op+3i8iXPcP+XgS9XajwiIrJr7s6/3fgLiAo7Kr2DoXczMNi94S+Hl5Y3lO4CM8fKVV6A0OCYWQfywSUnK/SKyJijk9tERCaxxBO+8/AN9IUdpEOnUIx2GXo/ctbJ3Hb44h0Bd2imzURFHMNIMIOVveuJAnVyEHmh1M1s9Cn4iohMYu+//af8bdMKMDCMOVu28uPPXrZjeUMhDPjwmSfztyP3JIXj5equU/pHXZQvh2AnKm+X7sx31WYyIiL/QC36+IqIyBjw+Xt/zZ83PEWuEFIoBszs6OLHnxkZev96xItoTOVgyJIGd8im8lgAhhMFpdpUgPHSaS+qzYRERP4BVXxFRCahX66+l58/dS/llbrM7OjiB5/9ybDQ+x8ffwO3vHJP0kFCPknRku2jkIQYTn8xAozIYoJyCSUkIBumecuiE2s1LZGJw9HmtgpQ8BURmWSKScKX7/sj2w+bKK3pvZTFQ0LvWR/7F24+fC/C8ipDp3R7XaqIO/QW0wwUQ/AUuzXWkwlDXjJ1D07d/TjmZKfXZmIiIv+Agq+IyCTQU8hx5cp7uGXTSurCiIFiARhsWbZ4yEa2sz72L9x42BJS5c1q2xmlJQ4JkHipzDsQG/2Fen76yjOrPCORSUC720adgq+IyATXmevjDdd9ny35PgaGHEM8u7OLyz43PPR++MyT+cshS8gEg/183UtdHILAwaEnn2bo0cT1Uaa6ExIReZ4UfEVEJriLH/0bHQO9FIacCzR7czeXfX546P3QmSfzl1eWDqcwKwXe0guIgpjYoa+QJh+ndrxPNkxxyu6HV20uIiIvhIKviMgEd92Gx3YKvV1c9vkfjQi9Nxy6N5E5YZhgVj6kwpzAHDNYkNmDLVZgs/cSmFFIYl4z70D+ad6BNZmXyESnzW2jT8FXRGSCy4aDFdqnC71/PmxvMqlS4A0tIQoTGOzYi2H8x75vZEnTfB7YupaOXBf7Tl3AnLppNZiRiMjzo+ArIjLBLWiYyuNdbeXlDT/aaU3vm7jh0H1IRcXy8cOQCrdXhwcPqzhh3svYe8oCAF7avFstpiEy6bg2t406BV8RkQnkzva1fOuBm1jR1cH8hqm8brf9+Hv7U+VK78g1vTccug9hkJSqvJYQBqVODkOPJn71rJfy6f1Pq92kRERGiYKviMgE8dfWlbz75qt2dG5oH+jl3s0bmN25jcu+tHPoHaz0pqLtvXqt1KYsgX2mzmNhfQun7b6U/aYtrNmcRERGk4KviMgE8cW7rx3Srqxkduc2fvbFS1jcOrxl2Q2H7kMUJjtCb+ng4ZLEnSNmvJh37XVs9QYvIsM42txWCUGtByAiIi9cMY5Z0bV52LWnC73XH7oPYRiTTsVD7nYCBkPwpU/dxLZ8X3UGLyJSJQq+IiLjXF8xz0l/vHTYRphdhd4PfPgUbjx8H8IQwIbcP3IHTToIeaxrQ6WHLiJPxwG32n5MQFrqICIyTnUM9HLJo7dx1ZP30ZkrVWcdY86WXYTeD53KdYfsQ4bBKm/iEJpj5e4NQ48nLiYJ0zNN1ZyOiEjFKfiKiIxDK7s6ed3/XkJvsTDs+uzOrfzsSz8cEXr/dPC+hOHw9b+ROYEl5VeDqTe0gMWNs9izaXZF5yAiUm0KviIi49Dn7rx2p9BrzO7cxs+/PDz0vv9Dp3D9oXsThgXCHYvbSlVebOQSBwNeMm0h5x54eqWnICL/gPr4jj4FXxGRceiWtlXDXpdC7/DlDe/7wGn8+ZVLSr15YdgxxJmoCFZaRmjlam/aIv5tz6N5x17HVHEmIiLVo+ArIjLO/OqpBykmyY41uU8beg9fQhAkhMHQ9btOZkg3hxAjAerCNHtPmcdb9lha1bmIiFSTgq+IyDjy2JZ2zrzlN6UX5szu7BoRet//oVO47uC9SYcxwbDePaX0GyeQCVL83z2XkYkCOnLdHDx9Tw6fuYTQ1OxHZMzQUodRp+ArIjJO3Nq6mrff8IvSuj+DWZu7+PlXRrYs+9Mr9iWdLu4UegfNzjTzx2PPqt7ARUTGCAVfEZExzN25r6OVFVs7+Pp9N5JLYjCY3dnF5eeMrPRef8iLyaSKw1qT7axjoIet+T6mpeurNAsRee5MJ7dVgIKviMgY1VPI8ZY/XsmjWzqIk5h8EoMFzN62hcu/+oNhofffP3oyNx2yhLTFO71LuTxMaYd4YA5mBM+UjEVEniUzmwb8ANif0h84/wY8BvwCWASsAt7k7lvK958NvAOIgQ+6+x+rOV4t5hIRGaO+cNsNPLS5jf5igXySsL1l2eXnDA+97//AqVx/6D6lKu+wNYGDL9zBcKIQXtq8gCmpumpORUQmrm8D/+vu+wAHAI8AHweud/e9gOvLrzGzfYFTgf2AE4D/MrOwmoNV8BURGYPcnV8/+XA58JbM3rKNy7/2ffZoG9K94f2nccMr9x58bsc/vdS2LFUEhzgOaEpFzMo28ZUD31jVuYjI8+Q1/vgHzGwKsBS4BMDd8+6+FTgJuLR826XA68u/Pwm4wt1z7r4SWAEc8hy/Ki+IljqIiIxRhRGh92L2aOsofW576D1sH1Kp0ols25vdh0Ep9AaBYwZ1QYbTl7yCl8/YjSNn7kUUVLXAIiLj1wwzu3PI64vd/eIhr/cA2oEfmdkBwF3Ah4DZ7r4RwN03mtms8v3zgb8PeX5d+VrVKPiKiIxBZsZhcxdyy8Y1Txt6bzx8L9Lp4aF3qADnbXscxQf3WV7NoYvIaHDGwua2Dnc/6Bk+HwEvBz7g7reZ2bcpL2t4Grua0HNq2mZmCygtl3gVMA/oBx4Efgf8wd2TZ3hcwVdEZKy4v2Mjv3j8ftZ0b2Hh1Gm8fd9XsPKRB/jZiND7Zv508IvJRPkRgTcMEsycaeksn3zJ6zh+3ktqMBMRmSTWAevc/bby66spBd82M5tbrvbOBTYNuX/hkOcXABue7b/MzH5EqUL8W+Dc8vtmgSWU1gx/0sw+7u43Pd17KPiKiIwB37rnb3znvluIkwQzwzes5vpb/8IVX/s+i3da03vdwS+mviFHEDhJYiTlqpCZs2fTLH559HsItZxBRCrM3VvNbK2Z7e3ujwGvBh4uf5wBfLX866/Lj1wD/NzMzqNUrd0LuP05/Cu/4e4P7uL6g8AvzSwN7PZMb6DgKyJSY09t28y37v0bUFriADBnSxeXf+0Hw0LvBz5yCjccvPf/Z+++49uq7/2Pvz5Hkh0nJJBAEhKygDCyCCOMsANlr7LKTi6jdACl0F6gpfN2XPqjtBQoUPYoo+zVQgmEETaFCy1lhlEgYWQ6O7F1Pr8/zpF8JMuOnNjyej/vQw9bR9Lx+XIb+a2vP9/Pl1RQHzUpM0ilnMCd0APA+GDxXOo8JIWCr0in1zl2bjsDuCUOnR8AJxI1T7jDzE4GPgaOBHD3f5vZHUTBuB44zd2LezA2qYnQm3x8JdGCuSYp+IqItKNZS2rZ7/4bonZjcfVbqZreM846imk7jIpb8Rj12RSBZTFzwsQvx1K1viIibcXdXwNK1QHv2cTzfwX8anV+VtxF4odE5Q4Pu/uticcud/dvr+ocamcmItJO3pr3JbvdfRXL6+vzx0qF3tO/czSPbzeq0evrswGhQxg2bFCxdqYnPVKZygxARNqYtfOtw7k+/no3cLSZ3W1m1fGxHco5gYKviEg7WJnNctTDt7HSs2BR08yS3RtOO5apE0aX+B0U1fbWZ1M4Fm9QAQcP2arCIxERqZiN3f08d7/P3Q8GXgWmmdm65Z5ApQ4iIhVWH4Yc9vDNLKxfHi1kC5yBs2u57bdXF4Teb3/zOKZuuzmBhTTeYTixK1toZN3ola7h65vtWLmBiIhUVrWZBbmWZe7+KzP7FHgaWKucE2jGV0Skwh75+B3eXTAnP4u7/vyF3F4q9O4Qb0NsxbW7yaJeIwwDtuw7jHv2PJl+1T0rNQwRaWsdfOe2dvAgsEfygLvfCHwPWFnOCTTjKyJSIe7OG3O+4MJXp7MyjBYyD5xXy20XFIXeb8flDe5RGUS88C0Kv56venCP7vVKV/PjrfdhRO9+7TIuEZFKcPdzmjj+CFFrtFVS8BURqYDaFcs54eE7eW/+HJYF0cTEwPmNQ+9ppx3L1G3GFNT0RmUOHpVFuJGtT0X34y2Jq4IUo9YZWPExiUgb65izru3KzK5w92+Z2R/d/bSWvl6lDiIiFXDu03/nrblfsjRbh4dNhN5vH8uj24yJXxH9rdECJwi85PrqtAXUpDL8fodDSZnezkWkazOzYcAzZvYA8Fx8v0U04ysi0oZCd27416s8MuM9nKj1wsDaWm67sETo3ToZeiFIR6E3SEX33SG3C31gASdvuj2TN92WgTW9Kz0sEZH2MIloZ7ZxRDu+pYCbWnICBV8RkTZ07pN/58H33gbAMAbMr+X2i69moy+Tofc4Ht0617IsqusN0k4qHUazvbn6XgcPo1neKZtO4L/HT2q3cYlIG3PAO2Qv3Xbj7jea2TXA9sAv3f2XLT2Hgq+ISBv5ZGEtD7z3Fiuy8UK2BbXcdvGfikLvsVHohTj4Gphj+Vt0eMu+Q8lQxVqZao4ZuTW7DtqoXcYkItLOfuzuX5rZT1fnxQq+IiJtYMa8ufzptZfza1Oi0HtlQ+gNAr79reOYuk0y9EaCVEM3h2E9+3HBtoew9bpDKzsAEWl32oK8pJ8A3wJ+BLR4cZuCr4hIK3J3zn78bzzw3ttk499aA2tLhN5Tj+fRrUZjVvybLYxreo36euPj+UvZeK31KjsIEZEOqGhx21/MbJi7f9ySc2gZsIhIKzpn2iPc++5bZMM49Jaa6T3leB6dMBoCL7qFBJmGIGwGmVSKF7/8pF3GIiLSwUwCNiJa3LYhsHtLT9DkjK+ZHdbcC939npb+MBGRrqoum2X/O27kvXnzorIFi0PvH0qE3m2jhWyW9nyPXiCq7Q0a/22zJp2p2DhEpANRqUOBtl7cdlBzPxtQ8BURARYsX8Yuf76aRctX5mt1S4bebxzHo9tEM72WyYXeHCedmO11hzA0MukUOwxscatKEZGu6idtsrjN3U9c/WsSEeke6rJZDrjzzyxatorQe8rxTN1mNBb35LXiLkVWuJAlzBq9Uj24YdJRZIJUBUYiItLxufssM1sHONLMRpDIsu7+nVW9fpWL28xsIPBrYLC772dmo4GJ7n7tal+1iEgXcedbbzBrUS2GtBEg6wAAIABJREFU4e7RQrZLCkPvaaecwKPjx0AQYnFTXg8pKGswizancDf6VdVw8pgdOGXU9gq9It2Z+vg25W/AC8C/gLAlLyynq8MNwPXA+fH9d4G/AAq+ItKt/evLz/nR9MeiHdmA9Rcs5NZLr2Sj2YnQe/IJ/H38GEh5QcuyfO2e5WZ/o8LgEWv1ZdpB36rgKEREOp0e7n726rywnK4O67n7HcSJ2t3rgezq/DARka7ixVmfcOg9txC6gxkDaxdw66VXFIbek+LQm3FIx0k3F3gDx4Io9Jo1lD7sscHIyg9GRDok8/a9dWA3m9nXzWyQmfXL3cp5YTkzvkvMbF3it2sz2wGoXYOLFRHp1OqyWb7xyP3Uuzd0b7j0T41D75ZjoMoTUwy53yQhuQqGZK1vz3SGb47esVLDEBHprFYCFxJVI+TeWJ2o1Vmzygm+ZwMPABub2bNAf+CI1btOEZHO7f++mMXX7rmduvowCr0LGy9kO+3k46PQG7c1g+hrPuNainClY+kwP+u7Xf9h/M+EfVmvR692GJWISKdyNjDS3ee09IWrDL7u/qqZ7QZsRvS+/Y6717X8GkVEOrfHPpzBKQ/dB4BhDJi/gNuKa3pPOYFHx43FLIRq4rTr0c2cZBL2+hSpIODpw7/J+j17V35AItJxxW8bUtK/gaWr88LV2cBiUzPTBhYi0q38fPo0rn/9VSAKvVF5w5VsWBx6txgLIXjaC2d5IS558HjFhFGTznDyqAkKvSIiLZMFXjOzJ4AVuYNr2s4st4HFAGBHYFp8fxLwJNrAQkS6ic8XL+L6f74aTdrmQ+8VhaH3pETozYRRyHUaVojEu7TlJnH6VdVw0S4HsMeQjdtpVCLSsZnamTXtvvjWYqvcwMLMHgJGu/tn8f1BwB9X54eJiHRGd7/z7/z3AxYsaDzTe1Lcp9ccqmgIvQHRlG/QsEubGWDO/QdOZljvdSo7EBGRTszMrgIeBu5x90Wrc45y2pmNyIXe2BfApqvzw0REOptsGLK8PlrWULK84aTJ0UyvWYl31Kiu14LCQ7sO3lChV0Sk5a4DxgN/M7PHzexcMxvfkhOU09XhSTP7O3Ab0RzG0cATLb5UEZFOJHTn4pee5ZrXX6Eum2Xg/NrGC9lOOoFHt4i7N6SAePc2AFIhli7amtigOpXmzPE7V3g0ItIpaXFbAXd/gWjHtp/FrXb3Br5nZuOA/wMeifeeaFI5XR1ON7NDgV3jQ1e5+71rdukiIh3XK7NmMfneO1m6sh6IZ3qvKFHesMXY6AXxjK7jWMqhJku8M3HB762MBXxr9ES26T+kgqMREel63H0u0aTsbQBmtg2w76peV86ML8BzQD3Re/hLq3mNIiId3sLlyznunjtYURdtULn+goXcekWJhWzjE6HXwD2u463OFs7y1kMmleLQjcfw3fG7MLhXn4qOR0Q6Mc34FjCzuUQzvs8BzwIvuftSAHd/BXhlVedYZfA1s68R7Y7xJNEf9C41s/9297tW/9JFRDqmq199meVej2Fx6L28MPSeOJlHtx4TPdkAj2Z6AagOwa0hBAPrZHrx/FHfoiadqfxgRES6lg2BHYi6jf0Q2MbMPiAOwqsqc4DyZnzPB7Z19y8BzKw/8Big4CsiXUZ9GDLt/fe58tWXIYzKG4pnek+fMpmpW4wp2ogilmthBnEYBssauwzfUKFXRKQVuPtC4NH4hpn1Ak4EvgucDrRK8A1yoTc2l/K6QYiIdAqPv/8+37z/frIebToxqHYht15+BRvOKQy9j44bi6fChhcmZ3uDRBgOwcOAXulqvre1FrKJyGpSqUMBMxtMNNu7I7BtfPgV4EfA8+Wco5zg+0iiqwPAUUQ91EREOr0P5s/j6/feH9fqGgNra5sMvQRAOv5dFCZ+I6Ucgmgxm2EQGnsN3YQfbz+J4X36tsOoRES6pE+BV4HfA+e5+8qWnqCcrg7/bWaHAzsRTWeoq4OIdAmvzprFkbfdni9dGFhbG9X0JkLvaVMmM3WLsXjKocrzdb2YN2xQkYpqe83giI3HctZWu7DBWlrEJiJrwNHObY3tBEwEDgXONrOPiGZ6nwf+4e4rmnktUGZXB3e/28ym5p5vZv3cfd7qXrWISEdwyr33RX13g0ToTdb0To5Db1W0EUWuksEgmuENgCAufXDYrPd6/HaXA9pjKCIiXZ6750Lu7wDMbARwEHAjMATosapzlNPV4RvA/wDLgJCG+Y6NVu+yRUTa36yFC6ldthzDGFAq9E6ZzNSxY/HAAY82qMj15TWHao/eEb0hDV+w637tMxgRkW7CzDanoc53J6AvURi+spzXlzPj+31gjLvPWd2LFBHpaBauWIEZDFhQyy1XXt6opnfq2LhPbzoRenNlvZk4ASfKfA8csRlbDRhcySGISBdnWtxWwMzmAJ8RtS+bDlzg7jNaco5ygu/7wNKWX56ISMezor6eW/75One/+W8G1tby5+LQOzme6TXiEgeLA26ie4MTbekTQE0mzTfHbs93ttypnUYkItJtbOzutWtygnKC7w+A58zsRSBfNOzu31mTHywiUknZMOS6V1/h/z0znazn+vQWhd4TJjN1zFjCTDzLmyvs8rhpWTpe0BaXN/xk20mcOHYCgWkBioi0Ac34FjvDzP7o7vNLPWhmewA93f2hpk5QTvD9EzAN+BdRRZuISKdzzt8f4d6338bdWb92YePQO3kyj44fi6cp2psiEXoTx4/dbDwnj9sWERGpmH8BD5nZcqK2ZrOJFrRtAmxJtMHar5s7QTnBt97dz17DCxURaTcPvf02973xNqQSoXd2YcuyR7ccG83yFvBocjcVRqHXgAB+vN0kThm7XWUHISLSzbn7/cD9ZrYJ0cK2QcBC4M/Aqe6+bFXnKCf4PmFmpwIPUljqoHZmItLhfVpby1kP/g03GFgi9J4+ZTJTx41tWKxWMNtr0eqSVPQ1HQR8d/xOCr0iIu3I3d8D3lud15YTfI+Nv/4g+TNROzMR6QQue+4FwhDWr63llqub6d6QD7xecD+TTpFJBZjBGVtO5JtbKPSKiHRW5ezctmElLkREpDXVLlvOH555nrv++SYDa2u55erG2xDnQ29uBzZPhF6HQ0eO4peT9mLusqUM7LUW1amy9vwREZEOSu/iItLlPPPhf/jG3fexPJtNhN7ZQBR6zzh+MlPHjou6NQREwZd48VodBBhVluLcibvSK1NFr0xVO45GRLor9fFtfQq+ItJluDtXvfgyFz3xLNm0lw69x01h6uixUEe0mC2d79uQOws9gyoOHzOG9Xv3bo9hiIhICWZ2Kc00eSun1a6Cr4h0GWc+8BCPvDWDEGfgwsY1vWccN4XHxowjmt31qF9vThD16E1nAn62054cPmZ0+wxCRCTH1SO8yD/W9ARlBV8z60vUI61H7pi7P72mP1xEpLX87qlnefitaOfK9RfWcvM1pUOvxy3Kwp5FoTduVVZPyKGjR2HalEJEpENx9xvX9ByrDL5mdgpwJjAEeA3YAXge2GNNf7iISGuYt3QZ17z0CgADaxdw89VXsOHcZOiNdmTL/YXMMx5tx5N/B7T8wjYz005sIiIdmJn1B84FRlM4KbvKbBqUcf4zgW2B/7j7JGArop0yRETa3ecLF3PRE9PJ1mcZuCAXeosWso0bF2XbADxD3J43DrcG+ZKxLOw1bKRme0Wk/XkHuHVctwBvARsCPwc+Al4u54XllDosd/flZoaZVbv722a22WpfqohIK7nvn2/y44cfoz4b0r92ATdfWxR6j53M1FHjos4NcSlDjgfesGGFWVT2m4U/7HlAO4xERERaYF13v9bMznT3p4CnzOypcl5YTvD91MzWAe4DpprZfGDWGlysiMgam7N4Cef/dSp1YcjAhQu4qSj0fufYKTw2ZizZHiFG0QyuAUHcrDexW1vvqmpqMplKDkNEpGkde9a1PdXFXz8zswOIcumQcl5YzgYWh8bf/szMngDWBh5ZnasUEWkN786ew1evu4W6MGT9UqH36KimN9vDoQo8dCyM0q1bvJCtOAwDk0ZoQ0oRkU7gl2a2NvA94FKgD3BWOS9sMviaWR93X2hm/RKH/xV/XQuYt5oXKyKy2rJhyNduup26bBMzvUdHm1OEGcfT8XRJEJc2QGIGpXCXNnO4YI+9KjkUERFZDe7+UPxtLTCpJa9tbsb3VuBA4BUK/hgY/UxAUyMiUlFzlixh/6tuYvGKOtYvUdN75tFTeGz0WDx+Z7N6izo4xOE2L/d9fDxwuO6Aw6jRDm0i0oFo57bSzGwj4A/ARKIePc8DZ7n7B6t6bZPB190PjL9u2ErXKSKy2l6f+Tlfu+E2Qof1Fy7g5uuKZ3rj0JsCAqK63jDek63gl0e0kI0sWABVQYrHTjiRoWuvXfExiYjIarkV+COQK8c9GrgN2H5VL2yu1GHr5l7o7q+24AJFRFZbNgw5+bZ78Dj03lQceo+JtiH2FJBbm5b/O1VRLa8DIayVSZNOp7hi/4MVekWkY9KMb1PM3W9O3P+zmZ1ezgubK3W4KP7aA5gAvE70G2QL4EVg59W4UBGRFjv/b1NZuHxFVNNbYqZ36tix0RNz72hOtENbcafyuDdlTZDm6oMPZcLgDcikUpUahoiIrIHEurMnzOw84Haid/ajgL+Wc47mSh0mxT/kduBUd/9XfH8s8P01uG4RkbLMql3Iqbfdx7uz5zJgUePQe+ZRU3hs1NhoO/s0+cnd3LbEHtAwYxLP9GYIuOTAA5k4dFjlByQiImuieN3ZNxKPOfCLVZ2gnD6+m+dCL4C7v2FmW7bkKkVEWiobhhx/053MXLAwmum9vnHonTp6XNStITdpm/yzoBUes3pYr2dPrjjwYCZssEGlhiEisvpU6lCgNdadlRN83zKza4A/E/2/4HiibeJERNrMix99wvwlSxlQu4CbbigdeoGGHdmKQm9xl15LwRaDBir0ioh0cmaWAb4F7BofehL4k7vXNfmiWDnB98T45GfG958Grmj5ZYqIlOeDOfP4xd+eoPfsOdx4wxVsOK+4e8O4eKthGhJu8Rq2ZH2vQ89MhkM3H12BqxcRWXPmamfWjCuIljJfHt8/IT52yqpeWM7ObcuB38c3EZE24+5c//wrXDh1OustXMDNN1zBiHmF3RseGzuu4fm5BWzxYrZ8+A0Ag7RBNoxC78QhQ9lv5KYVH5OIiLS6bd19fOL+NDN7vZwXrjL4mtlOwM+A4cnnu7s2sBCRVpMNQyZeeCW1y1cwYGFU3pAMvWceOYXHNh8Xhdz87K6Be/yd4e7R5hUGB4zclFH9B7Bg+TJ2H7EhOw4ZhlnjbYpFRKTTyZrZxu7+PuQ3tMiW88JySh2uJdr/+JVyTyoi0lKn3HIvtbmWZUWh97tHTuHxUeMwj7boyXdvMG9czAukCbh0vwMVdEWkc3O9hzXhv4lamn1A9FtgOFFp7iqVE3xr3f3hNbg4EZFmrcxmef7Dj5uc6Z02Kipv8EQ9r+fbNURf8vO+Dj/ZbZJCr4hIF+Xuj5vZJsBmRL8F3nb3FeW8tpzg+4SZXQjcA+RPqp3bRKQ1hO786MFH6d/MTC8QL2TzggkQD8CsoaFDj6o0F+y1FwdvPqqiYxARkbZnZoc18dDGZoa737Oqc5QTfHP7Hk9IHHNgjzJeKyLSrKueeYkXnnshalnWVOgFwlRU1uAposVrEM/8Rpl40Npr8fiUk6hOl/O2JiLSCairQ7GDmnnMiSZpm1VOV4dJLbkiEZFyfVa7iFsfepgbi3dkS4TeMCC/QUWYDL0ADkEAh44ZzQ922U2hV0SkC3P3sup4m1PWbwkzOwAYA/RI/PD/WdMfLiLd29V33ceN115eGHq/NoXHRkV9esMACBp6WXpiW+LcsSpLcdYOO9Kvpqbi1y8i0pbUx7eQmQ0BRrj7M/H9s4G14odvdfcZqzpHsKonmNmVwFHAGUS/co4kWj0nItJisxct4cJHn+bEX/+BE879XqMd2R4bMw4PIKwiak8eRN0bPA7BhYvZIlNnvF/ZQYiISHu4EFgncf8bwBKiXwk/L+cE5cz47ujuW5jZP93952Z2EWXUUIiIFPv3rC847ro76DN3DjfdVNS94ah4R7ZGHAIIM6XPaWakAnVwEBHpBjZz94cS95e6+0UAZja9nBOUE3yX5U5uZoOBucCGLbpMERHgB/c+uurQ6zTM7MbTumGixKGYu7P3yJFtfOUiIu1ApQ7FehTd3zPx/brlnKCc4PuQma1DNL38KtH/G64u6/JERIC5i5dyyWPPsmDGjMah98i4pjfxBu+50Ju7JeXa91qUj3++554MWGstRESky1tkZpu6+7sA7j4PwMw2BxaXc4Jyujr8Iv72bjN7COjh7rWrecEi0s0sXLacw//4Z1KfzeKmm4v69B4xhWmbjYN6Ct6NzIm3aEtsWhFSMOubCQJ+vffeHDZ6dAVGISJSYa7FbSX8lGhC9ldEk7EA2wA/BM4s5wRNLm4zs23NbP3E/cnAHcAvzKzfqk5sZteZ2Zdm9kbiWD8zm2pm78Vf+yYe+4GZzTCzd8xsn3IuXkQ6rmwYMv3dj/jhXY8QzJrFtTdf3ij0Pr75uKgPr8X7U8SvzXdxINqwIrczce5rr0yGicOG8dVR2qhCRKS7cPdHgMOIShxuiG+TgMPK3WW4uRnfPwFfATCzXYELiDo7bAlcBRyxinPfAFwG3JQ4dh7wuLtfYGbnxffPNbPRwNFELdMGA4/FU9nZcgYhIh3L7IWLOf7qO5i3eCm95s7mhluKZnoPn8Ljm42NqhaMRh/BC7anT3yfCoytBw/m+C23ZL9NNiHQtsQiIt2Ku78BTF7d1zcXfFO52gmidmZXufvdRCUPr5VxYU+b2Yiiw4cAu8ff3wg8CZwbH7893mf5QzObAWwHPF/eMESko3B3vnHTfXwyt5YBixZww62Fofesw6YwbdNx4HGLslRDts3/Va+JPNszU8VNRxxBVSrVxqMQEekAVOrQ6prr45sys1ww3hOYlnhsdbdHGujunwHEXwfExzcAPkk879P4WCNmdqqZ/cPM/jF79uzVvAwRaQsLli5jl//9E2/Pmh2F3qKZ3rMPjUMvAJbfkCK/js2IwnDRjG8qMHqk0/xuv/0UekVEZLU1F2BvA54yszlELc2mA5jZSKC1F7eVmt8p+TnH3a8iKrVgwoQJ+iwk0oGcfvMDzF28jIG50Du/MPQ+tlkUet0gW0UUeov/9VtU2wswcO212G74EEb0XYfDx4xhyNprV3A0IiLtTCmnbGa2rbu/vKrnNRl83f1XZvY4MAh41N1z//kDolrf1fGFmQ1y98/MbBDwZXz8U2Bo4nlDgFmr+TNEpMLcnd89+gyv/GcWAxfG5Q1FoffxzcblW/OGcejFoxneZPZ1HMOYMmFLzv/K7pjqeEVEpITEGrFjiCZlJ6zqNc2WLLj7CyWOvbu6Fwg8AEwhWig3Bbg/cfxWM/sd0eK2TYCX1uDniEgF/eCuR7j/tbebDb0FQrBUbjIjiroNjAnDN+BHe02q0NWLiEhnYWbDiYLuMUTNMIcDE9z9o3Jev7q1uuVc2G1EC9nWM7NPiXqvXQDcYWYnAx8DRwK4+7/N7A7gTaJBnKaODiKdwxe1i3nwtbcZWFtm6IWCKd78jK7HQTiA/5v1GSvq66lOt9lblIhIh6c+voXM7DlgbeB24Ah3f8/MPiw39EIbBl93P6aJh/YsddDdfwX8qq2uR0TaxssffkL/UqH3q1N4fNPC0OvEi9eChpCbl2jt4O5kQ73ji4hIgdlE5bADgf7Ae7SwErq5rg4iIs36YPZcfnfD7SVDb9SyrOG5ua4NYVXiBEXlu7m749YfSM+qTFteuoiIdDLufggwjmjXtp+b2YdAXzPbrtxz6O+IItJi0958n9/89UlWfvgx19/eROiN5bKvBxBWk9ierfF5HehZleaC/fduy8sXEZFOyt1rgeuA68xsANHitovNbKi7D23+1Qq+ItJC1zz5Epc9+hx958/n+r8Uhd6DG0Jvrjdvrk9vmKbxDm0U5t8hffpw34nHsk5NTZuPQ0REOicz6wGMJPo1cpW7XxIvelslBV8RKdv7X8zl4r89S/+FC7j+jsLQ+72DpzBtk3F4cZqNvzdPzP7GzwmC6PtMKuCkbbfmjJ0nakGbiEiOljoUiDdW+zVwEvAfoumUIWZ2PXB+OefQbxgRKdtZNz3EgIULuK6J0AtEQTcgesMuXrzmDbO8v9hnT3YaOZzAAgb36V3JYYiISOd0IdAb2NDdFwGYWR/gt/HtzFWdQMFXRMry+n8+Y/H7HzQfegFCGnZks8IaXzwKvT/ZexJHbbNFZQcgItKZuNqZlXAgsGliUzXcfaGZfQt4mzKCr7o6iMgqrayv5wcXXdts6E2+P3scfHM1vvmd2oAR/fpy/HZbVvLyRUSka/Bk6E0czFJmYYiCr4is0tOPP8Plf76kMPQeNIVpI6Oa3uK3IU8DqWiW11PkQ28mCLjk8AMqeu0iItJlvGlmk4sPmtnxRDO+q6RSBxEpqXbpcm559jX++cI/+NEffsGQZPeGg6bwxCbjGj5eJ8oaciUOpZy4wzZsPrB/21+8iEhXoFKHYqcB95jZScArRP+FtgVqgEPLOYGCr4g0Urt0OYf/4c8En83iqj9fVhh6D5nCY5uMK6w9K9HFISdX24vBxBGrbLEoIiJSkrvPBLY3sz2AMUS/cR5298fLPYeCr4gUmLNoCWff8hDZTz/hmtuK+vQeNIVpG40jlU305U3uzla8oC0RgmvSaSZuOKxCoxARka4m7t/7TaIevv8CrnX3+pacQ8FXRPI+nD2PI/9wC33mzmm8OcUhUU0vgIcQZCEbB924UxkA2Qz50ofc7G9g8NuD9yOwJmogRESkMZU6FLsRqAOmA/sBo4DvtuQECr4iAoC7c+KVd9Jn7hyuKxV6cy3Lcv15w2jhmuUWtxmEGbAQPEN+NrhvdQ/+Z/+vsNfoke0zMBER6SpGu/s4ADO7FnippSdQ8BURAB5+7R2CWbOaD71QOL1rcQ1v7rhBEELGU4zo25e7Tj2GKu3EJiLSYob6+JZQl/vG3ettNf6KqN9IIsLVT7zE7Xf9tXHoLd6cIsEDCmp8HciExtp9ajh4/ChO230HhV4REWlN481sYfy9ATXxfSPq8dtnVSfQbyWRbu6mp1/htrv+ynW3NbE5RW6P4RyPbtnq+L5FNbwXHbE/+43drMJXLyIi3YW7p9b0HAq+It3UkmUrOeVPd/H52+9wffGObAdG3Rvyobd4gwoDEm8/NZkMw/qtU6lLFxHpHlTq0OoUfEW6oefe+Yhv/ele1lu0gOvvLhF64/IGy7Uts3gRGzRsQZxQlU6x+framEJERDo2BV+RbiYMnTOvfYD+ixZwzV1XMGJB0TbEyZreAIJ6CKujzg1hQDTTm9iCOJ0KuPDw/UkF2gFdRKTVuBa3tQUFX5Fu5t+ffM7a8+euOvQmZYlmfYN41tdhp5HD2GroYA7feiyD1u5dqcsXERFZbQq+It3IvMVLmfbI0y0LvTkB+c0qhvVbh6uPP4wg0IYUIiLSeSj4inQTd7/wL6687i6uvrMw9H5//ya6N8TcwHPbEwNbbLA+lx53kEKviEhbU6lDq1PwFeni3J3/vWtaNNN7T4nQO3Ic1BPV7hZ3b3AIaygIxLd8/SjSKdXziohI56PgK9LF3TDtHzz59+lce88VDC8VegEz8BAIGrJvvmVZYia4OpMipZleEZHK0Ixvq1PwFeniHrz3Ma6++/KC0Pvf+03hiY3GRVsOQ8OMbu5r0Lh9byowjpqwBauzRaSIiEhHoOAr0oX5p5/y+1t+3zj0bhzN9OaDrdEQghudBDKpgD1HjeR7e+9cgasWERFpGwq+Il3VzJnYHns0GXrz4h3YCkJwwq6bDOMXh+/DgD5rtenliohIIfXxbX1aoSLSFc2cCZMmwXvvAaVnesOA/DtAQV1vPPPrgIWwfGm9Qq+IiHQJCr4iXcjCpct596XXyO6+e0Ho/f4B0UI2J25PliK/kC0fdoNokVsu9VoWAof3PpvbXsMREenevJ1vXZBKHUS6gGwY8pu7nuTZqc9w5d2XkZqf6N5wYBObU3gceuONKaITAWG++gGAwf36tO3Fi4iIVIhmfEW6gOsefZnnH3uWy++8jKHJ0LvfFKZtPK70J3cj+uiboqGFQ1BY4tsjk+a0fSa29eWLiIhUhGZ8RbqAvz/4BJfdcSnDaxML2fadwpMbjsOycWkD5FOt53rzJksbDNJBQFWQor4+y9q9enD2AbswaczGlR+QiEh314XLDdqTgq9IZzdzJhfd+rtGofeJjeLNKcLoFia2HS4obUjM8lalU9x46pEMX7cvPasz6tkrIiJdikodRDqpMHTmvzMD331SQcuyc/aOZ3qh4BbUEwVdT+xTkS1sl9Mjk2azQf3p1aNKoVdEpJ2Zt++t7Os0S5nZ/5nZQ/H9fmY21czei7/2TTz3B2Y2w8zeMbN9Wv+/WvMUfEU6ob++9BZHnXEBC3fYEZvR0L3hnL3jlmVNZFaPuzckdiHO/ymtRybNhUfvTyrQ24KIiLTImcBbifvnAY+7+ybA4/F9zGw0cDQwBtgXuNzMUlSQfsOJdDLPvvkRl111B78t2pHt+/s0lDc0KfEv3hPf7LDhUP76vf9ih5HD2uSaRUSkazKzIcABwDWJw4cAN8bf3wh8NXH8dndf4e4fAjOA7Sp1raAaX5FO5/ob7uPKu/5YWNO7zxSe3Ghc9KepXKItNeubXNAWf7vN8EFcdcphmukVEelo2n9x23pm9o/E/avc/aqi51wMnAP0Thwb6O6fAbj7Z2Y2ID6+AfBC4nmfxscqRsFXpDOZOZMfX/3rgtB7Thx6G0m8YbpBNkNDGI6/btS/H9d/6yiCQPW8IiLSyBx3n9DUg2Z2IPA4i8YSAAAgAElEQVSlu79iZruXcb5Sv2wqGu8VfEU6iTlvvss6B+1fuJCtqLzBjcJZXwCDbJqGmd74bScw44pTDlXoFRGR1bUTcLCZ7Q/0APqY2Z+BL8xsUDzbOwj4Mn7+p8DQxOuHALMqecH626ZIB/fh5/M4+ezfs2THnUl/8D4Qh96vTOHJ4eMahVxPbEUcZiBbBZZrWVbwudo5/vLbmb9kWcXGIiIi5evoXR3c/QfuPsTdRxAtWpvm7scDDwBT4qdNAe6Pv38AONrMqs1sQ2AT4KVW/s/WLAVfkQ5s+cp6vv+TK/nJdf9bUN5w7lem8NSGcegNG/KsWxx40xBWRSG4kRBwCB0WLFnOTU+/UqHRiIhIN3EBsJeZvQfsFd/H3f8N3AG8CTwCnObu2UpemIKvSAf23KPP8Ls7Lm4Uep/cMN6cgoZP5Z7blS0g2oY4qfiTe1zysDKbZfo7H7XNxYuIyJrxdr615FLdn3T3A+Pv57r7nu6+Sfx1XuJ5v3L3jd19M3d/uIX/RdaYgq9IB/TRF/M48cyL2Pj4rzUZepPcgCDemriZf9W5pg5J6/Xu1VqXLSIi0qFpcZtIB/P5vEV8+/uXcMWDlzeEXms69AKkslBf5hq15If4Hpk0U3bdeg2vWEREpHNQ8BXpQD78fB7n/fSqxqF3ryk8OaJ06DXAy/yzlMWdHWpqMoTunLXfzkzcZHirXb+IiLSS1Sg3kFVT8BXpID74bC5nnnspl93/R4YvnAM0Dr0FWw3nWMOXsPAQANWZNBM3jXZkmzByCNttPJQV2Xo2HdSfnlWZNhqNiIhIx6PgK9JBXHvNPasMvRD36i3x+lydL164eduh24/h/MP2aNuLFxGRVlVqTYasOQVfkQ7g/Zde5xsXnc+wVYTe3LtgbuY3dzybAqobHk8m3+X19W189SIiIp2DujqItKPFy1bw3XP/SGbvvRiWqOk95yuTeWLEuMISr/jjf+5YGG9WEaajDSpSqcTcQOK5y+vqKjgiERGRjkszviLt6LcX3cJZV/6cYQuj0FtvAefuOYWnho/DPFG+kJjpbaplWX29NzpeU5Vhvy03b8MRiIhIm9Hitlan4CvSTj7/11uceOF5DC8OvSPG5csYvKjIKx+EizhEK9tyzzVIpwJ23GQYu4/aqA1HISIi0nko+Iq0g4XvzqBu190ahd5kyzIDAocwRbQtcROFSflyXgfPkl/g1r93Ly6efBBmWh4hItIZmWZ8W52Cr0iFLXrvfRbusBNDFzQdegskV7I1k2EtJNqqOO5ptu5aPRV6RUREErS4TaSSZs4ku/skhsz/EogXsjURevML28JGDzV+blG+ranKcPRO49f4ckVERLoSzfiKVMrMmTBpEuvM+gSIQ+9eU3hqWGHoNRqCrMcL2/J/7Uo26KWw40MqgKqqDNkwZN8tN+XgCaPbbCgiIlIBKnVodQq+IpUQh17eew9oCL1PjhhX0HvX4s0nPACCaIvh3CI3g5KlDp6K/nTzv8fvT10YsuWIQQxdb51KjEpERKRTUfAVaUN19Vmef/hZxp16HH0//zQ6Fm9O8VSuvMGJkmtQ9OE+EXqb7OQAZFIBv/+vg9htrLo3iIh0KZrxbXWq8RVpI5/NWcjkr/8/Rhx/eGHo/coUnhw+Lj/DW7hLRcPdXOh1KzxO4mva4NKTDlboFRERKYOCr0gbmLNgMd8+82IuuOd3hdsQf6VhIZslbyHgiWAbFG1eURSM899n4W//eLuNRyMiItI1qNRBpA1c+vvbuPjBSxm+KAq99RZw3h6TeWrYWMw9Kt6N5TeriNuVeTIR5x7Ppd3cR9WwoR54yXJtSSwi0uW4+vi2BQVfkVb29INPcfLvf8iwZOjdbTJPDmuiT28s8LhzWdFubRDnZAdbSdSrN1ZTlWHvrTdtxasXERHpulTqINJKFixextWX3cmI448oCL0/2G0yTw0bF5UzNCPfqayZ5xkQxLPFNVUZxg5fn723UvAVEREph2Z8RVrBZ3NqOeO7l/C7By4pHXohquFtbvc1i8sXSj0er2zbfOgAthw5mNqly9lj/Eh2H7cx6ZQ+v4qIdEkqdWh1Cr4ia2jp8pV8p5nQm2SAh0R1DeRCrhX07M1LblUM1KRSnPnVndlh1PA2HY+IiEhXpeArsgYWL1vBWd+7jIuKQu95u03m6UTozW9KQSL8AmQSK9hy8qvdKGh5ds5RkxR6RUS6ES1ua30KviJr4JKLbuPHt1xQEHrPnTSZp4cUzvTmth6GhlndMFXQ3KGAhYVveL16ZBjQd63WvXgREZFuRsFXZDUte/9Djr/wnHyf3noLOG/3uLwh15khV64Qf5/v05sGayL1WkijGeAQWKdXTRuNREREpHtQ8BVZDfUff8zSHXdh2MLZ0X0L+MGuk3l6g3FYNp7hTdHQN6Uo9OanehOL3fITvEV5ODBj3d49GTN8YBuNRkREOiSVOrQ6LQcXaaEPXnydWWMnsO6XM4FE6B0adW8whyBLNE0b1+c6RJtTpGi6viF+TlIQGEP6r80VZxzW5AyxiIiIlEczviJlmr9wKX+/4zF2PPvkwu4NcejNyVc4ZBsWtDXsyFa8M0X0pXfPapbX17OyLpt/qCqd4odH78HBE8co9IqIdENa3Nb6NOMrUoaX/vkRJ5/0m5Kh96mhjXdky3Up88SNVNS2LF/zG2fZntUZLjntq+y11SZUpVNUZ9L0613DL6fsyyE7jlXoFRERaSWa8RVZhTff/5xf/vR6Lnv88rJCL8QVDrlOZYE1zPiWcNdPJrN+vz6M32gwPzx6TxYtW0H/tdciCBR4RUREWpNmfEVW4dLf3NIo9P5w58lM32BsviQ3+deogkVswC9P3o9tRw1ttGGbAdtuNpT1+/XJH+vZo4qBfXsr9IqIdHfeAW5dkIKvSDOWf/gRP7i9sE/v+TtPZvqQsdGitUQ+Tb5PZBN/S9l5iw059+g9WKummqp0Cojqd3vVVHHuUZMqMxARERFRqYNIk2bOpHqfvRuF3qeHjM0/xYvqdXPfG+AO+22/OWvVVLNWTTX3/GwKdz39T97+5Es2HzqAI3bdgnX79KrwoEREpNPoorOu7UnBV6SIuzPt3icYc8qxrD//C6Bx6C2o4U1M9Xqq4TzbbT6Un5+yb/7+un168Y0DJ1ZgBCIiIlKKSh1EEmoXLeObJ/+WTaYcVRB6f7jzZJ4aMrahnMGiVmXmRRO+2egJa/WoYvJ+25IK9E9MRESko9CMr0gsDJ1zzvwj59/5/xi2OFHeMHEyTw4bG7XgjXda87jFWNHOwvn+vdkwZPzIwRUegYiIdBW5DZGkdWk6SgTIZkP+/Md7Of/O3xSE3h9NnMzTG4wlCMExPLB86C0l98i5J+xJJp1i3sKlZMOwAiMQERGRVdGMr3R7n31Zy/dPv5T/ffgPJUOvAR4CqWZPU+CjWfPY4/Q/ErrToyrDaYfvzGG7b9Em1y8iIl2UZnxbnYKvdGtLlq3ku9/8Axc+dmlhecNOk3l68FjM4/edoKFTQ76o1/OVD3lOVPt7+2OvsiLefnhlXZbf3/4k66zVgz0mbFrB0YmIiEiSSh2kW3v4lr9z4dRLG7csGzoWgsRmFMXptuhu/hYH4hUrswXPWb6ynqvuf75tBiEiIiJl0YyvdFvL3v+Q7c8+maGLm+7TC9EMLsm63kTvXodGQdgaHwLgi3mLW+3aRUSk6zNXrUNr04yvdEvPPzid2Vttx9BFs4GmQy/W0Js3P/tLVPKQu28W33KvCaDR/sTApkP7t+oYREREpGUUfKXbeeWRZ9ng2MMKyxt2Kgq9ce1CmALMCmdwi0JtctY3nQrYefxG9Kgq/GNKj6o0px+5c+sOREREui7vALcuSKUO0q28+8yr9D/yq4UL2XaMFrIl/5HnF7RZbgGbEyandUvU/KZTxjq9a/jJyfvw+oyZXHX/83w+dxGbDO3P6YfvzNiNB7X9AEVERKRJCr7Sbbzw4HQ2OPawwpreneKFbMlth6HhbyHeUGNl5g2zvx4/xyEVGGv37sGBO43h+P0msE7vGnbbaiS7bTWyksMTERGRVVDwlW7hwRseZsszphSE3h/tEM/0hhS0KDMHsvGWxJBfxBZkITTHkuEXCN1Zsmwlx+yzDX379Kz84EREpEvSzm2tTzW+0uXNfeMdtjxjMkMXNyxk+9H2J/D04DFY1qNbvUOWfJg1wEKiUBwmKhyKNmHLHU+nAl59+5M2H4uIiIisPgVf6dLemf4KSybuXDjTu/0J+R3ZgHyZQ6JLGSS+4jSE39xzvbDM1zB61VS17WBERERkjajUQbqs2rdn0HP/fQtrenc8genrj20UbqPSBS/s15t83BO7tiUfiKVSAduNGd7qYxARkW5MpQ6tTsFXuqR/PfYS6x5xUOFM73YnMH3g2CZfU7z9cKknWAC9e1axPJslk44a/FalU1z8vcPy90VERKRjUvCVLufeax5i27NOYnCipvfH253AM4PHYl60/XBLGDjG0uV1bDtmOEd8ZTw9qjNstdkQ0ilVDYmISOvS4rbWp9/W0qUsfHsGE846iSFFoXf64KLNKUqx5nt2e7wjWzZ0Xv73x0wcN4JtRw9T6BUREekkNOMrXUbdRx+zbMddCro3FIfe3AK14lnfMABSFi1u82ixmrs3bFNsQFC4a4U+iIuIiHQuCr7S6dXXZ7n4pzdx1B/OYeiShpreH297AtMHNV3TmyvodYOaXlV86+idOewr4wnMePXNT5n67Nu8+tYnzJxbS5jIvIEZW242RDW9IiLStjTD0uoUfKVTc3dOn/xbzn/gtwWh9yfbJmZ6k6vWcruzJWZve9Vk+NtV36Yq0/DPYcLYYUwYO4z5C5dy0s9uZcGiZSxdUUdNdYYeVWnOP3mvCoxOREREWpOCr3Rq1/6/vzQZeuON2CKJT8253dhyt4nbbBiVNXi0K1tS3z49+ctv/osnXn6Pdz+ezfBB/dhrh82oqc60+dhERKQbcy1uawsKvtJpzf/3u+zzizOanumldHuy0ChY1vnY8+/y+LPvUlOVYb0BvZk5p5ZUELDn9pvy3RN2p0+vHuyz4yj22XFU2w5IRERE2pSWo0un9NqjL7B4+52KQu/xhd0baLwEzYGwxGStGyzJ1vGfz+dTnw1ZUVfPoy+8zbd+eQdhqI/cIiIiXYGCr3Q6c994h3UPO6gw9G5zfLSQzRtCqsffe+KWrQJSzTTyTTxUXx/y2exaXnnzk1Yfg4iIyCp5O9+6IAVf6VSWzfiQZRN3aRR6nxk0tuEfaX5/YSCMZn3DNGSraQi9RdnXrfExgPpsyIez5rbFUERERKTCVOMrncaCN99j6cSdCzanyIdeokUAyQ+ouRxrIWTdsTCIHk8sbMt/qs13fYjPEC9yS6cCRgzu14ajEhERaSzXV15al2Z8pVN4b/orLNpuRwYv/BKIQ++EhtALjUNv8paqA0LHsmDZhic7Tcz2upNKGeuv24cJo4e1zaBERESkohR8pcObfucT9Nhv38LyhlzobaZct1i0IxuF9Uu5Dg9GNMubv0GPqgyX/+hIgqAFP0REREQ6LJU6SIf2zlP/YMR/fY2hS0uE3hyLy3ppmOEtxRLPIQth8n/9VvwqI5sNWbRkBev07tlKoxEREWkBV61Da9OMr3RYi999n14H7l8YercpCr1Jqahsoam3CU/+r72cSVwz6rNhSy5ZREREOjAFX+mQHrzmb8zfaoeChWw/3bqoe0NObncbLziU/+rEoTee1c3V9RaWPTSOy717Vmthm4iItBvz9r11RQq+0uFc++vb2PLMKQUzvT8dfxzP9B8D9d7QrixX3xDX7gbZ+B+qNcz8OhCmIEwHDW0JS9VDJO6nAqOmOsMvTj+g0RbGIiIi0nm1S42vmX0ELAKyQL27TzCzfsBfgBHAR8DX3H1+e1yftJ9n7niCfX71HYYkQu/Pxh/HswPG5GdoPUucdKNQmutKBlHrMk+BmTWUPRiN25jFUoFRlUnzm+8dzCefL+DDmXMZ1H9t9t15FOuu3asSQxYREZEKac/FbZPcfU7i/nnA4+5+gZmdF98/t30uTdrDtFunssnXjy0ZegFwj2ZgPSpdyLfehcIZ3FzpQtypIUzR8LeNxPPSqYB9dh7FCQdvx/DB/dhuXBsOTkREpCW68O5p7akjlTocAtwYf38j8NV2vBapsE9feoNNvn5sQXlDQegtlixBsMRXS9x18EziuUVVC1WZFDtvvTHDVccrIiLSLbTXjK8Dj5qZA39y96uAge7+GYC7f2ZmA0q90MxOBU4FGDZMGwt0BSs//A+25x5Nz/QmJGd3Cz4IF4VaI7cxhTXZ42xlXZZPP1c1jYiIdEymxkKtrr2C707uPisOt1PN7O1yXxiH5KsAJkyYoD8CdHYzZ7Jy513ZING94Wfjj+OZuKY3+f9gz3VlSMX3ab4rWWBGNvdEGj85k0mx8bD+azwEERER6RzapdTB3WfFX78E7gW2A74ws0EA8dcv2+PapHI+f/VNvhw3gbVmfQwkQu/AaKY335LMwINosVqYjgJwbpvhpkqggpTRo0eGYEVIakWI1YcFT0ynAjYYsDbbbzGiDUcoIiIiHUnFg6+Z9TKz3rnvgb2BN4AHgCnx06YA91f62qRyls34kPpdd2PA/M+BRMuyXOgNLH/DDE8DaYs6OeSmgpN9e73hbjodkA2dpctW5qscgnoIstEzaqozHLLHOK786dHajlhERDoub+dbF9QepQ4DgXvj/qhp4FZ3f8TMXgbuMLOTgY+BI9vh2qQC5r/xLkt22IkhSxI1veOO5dn+owuqEvKtyOKPZ57o2VvAC/v2pjMp6op2XDOgioAHrzuNXjXVbTMwERER6dAqHnzd/QNgfInjc4E9K309Ulmf/ePfZHffvSD0/nzcsdFCNo/78AZxiI1reUttIlHcvSxX8OtpY9nyupI/u64uy8JFyxV8RUREuqmO1M5MurgPn3mN7G6lQ29x44XcLG8y9FrR1yRLfNPkX2cM3v949upevoiISEVpy+LWp+ArFbH4nffJ7LNXQcuy/ExvCWaJ0JvcorjUc4u+yc0YJzmQyqRYd5211mgcIiIi0nm1585t0k388+Hn6Xv4QQxdNhcoHXqb/GAZeuGDgRduXkFRDX5ItBjOCl9nKWP99ddm840HrtlgREREKiG3C6m0KgVfaVOfvfJv+h5RGHp/lgi9xb168wdD4q3XokMFG1d4FH4LXhsQHYsXupGyuPbXSWdSbDh0PX5z7ldL1guLiIhI96DgK23m9Yefp1+Jmd7nEptT5Hv1QjxTS8OMbi70GiWKchyP9yf2XOilcFOLqqo0O269EV8/ZieGb7Bu2wxSREREOg0FX2kTi9+ZwbqHH8SQZsobcm3IckE3N1MbtXeIVqk55GdzkzzX1yzRhzcXolOpgEP3Hc8+u45m1MhBbTNAERGRNtZVF5i1JwVfaXXP3/EkQ//riOZDb05uB7ZkW4dkyG2iMsGw0qVPBlWZFKedsDuZTGoNRiEiIiJdjYKvtKqnbpnKxl8/pjD0jj2mye4NDbO6RqOeZvHjTbHiLYsNevRIc8wh2yr0iohI56cZ31an4CutZvZrbzUOvaOP4dl+oyEMC2Zynaie183i+t1kdW6s5Mq3SCaT4sC9t2DkxgO49b6X+OSzBazTp4bjvrodRx88oS2GJyIiIp2cgq+0jpkzCfbcsyD0/s/oY3huvdFRfs0SFSsFucALBInODMkFbUWVDh4C8QRuKhWQTgXsPWk03z11T8yMg76yBe6ujg0iIiLSLAVfWXMzZ7Jgq+1Zd95nQEPofXa90fmn5CKpOxCABXG7sTjp1tRkWLYs3mo4OctrcUlDGB20wDnrm19h5qz5HH3KVaRSAQfsvQVfO2SCyhtERKTLMLS4rS0o+MoaeeW+6Qw6/jAGJ7YhLg69+e4NRF89CAoeqE4HpFMpgqCeMCz6Vx7ftXhqOFvv/PGaJ1ixsp66uiwAN972HK++/h9++z9HatZXREREmqQti2W1vfbAsww89tDC0DvqGJ5dt0TozbUqSy5ii+t7V9aHrFxeF83q5lar5fKvNZwn+uosXbYyH3oBVqys5423ZvHmO5+14WhFREQqyL39b12Qgq+slvlvvMN6Rx9SWNM7KjHTmwyvAZAOGup4zYpusHJlPbnWvM0JUtZ4VhjIhiFvvavgKyIiIk1T8JUW+/jZ11my3U4lQ29+Mjf5gniTCSfeZa2URIlC/ruifFtdlaZP7xqqqxpX6GTSKQb0793ywYiIiEi3oeArLfLl/71JsFdR94bNj+bZdUcBjSsVCIAwccysrD+lJMNvEBjDh67LScfvzFUXTyadLvyfrZnRo0eGiRM2bs2hioiItCvz9r11RQq+Ura6Dz9m5U67Ngq9uZZljUJsyqI+vbnHsi37V5Rb0brPHmO48YqTOPrw7RjYvw8X/+pohg3pR1UmRSaTYtONB3DZb45RVwcRERFplro6SHlmzmT+ltuVDL0lFX2kshAwixaw5Wt9E0/wxPGE6uo0B+07vqBbw6YjB3LzFSfz5ZxFpFMB/fr2WoOBiYiIdFBddNa1PSn4yip98NQr1BywH4OWzAaaDr25zSgKNqSINezQBsV9einx/Jx0KogWvpUwYD3V9IqIiEj5VOogzbrnd/dQte8+BaH3F5scxXP9RjV+cjK8Jsoe8qHXjOj/cg+QD8F916mhqqpxqUIYOqM3H9wqYxEREZHuTcFXmrT03Q/Y7vxTGbK8obzhF5tGoddKtBTLye82k3tOicnc5KHq6jTHHLkDm44cSE2PDBBtTVxdnea/v7sv1dWZ1hmQiIhIJ6LFba1PpQ5S0luPvkjvQw4oEXpzfXqL/kWYNSpFyi14MzPCJkoZDNhm/HAOP2QbDjtkG5557l2ee3EGfdfpxQH7bsGwIeu25rBERESkG1PwlUb+cfdTrH/84U2H3pwQCBq2I84run/GaXtx1XVPsWx5Xcmf9+abs1iyZAV9+tSw+y6bs/sum7fOQEREREQSVOogBT597p+rDr3uUdhNzvqW3LkCNtigLztMHEmvXtWNKh6iGWFYvqKOvz3yz1Yfi4iISKeVKxlsz1sXpBlfyat98z3Yc4/C0LvJUTzXd1RDu7E47OY7OLhH95rYa3jKibvw9W9ez7LldU12ZVmxop6339F2wyIiItK2FHwlMnMmy3fYuSD0/nKTo3g+2b3BPQ64DUHXQvAm9o1IV6X4y13/YOmylYTNfHKsyqTYaMP+rTMOERGRrqJrTrq2KwVfgZkzWbHTLgxc9CXQEHpzLctys7tRKUPD1G7+eFB6xre+PuSj/8xuNvSaQaYqzYEHbNlKgxEREREpTcG3u5s5k9qttmft2TOBOPSO/BrP9d08X97gTeyqVhhnG4ffIDB61FRRt2h5yR9tBqNHbcD3ztxHu6+JiIhIm1Pw7cbCTz5l7rgJ9K/9AkiE3kR5g+fLG2gUfo2ijg5xuW/+/KFzyIFbctc9r7B8RUNHh6pMip132pQfnHMA6XQTdRIiIiLdXFftpdue1NWhm1r05gy+GLV1Ueg9svSObEWBNnnYIVr5mQ2jGWJveKC6Ks2mI9fnkIO3oiqTolfPKqqqUmy11XC+f9a+Cr0iIiJSUZrx7YbqPvqYJdvt2LANMQG/3OhInuvTUN6Q5Gb5Y7lHch9Cc0/NB+AgcRBj7bV78s2vT+K4oyfy0cdzGNC/DwMH9GnD0YmIiHQRxZtFyRrTjG8389wtj/HF5luxfjL0bnwkz68TbxqR+DcWLWgzzKxhG+L4uBsFIbdUN7Oamgxjxw4BoHfvHowbM0ShV0RERNqNgm838vJfnmDYyUcxZMU8IDfTewTPr70ZEIfX0BtKGCAKtrnNKhomcrHASi54SwbnX/zqcIKgiQa/IiIiIhWm4NtNzH71TQZNOaJx6F2nxPbAZhAE0a1oYVu+rVlT4sdSKePOO1/OHw5DZ+XK+jUeh4iISHdh3r63rkg1vt1A+MknrNhxl1WG3vz/xrMhZFINB5N1vGV+VMpmnRdfmMFbb83kiSfe4qEH/4+6uiwbbNCX75y5D1tvPQKAZctW8vyLM1i2vI4JW2+YL4VYsmQF0556i8+/WMiYUYPZftuNSKX0OU1ERERWn4JvF/f5y2+Q3WX3smZ68xO5Dh7GPXyTx/NPbKKnb6qw/CEMnUsvmcpHH81mxYpotveTT+bxo/Pv5A+XnMCSZSv54U/uAqJewWEYcszXdmCXnTblzHNupb4+ZPnyOmpqMgwZ3I9LLjqWmh5Va/hfREREpBMoqDuU1qLg24UtfnsG2V12Y4NmQm9xsPVcTW/Y8HcOD6IFbs2WOJQ4WSoVMGPGF2SzYcHTVq6s5+abn+GVf33CsmV1BY/dfueLPPLYGyxevCJ/bNmyOv7z8Rxu/csLnDxl1zJHLyIiIlJIfzvuot7++4ss2HL7wtC7YePQC8QL2CwKvQHR4rU45xpgoUcbWTTxybOg7jfxHDOorm782cod3nn385LnWrGyni9nL2x0fGVdlqnT3mxmxCIiIiLNU/Dtgl69ZzprHbx/YXnD/2/vzsOcKu/+j7+/J7OxjuwgIKAsCsquLCqoSEGrdVcQqC0WrUX7+LO9Wm2fblr7U1uttmqrrT5qW9e6PmpF0boVVERRQNRSAQUUVJBFmDX380dOZk62mQxkJpnk87qudJKTc5L7zJnYD9/cS//TIrM3BBaYAOpCb4zAYwvescg0ZsH8mywLFxeH6N69I7+88gxqasIJz3ue0WvfTknb7lzqaQs1Q4SIiBSKyDSiLqu3fKTgm2e2r3yf7mefTJ+qYOg9ncXlB8aGXhdbpG10tgYAz+p2ijnGiAnLAwZ04+57vsPIkf048cRRlJYWx7xMSUkR5593dNJQ3KasmJ49OiZk8ZKSIqZPPaTR8xcRERFJRdaF/yEAACAASURBVME3j1T8Zw07xkyIrfT28yu9CVVdvz8vcRXcZHPzxvOs/hasGPs/d31ZFekTDHz7gil8c+6RdO3anpKSIoaP6Mtvr5/NQQfuy8UXTqW0pKhutoaysmIOHdOfqy4/g/KObWnTpoRQyKNNWTEHDu7JWacftue/HBERkdYmnOVbHtLgtnyxYQPbR42P6dN7Zb/TeKV8SNK+A87vNuA8g5AXCb/+fsExanVHBrsZhF3s4zhjxg6ou+95xhlnjOOMM8Yl7HfctOEMO6g3Cxau4MtdlRwxYRBjRvfHzLjvLxfw8qL3+fTTHRw4pBcjDulbF6ZFREQk+8ysL3AX0JNIVL7VOXeDmXUG7gP6A2uBM51zW/1jLgPOBWqB7zrnFrRkmxV884Bbv55PBo+i1+7PgPrQG12RLbKTq6/M+nV+Z5HQW8csJvzWHVpUX9WtC8QWfFS3J2bG2bMmpN32/fbrwry5kxO2l5YUMeWooWm/joiIiLS4GuB7zrk3zKwDsNTMngG+ATzrnLvKzC4FLgV+aGZDgRnAMGBfYKGZDXbO1bZUg9XVobXbsIEtww9tMPQmxNPo1xeBqm19V936kOs8wxX7K7jFq43rMOxH5c6d2tG1a4cMnJiIiEhhy/XBbc65j51zb/j3dwCrgN7AScCd/m53Aif7908C7nXOVTrn1gCrgRbtx6jg24rtXv0Bmw8cRZetkanBklZ6iZu2rO4+KQezWXRfzxL7Bgd3SpJ9j5168J6djIiIiOSarmb2euB2Xqodzaw/MAp4FejhnPsYIuEY6O7v1hv4KHDYen9bi1FXh1Zq/b+WwTFTYmZvuHK/U1jccXCjxxp+jwa/+0OSKXgjwvgLdieG3yEH9uK992Ln4u3cuR1nzRzf1FMRERGReLmxcttnzrmxje1kZu2BB4GLnXPbGxiTk+yJFj1LBd9WaOn9z9FjzhlJQm9gIFsjA8HMOQgbzoVxoVSF/8g+hGK3hkIeN98yl5deeJcHHniVit3VHH3MUE48aTTt25ft5dmJiIhIa2FmxURC79+ccw/5mzeZWS/n3Mdm1gvY7G9fD/QNHN4H2NhyrVXwbXXCH32UOvSmEO2VELMBwDkMw4UDk/rGLF5hkRwdN4vD1GmR7gxHTj6QIyfXrwQnIiIihcMipd3bgFXOuesCTz0GnANc5f98NLD9bjO7jsjgtkHAay3XYgXfVmXHO6vZPnpc46HXJe+eAPhLEltkCWJ/X3NWvxhFXGd2M4sMhjNHUXGIfTq149zzj8ngWYmIiEiiBpYyzR2HA3OA5Wa2zN/2IyKB934zOxf4EDgDwDm30szuB94hMiPE/Jac0QEUfFuPDRvYOTZunt4+p7C4Q5I+vXGht+5jEwpUcy0adg2SjGFL9lEbPLgnV113Nm3blu7pWYiIiEiecM69TOp1X6ekOOZK4Mpma1QjNKtDa7BhA9tGjaPX7s+BSOj9VTT0plhZJVrRTRZ6oyyyY9Ljg88ZYGFYt+YzhV4RERFptVTxzXFfLH+finGH0zMwT2809Nb13Q27usptdAnhmH69KaYlS/sLFP91LeU/6kRERCTTLOd7OrQ+qvjmsM+XvcOXYyckDb0xoh8Ms7jBaXF3klV3U/QFrp/7N7JPKOQxecpBTT8JERERkRyh4Jujlt73T3YfdgS9AwPZkoZeiITThhabCHKufmrAaFCOXXwtYcGLkpIi+vTtzLwLknbXERERkebgXHZveUhdHXLQlmWr6DHnNPpUbwVSh96YrgxNUNcNIv4wq/9RVFrM8NH9GD6qHwcM7M7YcQcQSjnfr4iIiEjuU/DNMVuWrWLXYYc3GHpj5+QNpNe4aczqwm18JTjaB9j8vQLPe54xdHhfzvvuVA4c2qKrCIqIiIg0KwXfHPLBwiWUHD8tNvT2OonFbQ+o28cFw61Z3by8CYEX6rtABJS1KaG6Jky79qXs/LKSMK7u24xQkcdRU4bx/Z+epOquiIhINrnIjEqSWQq+OWLVk4vocPIJiaG3/aBIkg2Hk/fhtRR9ew1IEl5PnTWBzl070KG8DSPGDmD5m+v46MPP6NqtI8NH9aNX706ZPTERERGRHKHgmwOqPlibOvRGhf3RZ9EwG632xndADwbh2uBSww4v5PHAXxdh/iwNnmdcddPXmTRlaHOfooiIiDRVng4wyyZ9n51l1WvW8dnQMQ2HXp+Lhtpo6E2m7kPiB96wq+vsayGP6qpaqipr2L2rii93VvKz791DOKwPloiIiOQ/Bd8sWv/yMjYNGcW+gWWIU4ZeSHvKMgvcIgdHwm9tVeJy2Lt3VfH+qo17egoiIiIirYa6OmTJljdXwTHHpFfphcDsDK7x8BsOQyiUuD3F+hW1NYmBWERERLJMX8hmnCq+WbDojgWJU5b1OIHF7Qam7s9TF3b3fNlgS3K1zfMYMkzTlomIiEj+U8W3hW1espz95s2kT00g9HY/gcVtB0FtODJ4LW4+3sQKr6PBAOwl//fMgME92bhhKxW7qykuCeF5HpddcSpFRUmqwyIiIpJVpsFtGafg24KqPlhL1cRJ9Kn5AgiE3naB7g3R0OtcYoA18+fm9er3jWcWGQQXfxzw+7+cxxuvfsAbr/yH8s7tOPb4EXTr0TFDZyciIiKS29TVoYV8umQFm4eMajj0psMLzuwQndoM9u3XhV/d+o3Evr2BELz9i10UFYV4750NPHLPq/zm5w+zavn6vTgrERERkdZDwbcF/HvBIionHhkbert9lcVtBybunGTgmkW3G/Xz9kZvZmAeXXqUM3rCIIqKQ/XBOPBaZvD80yv4+ffv5Z231/PF1i9Z9vpafvidO1n+5rrmOXERERHZc/H/n9/Stzyk4NvMPn7lLdqc8NXE0NtuIAnDNRsbtxbdPSH8Qvee5QAcNKJv0kO9kMdDd79CZUV1zPbKihr+dMMzTTwrERERkdZHwbcZufXrqT3yqBShl9jcWzddWfRxsmWIk//ryzM4efZEAOb/8HhKSmK7OxQXhzh19gQ+/3RH0uPX/HtTWucjIiIiLcQB4Szf8pCCbzN578lFbBhwSOrQC4ADF64PvY0F3xTKyooZdNC+APQf2INrbz+Xg0f3o7S0iG49y5l3yTTmXnQsZW1Kkh7fqUv7pp6eiIiISKujWR2awcpHX6L89K/Fhd7jY0Nv/NLCaYXe5NtLSotjHg8e1ptrb5ubsN9psyZw/13/iunuUFpWzNnnTmrwfERERETygYJvhr390PN0PuuUxNDbdmDsVGUQOztDcO7eFAPc9unani+2fIkLdDgvLglxzFdHpNW2s8+dRFVVDY/e9yrOQSjkcfa5k5j2tZF7dc4iIiKSWYbTPL7NQME3gz5Y+Fpi6O1yPIvbHFC/U/CP2LzkQTiOV+xx8RWncfDYAVwy5xYqdldRWVFNaVkxvfp2ZvZ3pqTVPs8z5s6fwux5k9m2dRedurTT4hUiIiJSMBR8M2TN80soOW5aYuhte4A/iC1a7SVSvi3yf/XR4BudqsyzmEFvAw/elx9dP5tefTsDcOeC7/Ovhe+waeNWDjiwF2MOH4SXYqW2VEpKirRwhYiISK5TxTfjFHwz4P1/vEzbE0+kT22S0Bvl6v4HvEDoDf6EhBXb1v57M917ldc9Likt5ug0uzaIiIiISD3N6rCX/vL9WxoPvUFeKGWXBiDhX3fh2jAbP/w8k03Omp07K3jowSX85tdP8OijS9m1qzLbTRIREZECoorvXnj2dw9x9PU/pE/tNsAPvZ2ns7jN/rE7RsNsXegldjBbzL6xD82Mdh3aZL7xLWzjhq3Mn38nlZXVVFbW8M9/ruKuu17m5pu/QY8e5Y2/gIiISKFRV4eMU8V3D933o9sYcsncJKH3gORL/kWrvM5BOP0/5GFj+tO5W4fmOIUW9dvrn2LHjgoqK2sAqKioZvu23dx0o1aNExERkZahiu8emD9sPpe997fkoTcqfnoyz/zFKvypy7DkVV+vfntRscd3f3FKy5xUMwqHHcveXBczDVt0+2uvfZClVomIiEihUcW3ib590AXphd7oz2jorXsuTEx/hvjqsPOfDjssDE8/+Hpzn1Kzi0xVnPxPrahIf4IiIiIJtGRxs1DqaIJv7vct/vvf98SG3k4pQi/EzM5Qr5GliMP1f2nV1bX86+kVe9Hi3GBmTJ58YELILS4OMeXYYVlqlYiIiBQadXVI0/kDz+OKjX9PEnr3T975PBh6kw5iSzG4LU67jq1/YBvARd+dypq1n/Lxxq2Ew5FT79+/K+eff0y2myYiIpKTtHJb5in4puGb/c7lig0PJg+9UQ2tvpZmyI3f3wxO/vrhe9n63NChQxtuvXUuy9/+iA8/+pz+/bsxbFhvrCm/FxEREZG9oODbiNnd53DVlv+NC73TEqcsg+QLUkQ1NfwCQ0f346gT8mexCjNj+Ij9GD5iv2w3RURERAqQgm8DZnedw1VfxIXe8q+wuGz/2CC7J19FBJcxjucZQ4b35Vd3zFNFVEREpFCpq0PGKfimMLvzHK7a9r/0CQdCb8djWVzaH2prEweu7W33Bp9XHGLWRVOZecExaYfeit1VfPH5Tjp370hJiS6piIiISDJKSUnM6jSbq7c/Hht6OxzL4pIBkUDrefXTj3lebMC1FPPzBiu8lnwyjfblbfnm94/j+Jnj02pnbW2Y2657isfvfw3PM8A461uTmPGtyaoUi4iItGpOFd9moOAbZ1anWVy9/YnE0Fs6oH6naLCNH8gWvF+3TLHVz89L8uWKS8qK+Pr/m87J5xxBqCiUdlv/+ofneOKBJVT5q6EB3PunFyjv1I7jTz+0CWctIiIikv80j29AJPQmqfTGhF7/Z2RVhvrtqQa0BcXv4h8zYtxATp07qUmhNxwO88hfF1FZUR2zvbKimvv+/ELaryMiIiJSKFTxBZxzzO40i6t3PEGf8HYgReiF+vCaqtKb8OIpNvrHeCHj4MP2b3LXhOqq2oTQG7X1851Nei0RERHJMQ51dWgGqvhCktBrXNnhWBYFQm/y/NrIH2RwejPPYh/790tKixk4rHeT21xSWkTXnuVJnzvgwF5Nfj0RERGRfFfQwTccDjOrfGZi6G03hcVF+4FzkX9wBQ+KDmYLhyPBN5xiMWsDQl4k8HrJ+wIXlxax38AejJw4sMltNzMu+OHxlJYVx7xsaVkx8753XJNfT0RERHJMOMu3PFSwXR1qamo4p8scrt75ZGLoLekf2SkcjoRWwMyLBNmgaOU2uGobkdkZdm7fDWFXP7gN8EIeI48YzJr3N2FmTDllDGfPPxYvfmq0NE04eiiX3zSHv/7hOTas+5wDhvRizvwpDN6DCrKIiIhIvivI4BsOhzmn82yu/vIfqUNvvPjQCynn7vU8wwt5hMMuEn59RcXGeT8+iX6De2boTGDEofsz4tAkq8iJiIiISIyCC77hcJg55TO5etdTaYdeC6Ux20IgBG//YlfCNoDasKP3gG571G4REREpLKbBbRlXUH18d+3czZyOM5oUeuumLHNxE0knm8osfl7fuD/Y4rIilr747l6ehYiIiIjsiYKp+IbDYeb1PIerdy2gjwuE3rbHsLi4X5I5d62uf2+dukUpvMRuDqmmIwtMf+bCsGXz9r07ERERESkMqvhmXEFUfD//dItf6Y0LvW2Org+9wT+uZKE3+lR0poZ0BarAzjmGjh3QyAEiIiIi0hzyPvhu+mQTF/U/PzH0lh0VmbIs1XRkyf6VZcbUM8cx6JC+jb6vmREqqS+ol7YpYeK0Q+g3KHMD20REREQkfXnd1WHZkhVcM/kXXFPxdGLoLe5Xv2OwC0OQ58WsqGae8fa/3ufMi49j3U8fpCq4cpqrX40tVBSic4+OTJsxnpeefIuS0mK+OnsiU884rFnOU0RERPKMI2ZmKMmMvA2+L//jdW4+9SquqXym4dAbFT9zQ5I+uy7s2LblSzp16cCQUf14f9k6KndX+/14jTbtSjHPOPy4Ecz90dfYp0t7Zl08PfMnJyIiIiJNlpfB9/E7F3L3t//INZVP08ftABoJvRBTsQXAYqu9UTXVNWzesIX/f99FLHl2JUueW8k+XTsw9cxx9Nyva3OcjoiIiBQcp8FtzSDvgu/l51zLu/ct4pqqZxoMvY5oodYPt+Fw/WwNnhd5Lj4MA57nsf+w3oRCHuO/cgjjv3JIS5yWiIiIiOylvAq+l8+4lncfSQy9v/QHshmRmRXqxPfpdQ5CodhKb1z4Le/cnmHjBjbals8/2carz64kFPIYd+ww9unaYW9OLSctfX0Nt9y0kA/XfU6Xru2Zc86RTP/qiGw3S0RERCSpvAm+3zniMr5Y8h7XVC+MDb3Fk1hMb3AuEnrNwLmUq7F5ntV/sxAtC/sbzDOOP+eIpF0ggh6/62VuveIRPM/DDG7+yd/5r2vO4phTDs3Q2WbfsjfX8dPL7qeysgaATZ9s48YbFrBrVyWnahCfiIjI3lNXh4zLi+nM5g6/hC+WvJs89Ib8qcfC4br5ei2+0utr36k9P/jDXNp2KKvf6OpvnhmTT244vG5c+xl/uuIRqitrqNxdRcWuKqoqa7jhB/fn1eIVt9/6z7rQG1VRUc1d//MStbUppogTERERyaJWH3xnDvwOu99dwzXVz8aG3qIj60NvkBkOkv4r6nfP/oijTjuMv624hn26d0x67IYPNjfYnhcff5PaJNOPmMGip95O55RahQ/XfZZ0e2VlNTt3VLRwa0REREQa16qD7+q31sK6jfw6IfQeweJQn8TV2CDlghWdupfTa0B3ALZv2cmunRWRbg6BW21tmL/f9EyDbaqtqcUleY9w2FFdVZPkiNap176dkm4vLg7Rvn1Z0udERESkCaIry2brlofM5diJmdl04AYgBPzZOXdVqn072z7ubWrpw04gGHoDlV6LW2LYX0I4pp9uKJQ4b68XOS6hN68Z5nk4g5LSYmqqagiVFFFTE6b9Pm05/PiRPPfw0tjFLXy99u/G1k93UFsTZvSRQ7jg56fQo0/ntH4v6QqHw/zxmid54oEl1NaECYU8pp0ymgt/fCJeii4eyaxZvYmbf7uAlW99SFmbEk44dSxfnzeZoqJI3+jXXlnNL37yYEx3h7KyYmbOnsisrx+R0XMSERFpSWa21Dk3NpttKC/r6Sb2mZPNJvDUf36T9d9DpuVU8DWzEPA+MBVYDywBZjrn3km2/3ALubeJVFdrMH4ZOoJFXh8w6oNtdBCbH3j994l9Ic+LneHBDEJe7HRn0d9T9HHg9YLHlbYtpUe/rmz6aAuVwfDrxe7veUaHTu247bnLaNexTWO/mrT95icPsfCxNxO2T55+CJddfWZar7H5k23MO/sP7N5VVbettLSI8UcO4ce/PK1u24svrOKPNy7k083bad++jBmzJnLmzPGNDv4TERHJZTkRfEt7uom9Z2ezCTy15tqs/x4yLde6OhwGrHbOfeCcqwLuBU5KtXNJIPRewXgWWe/kOwaXHU4WypIEWIvfHn8/2es4R2VFNR+v/ZRpM8bjFfm/3iS7hsOOil2VLHxoSfI274Evd1bw7OPLkj734tMr2LF9d1qv89C9ryR0y6isrGHxi++xedO2um2TJh/E3Q9cxD+evZSHHr+Es86eoNArIiIiOSvXKr6nA9Odc9/yH88BxjnnLgzscx5wnv/wYGBFizdUmltXIPnoOWmtdE3zk65r/tE1jejnnOuWzQao4ts8cm0e32Tlwphk7py7FbgVwMxez7cLIrqu+UjXND/puuYfXdNc4sBpetBMy7WuDuuB4BxkfYCNWWqLiIiIiOSRXKv4LgEGmdkAYAMwAzg7u00SERERyYIc6o6aL3Iq+DrnaszsQmABkenMbnfOrWzgkFtbpmXSwnRd84+uaX7Sdc0/uqaS13JqcJuIiIiIQHlpDzexV3a/9H5q3fUa3CYiIiIizcwBYRUnMy3XBreJiIiIiDSLVht8zWy6mb1nZqvN7NJst0f2jJmtNbPlZrbMzF73t3U2s2fM7N/+z07Zbqc0zMxuN7PNZrYisC3ldTSzy/zP7ntmNi07rZaGpLimPzezDf7ndZmZHR94Ttc0x5lZXzP7p5mtMrOVZvZf/nZ9VnOVc9m95aFWGXz9pY1vAo4DhgIzzWxodlsle+Fo59zIQD+iS4FnnXODgGf9x5Lb7gCmx21Leh39z+oMYJh/zM3+Z1pyyx0kXlOA3/qf15HOuSdB17QVqQG+55w7CBgPzPevnT6rUjBaZfCliUsbS6tzEnCnf/9O4OQstkXS4Jx7EdgStznVdTwJuNc5V+mcWwOsJvKZlhyS4pqmomvaCjjnPnbOveHf3wGsAnqjz6oUkNYafHsDHwUer/e3SevjgKfNbKm/HDVAD+fcxxD5DzXQPWutk72R6jrq89u6XWhmb/tdIaJfieuatjJm1h8YBbyKPqu5S10dMq61Bt9GlzaWVuNw59xoIt1W5pvZpGw3SJqdPr+t1x+AA4CRwMfAtf52XdNWxMzaAw8CFzvntje0a5Jtuq7SqrXW4KuljfOEc26j/3Mz8DCRr9E2mVkvAP/n5uy1UPZCquuoz28r5Zzb5Jyrdc6FgT9R/7W3rmkrYWbFRELv35xzD/mb9VnNSVmu9qrim1PqljY2sxIine8fy3KbpInMrJ2ZdYjeB74CrCByLc/xdzsHeDQ7LZS9lOo6PgbMMLNSf3nyQcBrWWifNFE0HPlOIfJ5BV3TVsHMDLgNWOWcuy7wlD6rUjBa5QIWe7C0seSmHsDDkf8WUwTc7Zx7ysyWAPeb2bnAh8AZWWyjpMHM7gGOArqa2XrgZ8BVJLmOzrmVZnY/8A6RUebznXO1WWm4pJTimh5lZiOJfN29FjgfdE1bkcOBOcByM1vmb/sR+qxKAdGSxSIiIiI5pry4u5vYNbt1n6c+uTnvlixurV0dRERERESaRMFXRERERApCq+zjKyIiIpL31B0141TxFREREZGCoIqviIiISC5SxTfjVPEVkbSZ2Y/NbKW/ZO0yMxvnb/+zmQ3dw9fsb2YrGt8z5pha//1XmtlbZnaJmXn+c2PN7HdNfL21Zta1KcdkipndYWan7+0+IiLSOFV8RSQtZjYBOAEY7Zyr9INiCYBz7lst3JzdzrmRfru6A3cD5cDPnHOvA6+3cHtERKQVUMVXRNLVC/jMOVcJ4Jz7LLrktJk9b2Zj/fs7zexKvxL7ipn18Lcf4D9eYmaXm9nO+Dcws5CZ/drf520zO7+xRvnLXZ8HXGgRR5nZ4/7rdTazR/zXesXMhvvbu5jZ02b2ppndAligDbPN7DW/onyLmYWStHOtmf3KzBab2etmNtrMFpjZf8zs2/4+5p/LCjNbbmZnBbbfaGbvmNkTQPfA644xsxfMbKn/er3i31tECoWDcJZveUjBV0TS9TTQ18zeN7ObzWxyiv3aAa8450YALwLz/O03ADc45w4FNqY49lxgm7/PocA8f6nUBjnnPiDy37PucU/9AnjTOTecyApVd/nbfwa87JwbRWRZ1v0AzOwg4CzgcL+iXAvMSvG2HznnJgAvAXcApwPjgcv9508FRgIjgGOBX/tB9hRgCHAIkd/NRP+9i4HfA6c758YAtwNXNnbuIiKSPnV1EJG0OOd2mtkY4EjgaOA+M7vUOXdH3K5VwOP+/aXAVP/+BOBk//7dwG+SvM1XgOGB/qzlwCBgTRpNtCTbjgBO89v/nF/pLQcmEQmmOOeeMLOt/v5TgDHAEn8p7TbA5hTv95j/cznQ3jm3A9hhZhVmto//3vf4S7xuMrMXiIT5SYHtG83sOf91hgAHA8/47x0CPk7jvEUkHzlwLpztVuQdBV8RSZsf1p4Hnjez5cA5RKqdQdWufi30Wpr23xkDLnLOLWhKu8xsf/+9NgMHxb1ePBf3M/7973TOXZbG21b6P8OB+9HHRSneO74N8e+90q8ii4hIM1BXBxFJi5kNMbNBgU0jgXVNeIlX8KuvwIwU+ywALvC/9sfMBptZu0ba1Q34I3BjIHBHvYjfVcHMjiLSR3l73PbjgE7+/s8Cp/sD5qJ9hPulfYaJ732W32+5G5FK72v+9hn+9l5EqucA7wHd/EGEmFmxmQ3bw/cWEZEkVPEVkXS1B37vf41fA6wmMqgsXRcDfzWz7wFPANuS7PNnoD/whkW+7/+U+u4RQW3MbBlQ7LflL8B1Sfb7OfA/ZvY2sItIhRoifX/vMbM3gBeADwGcc++Y2X8DT/vTo1UD82lawI96mEj3jreIVHh/4Jz7xMweBo4h0kXiff/9cc5V+V08fud3xygCrgdW7sF7i0g+yNMBZtlkiQUSEZHMM7O2RKYhc2Y2A5jpnDsp2+0SEclF5UXd3ISOyf7d33IWbP3zUufc2Kw2IsNU8RWRljIGuNGv5H4BzM1ye0REcpuKkxmn4CsiLcI59xKRqb1ERESyQoPbRERERKQgqOIrIiIikmucg7Dm8c00VXxFREREpCCo4isiIiKSizS4LeNU8RURERGRgqDgKyIiIiIFQV0dRERERHKQ0+C2jFPFV0REREQKgiq+IiIiIjnHaXBbM1DFV0REREQKgoKviIiIiBQEdXUQERERyTUOCKurQ6ap4isiIiIiBUHBV0REREQKgro6iIiIiOQip3l8M00VXxEREREpCKr4ioiIiOQYBzgNbss4VXxFREREpCAo+IqIiIhIQVBXBxEREZFc45wGtzUDVXxFREREpCCo4isiIiKSgzS4LfNU8RURERGRgqDgKyIiIiJ7xMymm9l7ZrbazC7Ndnsao64OIiIiIrkoxwe3mVkIuAmYCqwHlpjZY865d7LbstRU8RURERGRPXEYsNo594Fzrgq4Fzgpy21qkCq+IiIiIjlmB1sXLHR/75rlZpSZ2euBx7c6524NPO4NfBR4vB4Y1yIt20MKviIiIiI5xjk3PdttSIMl2ZbTU1GoD11f8QAAAJJJREFUq4OIiIiI7In1QN/A4z7Axiy1JS0KviIiIiKyJ5YAg8xsgJmVADOAx7Lcpgapq4OIiIiINJlzrsbMLgQWACHgdufcyiw3q0HmXE53xRARERERyQh1dRARERGRgqDgKyIiIiIFQcFXRERERAqCgq+IiIiIFAQFXxEREREpCAq+IiIiIlIQFHxFREREpCD8H2ypKu85OZUqAAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# create data for a y=x line\n", - "p_ac_max = p_acs.max().max()\n", - "yxline = np.arange(0, p_ac_max)\n", - "\n", - "fig = plt.figure(figsize=(12,12))\n", - "ax = fig.add_subplot(111, aspect='equal')\n", - "sc = ax.scatter(p_acs['sd'], p_acs['sapm'], c=poa_irrad.poa_global, alpha=1) \n", - "ax.plot(yxline, yxline, 'r', linewidth=3)\n", - "ax.set_xlim(0, None)\n", - "ax.set_ylim(0, None)\n", - "ax.set_xlabel('Single Diode model')\n", - "ax.set_ylabel('Sandia model')\n", - "fig.colorbar(sc, label='POA Global (W/m**2)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can change the value of color value ``c`` to see the sensitivity of model accuracy to measured meterological conditions. It can be useful to define a simple plotting function for this kind of exploratory analysis." - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "def sapm_sd_scatter(c_data, label=None, **kwargs):\n", - " \"\"\"Display a scatter plot of SAPM p_ac vs. single diode p_ac.\n", - " \n", - " You need to re-execute this cell if you re-run the p_ac calculation.\n", - " \n", - " Parameters\n", - " ----------\n", - " c_data : array-like\n", - " Determines the color of each point on the scatter plot.\n", - " Must be same length as p_acs.\n", - " \n", - " kwargs passed to ``scatter``.\n", - " \n", - " Returns\n", - " -------\n", - " tuple of fig, ax objects\n", - " \"\"\"\n", - " \n", - " fig = plt.figure(figsize=(12,12))\n", - " ax = fig.add_subplot(111, aspect='equal')\n", - " sc = ax.scatter(p_acs['sd'], p_acs['sapm'], c=c_data, alpha=1, **kwargs) \n", - " ax.plot(yxline, yxline, 'r', linewidth=3)\n", - " ax.set_xlim(0, None)\n", - " ax.set_ylim(0, None)\n", - " ax.set_xlabel('Single diode model power (W)')\n", - " ax.set_ylabel('Sandia model power (W)')\n", - " fig.colorbar(sc, label='{}'.format(label), shrink=0.75)\n", - " \n", - " return fig, ax" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", 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\n", 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gzh7Sl+fvOI7cdbVs39mBHQu60GlzBKdvmPL+PqzHkLbLcuugEZw+qG+yutLmWavV/QqpIiIircTHizdibcMW47f/axrjKlbFj+f2LuCHJ4wjsDjCKush7E2j39G5jDmhK6++OJ8uGyIYA5dceRxXX3tyEnog0kAhVUREpJXwBXxYty6kXm3XMLZibfzcvO79eWjsedx8wdukp9VgjGVPSScuO+rPZKd04rJrTmBfaRVZOWn4/YoHzYHbxuektu1xZBERkVYgFIny4HtzuXHW+xSf1ZMrsjczloaAurBdD+695DtcftkssrMq8flieL0u+blFLNo5AWstfr+X/I7tFFCbibrHojpN+mru9DtRRESkBauJRDjzkWcpKa0i5rXcsm8R15Uuj59fYjrwo29dyTEjt+E4bqP3ejyWWncPpbUf0D44LNFNF/lcCqkiIiItVEWkitvnP03KsK10BS59chnjp8+Nn5/bsz+3XXwdtT4vWbmr8Xrdw67hGENNdGcCWy1fjBZOte3ei4iItFB7ayq5fN7P+cRuweO1jH1xAeNfaQioc3rVBdSw1wfWsLm4A+GI5/ALGZeswKAEtlzki1FIFRERaUFcGyPs1nDdzGeJUIvjwJXPLuSq5xbH68w9oi8Tr722LqBS9/jHFR/3pao2SDTa8NXvEKRT6qmk+3okuhvyX+ixqLrdLyIi0iKsWb2dx194laLiElL7VrCzbwY5Xe1hAXXp0d358aTvUrPHR2plw/sjUR+PvnYe5/T+gP6DdxCNejhpwM30yrw0Cb0R+e8UUkVERJq596av4Xe/fYNo2AJpVBSmkL7A8L3s97jq/w4KqKO6c/fPL6ByVwom1vgaFqiKBZn52ghm/2MkQwaXM+43VyS0H/LlxGzb3oJKIVVERKQZi0VdHnl4CtEwUL9vpo05XLNuOmO3LYzXWzqqO/f84nxqPT4qy4MEDhpFtQDG4kQsviqLybHcfNVRieyGyJemkCoiItKMFRaWEo00HhYdu3UGY7e/Hz9eenR37v3F+ZTH0tizLYsBvXYQSw2yY30HsOB6wYla2n8UYcCQEm67rg8Dj/huorsiX4LFtIi9TJuSQqqIiEgzlpGZQizW8KjTuoD6Xvx42ZE9uf7Gq8ioqqVr9j4GDysGLBX+NGqMn2KbglNr6J2Ty6N3jaRX9kCMCSahJyJfjkKqiIhIM5adncZRw3qwYvkGvrdxZqOAWjqsPYNe8XPk/FJSu+zHjRlszFBTFeCYcDkvnvs+e2qzcTJ/Ql72RUnshXwVbhvfJ1UhVUREpJn76f+7kHmnnsXZ2+fEywoHdqDTa+nstkGWre1F+uIY6blVZKeGeOTbU8lNi4BJIa/99TjpCqjS8iikioiINHPp99/H2UsbAmp0dBqdXkin2uvnl0uOp7qDwRovse3tmDRhPq9FuzMmdRzdMs/Rrf0WyoLmpCa7ASIiInK4ytpKtpQU0+7319P94YaAuvfYHGqe6MYn+9vx2NrhzN/dFTwQyrecGtpGr077cZ1T6ZZ5Eca07S2MpGVTSBUREWlGIm6EXy96gC3uOr79xDIu+Ovq+Lk1x3biT78/mQ9X9aBwd27jN1q49vIPyWt3M0PbXaOA2sJZjPZJTXYDREREBMrCZSwqWcCMwvfZuDXMmY8UccHCgwLqcZ148oGTsAGHwb13sHNvNjHX0+gavbt8i2wFVGklFFJFRESS7IOypTy5+QksloiNcc30D7ho4Yfx8/N6FPDQ9WeRHygFwLWG7Mwq9u7LBMDEoMseLzldfpWU9kvTcDUnVURERJKltvIVnt78FhFbNyp64dMfMOaZgwNqfyaffx3uesgfVhdSHReocMAFTxjSt1tuP/9byWi+SJNRSBUREUmwikgVK/atJceupab8aWojvcELY576gDFPNwTUFUd1Z/IJ1xH2+qC2bkN/ayFW68H/fhqdAYxLWnYtvUaUJ6cz0iSshZj2SRUREZFEmb5rAU9uegUT9dDroyoWlZ5Kz5O38+2nljcKqKuP7cxvvn8e4YU+AFLahfATw++41GxMIZAexrqGToN3MfDUbYTNoGR1SaRJKKSKiIgkSFHNbp7c9Aq1sQh7/p3HtrJ8QmkOk/+yotEt/tXHduYPvz6N4iUdADAel+whe1n0UV+u77Ga0uN20Pm4wnh9nwnSNUUhtXUxuLTtBXBtexxZREQkgWbtWUrMuoR3B4iW+Ym4Xm5e/B8ueuaDeJ1Vx3bmD785lZ3FuZTvTCOQV03e8cWUlaezsyyL3608ltKqhg36fSZA97QhdE7pn4wuiTQZjaSKiIg0sZL9Vfx56mLeWbGJkNMRf2YtrrX8uuQ5zpq3Kl5v07F53D3+u2xfkE91ZZCsgWW077eP/YUZ7N/UDvLBOrBrVw96D6jF63g5MusshmWfo22nWhmL5qQqpIqIiDSh8qoQl/32JcqraojEXCBIpMLPj7a+xlnTGgJq8ehMPni8K3cEZ/HAm+ewriJITWkqW2dmEgt7wVqcWgs+6JDuMKHv48nrlCREW38satvuvYiISBN7Ze6H7K8J1QfUOjfOn8r3ps2PHxePzmTu432JBjwUWQ+/OWsaYKgtD9YFVMA4UL9LFcd01RiTtH76XS4iItKEpq76mHAkFj+euGgKE5dMjR8fCKhuoG7cyAIdMyrJT6tgd1UGAI4nRk5uOcWedM4fsIYTukxOaB8k8SwGV49FFRERkaZQVlvN+vAuwIPBHBZQtx2Tw+LHe8YDKkCKsfgdl/TcKkpqU/H6o3Tts4tOefu4Kr+Y07pPID9leBJ6I5JYCqkiIiJN5N3CtUQ7R/Du8jBxQeOAuqB3P7b+ORP8hgNjqB5gmL+Gwmgq3UcW0n1kIVjwewLc1mcC3dOG4XWCn/Fp0tq09TmpCqkiIiLfkIUbtvPPxasIR2OcO2wAFb5aImkxbtr0DhOXvBevN7d3Ab+6/0wGRHbR3Skh11tND281vYjhq/Zz38JRuAU1OD6XgswBXNrtGrqkdEtiz0QSTyFVRETka7LW8qO/vM20jRuJWQvWMH/DdgZ1z+O2ae9z6zvvx+vOHtqXSXd9lyM6FGPxUBTO5eK0dSws7cxry3rw4Xt98XgD+GZ5+OO9l9K7W24SeybJYgFXW1CJiIjI1zH5yZeYn7eO4MkxcCFSHKRmQwbHPvcMNy04KKAe2Zfb77yU4fl7uLj9ZvJ8IQYFyikOpXHvlmNw8HLJqIGcelwBxw/vjc/nSWKvRJJLIVVERORrmPvxOhZ1W4PnwDeqB3ydQkx8+z0mLJjdUK+gH9+/8ntEd/kY0XsPI4NlOMbyj539+NOOIcRw8MQMk645idzs9OR0RpoRQ6yNPxZVIVVERORreHbD+4ftOn7Dy3MY//q8+PH8Lv25c9S1ZL5vCLUzPJo/jEd3HEWjDBKFXukpCqgi9RRSRUREvoJINEYoEuWTcAmkNZSPf3EO4186KKB27c8PTx1H2Osj1NHiDVsy3/dTcWot1qEu4Frw7Qe3YEfC+yHNk+akKqSKiIh8KTW1EX71ynu8u/xjXGtx+rs4PQDP4QF1XvcCbj97HLUBH04ETNgQaWeweAjO9xHLjWL9Fu9+h+yhJXictn17V+RgCqkiIiJfwg//8jZLNnxCOFr/FKnNqQS6hbjhpdmMf7khoC4Y2IcfHDOOqnY+rBew4MRg7MAPeGvVIEKuB1NStzAqpWclaV3CnJB7VBJ6JM2V5qSKiIjIF7Jj7z4Wb9hOJOo2FIY8jPvNEsbPawionxybx6OTz2bPPkPqJouJOLg+cH2WiqCfKbe/wNR1fXi8cDhOXg2pWZDrz2Vin0uS0CuR5kkhVURE5DPY2jnYqufBLYXgaby+qi9h1200vlX3qNPpDe85OZVOz2QyuriY+dXdqOoXJf0jL56YQyxomL6xD/eeMpsxQ7YxcNjlrAl1ontqR4ZnD8Bj2vYcRGlgrdGc1GQ3QEREpDlyK/8MlY8CNfXH67mge4CXfd+lujYAHAioDY86XdW9F4OfdYj4vJRH/GDAOhDLAO9+MC54TN0orDFe+qfnMyD31IT3TaQlaNsRXURE5FNYtwIq/8CBgArgECY3UM3Fx6/BGntYQF3UsYC3bzwJgg4uhjeL+zZcz2vrruG6nFewob4wAv5RCemPtEwx6zTpq7nTSKqIiMghikrnkuM6BA75Hk/xxhhdsI3gH3cxccm0ePmcvgX8atiV/P7M/1Ad9XLHqhMpCtXvd2rAU+VgsHTIrOSWY5cBQci4E+O0S1ynRFoYhVQREZGDPLV8Cf9eO5+/nhQ57H6j60LWH4qY9P6meNmsgQX86JRrGJCzjwe3jGT+qo6ETP3Xawx8+xw8IchK8/DmxH0EfJdgUr+L8Q1OYK+kpbGA2wxW9xtjbgfGU9ekVcA4a20oEZ+tkCoiIlJve/k+Hlw4j9pYO7ZXZtA3cx9ex8bPu78vY8Cf98aPZw0s4KYrxmFDfpZGOhKcZnE6uHjyXcDgL3HwlRp8lTFe+Mm1pOTmJKFXIl+NMaYLcBswyFpbY4x5BbgceC4Rn6+QKiIiUm/6lgMjpIbr557LUydMoXdGOVHXkPLQbvwPNwTUOX36c9uYcRDyYwDrsYRyXNK2WLLWQKA8ghOq2+lyYP/O9OiogCpfhmku80a9QIoxJgKkAkWJ/GAREZE2L+q6bNlfhmvrRk531qQzZvp36JW+jxvfmsFl//ooXndO7/5MumIsEdcfLzMOpBTsJ2uJF3/US6Q2hs/vwefzcvtPLkh4f6Rlq3ssapPf7s81xiw96Pgpa+1T8TZYW2iMuR/YTt0qwqnW2qmHXqSpKKSKiEibt3HfXq6Y9n9UhsJE3Lpb9QeMeWURl01ZED+e27M/t998OaagCpYFIHJgtMti8qJk35XLpXuOZv1HxfTok8e5Y4aT3T49sR0S+WL2WmtHftZJY0w2cCHQC9gH/MMYc5W19q+JaJxCqoiItGk7Pinh+ldeZl+gmiN7FHFGz008uPJEDJZb3pnOpCkz4nWXZvTh1znfJlgUpbo/eHLCxHYGwELKLksfp5Y/n3wjGb5gEnskrUUs+TuFng5ssdbuATDGvAYcDyikioiINJVwqJqnHnuKxUv24tmbSjcXegwN853b13Bq583s/2WMEf/ZEK+/NKMP9/S6jKjrxb/RpfpkiwlbvFUQLLP4ay2Ddw1WQJXWZDtwrDEmlbrb/acBSz//Ld8chVQREWlz3Oo3iJX8L9d+O8b133HZtC2He+8/hY9Wd+alv4/ixl3vEnhuf7z+/lEZ3BO6jIjjxRpLLKduQkD6Ch8mXDeH1eIQ3ZefpB5Ja2MxiZiT+vltsHaRMeZVYDkQBVYAT33+u745SR9HFhERSSQb/hD2/y8BX4jUlAiBQIyC3nv55V3TiUS85D61i8CDDQE1enKQDff2JuLUj+t4oeZYF+/sNEy44WvUesCXH0h0d0SalLX2bmvtAGvtEdbaq621tYn6bI2kiohIm2KrnwMaf896vZZuncu5rextxmxqWCQVPTlI6eP5TH1uIPhdYh6HktM82DVppOxq+Ap1DdgA9B3cMUG9kLbAbeNjiQqpIiLStsR2UrfBT2OeB/cyZtW6+HHkpCDlT+fzEXlsODNI2ogylld0BQwp2zxEUiFtJxgXqvMg0sPhjL59E9cPkVZOIVVERNqWwGhsZCWGSLzI3F9C4NHS+HH1SQF2Pd2e5yuHsyPaDpsOe6pSoapujmAs3cWT4qeki4vHMTjGcPeJp5Kbmprw7kjrZC3EkjwnNdkUUkVEpFWz4RXYyscgthm8g4kGzse1YbyAYwzm/hLMAw0BteKkANuebk8kYCgqzyAaM4QiPgpLsxtd99ycPnQcmkPA4+X8gv70aJeV4J6JtG4KqSIi0mrZ2lnYsklAqK4gVgihaWyPhGnncch5sBzfg2Xx+gcCatjrYfXeruwuz2BPZTrF+7JwDzyiMgYpuz107dmO2449IfGdkjYj2av7k00hVUREWiVrLaGyuwkcCKh1pXiNpZPXS/Xv9+B7uCJ+puKkAOsfy8daw/bN+Tz353PY0zVIxQC3roIDuBDYY0ir8HL+CYMT2h+RtkYhVUREWh1rLf+z8E3u6Vl88BNO458A37kAACAASURBVNIeKCPjkIC64ck83vh1DzYvyKRoZ3six3vIqnJJKTZU9TTgM6RVevFWGO64/BR6d26fwB5JW1O3T6pW94uIiLQqC3Zu5/UtG7mrm4c0b7TROXN/CeaQW/zrn8xn9e6OvB4+jprL2+HdFyZrxhaC5YayK3sSyffw2PEXYV0YNag7Wekpie6SSJujkCoiIq3OW1vXUhWN8sIng7im+xpSPTGAwxZJlZ8YZPXjnZhRNpCXV51A7Sg/eAzR3CC7uqWR884nsG8fqUO7cPqIAoxp23MEJbFin3YboA1RSBURkVbHmLq7/A9uHEGGJ8x3umzA88BeAg81BNS5Q/vw/QnfJbLUQ6wwjdoUH3gaQoENeCg9txsZO8qYdOTxCqgiCaaQKiIirUpRTRlzSpcCXmLW4f+tO4HK31Zw82sNG/XP6V3ALzcPJfP2rYTzstk5LvszHxQ+9MxOXDdoZGIaL1LPotX9CqkiItLiRdwQi0teZ3X5DHZWl9M9M4Oymq5UVqUw+V/Tufn1mfG6c3oXcFfXs0jdUownEqPq7I4Y9zMuHDScP7izRlFFkkAhVUREWqyqSBEflT3P+n3vEnJdKm0Av9fHgKwq8lMqGPhAMRNenxuvP6dXAT/rdjrpy4qwfqi8LI+qggx8FS424OI6DcOpXhOlY85+Tu90chJ6JqLV/QqpIiLSIu0Pb2XKtrFEbQivY0kFgraWXdFMcHxc9JcPOOlvG+L1FwzrxU/7XcKoU1YRuwBsvxSm7+4Ce8AELNcOnc3f1h2PBWKuw9D87dxxwgDaB3KT1keRtkwhVUREWpxYzOWdD3+GaVeDp36wyXHAwaVduIaCJ7Yw+vFN8foLhvfix1d9j/KNKeSeGMO4sHRhZ2I7UiAA/mCEs/us4rSea9hV1Y7MQA3tgoZBuTcnqYci4Gp1v4iISMtRsb+G916dQODEdUQ+ZbXT0U9uYeifiuLHC4b34seTL2X/iixS7T58uGQ5UTZ91A0naIgFLAM67ATA53HpmlmGwU+qbwipfj1VSpLDWoi18YVTbXuyg4iItDj/+cefOOPUpQSMPezc4EcKGfrYQQG1oA8/OvVa9i3PozrHcOmJqxiTvpMRNSFiroPrWBwP/PS0K0nzHwk4GHzkpJ5H//znEtcpETmMRlJFRKTFsDZE/x5v4PfHKIjW8mE4Jb7h+eBHCjni0eJ43fkD+zL+8vGE/T5SI2F+O3QWF43aRHXYy/8sOgqMJZLl0rGbh6GdRwFv4NowBg/GeJLUQ5EGWjglIiLSArg178D+nzFwYA2OA719ESqtw8ZIgCMeKWTgozvjded178/ES64jipeh6bt58YI3iFoPoYiHZxYMY+ba3lQOiOKmWYpDLq61OMbgGH8SeygiB1NIFRGRZs9GN0L5T4AQ3vpBTmPgyEAtQx4pwvtow5OkFnQq4AenjyNqvASqLdu25TF29aW0b1fFtj3tcL0Wd2QFrj8IgGNMG1+eIs2RxWgz/2Q3QERE5L+x1a8AkcPKzf0leB9sCKizB/TjzlHXEUr1kZlWzbB+WygsziMtvYLc7BIG5a8mrWMlv1pyPgBe43Bmt37arF+kGVJIFRGR5s8tAWKNisz9JZgHGgLqrCMKmDDxatJX+AhnAFEvJx+7koPzZyTm8K9Nw/A6Br/jJz81jV8cd2Zi+iDyJWkLKhERkWbOBE7BhmYA1XXHnxZQb7kaszdAKBesF2ocL9M+GMIJgz4mLRAGwOO4jMjfw7c6nc5RecM4sXMvPE7bXpwi0lwppIqISPMXPIto5TM4sY147i88JKD2Y8Kkq4mE/fjCDtEUiKZbXJ+hqjbI/e9cxPnDljKi12a8jp+jO6RzetdvY4zCqTRfFjQnNdkNEBEROSDqxpha/CHvFn9AwOPjoq5HkxXN5r4l0/mgagSPvLuJ055vCKiLRvTkf396AbmBCnZubU84Fziwf6q1hBwPkZiXd1aMZFTPKvplnc3gnOsVUEVaAIVUERFpFmLWZfKyZ1lTvp2aWN0iqTk711JbGCS0JZ1bZs/mtLkr4/UXjujJz391PgG/i3XD5HctY+f23IYLGsOu6nYA+D2p9Ag+wZG5XRPaJ5Gvo63vk9q2ey8iIs3GvN1rWL1vUzygAljH4utcw63zpnDL3Knx8llD+zHh9iuJ+OvGWowDaZkh6m6S1vGaKHvL60JqzLpkBoKJ6YiIfCM0kioiIkm3p6qKVzc/S8gNHHZu/EtzuGHWvPjxnIICbvzB94h6PUDVZ1zREo158YQNHmPonJlJQV77pmm8SFOw2idVIVVERJLGWsv/e3saM/++HFuQASPDcNATSce/OIfxLzcE1Lm9+nPLFdcQ9rv4PZGDL0Ss2ktawBCLeonUxkhz/eCDvPQ0nr70Iu2FKtLCKKSKiEjS/G3BCmY/sRxvFNxIgOjwhpA6/sU5jH+pcUC99TvjqMkBg0u7tJr6MxYMBPe6DBj8CSfmjWRst+/wYVEx2SkpDOnUQQFVWhyL9klVSBURkYT7eE0hD/z8DbZt2UPAgutzwPXhm5JK5Kxqxr88h/H/d3hArU3x4uRXkpEWJie1Gqh7pKnXcYmleonYKLP3LOXmvldwUp9eSeufiHx9CqkiIpJQJXsquPPmF6iprttg3wBOxMVUhGG9n+vfXcK1GxsC6ryOfbj9xMuwbi2eDlE8RQEqYql0PbYcU7/dlA0bnMy6J1LFrEvERvEePG9ApAVq63NStbpfREQS6p3XlhKNHvKIU8DELNdumMa1G2fEyxd7OnLfzqFkvryWWK2fWGEqbkkAwg6uW/cFbiOAC05aXWDtnJJHiufwBVgi0rJoJFVERBJqx7YSIuHYYeVXF77P1cWz4sez+xRwd/QYnKIQey/ujZsZwADWWPBbasv8+FOj+FJcrM/i4OBzvNzc94oE9kakaeiJUwqpIiKSYIOO7MbCOeupDTWszr/q0IDarz8Trx6HZ0MZ1QXt8MYCeMJgsVgHjD/Grrmd+P2lZ1KUt4l1+7fQPbUjF3Y5ja6pHZLRLRH5himkiohIQp15/lG88vw8opEYsZh7eEAt6M+NY8dRG/BhR+QR3OvWhVMDbqqLr2sVqdPT8NUY/vnmYp765fgk9kak6WgkVUREpAmVh0K8/vFHbC3fx/COnTmrTz/++MIEnv3TDLo990cuPXQE9cpxRGM+fJWW1L2W9OFlVHc0dbc/9/pInZGGqan78t65u+YzPlWkZbNoM3+FVBERaTJr9+7hsn/+nagbI1QT5V97P+QXFVPIr/Vw2Vt/59KdB20z1bM/t597HZ79vrp1+S7k9y6hw+BdRGMO4bCXD8t7kRJ26hZaGZdBfbsmq2si0sQUUkVEpMn8YOp/qAjXYiKQtQ5MzMXFMGb5f7j6oIC6sH0fJl98LWHHC1iMY8nuXk6HY3ZhDPi8Lh4nTK/uu9i7pjMpJRa/z8MNl30reZ0TaWLazF9ERKQJlNZUs6msBIBAmaWqq4v1Gia/PY0JH0yL11sa6M59/jPI3FqKe5ofMOR0Lyc9v4qDHxTlOJCXt59qbydGDO3ALVedRZ8eeQnulYgkikKqiIg0CY+p24rb9bhUd6/bw3TyW1O5ecH0eJ0FnQv4edrZUOXiWR0jdXSE7KP3YnzwaU8yNRhmPfIDPI62+ZZWzmrhlP4vFxGRb5QNf4Bbeh0Z+0/nuZNm4ARccGDyW9O4/a2GgDq3VwF3nHotsajBeCxk+Ng/vT3bftuP6h0puG7j67quYUT2SAVUkTZC/6eLiMg3xtYuwJaOhfBccHdT7VaT4okw+Y3GAXXm4AJuHD8WqmJ4wlG8gRgn3rgO4xhcv4dNhZ3wO1E8xMBaPDh0Te3EhH5XJbF3IolzYDP/pnw1d7rdLyIi3xhbcR8Qih8HnSg3vf4ek956P142c3ABE24ZSyBi6dNuM7XDHcb8YCWZnWuZO3M4GUfs46xTlpIWDLE7nEllLMARWaMZ0+3HOEZjKyJthUKqiIh8bdvK9jH1442M67EBx0BRdRrvFPZh0NNrmfTGR/F6MwcXMOHWscT8DmcctYLSkakcl7GNnPRqamt9HH/OGvofuzk+H7VToByPSeG43NMVUKXNaQmjnU1JIVVERL6WvyxaxkOz52PdKMdeksbKqkze3t6f0U+vZ/RbDQF19hH9uHnS94h6HUZ22Ua3rDIK97SjX9ouADwey+mn96S4upiYrduk32OC5KUMIz9lRFL6JiLJo5AqIiJf2dbSMh6aPQ/X1jD+9OmsiPrxp1Zx17vvcORbhfF6a0d15LVfDeME72a6tyslM1BDRY2fDz/sg7/EcMGApeyrOp4L+v6abZXvsrn8DSwuvTMvoEfGOZhPW+ov0orpiVMKqSIi8jVMXb+RmGs58cg15Kfvx+dxGfxIIUc8VhyvM2tQATdefTVne1ZzbMdNWAspsQhPzruIcNTPom39WFvYhb5DOjLBOPTMOIeeGecksVci0hwopIqIyJe2eX8pu6orqYlFABjWdVtDQH20IaAWfasdt191OSEbYNOefEZlbWHR1r5M+2QIoagfgKj1UBpNJxZNSldEmi2rkVQREZEvZuXyDdx++2OEi6rwVIeoOC2X9qdl4FoOC6jFozOZ9Vg/ahd78URdtm7vxG9D51BZnIn1Nb6uMXBsdr8E90ZEmjOFVBER+ULWrNrKuAf/TvSIrphBFutxSF1RSGh3CbnTKznir40D6uw/9aUokkV1lZ8enfYSDBgKqzKxXguHPJPcWMPY/qMS3COR5s2lbY+kaj8PERH5QiY9+S+i2Sng82ADXvA6VB/VmZuXLOTSvy6P1yv6VibTHx1ApRPkrRcK6PO31QzpvQNvShRnkx9jwNDwOKmAx8PVQ48iLy09Gd0SkWZKI6kiIvJffbxrM6UmBh5Po/KJy6ZxXWlDQF1xdFf+dMeJlC0JsvtPUYIf76bH4x6s66FiTSbUeLi012B22mqWFhbSLhjkuuEjuHbYsER3SaRZs1b7pDZZSDXGPAOcD+y21h5RX3YPcAOwp77aT621/64/9xPgeiAG3Gatfbep2iYiIl/Ou9tfwJCGPahs4sIp3LRoavx4wYhe/Pinl5D+Uin+rRV07A85d3vwdvKw+8NcwuszCPT3cMfpo8lNT0t8J0SkRWnKkdTngD8CLxxS/pC19v6DC4wxg4DLgcFAZ2C6MabAWhtrwvaJiMgXUBMOUxFchuMfjVv/p/JhAXV4L+68+xLCjo+ayn44R1WTflQpFUWwd2YO+6rTGXp6kLu/fZUCqsgXpNX9TcRaO9sY0/MLVr8Q+D9rbS2wxRizERgFLGii5omIyH+xuaSUn/x7Gh8WFnH1+S4jT1zH4pmDmDB/Gjctbgioc4b04Wf3XEytx0vVjhSi3RzYnkb19rowOmJ4J37/4PcwRjPMROSLS8afGLcaY8YCS4E7rLVlQBdg4UF1dtSXHcYYMwGYANC9e/cmbqqISNtUEarl0hf+zv5QCAsU7c6mW9+dXPKvxZy5eE283sqjuzDph5fh97lUbM8gVBugapCluqOlw6K6tcnFxTUKqCJfmp44lejV/Y8DfYCjgGLggfryT/uvYD+lDGvtU9bakdbakXl5eU3TShGRNu711WsJx6JYwDEuR+dtYvQfN3Dm8w0B9ePj8hn3w6uxKYZQtZ9QbaDuhMdQm20ItTc4jmFA/07J6YSItGgJ/auttXbXgZ+NMU8Db9cf7gC6HVS1K1CUwKaJiEg9ayN4IzO4ov9K1pbkUuVEOOapLQx8Iv5HOItH9GD896/El2ZJcaLsKcxsfA0PhNobcqo8jL3y+ER3QaRV0JzUBDLGdLLWHtjt+WJgdf3PbwIvG2MepG7hVD9gcSLbJiIiUFH9b/z7f8wlPcPQA8IxL9HflpL1WENA3TU6nWm/7c/xbKFPoJTzsrYwZtP1ja5jYtArP5v7bx9Dj+65ie6GSItn0RZUTbkF1d+Ak4FcY8wO4G7gZGPMUdT9u98K3AhgrV1jjHkF+AiIArdoZb+ISOJYG2VvyW34wlPxGoOp23Ef34O7MI+VxuvtOTGdFU92Y1igkBF8Qm9vDWnWkhWooSTUsBl/SoqfZyZeSXZKSjK6IyKtQFOu7r/iU4r/8jn17wPua6r2iIjIZ3PLf8bW/e8yLOjB1A/emPtLMA8cHFDTWPZkN9yAA1h8WLKdCDVRH/tCKXXDDwbap6TwxLkXKqCKfB22bkP/tkyPRRURaeNqwsW88OHH3P3MpfHbi4cGVHtyKsVPd8YEwMGS64QZ7K8kGvPw8tKj8RV5MKG6VbCn9uzNyM6fukGLiMgXpj1BRETasJVl2/j+kqepqR0Ix8Ca6hyGPrEe58GGgOqelEr06U4ckQ79bS3VNoyLBWt4YcVInl9+DNF0gw3WDfvM/WRbsroj0qq4n7r5UduhkCoi0kYV7SrlxsVPYv0W/HVl638ZY9gLDQE1emIahY/0w6106BSowu+DdiaFqoiH/2zpx2OrT4A0iKXa+GaCWUHd5heRr08hVUSkDSqpreDy+Q9jUxomvY1/cQ6XvbQkflw4uANPnH0+r8/pTUZpjMkdl/GtY7ZTHfLyctEAXl4/BPyWmJ/45LEUr48bho1McG9EWh+LtqBSSBURaYPuXPpXwsFIfPRz/ItzGP/SvPj5hQN7879dxlFcHqA6zaG2ncvjr4ziqb+OwnosRZe4xHrU4JQHcCJ+gl4v4ViMcUcO46L+A5PUKxFpTRRSRUTaCOtW40Y3UB5NY11VYXz087CAOrwXD597ERWbfFR3rEuxXidGzG/whOtu63vzIoRtANpFOSIzj58NPZP+7XNpFwwmo2sirZAei6rV/SIibUBt5RNU7BpGVckVePadwS97vEuqEz4soC4Y0YuH7jiXcJaP3aM84NR9SVoM3iqLdSDrpFJq8cXfsz9Ww6guXRVQReQbpZFUEZFWLlLzLrUVD4GtAeru8B+Rtoen3/g7fV4qjNdbMKIXd19/CY8OmcmYku9A/ShO0BPBH4sRzvHg6R3Gc8J+YntzAPAYw3Edeia6SyJtQlvfJ1UhVUSklQtXPhEPqAdkPFRG7mP748cLh/fi5/8zhkcHzOTOD0/m7G6b+bCkAyneCGW1QUr2p5N1RhkdB+xl6e4eAHiNQ5rPz62DvpXQ/ohI26CQKiLSyrnu7kbHgQfKCTzYEFDXHdOZRb87koFVVVwy92Iqw34+jHU86AKQXgI3j7mUrrmZPGnmU1S9n+M79GTiwOPplJqZqK6ItCla3S8iIq1aqR1Mht2B19jDAmrp6Cy6PpNO+ZYMXtvWH1zwl0EkDXDACUNqIQSyfVxQMJAUn4/jdXtfRBJAIVVEpBWx1rJ0RyGb9pbSN7c9I7p25ollvbh1qJech/YSeKghoG4+Po95Dw7jXH8Rr24vwFtpSSk2+MsNlrq5q9aAk+Lw+m3XkOLzfebnisg3y1qNpCqkioi0EhWhWq5++VW2lJbh2igOUXq2q+Cynh+w8u40znl2c7zux8d25Be/OI9v+XYzbsOp+PJqyNxlMFV+wpkubooHT9RQ0DufJ6+6mPZpaUnsmYi0RQqpIiKtxH3TZ7J+z14irltf4mFDWTp503Zwxqur4vWWj+rOfb84h1qvj6eLjgAM+KC2X4TqPC8mBi9ecAlDcjuRGQgkpS8igvZJTXYDRETkm/HWRx8fFFDrTJw6nTNeXR4/Xj6qG7/+1dnU+rzsrk7nwCOnrAsx62B94AbgzgVTyPD7E9l8EZFGFFJFRFqBfVXvEHUjjcomTZ/Cbe9NjR+HT0pj41/yuLjbci7usKLRKI0FakP1c04NlIaqWVWyMxFNF5HPUDcvtelezZ1CqohIC7a/OsSi9VNYuuUnHNlpK46pG0k9NKDak1PZ/GQ/bNDB44DPxOgc2IeNQSxqqNiXinUbvhI8xqEyEk54f0REDtCcVBGRFsh1Lb/+53u8umAVMeuCvRZfRphgZpgbp87g5vdmxOvOOaIvw5/w8GZNT3qk7wDAxhzYmEJoZxbVnWPgbTz3LWZdhuV1TmifRKQxre4XEZEW57n3lvLqglW4rsXUzyuNVASYOPM/3Dy3IaAuPLIXU+47liUro+zqHaVHfbnHcdn+ST7ecvBmG6Ip1H0juBD0efnlsWeS4tWWUyLJYjEKqclugIiIfHnPvb8U1208qeymhVO4adG0+PG+E4Pcdvn3SJ/pI+u8nZyfvpKYa4jFHKYsHI7Z7SFQ5RJY7iWUbwnnuvTMyeGh88YwKCc/0V0SEWnkc0OqMeY44CpgNNAJqAFWA+8Af7XWljd5C0VEpJGqUIiK6hoOrMwHmLhwCjctapiDWn5ikF/ddQ4Zm8PkfXs3PYN7qYoG2LElj2XvDqJsSzsyYzFCuR6sNaTsMmSX+Xn87ovpndM+Cb0SkUO1gLVNTeozQ6ox5j9AEfAGcB+wGwgCBcApwBvGmAettW8moqEiIlLnsRm/oluuZdueHODwgLrmqM689osjmfL2CGLtvfS0e9hvU9lfm4qba6jYlobHWrxdDMYToKY2QkGPfH509an07qKAKiLNw+eNpF5trd17SFklsLz+9YAxJrfJWiYiIo3URMPcsfQFVnprcQoM7LVMXPBuo4A6p28Bz//uGNa935NQRgomZtmyqSMDBn8C1C3EyD/e4fKTTmfMMcNxHAdrLca07blvIs2OHov6uVtQXWWMGWmM+cwg+ykhVkREmsiv17zGyv1bieIQzjTcsuP1RgF1wYC+PPPYcWzZ1Znd3mxwDNY6lOzJbLiIA7ssnHv0UThO3VeAAqqINEefN5LaFXgEGGCMWQnMB+YBC6y1pYlonIhIW7exYgmzdj9PWbiY2qghy+3MXpPG+BfnMP7VefF6y7I6cn+vEXw8v4CwL6XRNXyBaN0PLoRrvFSVpLK/upbcTK2dFWnW2vik1M8bJf0hgDHGD4wEjgeuA542xuyz1g5KTBNFRNqmj/fP583C3xO1tQBkpcAxnTfT6yf7uOrfDQF14ZE9+fmHwwhPdUndv5PwOb3i5xwnRvfOu3FDBk8MPprRj6DfT3Z6ymGfJyLSnHyRv0anAJlAu/pXEbCqKRslIiLw3q4/xwPqASc/+TGj/70xfrzg/7N33/FVlufjxz/X85yRnOwQRsIMK2wQFFAUodRV1Nqi1qooooIDAe1Qa61of/rVukete9WJC+sCERQQBwoOkCVLVlhJyM5Zz/374xxOgigckezr/Xqdhud+1n3hq4cr9xyYy3Wjjsf+pgBxDL4VRRSd1AkAMZCYbwiuT2JnaSLFHZMhnMzk3w3DtnTDQaUauuY+JnV/s/sfAXoDpcBnRLr77zLGFNVR3ZRSqtkyxrA7uG2vsqP//R3HPFgjQe3bmav//Fvcf86PlYllIyEwLkjYCb4tgrPLS7ujSrEzOnPtiUMZ1a9rncWhlGrcRCQdeAzoQ2QAwnhjzCd18e79taR2ALzAd8AWYDOwuy4qpZRSzZ2IkGSnUx6OfO3+MEFd2DGPa446Cc+UfKxdkTGnxmXh75kNNmAgoThMRpLhnv93Ol179q2PMJRSv4BpGGNS7wVmGmNOjw4B9dXVi3+yv8cYcyJwBHBHtOhPwOci8p6I3FgXlVNKqeZme1kZG4t3Y4xhWMs/Egpb+ySoS3p1ZOpvLsB6qwTZ7eC4bYwl+Lu2orxfFgbwFkOr7DRefHiKJqhKqYMiIqnAcOBxAGNMwBhTZw2W+x2TaowxwDIR2Q0URz8nA4OBG2q/ekop1TxsLinm0rdfZWVBYWTd0jC0rUzhqs8KOOaN6gT1y94dmXjMJbh2GSQvl/J+YaQyQKhlMsEMLyntfBzXtyPnHNafw3Jy6jEipdQvYaiTMalZIvJFjeNHjDGP1DjuDOwEnhSR/sBiYIoxpry2Kwb7H5M6mciM/mFAkOjyU8AT6MQppZQ6ZMKOwxkvP86OijAOFiBgw+/nv8qpMz+NXbewQx6TR14AFeDbXIUrCB4g7PVSaTy4Cw0JFQH+9dcTsazmPeFCKRWXXcaYw/dz3gUMBK4wxnwmIvcC1wDX10Xl9teS2gl4BbjSGJO/n+uUUkodJGMM9z75GCV+Pw6eWPmUd2Yxeeb7seP5XfO4dOx4Am43hAzlOS7azSnDCgJisScl9QdDVFYFSPJ56zYQpdShZYD6n92/GdhsjPksevwKkSS1TuxvDZJ/GGNe2V+CKiLJtVAnpZRqFsKOww1Tn2DN9x/i1Cif8s4sps6cHTte2DGPy8+KJqgALsHxCsVdPBgbyjpUJ7euBPAlelBKqV/KGLMN2CQiedGiUcDyunr//pLUN0TkThEZLiJJewpFpLOIXCgis4ATa7+KSinVNN386Cw+fmwO7QIFsbFnP0xQv+ndgSknX4Df697rXmMLZR3cbP5VIv4MO1Locug1KlW3OVWqiTCmdj9xugJ4Lrr76ADgltqK94f2t+PUKBH5DTARGCYiGUAIWAW8DZwfzbCVUkr9TO9NX8j8K5+BqhDr3rQ5etoGBjy1hkkz58SuWdSnM9NOPQt/0I2x977fYAimWBgRkrYbJC1E4pAKLjnl93UciVKqKTPGfEVk59E6d6DZ/e8A79RRXZRSqlnYvHor94z7N1IVWd/0+xVJ3HbvWwxcuCV2zZqBbXjv8sHs2uYj5AlCwA0/aCE1FuAIpR2ErGFFnNl5OH3Tu9RlKEqp2tQw1kmtN/Fsi6qUUuoQeuXedwj6Q7HjsebbvRLUzblpfDO+PS37FtGqyzZKV7ZBdnowlgHZM5/CYAUFKwAJiTZ/yh3HcZ171kM0SilVOzRJVUqpOrLgq3U88tpCtr6+CCs6IGys+ZbzWBG75mtvS3Zf14pfn7SNNVVV/K+8O1UhF4nlkXGoyenlDB22gmDAxaLF3Sl3fDiOcFjrDvUVllKqVkhdrJPaoGmSqpRSdeCdhcu59en3CZQF8GWkFp9W+QAAIABJREFUYHYUc1546V4J6hfSmtTZCeR2KSFsID+QzMb8TOxKCzsA4QQIVrhJ9AVwe0JkZpYR9qdyQs+uZCUn7eftSqlGqZl39+9vdj8iYonIsrqqjFJKNUVVIT+PffIavq7bsdMDODktOE9W7JWgfk4b7u03khZdQpFJUY7Nv1cMpaTMR8JOGwlHrktJqwCis3ODPs45oj83n3J8fYSllFK16kATpxwR+VpEOhhjNtZVpZRSqqlYW7aaB9bcTtbRfrBAxDDq2jWcGareuG+RK4cbe41hzOR1GANFQS9/++p4Vm5uQ/JWG9svGMCyw/TosxHBopUvi/cu/Bu2Zf/0y5VSjZepk21RG7R4uvuzgW9FZBEQ26vVGHNqrdVKKaWagJAT4j9r78TvVOKKrq8/+uFvGD2nRoLaojs3DDqbxLQQvx6+HL+xeeCDYax7ryOJnW1clRYGgzs1wKDh68hq6ScnsQvndrxKE1SlVJMWT5J6Y63XQimlmqDVZcsJm3DsePTD3zD6keoE9Ys2XbjjyDEcc/h3nPm7RSQkBigOJfDlkk4UDQBXwODx2wzp3p67LjiFMqcAt+UhxZ1RH+EopepaMx+TesAk1RgzT0Q6At2MMe+LiA/QX9+VUuonhIOrqNx9PbtL1oLpBrj2SVCXDOrApePP5vnRz5NkBxEMm/xp3LXmaDblJhLIMGS6ishrm8j9I09DRMikdf0FpZRSdeyASaqIXAxMADKBLkBb4CEi+7cqpZSqYXv5Gv6x6HYW7O6FTR5Hd1jPyY/snaAuG5rD1IlnU1CUxth5f6RHh3wCxmbt5lYUFKQQyjSAodTjpjKhiJWl6+mZ2rn+glJK1RMdk3oglwODgc8AjDHfiUirWq2VUko1QlvK13Hm3McpCrYjjEUYi6H3rGH0s3snqDdfP5rNqzOxqqBgUwYLt2QCBiMQygpGrxSqAm5EhKJAcb3Eo5RS9SmeJNVvjAlIdDs+EXHR7EdJKKXU3r7Z8RLrtj9ORXgI4ejqfpNe+oDzp38Wu+bbI3K45MLz2LoqkxZfBfFtd9jd1UMw2cLKDlCWbNcYTGVwu8KEnBDdUjrVeTxKqQagmWdb8SSp80Tkb0CiiBwHXAa8WbvVUkqpxqO05CFM2ZNs9edQ5USyzEkvfcAV0z+MXbN+aCv+c8lotm3LInljiIxVkW1RW39RRSANnOGllG3P2uu5OZll/LrNkbT06kQppVTzs9/F/KOuAXYCS4GJwDvA32uzUkop1ViEQ+uZtWk6vRKL6O4rJtEK75OgLjysM1/dl8eK0mxwLCrbuQm7wXFB2A0FJ4FVLti7BQkCGHJSA/xtwO+Z2PnM+gpNKVXfTC1/Grh4WlJHAM8ZYx6t5boopVSjYozhr/Nf58PtR3HKiJcZnrGFK19+n7HTP41ds2BAF278+6nclvoJGytTESL/NhT29kBqCHtAFe1bl5D/UVsSy90kJ7j479Q/0i0z6yffq5RSzUE8Seo44CERKQAWRD8fGWOKarNiSinVkFUFglz64Kt8s8wAGczN6sxx7y5i7POrY9csHNCFx2/5Fdd3+oIrVo6I7CATPWcdFqBVx0KqChPY+lE7QuVuMIY+Wa01QVVKRVs7dXb/fhljzgMQkRzgdODfQE489yqlVFM17fGZLP12KxL9R2T73wK4viiMnQ+NSKLNQ8l0Lyji4uW/xvgtTNhiT5pauTaZTWtT9nqmLRYXnTS0zmJQSqnaIiL3s59BBcaYyQd6RjzrpJ4LHAP0BXYBDxBpTVVKqWbHMYa735vP+ytXgheotJmwZBbjvpobu2b90NbMunIwZ/u+Y/q3PSAshAq82Bgct8FJC4HbwrszMsnKMoLLtjjryP4M7dahniJTSjU0phGMG92PL6I/hwG9gJeix2cAi+N5QDytofcAa4ks4P+BMWbDz6ujUko1Hb998lG2Z36PfbwDAhc9vpCLv6r+vX1hhzz+dMnpHP1lMRPDuZTsTMH4LTDgqvRTlR2ZrxrKcgilOySVuzmrW3/OGtSfLq1b1FdYSil1SBljngYQkXHASGNMMHr8EPBePM844Ox+Y0wWMB5IAG4WkUUi8t+DrbRSSjVG64uL6P/QPexovR4r0UFccPHzC7j4teoE9eO2eUz547nc1P9Tvg5m8enmDpiADSLgQOtPg3i3O7HrbbfQsl0yfztppCaoSql9NY3Z/TlAzbFNydGyAzpgkioiqUAHoCPQCUgDnP3do5RSTUnYcRg9/WmSfDtjuxRe9N8FXPTcwtg1H+d245oTz+OO0+ZQudXL2lY+Yv8KhAyp64N4Cx1yPjS4KhxEDL0yW/P8iWexZ7MUpZRqgm4FvhSRp0TkKWAJcEs8N8bT3f9Rjc8DxpjNB1tLpZRqjN79fhVWuJys1BJ22Mn7JKifDMzlujFnct/xb/OJvxXTPZ1pk7eTok3p+Eu8ZH0ZIH1lMHZ9ztYqxo8dwbi8kfURjlKqsWgCs/uNMU+KyLvAkGjRNcaYbfHcG8/s/n4AIpJCo1j6VSmlDq3VRbs4vPV6umRto82Du7nohRoJ6qBc/vr3MUxq+RXdcwq4Z11vnGhza3inB98uh4yVQYzjEE50gWOTUpymCapSqlmQSFfRr4HOxpibRKSDiAw2xiw60L3xzO7vA/wXyIy+aydwvjFm2S+tuFJKNWSllX5mfLaML5ZuIjkDzv9gIR1e2B07/8mgXP563RjSTIgzuqwmZIQRqVtYX5VK6YYUktYGabHUjwmECHsEJ8mD7Ybxo4bXY1RKqcZCmkbT4INEhon+CrgJKAVeBY440I3xdPc/AlxljPkAQERGRMuOOsjKKqVUg2ZMkO+2Pc078z/kd/2XM6ptmN03VdDh2eoEddHATtx43Skc13IlU3JXABaCQQxYb7jJnufHMaWQaBFsmQa2hdiGzPRUTjq+b/0Fp5RqHBrJ1qVxGGKMGSgiXwIYY4pExBPPjfEkqUl7EtTowz8UkaSDrKhSSjVoxhhWbxtHwfbvmXD0LhJsB7mjgJxnqxfqLz3Wi+/RAHckvIoPSLF9AARDNgvv7IJnqQds8CS6yBlRyOZ1iQSrEhg96jDGjz0Gn89bT9EppVSdC4qITTTlFpGWxDkBP54kdZ2IXE+kyx/gXGD9wdRSKaUaul1lH3PzwgweGroklqDKndUJanBEAoWPZpKUICQKuAXCjiFkbJ5d2J+vwu3JoCxybcDNYrpy1ZWjOH1gHxLd7voKSynV6EiTmDgF3Ae8DrQWkZuJ7F7693hujCdJHQ/cCLxGZPGV+cAFB1dPpZRq2G77+DNaefyEkX0SVDPCR+lD2ST7qva6J2gsbvtyCG9+OAB8hrDXwgo4BDKF1kMzGDvksLoOQymlGgRjzHMishgYRSSPPM0YsyKee+OZ3V8ETBaRNMAxxpT+otoqpVQD4zgh1m+8B294On/I8ZDkDpJw1w7k7r0T1KpH2/L6FwPo2201XbJ3AeDGAizmzuwEgGAIJQihlhZFpyZxU+8hP/JGpZSKQ9MYkwqQBVREl6NqKSK5xpgD9srHM7v/COAJorsFiEgxMN4YE9e+q0op1dAt/foc5hUa/rNqDC4JM/HNufR6tyB23ozwYZ7MJmy5eHVRbxasbsedF03HxsIK+XhxVXuqtrugBTguYfNpHsi0uaDXIH7fuXc9RqaUUvVLRG4ADgfygCcBN/AsMOxA98bT3f84cJkxZkH0ZUdHX9LvYCuslFINgeM43HvfVZQOdHhx1SCqwi6mvDOHSTPnxK4JH+uj8tH2lDgJ3PDsKHYUp7CrJImyTSmsW5PCQrsVy5amEmjlww4ZLJfwu5w+XH3KSLISdY6pUuoXaBotqb8DDiOy0xTGmK3RtfcPKJ4ktXRPghp9+Eciol3+SqlG7/EZ/0fViFV88M1AKsNuprwzi6kzZ8fOL+jZnaVX9+Hlub3ZuTaFhF02AImeEI+Ge7ErN4HyRYZlJZ1xAZ50+OCmSSR6dYKUUkpFBYwxRkT2zO6P+7f3eJLURSLyMPACkZz+D8CHIjIQwBiz5CAqrJRS9Sro+NnR8WMsj1DsT9gnQZ3XI48pE8/hhO2b2bUyFW9xZJat1xWif6cNfPNnm4pS4fvTexPO9ZC90OH3k4/QBFUpdeg0jZbU6dE8Ml1ELiYyIf/ReG6MJ0kdEP15ww/KjyLy1/ereGuplFINRWFgC44DFvCn2e9wzsxPY+fm9chjwsXjSPSGWbwym8TyMAleh2DYpn3uTpZOr8RaKmy5vAvhNA/pyw2eBJsrhx9bfwEppVQDZIy5Q0SOA0qA7sA/jDGzD3AbEN/sft1gWinVpFT6gyxbVYLtFY7+92qOeXlN7FwkQT0fK0HIrqyg8+BNdGm/neKCJJKTy5i5tj9+fyLFF7XD29ZD2mJICbt54o7zsKRJrGmolGoIDE1lnVSApUAikaiWxntTPC2pSinVJFQGg9z+zoe8suQbLFu4acVWjnmxOkFdPKAD110yhvSqKkrzU9nkz6Ks2Mux/ZaTl7aFh249kq3Z2VRd1JrU9Ap6r8/g3AuGM/Ko7iQmxLXLn1JKNSsichHwD2AukXVS7xeRm4wxTxzoXk1SlVLNwudbtjB2xnSqfAHoBFNnzObU/30ZO7/myCzevb0nqet2syrUkUS/BUAoaNM5vIO5j7VlXWpXQskGsQ0tnDAPTD2fzHSdwa+Uqh3SNMak/gU4zBhTACAiLYCPiSxvul+apCqlmrxyf4DxT79MVU4ALJj6+mym/q96mamPc7vxlzPOJH9dEo6xIMng2AYrCO3NNh69vDeftB9CVS8bKzlEG5+Lt/9wnbaeKqXUgW0Gaq4KVQpsiufGn0xSReT3+7vRGPNaXFVTSql6FAyHufTex/G2KqFUvJEEdUZ1gjqvT3euGHMeTsCKJKgQGTVlGewQ0LmCucmjCCVFxoa1N5m88YexmqAqpWpf02hJ3QJ8JiJvEInot0RWjroKwBhz10/duL+W1FP2c84AmqQqpRq8uUuWc9KR7/DlmiO48vX3mPLG3Ni5eX27M+GKschON6m5JZT7kzDGQgy0KKuiy4nrKM7PJGWjTYLXJiUxgeeuPZu0hIR6jEgppRqVtdHPHm9Efx5wQf+fTFKNMRf8wkoppVS9chyHzwsfJr9FGrd8/AqnvFE9qXRe3+5MmDwWv8uNDwMpYRIIEvK76JGdT6cBBSTZyQyzT2GzXUnf3Db8ZnBPfNqCqpRScTPG3LjnzyJiAcnGmJJ47j3gmFQRaQ3cAuQYY04SkV7AkcaYxw+2wkopVZuMU0H5zn9x1SsFeIYU8ZtHlzL6seoE9fNBHZkwcSx+txv84O5ZDoCr1GFS98+oTIdeCRUc2+4ykvofXV9hKKVUoycizwOXAGFgMZAmIncZY24/0L1WHM9/CpgF5ESPVwNTD66qSilVu0r8frZtPofHXtlAuEc5Jz26lNGPVCeo3x6ZzZP3DMNvXLjKwZ0SJCExiADZr1QwruNKrmq5khPT/PgSjqq/QJRSzZ6Y2v3UkV7RltPTgHeADsDYeG6MJ0nNMsZMBxwAY0yISDaslFINytId+Vz87vXkB7cy6/Ou/O6FL/ZJUB++81icRKGdqwJvahUZaeVgwCy28fgs/vb1SLBykMyniPRMKaWU+gXcIuImkqS+YYwJEueUsHiWoCqPrmllAERkKFB8sDVVSqnasK1yK/euu54W7fz8tySXM5d8yMlL901QQ16bRBPGXRTC5ziYzTaJC8OEwx425mWwYVM6jH4QsTRBVUrVs6ax49TDwAbga2C+iHQkskXqAcWTpF4F/A/oIiILgZbA6QdXT6WUOvQc43DPd/+H2+0HgV8/tJzRP5GgmpDwK9923AkZvP91F3AMxR0F47JADCFvuIn8u6CUUvXPGHMfcN+eYxHZCIyM594DJqnGmCUiciyQR2Q7q1XRplqllGoQ1pZ9R2WoFBEY/fA3e3Xxf9GxC/++YiTuUIBQgYfz2q1meFY+27pnMGdJF8DCrgTHY/C2rCIl04et3fxKqfpmaCrrpO7FGGOAUDzXHsxi/t1FRBfzV0rVu8LKCq7/YA6z1q0mbPpw7dy3GD2jRgvq0GymTxzGgMIA7d27OW7QGpISg5SHXKx1J+PvEiRhbWRJKTtg+P0J8zgy98H6CkcppfbWBJPUnyOexfxbAUcBe1bAHgl8iC7mr5SqR44x/OHVl/i+eDdhA1PeeY8JM+fFzn97ZDb/uWUEJ6Zt5PiWW3G5It/24TBUOTbvFnYkkBvEu9aNIHg8QaqK0jlmWJf6CkkppVQNB1zMX0TeIrJ8QH70OBv4d91UTyml9uU4hmtmvMuagkKwYMo7s5g6c3bs/OKBHXjy/4ZRWZTIc7cfQctLP+OwAdsAWL6qJVfnH0llgjvyDSjEWivSk3L2fZlSStWTOlwm6pDbT488QFw98vFMnOq0J0GN2g50j+M+pZSqFX96/m3eXr8aUvdNUOf1yOMfU35L2vpK/I+kQ9DmHzf+CrcrDAIBx2bj5ZGZUVIhSHSWlGUbTh4Y19J9SimlDuwX98jHk6R+KCKzgBeItDecBXzwc2uqlFKHwnfb5jB7xSrELUx5dxZTZ+2doE4cfz7ttlSyvafg6Qe+xZFzwZCNsaCiMziJAmHwfefC7QkiluG0sw2d0wbWU1RKKfUjGnFL6qHokY9ndv8kEfkdMDxa9Igx5vWDq7JSSh2coBPm+k//w6triwl2dzF1+vtMnfV+7Py8HnlMuGgcIdxUrbMY2GYHXwzLInGxHbsm5BN2nChIudC73WZ8/cFyG47vN5g/5p5fH2EppVRTd9A98vG0pAJ8TGS5AAMs+nl1U0qpX27qgjeYubGEsHExdcZspr4zJ3ZuXo88Jlw4DsfvJmMtBINuilanYwZBKM2DhA3GEqoyLcxmN3m+HfjbuynMyGBIi26ck3suIro4qlKqgWnELak1HHSP/AGTVBE5E7idyPgBAe4Xkb8YY1456OoqpdTPsOz7rczc8B1hsZn6+mymzqhOUOf36M6UU8djF7hI3Q5WdPU9MeDaYIMIxiU4FlRmWtghw9XDZ/Nc6EJObjeEE3MO0wRVKaVqSbRH/vfAMdGiuHvk42lJvQ44whizA0BEWgLvA5qkKqVqXUXRHD5Z8gheqw8TXpu3V4I6r293Jk4YS8IOSMyvTlC97iA5eTvJfzOynJQj4HjA0yrItJGz6NlxEP/Juqw+wlFKqbiIadyz+2uKzuT/2UuXxpOkWnsS1KgCQLdjUUrVOqfkDlzlT3HiAA8VU3cx5X9zY+fm9e3OhMvPobVTRJbtosDJwI8LrydEXodttPVU8HnQxnggmCBcf/nrDOy+FW/CMNIy763HqJRSqvmItqLeRmSWv0Q/xhiTeqB740lSZ9YYSwDwB+Ddg6yrUkrFxYS3QsVTuFwBsm7ZzpT/fRk7N69vdyZMHkvAsWjx/GYee2oZ73+TS2FZIgNyt3F4523MXtuFZ9u4scIGjwnxbcsMtlYdy4Xtbq3HqJRS6mcwTWIo0r+AU4wxK37ujfHM7v+LiIwBhhHJfnV2v1KqVhljKCt7lpJwFal37iLlP8Wxc/N6dWPCFefCZj/tntlIUriK9KQgpx+5OnZNVdDFih1ZOC6Dp8qhy2kb+D7Uis4J/eojHKWUas62H0yCCnHO7jfGvCois/dcLyKZxpjCg3mhUkrtj+M4LNp8FWWVc+n70A5S7imNnfuc1ty2vA/tL/kmMlbLBW3PDOF3LLyWA0DYAX/YxavLe5KdW0Dbw7fhSQ/gkgRGtDqhnqJSSqmD0DTGpH4hIi8BMwD/nsJDsuOUiEwEbgIqAYfqTQQ7H2xtlVLqx7y29jOu+XgOIdOaKa+35NczlsbOlRzj5Z61gwhttxAHxANWMqw8vR1vFDiMzvwer4T5dFM7bpk3DPHadD9uOyETJDepO2e1P59MT4t6jE4ppZqlVKACOL5GmeEQ7Tj1Z6C3MWbXwdVNKaUObO6mFVz10QcQXWZqyozqSVLFwxP47oFWHLcwwPy3POzc7CZxsEX6H2y2uV3cvnkgt28eiDFQ+XEmuAyzLx1Pu9aZGGN0iSmlVKPUFGb379l56mDEk6SuJZIBK6VUrbliwVsgsu86qH27sezmbI7wbOTb1dlU/MVL+5RKAMJGKCz0xa41juDPCDPUtKBd60wATVCVUqoeiMhfjTH/EpH7+ZGBC8aYyQd6RjxJ6rXAxyLyGXuPJTjgw5VSKh6Ld22iPOTsk6BGZvGfy9myCBHDyq/akTRqFyQbwgjbKlKoDHkAMA4ECjy086bw6ISx9RWKUkodOo27JXXPZKkvDvYB8SSpDwNzgaVExqQqpdQhs6p4O+Pef46pr73P1Dd+mKCOxe9x0TlhJ0/f/msCATepaSGy3UUU+xP5tiIbCwcLQ45dyuXDL2BUp0HaeqqUUvWvi4gcATxnjAkdzAPiSVJDxpirDubhSim1P8YYLn1jBhc//QGT5/5Igup2kVwVYPqVoxDHos0xu1lT2JK15a2wMGR7d3NM5hqyE6s4ovU1dE49vB6jUUqpQ6jx7zjVDrgX6CEi3wAfAwuBT+JdISqenaM+EJEJIpItIpl7PgdfZ6WUinj562Wc9sxrTJ77XqxsXp/uTLjiXPwuF+4dYbIfC5GR4ufiixeTlCZUvdkKs8uNg8UWfwYzdx3NyZ3epHPqKfUYiVJKqZqMMX82xhwFtAH+BhQC44FlIrI8nmfE05J6dvTntTXfjS5BpZQ6SKUBP9vLSii55lomz6lOUOd3y+OSc8YRKrFpf99SEjZV4k50+OP/28JRw8u45f9GIo7gfJCK9ZtCJEkIOMIXhfkc21p/d1ZKNTGNuyV1j0Qiy1ClRT9biQwhPaB4dpzK/UVVU0qpqEA4zN8/nMWMlcuZ9PYsJs96P3Zufrc8Lj13PCHjxip3cBVFhjC5LINjCX997gSCYRsAE7bwPZlI5cRKAhJic6XuLaKUaoIacZIqIo8AvYFS4DMi3f13GWOK4n1GXDtOKaXUoXDLRx/yxqpvueyt2UyeuW+CGnC7AbArgthlQQACIYt/ff0byiVpr2dJObiX2bgOt+mWkl13QSillIpHB8ALfAdsATYDu3/OA+IZk6qUUr+YP7CFF7/9ikvfnM3UmbNj5fO75XHJuRdEElQDGEPaexswXgvHI5xy2078VYnVDzIGK+hgV4B7o03HpJYcnqmjj5RSTY+Y2v3UJmPMicARwB3Roj8Bn4vIeyJyYzzP0JZUpVStc0rvobzoGS5/qwVX1GhBndcjjwkXjot08ftBHLCCUHFUBlVDkxhybCHH99zM8/MgmGgi26E6huRNfsQFvTq3519HjMUS/X1bKaUaGmOMITJRajdQHP2cDAwGbjjQ/XElqSKSAXQDEmq8eP7BVFgp1bwY/8dQ/gTp927hine/jJXP65HHhIvHEXC5sQIGd2VkbVMD+LtlEG4ZZNcaN29v7o1gSMwPYocMntIQYiDR5+GfF5yFz+Wtp8iUUkr9FBGZDBwFDAOCRJefAp7gUE2cEpGLgClE1rv6ChgafcmvDnDfE0Sy5R3GmD7RskzgJaATsAE4c88AWhG5FrgQCAOTjTGz4glAKdUwrSv+H98WPUZfex0d7snHuqt6clMsQXW7wAF3aY3F9wWMy2AX2mzclcn0bUdjJ4bxbgthhQ0ul0V22wz+esNpZLRIrofIlFJKxaET8ApwpTEm/2AeEE9L6hQiYwo+NcaMFJEeQDxjCZ4CHgCeqVF2DTDHGHOriFwTPb5aRHoBZxGZBZYDvC8i3Y0x4fhDUUo1FN/tns7XBfcTNlVk3rcd6+7qBLXoqAyeuOQ4sgJVOFUWRbuSsUI/SFKTQiQsTyAYFiyXIeQSXMmCZVvce8+5dOuuE6WUUs1AI57dfyg2gopnIFeVMaYKQES8xpiVQF4clZtPZOHWmn4LPB3989PAaTXKXzTG+I0x64E1RMYrKKUamZfWfcZ5Hy3mH9/8ivJ/uEm9e1fsnDPCR9pzmTx53CzeO+ElAplBLDFgRT7G5UBqAN/SRKyABQL+VHAXGzweF0OHdtUEVSmlmol4WlI3i0g6MAOYLSJFRBZiPRit9zT5GmPyRaRVtLwt8GnNd0bL9iEiE4AJAB06dDjIaiilasML6xZx41czMSQx6aW5jJ/+SezciiPb8Mz/DeMS1tDS7+eex44g1NfBGrAbKmycsIW1yYNry54xppEmhMTdDslBm9+c2I9LLx5ZD1EppVQ9aPzbov5i8Szm/7voH6eJyAdEdguYeYjrIT9S9qP/aYwxjwCPABx++OHN/D+fUg1HIBDg1iUzMZZwxUtzmTR9Xuzct0dm8/CdxxLyWNy7tRclt7fm+/x0Wn5XSKuJZTitLBJCYTbtakuR24VYDm6/zdNXnkvntlnYtoVl/djXhFJKqabqJ5NUEUk1xpREJzvtsWc2VjL7duXHY7uIZEdbUbOBHdHyzUD7Gte14+Bba5VSdcxfvpxLr32asiNTmPzKXCa99iMJqjeyW1QFFttNIlYYigMtaPPpDlKPdSE+Q/ej1mMc8H3Si39cOIn0NF99haSUUvWvmTfF7a8l9Xkis/MXE/lrqtmMYYCDWT37f8D5wK3Rn2/UKH9eRO4iMnGqG7DoIJ6vlKpjxoR4+OU7+bBvNyZPf58pMz6Infthghq5AcRtcGwI+Wzy7/bh3dCWlB7FOKVQ+aaDL1BG6tSEfV+mlFKq2fjJJNUYc3L0Z+7BPFhEXgBGAFkispnIoq23AtNF5EJgI3BG9B3fish0YDkQAi7Xmf1KNRKBz3isNJfJc95n6htzYsWfDezEM7cfifHuPT/TOIJ/oxcscIIBnH5dqNxgU7khCcIO7rLdSMBPZZmfpNTEH75NKaWaD21J/XEiMnB/Nxpjlhzg/B9/4tSon7j+ZuDm/T1TKdXwvLZqMePnfLhviFqiAAAgAElEQVRXgjqvb3cmXnYOA80mUk0lloAxYBzY9mQbggkW2w9PpMUqB2o0smJbOD4PXtsiMVkX6VdKqeZsf939d0Z/JgCHA18T6fLvB3wGHF27VVNKNVTGhKmo+JhzZnzG6TNfZuob1aNz5vXtzoTJY/G73Sza0IlBXb7Ha4UIO8KqhZ0oz/YR6iqRFgLj7P1gx8ElcNak47As3epUKdV8CTq7f3/d/SMBRORFYIIxZmn0uA/w57qpnlKqoTGhDZTuHMuYxUM5851POPf56gR1fr+uTLhiLH6PGwuHrqmF7PYnEnQsLGMoDiZHpl0COAZjExngEyOMvWA4YybqUlNKKdXcxbNOao89CSqAMWaZiAyoxToppRoox3FYs+08nsrP4qwXP+bC5z+OnftkUC7X/v13+ItdYMAyhvM6LeO+/IGAwWvtlY1GWgjC4Agg4PXY3HbjGRw2oGOdxqSUUg2WtqQe0AoReQx4lshf17nAilqtlVKqQVpecCcrqyro80AlZz/3Raz8k0G5XH3DGPAI7iKHYKUHMbCgpHpPjkC5J/qnyLfucf3CZHUZQOXuKo7umcvo4X2wbe3iV0opFRFPknoBcCkwJXo8H/hPrdVIKdUghZwqVha/So/7ttLnmfxY+Z4ENeBx4ZUQZ+as5vnVfWmVUsaX5a1i1+3enQi+ENgOJ+Vt49aRN+JzpdZHKEop1fDpjlNx7ThVBdwd/SilmqkPVt9Nrwc30uv+H09QBUNLdyWXd/yKl9b0ojLN4AUcByq3+QglgeWtIuU7mztG3IbH5fnplymllGr2DpikisgwYBrQseb1xpiDWcxfKdUIrS7YxYB/P0DLB6oT1KWDc7ju+tNwPOAlhM8KcVvuJ6S7/Izv/zFrrHTKwh5KtyezZntLaF9ByrcWk3oNx+PWBFUppQ5IW1IP6HHgSiI7T+kC+0o1I8WVVXyTv42K66+j+/PVOxXnH5PKyv+04XRZQn5lGkf4SjghbSsuMWzxuylPtcimBIA1uyMTqcTlMGhALuefMay+wlFKqcalASSpImIDXwBb9mz0VFfiSVKLjTHv1npNlFINysOfLOL+jz5l0uyZXDK7+itg+zGpfHhPNywvtJNSRifvoL0nRNhEVpNaGq7ezjQUtNi+Mx28YSy3YXj/7ojIj7xNKaVUAzWFyIT5Op9EEE+S+oGI3A68Bvj3FB5oxymlVOM1c9lq7l/wKZe+OoNLFn0QKy87JpWMp1vSqcTN+vIgdpIhhFAQtigMu1gd9FIUdgMQDlqUlPnYuq0F0qUCAU5q17ueIlJKqcanvidOiUg7YDSRHUGvquv3x5OkDon+PLxGmQF+deiro5SqT45juPv5D3hq42ImvfYGlyxeGDu3oH9XLr/kD/RZUczD/WbjKklhVZWLL2rsaxoIW2wqaEFZuY8NW1uyeks2VpsqwHB6l05ken31EJVSSqmfkCUiX9Q4fsQY80iN43uAvwIpdVutiHhm9+vWL0o1E3fMnsVrKQuYvGweF9dMUAd05bKrzyLgcbO4oiV/X3Y0t/X7iDfzu5Pn2U7YCJYYPt/QhS9nd8esS8CxhPS0EFa+of8YN9f2/kM9RqaUUo1Q7bek7jLGHP5jJ0TkZGCHMWaxiIyo9Zr8iHhaUhGR0UBvIDbYzBhzU21VSilV93ZWlfBaaD4XvTyfi1748QQVAAveK2nPbQ58/tJhfNq5gvZ98pGwxfyv+tPymB0EtyfjcYTRp+Ry3DG9GZjZE0t0oX6llGpEhgGnishviOR/qSLyrDHm3LqqQDxLUD0E+ICRwGPA6cCi/d6klGpUdmzcyV/++xAXLZvHRS9Wb3W6T4Ia5YhQXOFlZ0EqruIkSgIhnLZBfK3Lsb/JQpI9/PPikxg5sFtdh6KUUk2DoV5n9xtjrgWuBYi2pP65LhNUiK8l9ShjTD8R+cYYc6OI3ElkEpVSqgkoKSzlkkF/5uTcbxn/+eJY+SeDcrns8j8S8Pzga8KAu1x4bVFvQAiFXHy/LIfOOYlc3ftwcga0ZHDPDiR6905slVJKqZ8jniS1MvqzQkRygAIgt/aqpJSqK+t2FPLIdVMZs/tzzvl8Zax86YD23H79aKwSO7I6sgAW4EQ+57ZYzbNvDYhdn+hJ4O8Dx9Cnc3Zdh6CUUk1Wfc/u38MY8yHwYV2/N55BYm+JSDpwO7AE2AC8UJuVUkrVLseEeGXpNBYWjOaouZ9wTqg6QV3YMY/LRkxkSFkpd/adR+rySmSrDcUW9jab8Z7VrFnfAn+o+nfcYNAhu0WdL6GnlFKqCYtndv8/o398VUTeAhKMMcW1Wy2lVG16bcWVVLk/57AHN9JnXfVWpws75jH15PEEjJvXvuxFcaWX6zPnc9/UHJzkBHpc4+ONz3oS2JEYu8frdjFyYFdapCXVRyhKKdV0NZCW1Pryky2pInKEiLSpcXweMB34p4hk1kXllFKHXkVoB377cwY8uJE+9/9IguqKjCWtCrmZvaIrg48vw26VgZ3bieXzO2Ot8iChyDdngsfF70f044bxJ9RHKEoppZqw/bWkPgz8GkBEhgO3AlcAA4BHiMzyV0o1MoWVG+h97xb6/Kc6Qf2oYx5X1khQ93DbYXaWJ+Pu3Bp/2I2xBTsIqSXw/KMX0TIzBcvSbU6VUqo2NJQxqfVlf0mqbYwpjP75D0R2IXiVSLf/V7VfNaXUobTbX8mNn88h9857mTxjc6x8y7B0ph42jpDL3qdrKeTYUGHwh9wEMr0YEWyXMHniKFpn6RhUpZRStWe/SaqIuIwxIWAUMCHO+5RSDcy2iiJOm/0gF7w4i4kzFsTKF/brwvf/yaDPp9/z1fK91zRNcAU5td9Kbl80mPwRCbgqBTsAr/19HB3bZdV1CEop1fw085bU/c3ufwGYJyJvEFmGagGAiHQFdOKUUo3EmtJtnPHRXVz48rtMfLE6QZ3ftxsTp5zD16Ud6JO3ntSkMhI8fmzLIT2xknFDl9C3/ybmp+RQ1lXY3Qv8LWzaZuuQdKWUUrXvJ1tEjTE3i8gcIBt4zxizJ5+3iIxNVUo1Arcvn8H5z3zARc9Vb3X6yaBc/nLNGMoqfLz+0RCS8m1SfBXcOvEJMlwO/byR31/9jkWmp5LCKh+2H/pktsZl6/amSilV6+p5x6mGYL/d9saYT3+kbHXtVUcpdSgZYzji/uf2SVCvvmEMuIFScPuhc04+550wB5ftkFhjHpTfsemUWEr5tiTSC71cf/moug9CKaVUs6RjS5VqyqZN46LnPood7klQAx4XxoG0hApuOeNVUhOqgEg3SVtXdZbqlTBtdzoM7jqIc0cMpF2LtLqOQCmlmiWJfpozTVKVaqqmTUNuuil2uFeCaiDst7j5sNdJTYjsfOxF6OoWfNElparCFoUVbgamDOOCMSPrJQSllFLNlw4uU6opmjYNbrwxdvhx/y789foxVFlujAOBEg/l36Vj8JLrqqSt8ZNY6mJXIA3HQFXI5u1F3Rg35Y+8+fbW+otDKaWaM1PLnwZOW1KVaiIK/Vv4ZNfL5Nz2PIfd/3msfHGfXC7+/QRCawU7IUy4ysbxu3DZIZZtaUu37AI+m9+VF+cfQetLN1GSn8KuZ9pjByMtqqYRfJEppVRTpIv5K6UavfzK73huw9UMfWAZhz34Xay88thkHj7/JALb3OAHx1/9f3mDMPPfA/lw02E4NhQe5mHDgt60WgC2E7nG7bL51YiedR2OUkoppd39SjUFs7c9xJAHlnJ0jQR13bAsXrhnEH/ssxK3HdrnHhMUvJsNjg3+dJuSdl7Cxo03MbI1amKim5ycdC44/5g6i0MppVQN2t2vlGrsOt/xJkc/uCZ2vDgnh3HDLqRsfiouE6Z7ZgHrC1sAkdmigbCNt9ShpJ1NVY6H8mwXWEKSx8OYc/vjKnHo3q0NRw7pgstl11NUSimlmjNNUpVq7KZN26sFdU2nloyfcglltg+AkLhYWZrJiNyNjMjazJsFnfjSyaTKgaouLswud+zeQDjMGScOItOXWOdhKKWU+oFG0NpZm7S7X6lGqCwQ4OklX/L2WX/caxZ/4eGpPHDLqZTZCXtd77hsFmxvx26P8KXJRCzABSYtBJ4wAF6XzeheeZqgKqWUahC0JVWpRqagooJT//ssZ/3vVc5/571Y+YpB2eQ+n8SqT1ri/Mjvn6GgxV1LjgIBKymIlRyK9P37Qlh+m3MHDuBPI4bVYSRKKaV+ktHZ/dqSqlQjc8dHCzjjnelcUSNBndenOzdccDZ+y03fjJ3YOPvcZ6zo/iVGcMrcOBUuxIEWGxzmjj2Pa0YNx23r+FOllFINgyapSjUy7R+4m6n/mxM7nte3OxOmjGWJrwUut2Fij6/wusJ73eMm9IP99QSnzIUtwqMXj6Vt+xZ1U3mllFLxa+az+zVJVaoxmTaNy96cFTuc17c7EyaPxe9xExKL9zblkpNQxksj32Bwy614rBAtvBWkSSXID3aBdoQHjz6Tvl3b13EQSiml1IFpkqpUA2eMIb98LqumDN1rktS8nt2ZMCmSoO7xz7nHMnd9Ll2Ti3jqmLd574Tp5KUVssuk7PNcQfhm0646iUEppdTPJ6Z2Pw2dTpxSqoH7Yvs0Nlz9Nmc8szhWNq9HHhMuGoff7wJ3GCyw/EJVlZtr3h9FQkIASXAoMAk4nh+0oGKQ6P8+vOQL+rRqzajcLnUak1JKKXUg2pKqVANW7F/J9r/N2DdBvXgcAbcbIZKc+lwBOjq7admyiBati6jc7aFyiw/fVouE7VJj7JGha+Y2Rvf4EoDKUJCnvl5S53EppZSKg45JVUo1RGtKV7D4ivM4+clvYmU1E9QIwSthzu7/CcOHLcVd7FC4pgVWyEaMIEZwVYK7OHJ1dspuLhoyjwE538eeWVRVVYdRKaWUUvHR7n6lGhhjDLetuJtOd7zAWU9+ESuf16P7DxJUAIPbG2JNeWuOLitkR1EmWHt374sRPKVAiyC/7RVpkd1dFdmNymvbnNC5a22HpJRS6iA0hnGjtUlbUpVqYF5cNovcO57fK0FdMrgDf/nLGQQ9e69jKmJo1WY3FSEvv87e/JPPdFthJh35Hp0ydxEI2cxZ04cEl4vWScmc339grcWilFJKHSxtSVWqgQiHHe6682m6rrif3z31Zax8yeAO3HLLSbRy7ya8xaKoMAXjCG5PiLbtCkhK9kcu9Dq4xCHE3omsbRkO676B7FQ/Qgqbi35FpiePMUd25g+9+pLs8dRlmEoppeLRSMaN1iZNUpVqIF6f8SmXbvgbyU9ti5XtSVCDXhe2MbTOKaJtu0IcR7AsE1v61CCYsOBaVUSoe4vIwv0iSDBMVotUbjv9ZpJ9Ibx2BlYX3VVKKaVUw6dJqlINRPuH/0Ty7B9PUCHSZe8yIYK4se3qX68dB4Ykb+ehSa1Ie381yR95qOzTmlBGAr7tFZx3+nBapqbXeTxKKaV+IW1JVUrVJ+OfD9dPZMjslbGyJYPbc9stxxP0uhAcBEg35SytaEuCHSTFG8DCYIxQUOLjpXU9afXpBiCAXRYg+dNNsWet7bi2zmNSSimlfilNUpWqR07FO5jrz8e+q3rnJ2eEj29v7URRoQ+vhLGBLQXpfFnRERGD+EGKXVi2IewIiOC0CJLlCezzfLfXTed+HeswIqWUUoeCoLP7NUlVqp4YY/BfdxGJ91QnqGaED57M5gTXTkzKIu79+tcU+pMie0QZMI4gJS5AcMKRLzFjDHYQ2vQLsO1jF6FA9aIdbo+L0ROOq/vglFJKqV9Il6BSqp4sGTOWxHvyY8dmhA/zZDYkWKTbYVxWmOODa8lYbJO60sK7xcIqciHmh9ucgqmw+Ou9yxh68i5cbgexDN0Gwd0L/kmL7Iy6DEsppdSh0sx3nNKWVKXqwaKxFzL49edixzUTVIAqI9guQ07HnSS8KYhtcA0IUGwSIs2nNYgR7GKLd3f1YdJ9i7ns7rU4YcGTmEtGa+3qV0qpxkpMI8gka5G2pCpVxzZeMZXBzz4ROw4fm7RXghoy8G3Ai+PAzooUAt2CZJ27mcyeRZEban5nmcgN3kLh/fV5AFg2uDw2bu9RdRSRUkopdehpkqpUXZo2jQ4P3Bs7/DivK/+99VgCHpuQgYCBpYEENoa8hIzNwsIutD1+C67MIKlZFSTaQSRswAEckABYAcFdComhcPSpNiI+EpMn1UuISimlDoHa7upvBI202t2vVF2ZNg1uvDF2uKBLHlecfAGyIMyT3XpxcsdltE0qwBihvDKBtxccwfZN2VQWFZPZswiXN0x253x2zEujMj0VLMHyBfF878EVFM4esBvLbofbM4zElKnYrnb1F6tSSin1C2mSqlQtM8aBadciN/0rVjYvL4+JF1xAwOXGU+wmPD+H/5KDyw7hdocoD3pBBAMUbk+luG2kGx8LGAleSiMPKrHwLvXQs182YwZfVR/hKaWUqiW6BJVSqtaEy59Hbvgz1p3Vs/jn5eUxcdw4pMzGaxz86YKrAixHCIVdBMM22ALGgAiBdIOnyoUkhpAaA3SMA651Xs4/5Qgu+93R9RCdUkopVXs0SVWqFhhj2FpwNVk3P4H3noJY+by8PCafdj6tFghiomNIBXZ3tjFuG4xBHLCrHCQMnlKDb4dQUpFAqFsVrsRQbBxRYLcH2/Zht/RgWfsuS6WUUqqR05ZUpdShtrH0f6T8v6fx3ludoH7UtTtXnHY+GV9bWM7e12d8F6I8048/KwFPicFdBUgk8bT8kLFSKCSRshYGy3ZwQhaeIht/OMyXm7bWYWRKKaVU3dAkValDrCJUzLa//ZmO/94RK/umfzumHj0eb74Ne1pQa5CwIW1pCUFvEf7ObSLd/TXPO0LaOijyCOLYuAMgCC7LokvLFrUek1JKqbrX3Mek6hJUSh1CJcFill81iiH/XhMrWzcsi7ce6UNWbgmW8xNfOiJgWSTkV+LNL/7RZ9t+cAUs7IAg0RX9PbbNOYP710YoSimlVL3SJFWpQ+T1719m4aRjOPz+xbGydcOyeOX+gUiykNdvA0Gf7LNj1B7idiNi4c0v/dHzYQ8kuF24bQuXZdG1ZQueOG8M7dLTaiMcpZRS9U3XSVVK/VIPzplBhxf/yUmPLY2V7UlQw14bgMTEAOFEi0CKhafUqW5RdQwSdBAsTKtMKNwNjoEak6GMQLCNzbghA7n0mCEEQmFSErx1GaJSSilVpzRJVeoXmj7nS9o8+v84+aX/z959x0lV3f8ff51bpm7vLLDL0nsTkCJFxRJ7YtQYoxgLlsQSazSml+/3l6YxxUSjKWoSTb5JjF1sKCqIINJFelu2wPadcsv5/TEwsLBGY9hdlv08fcxDztmZO/cMsw/e99xTPjygeq6i6oPU2NGWUpNkk0GwziNY72IkPYykj1IKlEZnZ2A3uiRzLEDh2xAvhPKKPK6YOpGgZRG05FdXCCGOalrGpMq/dEL8F55ftJbGm7/KFe/tv8W/fERfnvrJCLBTI0c9R+HEbTa9Wg7ZqR5SJxOC1S52s9P2gEqhIyHsVh9waCoL4AcVGa0mPzh+NhnBQKe2TwghhOgqElKF+IR8X1N9wy1c8d4L6bolWcXcUXAuwccj9J+6jVBWgpr1eWxaWEYyFkBlaDA0gd0e0SrnkGNqpcBMhVu7VZO5w8MLm0QjBs0tiU5snRBCiC4nPalCiE+i9Y47uXjR0+nywrw+3DbhFMzV1SQr83hna9tZ90pppo9eyep5A9H1JtpU4On0PCoNqXGoe8eiKsCMpUKq43iMGNSrU9olhBBCHAkkpArxH9LaZ/dNsym455V03eujB/ClGy8gEbIByHqihmBTAh1JTW6yLI+Zxy2jbksGusECBX6uQSS/Bb8mNW412RxAm2Z6EX9IjUcKBS0uO28KWRmhTmylEEKIrqSQMakSUoX4D2i/heRtx1Fwz7J03eujB3DtHReSDNjpuqazCsmdt5tErJhIJMHgKZt4Y2c//PcyUaaPMjV50/ZQcHI1ygA/brD+jiEcuD6VMqDvwEKuu+4kJowq78xmCiGEEF1OQqoQH4PWHrrx68S//Vsid9ek61f0L+JLN1zQJqACaFsRm60ZMmQ1flJRtT7Krn5BckfXMyS3ikDURaU6UAkYAUaFprM9VIvn+zhJj3DYpk/ffO6+92JCobbHFkII0UPont2VKiFViI+gdRJdew787yIid+9J1zfNDPLMV0aQbG7n10iBzjBJVgVoeDuHDWYWLWU2LQ1BbNtjYLQa5WvQcHLRKZzV+zzOfrSFF55dTk1NE+PGlzP1uMFYltmJLRVCCCGOHBJShfgIfsMP0D9YhHXP/oDqz4rQ+NsCphtb+OPS6bgHvUZ54P8rh+1bcjhmQhk7JzbQHG8BFJtqC9lcW0DQdsm0Mrl/4gUAFBRk8vmLp3Vew4QQQhzRevqYVNkWVYh/Q2sPvvPLNgFVz4rA73qRH7HJtBLMrXgdW7kY2getUWgi7zQSevIDkpWbuO72M/jS6CmErf237TUKpSNcM2pqVzRLCCHEka6jt0TtBgFYelKF+He+9Q3Mu2vTRT0rgv5dLwgZKF+RSFocG9nKntbV/MseihdSBEyPoJGgZXCY4BkjKSvKZU7heFqcBPetXITr+5jK4JpRx/LFYRO6sHFCCCHEkUtCqhDtcDyPHTfdRL97703XHRhQfQ2Lt/Xmpl+cRnBTPcqJEb6gGX94CJTCnZVJY2k+f//seQAopfjSmKnMHXUsdfEYuaEwtiHjTYUQQnw45Xf1GXQtCalCHOSDXYtovOUKjnl0ZbrOnRlFP9gLM6RwfUXCtfjJc8eQ+c93UQkXlCawAryBQWLfK8UOWtx77ikM613U5ti2YVIUyejsJgkhhBDdjoRUIQ7gNj9Ev/93O/aj+2/x7xhXxFdOm8Oc7SsYkFfH8qoiHlwynthD2wi0JvcPbHfAXJcg8Fgd6tISBuYUd00jhBBCHB26wbjRjiQhVYi9tFeJ8c3bMe5pOwY198Ec7AUOt86bDZ4CFCrh0mtH0yEzL1VSY7/QyOAbJlCR0bYXVQghhBAfn4RUIQCv5XESt19P5JeHTpKyg5rTx69lSyhE/duFKB+spg8/lu173DL4M/z4rQWs37ObY3r15oIRI8kKyramQgghPr6evgSVhFTR48X23Mp75z/D5Jeq0nVr+pTR6xdRskIuaHBRhIviuCXNJLZkQMDCy4tg1rYcsJEpmLbPxDN3c85jj5D0IOl5zN+6mfvfXcyTF3yBkozMzm+gEEII0Q3JOqmiR3MTi9h85f8x+aXV6brFuYO4bcAcfvjAzFSFVsxvLAUgY3wdVt9WtNI0njgQHTDx7dSvUTDiktc7QfFVmoDVQNLzAIi7LnWxGD98a0HnNk4IIUT3pUlti9qRjyOc9KSKHq3ptssZ9vdN6fLi3EF8Y8RFONrm3RWlNDQF2NCSy6bWLExLgwJ/QIKGYBg1IEz9mHHkvlvFaZElFIxJwvFBfNsi5gTavI+nNa9s2tjZzRNCCCG6LQmpokfytc/rcy5g5sOr0nXpgGqkdoYyDE1dU4j/WTIVXeahTQ9fK+qrMsAAbQCmyeAvNhMui9JChKiRZGttwSEhFSBky6+bEEKIj6+nj0mV2/2ix3Ecl+cvmsbMh/+Wrnsnb2CbgAoQiST587YRrKorAMsn4Zrs2pQLzRZGUhOo8wk2+Iwq255+TbnVStPuwdhG21+tkGVx0cgxHd84IYQQ4ighXTuiR3GSLvPOmM1p8xam6+qPzeJHuZ8FR4EDSvmYpqa2NMDvV44hf5VLXSyfpgybUI1FVp1H9nqXhkEm2jJxWg1CYZfTM6oYFvSZPusULnl2E5vq61CA52tmlPXjqvETu67hQgghup8e3pMqIVX0GFp7rD3nZE6bNz9d93r/Idwx+/N8atha2GKy7v1i9hCmqd6iJhIhb5VHoBECiyz8/j4ZW2OEtrfSMDxMIj9I5lafTevKuGP8SgaGfMi4jbzocTx5wTTeq9rF9sYGhhUWMSA3rwtbLoQQQnQ/ElJFj6Ddrbi3T2PUs/tvzb8+ZiBfPv1SkjrAo6v39nL29Qhlxom+CdlbAGXghVKXsjlLGwm/uwkNZDZmYukBuBHF4tWDuHrbSF64ZQ6WGQVAKcXYkl6MLenVyS0VQghxNFDImFQZkyp6BOf22dg/PTCgDuDOOeeR7cTJrE5iOh4mDgVrHbLmW5hxm0Czj+H6oBQohVeSiZcTQQF2bQzfhliBwtfQlPBZvHl31zVQCCGEOMpIT6o46i0+51QmPvFBuvzWuAoe+Z8pjMjeBoDTaLPtL31JVIVRriIrmuSyzy5m1qRN+Fox752BPPD0JGJxG6dvHmZ9K3ZvTUvv/dd4WsPu5tZOb5sQQoijVDdZy7QjSU+qOKq9fMwMJj7xfLq8JFDEw/dMxizUGIHUI5CXpOKyTRjKxzQ0P//6v/jU9A/IykiSk5ng7OPW8PMb/oUyQFsGRkjTeFxJm/fxfJ9xZXJrXwghhDhcpCdVHJW01lR+4XxOWPp6um7hqAp+PHEy+baJecCUSWUAJmSNaqCsKUl+Tiu27ad/HrB9+hY2Mn7wdlbutAheVMKu/FJwUztKhW2Lc8aPoHdudqe1TwghxNGvp49JlZAqjjra3Qp3nEDpnzak6+aPGMzcqy+hrO9uCgPVh7zGsHzsTJeyjDoiYfeQn9uWx4C+u1ncZzS6wWb66DK2JZqIBgNceOwYThs9pEPbJIQQQvQ0ElLFUUVrDXfMRP14c7pu/ojBzL12Dgnbpq4lA8+rwbLaXp5qV5HYEUL3hljcIhxqG1STrsm2piyUZ5D0PDYs3MlTD16DUqozmiWEEKIn6uE9qTImVRxVdt8650MDKkBtUwaNsTC+uz9c+slUQL3ovHlk9K/E8Qy8/Xf7cT1FczzAW++Ws+9VjS1xEslDe1yFEEKIw0Xpjn0c6SSkinKC4QkAACAASURBVKNCc7yW1VeeQsFPHk7XvT2qok1ATVEsXl9Bgxsk6Ro4rSbhRpedlXn86b3TmTb9dJIFV6MCY9DaxPUMlq4v5eqfngNJM32UrIwQwYDciBBCCCE6ivwrK7q9xoanML51CcN/W5eue6dwIDdPvhhtt70Os5XHiNxaYn6AeDLA0IxKKvLrOLvfzUwfOB7T2Pf8L6N1jEVLNnHX/fPa9JqGghaXnz9VbvULIYToOBrwu0F3ZweSnlTRrcUTy9l1xxVk3LM/oL6dP5g7R8/B3BIksgECyiPTShAyXEbn1HDPuJcJ4dC4J8SL7w+jIDiNWYMnHBBQU5QKM3XCcL55/Wn0KclBKSjMy+ArXzyBz5wytrObKoQQQvQo0pMqurXtt36awfdVpctv5w/mrrEX45g2CihY7vOZ/isYcewuSkPNDMhsYEdrlEXLhoBWoDR3vaAoPuUOBuX3odI5nld2VWErk9P6jqAiM5+Zxw5i5rGDuq6RQggheqae3ZEqIVV0T3EvwfIbz2PSLzam694uGMRdY1IBdR/fVwQczfTCHQAkPIPHNwwFX6U2RtaKmKP5zhsOo/q9xnPV1bi+haEMfr32DW4fPZsvDJzY2c0TQgghejwJqaJbeuuq0zj+wZfT5SXjyrir6As42m7zPNv2GTdmB3HXxDY93t3Wiz89N54MFPF8jZsJoFi3p4RNZhbYqXGmvvZxtc//Lp/HSb2HUhzO7MTWCSGEEN1jBn5HkjGpottpvGV2m4Dqzozy13unombGwPLTa2sEAw4tFT6bo4otnse3X5zMNX85C9ezMDxFuEZhtu4/rjYOnQhlKoNXKj/ojGYJIYQQ4gDSkyq6lV03XUTJ3S+lyy1Tsgn/voA77OV8kVzsgXHM1TaDAzUcM3EtxeV72JAo4MoHP09jU2rb0n1RVGlFsA5awxrT0QR2WnhZPn623+Y9LSXXckIIIbqA7tldqRJSRbegteaFsz7NKU89ka57u2QQX+97MRMereS2S15leKCOtSVZ3HDMS2SYCSwj9cudaSW45ORX+dFrZ6M8CDSBmUwdw3BSj5y3Wsl8bRPm7hZ0yKLhrHwaP12Eb2hOKB3cBS0WQgghejYJqeKIp3Wc144/gVPmv5WuW1g8hDumXErSt1m4uoynFwwjGY7SL6eWkOGmAypA0HIZ33szvbN3s6Mxn0Q2hPaA4WkswyPvjTjZT61GuakeVBVzyfl7DYEmnzt/dS15wUint1kIIYSQMalCHMG0TtLy5SHMPDigTr2U5N5Z/PGkzTNvDWXhtlKmFm0hZB66XannK/rl1qQKCpyIxrB8jAZFeNkOcNve4leOT87L9RyfXdFxjRNCCCHEh5KQKo5o/ldnkvGrrenywqLBbQLqPlXNEY6ftI6JmXtobx8opaCmJWtvAcyIx8iT3kf5CmtPS7uvsQMWlZuqD19jhBBCiI9Ld8LjIyil+iqlXlFKrVFKrVJK3XD4GvjRJKSKI1J9XQtvHn8B5g8XpusWZw7gzklzDgmohuER7t/AjuYsrl9zGgnfbPNz1zOoas5mXW2vvc/36d2/mszCGBklLXi54XZ/V92kS3F54WFvmxBCCNFNuMDNWuthwGTgS0qp4Z315hJSxREn3rKVPVcew9RXH0/XuTOihB8roCJam9rLeO9+xrbtUFxYxy2f/Sdn9l7EptYcvrn2DLbHctA6dZt/+a4yvvnieexdvR/T9CkrS936r5i1leSEUrDa/ioEwgFOnjOLzNyMzmq2EEIIkaYApXWHPj6K1rpSa71075+bgDVA745t+X5dMnFKKbUZaAI8wNVaT1BK5QGPAf2AzcD5Wuu6DzuGODpprwrrrmPp/3+79tfNimD8roThoT38fNiz3PmNWaza1Yuy0dVMm76GcaM/wLJ8Mvw4F/ddyP1bZnDjyvMZGq3lr6Oe5bWavrQ0hFGWJpRw6GPW41XZUOYSzosz7is7UMMnsO2hD4jtqCOSFebT15/Gxd88rws/CSGEEKLDFSil3jmgfL/W+v72nqiU6geMAxZ1wnkBXTu7/3itde0B5a8CL2mt/1cp9dW95du75tREV/C83bi3TyF4T9uAqn/XC0Kpns5QyOPb33iNajNG3EqmnxdVkG1pLi9Zx8RoA/duncSq5kJaEkEa38+geImL4aSuGmNks2VJFoXT6ik+tZopfaZw/rfmYH7bRGuNUu2NUBVCCCE6mf/RT/kv1WqtJ3zUk5RSGcD/ATdqrRs7/Kz2OpJu958N/GHvn/8AnNOF5yI6mdYJGm8dQ/Anm/bXHRRQ97EiPq3m/oCaqSBPKWylMBSMzaril8OeZXRmFX98bjzPvTkYw9GpWycAKLRjUPdmIdflfZcLyy7DVKlxrBJQhRBCiP2UUjapgPqo1vrvnfneXRVSNfCCUmqJUmru3rpirXUlpMZAAEXtvVApNVcp9Y5S6p2amppOOl3R0TZ85TPk3r0jXf6wgApQ4wbZ4eTuG5ZKjlIYB4XLoOFyZfZyHn95DMr5kHE3PixbUnnY2iCEEEIcTl09JlWlem4eBNZorX/a4Q0+SFeF1Gla6/HAp0jNFJvxcV+otb5faz1Baz2hsFBmXh8N6u+8iYE/eyZd9v5NQE34Bs809WZ+02AS2kb77X+FDQUDs3anCh/SO2qYimBA9rMQQgghPsQ04GLgBKXUsr2P0zrrzbvkX2it9c69/69WSv0DmARUKaV6aa0rlVK9AFmg8iintWb7bTfS98f3puvWTy1gzS8GcWJgD4bWWOjUcm4+NLaE+EdDL96L5YCCh+OTKF+7k8tO2IJx0DfZ11DpFDDpxJXU12SwdWEvfNc86ARg+nGy5akQQogj0Mdcy7RDT0HrBdDuUuKdotNDqlIqChha66a9fz4Z+A7wL2AO8L97///Ehx9FHA3mX30Rs+7/c7r8+tgB/PSuE5nANlbXZ5NjOLS4Js0tAZZ+bwwtlQasWEtkkos3Iptao5QFsbHkJV/ijBPXEwqnRpgntWJhPJ94WHPsiStx4ibOaTZ///HxNO+JYhiKgGVyx21nkJsT7armCyGEEP+Gho9xS/5o1hU9qcXAP/ZOULGAP2mtn1NKLQYeV0pdDmwFZP2fo1jVLacz6/79t/gXjS/n2lsvxIlZFLU0UxatY7cXoK42gyVPDMPxAoQMB/ILqMzJw/FzUVqhI/Dz5afQmp3FeRPfw7Zd3neLaPEUGEmUgkDYw7I9Tr50GfXL5zJpbDnHTR1MRjTYhZ+AEEIIIf6dTg+pWuuNwJh26ncDJ3b2+YjOV3/bDIp/8nq63DQzSMb9Ljc0L+XeLeNZubs3O5tz2D2vlGRNKHUh2QvihUECpTZefgjDU6nZ+i5ow+SBBcfxh2cnkb16E5f8ehnBrLbrdhgWFJZXcs3s2dhmqHMbLIQQQnwCqmd3pB5RS1CJo5zWSZzbJpDzo7YBdcsD+fhhOLFwFT8fOp9xLQ2MX5PEqw2AVuz7T1uQyA/tLaUoQPmgPNCNMXi3jn83iGfNwvUd2kYhhBBCHB4SUkWnab7pZOwfLUmX9wVUHUpFzgQeE7Jq+PqEt1i6qTeef9BEpw/5uirAcMGsbUF5mo1PR/GSbZ/ju1C1OEqsIdnuMYQQQogjjtYd+zjCSUgVHU5rl3VXnkLmPfPTdQcHVICAUpjKpzAUx/NSX00r6FI6cSfDz11L70k72p1jmP41K8zFDVss/nEujVttks0K34NksyJWa/LGN4oYOW1IB7ZUCCGEEIeLLBIpOpTWmhcumc0pj+wPqAsqBvDP0lF8NvEe0VCqZ1MBBYaNrXxAccro9fzt3aEMOW8dVtDDsDShzBaql+TiuCFQB+1CFdMYVpDaq8aR+5eV/P2MUvrMiJE/NEnDFptdb2Zz2XcuJpots/mFEEJ0Azo1nK0nk5AqOoznezzzxbM584CAOn/kYOZecxHB9S57vpTJVx5+GVNBsWETVSZKQVLDp2as5L3MEFbIRcc0ld93aX7VJ0O/hx8N0jJlAG5JFgBmAuwkgCK0x6Dq4oGU/WgF2+dHqXwzk2nnHMsNT5/GiKnSiyqEEEJ0FxJSRYfQWvPMpadx5sMvpOvmjxzM3OsvJmHbJIcF2PVMJtXLyzhufC1gsLUlQo0ymJ8owFCazAGNONpi+00OsRUanNRxjIYEGS+uoeXk0ahIuO3sR6VwSsKQHWTScSP48s8vp6RfuzvsCiGEEEe2bjButCNJSBWHndZJGm+azZkP75/Ff2BA3Sdh2Xzlxdn4DRZJz2RYXQ1TZ7+Pr1TqNgea5Gaf+Kr9AXUf5WmCaytxxvVP1/kGtJaAFbD4a+UD5ITCHd5WIYQQQnQMCanisHK9OM239ifnnsp03fyRgw4JqGarh9nkY/XRZJoxXMdk9KxNqYC6V5YVp35HBGWDThz0RhpUcxzfSI3Z0QYksyFeCmOLiiWgCiGE6P56dkeqzO4Xh4+vXSpvGU7O3fsDas30DObdM4yEYe17EirpU/xkPaUjWzhhzHp2b8tm1PAtWGbbEeJh0yF/SALd3qpRloF7TC7e8ACxAQYNYxSJcRYFkSh3n3xaB7ZSCCGEEJ1BelLFYdPytUvpe8+mdLlmRgZLftOXacENKC/Kv94fjL9Nk7uoGVWhWHlaMfXv5lFWVIvWEPNtLOVhHLDMVEGfOIWnBtn9goUXT9UZhiKaFeHxh+4ipyibRTu3s6Kqit5ZWcyuGEDAPHh9VSGEEKL7UTImVYj/XtPtXyXzh4+my/sCqh80MNFcNmwp0wZsYXEsh8cnHEOiNUiyNoAR8TGTELQtmt0QUTMBWmOo1Hhx31c0n1VOINiE+eYenGaTY0+ZxOd/cC7rrJWYdSZjSsYwuXffLmy9EEIIIQ43Caniv6J1Eu/OS8j84WPpugMD6j4WsCKeybY9+TRXZacqTR+7RtHalIOesAsfg6pENhlWnLDh4GqDytpctlaWYI8q5ObvL8dUQbAc7t3zXYxGA1D42ufyii8zOmd85zZeCCGE6EjSkyrEJ6P9OmI3TyJyz/p0XfX0DJYeEFC1BpTi+ZZSPqgv5OVNQylYnCB7vYPywImYxHqHcFYNpTG0g3izRbS4hYziVpQCK9PlmOPXsvnt3gA0uT5LG1bjQZsB5Q9u+gU/GHUvUSuj8z4AIYQQQnQYCaniE4vdfGqbgLpuahHP/GwE/QO16SWkHN/k/g+m8H5dKXE3gJHQ5LyfwNg7RyrQ7GFubmXJvAjY5WCAMjSZvZoZdPpGDFNjWj7jxn8AQLWTTXsbcBhKsbxhCVPyZ3ZCy4UQQogOpqHdf/B6EAmp4j+mtebFCady0tK303Urhvbi8Z9MxDdNapuzyDTj+NpgdyzK8spytKXAh8x1XjqgQmo71Oa+4dTPST1H+9C4M4Oq9wrpNb4a0/LJyIml3hur3RU5fK1J+u0tAyCEEEKI7khCqviPzR87i5OWv5Yuv2P34XtNExnsGRiexjQN6p0Ivm+weNVAVKuFzvAw4pD/tguAb4JvGyhP44UMUAqjIUb4nS1YlY1gm9StKaBkjMY0NVmmT8DIYmbRRTy2cx5J/9CFU0dmje3ET0EIIYToOAots/u7+gRE97L4zLOYdWBADZXz7bzTSLY6LD+/gZwfFFLQr4Gm5jBrtvZlT1MmputhxE1ya1sxPU39wDCJPDu1nakPZlKjWhJkPrUClfRQAI6HWlRJ9fcUFd/J5nMVd1AcHobCZGOshcV1b5L0EygUlrI5peQs8oOFXfWxCCGEEOIwk5AqPraNN17NxKeeTJffCZXznYIzcJWFitq4uxpYsbuEinKDjRv7kIwFwNeEahThUILsE+tpqC4mGbLBUKnb9oZGO4rQ6kqU63PAEqkoV9P8PFx59830igxJ13++7DIm5k1lSd1CLGUxKW8a5dH+CCGEEEcV6UkV4qPpr19N/5/9Jl3eF1AdtfcrpDVebgC3j0/Cs3ASFigfwwODOMEZDbQsy8JuNLAbPZKZBk5UgVJ4IY1V3YzyD/1lDIfDtGxMwAEZVCnF4MxhDM4c1tHNFkIIIUQXkZAq/i3P203tLcdQfM+WdN22QQV8J3ZAQAVAUzenCEzFlo1F4EJGVgxW+YQ+24p+Khtrp41KDUnFTPpYrYpYkQmGQhVnQE3TIfsUO0mXkoqijm+oEEIIcaTp4T2pxkc/RfRkO28e1yag7piezZt/78eE06vSdRpN3awAsSk5qYyZ66D6xGhpDKLGJlBVNkaljXL338xXGuyYxkxoDKUY87kpBMPBNu9tB21GzxhG6YCSjm6mEEIIcWTZtwRVRz6OcBJSRbu09qm8fiJ9f7YtXbdjejav/mowbtBgyjWbcXMVsQEWu67Jov4zqV2klAJlAGEfVZagJZmL2maD096bgBXXhAMWX7n8VP7n2a9RNqw3pmViB21mXTCVb/ztls5psBBCCCGOKHK7XxzCcVzeOWMyU15Ykq7bF1D37SSViGjqfhCmOREEdOqK74BZT0qBDvhoC4ZEBrIjUEUi6bZ9I6UJFCU4/XPFlBXmoIpyeXDVPbQ2xbCDFnbA7vjGCiGEEEeonr4ElfSkikO8ftwJ/zagKjQNO4OUGbVM7r2J7GCsTUBN0xAMGfxk7tkoX2PEXJSz//6CsjW5n6rk3eRSljesS9dHMsMSUIUQQogeTkKqaGP1ZZM54e3X0+VtE/N47VeD0gEVUl+aP62eyrp3y2lMhsmOJTHaGdyiFFw4bCx//PlLWDuaCdTFCVS3EqhpRYUdMi6oQgU1cT/Jq9VvH/J6IYQQokfTumMfRzgJqSJt+y3nM/x3i9Lld7IG8GXzKqrWFKF8QGv8hMU/n5vGpm2lJHWQ2l05lPfaTYEdbxtUfRhqNTBs+25efmY5ruOBn5owZbge4XAjVun+bUxVu12xQgghhOipZEyqAEB/85v0+clf0+V3sgbwrYGfw3Ftnv3hJDB9YuUWDb0ygNQXx0yYNFRHGT2kjrtKVvBI9VBe2tOXkHK5pHQt5xVv4IoroyTiBwVQT+GvCqAToIIQNALMKprYia0VQgghjnTdo7ezI0lIFXjf+Brmd3+QLi8trOBb5RfgsH9cqK8NmvIi6bIC8DRWi6Jmcx65YzdyR8US7qhYwoFaWg6aUXXAAcyEiRU2OLF4MqOyBx/mVgkhhBCiO5Pb/T1c7U03twmoG6YV8Mxjw4mOiKEsH2X5WPkOe0ZF2oxLhdQt+kRNmHnLh2Cbh45JjXkWEyYXY5iHhtSs/DAXjTqdH425hasGnI9ScrtfCCGESNP0+DGp0pPag22ccy39/3hfuvzO6H48+D9T6J3XwOhb1+K1mriOgWoN889nJrWz8K/G9DQqM8n/e38ctw9diql8LAWtnsm7zcVMuGQG7yx6ltaWJE7SxTQNLNvka9+5gLF9+x98QCGEEEIIQEJqj/XBJVcz6OHfpMtLxpVz5/FfwK5pYbfOpDDUBIamcVsOdSpK0HJwHAtfH9T57itaNmXxz63HsGxbKZdMeo+I4fJWcxGv7hnGt0Zb3P+3L/Pk42+zYslm+vQr4JzPT6asorCTWyyEEEJ0M91gV6iOJCG1h9Fas+LLpzP64WfTdUsnlfE/PziVkFFP/WO9aDIKqMlw8fZY1OUEsFzNlPKNLN7ZD98zUAocz+TAsabaU2x6rxcP9nKwIh6+Bp8kY3PKyQlGufjq47ugtUIIIYToriSk9iDNToJ/XHwqFz/2arruzbH9+cn3T8INWuBrIhPraX05H7fOIpmr8fI9vjp6PiePWoNlelQ3RfnO8yezclMZB0+IUgpiu6Jk9m9EAZ/uO4ncYLRT2yiEEEIcLXr6jlMSUnuQ5y9tG1DnjxrM3C9fRH6ilcJQM8qAcP9m7JjP5ngerSrI90bO48Sh6whaHgBF0Rbylu8i78l6cH3igwqIjS9FB629i6BqQBMwNKeXyox9IYQQQnwyMru/h3h37kmc+6dX0+X5owYz9/qLSdhBahsyATDwKQ83UN2Qja4OUVyZZPaw9wnZbvp1914/gA1/drFqW7Hq40SW7iD38RXg+uAroqXNmMonL9jMrzf+hJjXSquzi1V7fsvi6u+ztekFfO3ycbieT3NrAt3DrySFEEL0UDK7XxzNtNa88+kvMvGJF9N16YAaSK2D6vkK0ASUz1XF73LVecu45NdzyM1uwfMNINWLuv2DEG8/n4sTP2CLVE9Dc4LwhhpKLo+Rn9lIwPDYt6LUwpo/sbvlD2jt4eOwpel51tT9kRP7/BbPtfjtY2/w1MsrSSRdJo4u54ZLj6eoIJNf/X0Bj7+8DNfzyc0Mc8uFx3PiBOmZFUIIIXoKCalHuQUnf57pL/4lXT44oIImKxxjRLiGi/JX0TvQTKWXQcWxO1hTV0iDEyQScABYtzQDo52+d8Pxyd5cQ6+KBAcud+ppl5qWR9A6fkBdjCZnMx80PMYDv8zg3dXbSDqpEPzmko0sX7uD42YO5tlFa4gnUz2uNfUtfPPB58iMhJg0vOzwfkBCCCHEkUgD/pHf29mR5Hb/UUprl+2Xz2oTUDdMLuDaGy/ECZgAWMoj00rw6Jh/8NVeC+kbaOLp9UM59+9fZOWWPsTrI5z998t48v1hAOQWO6h2vjFaKRwnwqbnykjG9l/3RI0kam8v7IE8nWDxuldZtmZ7OqAC+FoTTzr8641V6YC6Tzzp8sC/3vqvPhMhhBBCdB/Sk3oU8rVL9fUD6fPQlnTd5hHFLPplGVcar7Ng1yBqWjMZklXN9f3eoU+kCYBdLRl8f+FsEt7+r4WnTb771sn08proP6oWKwi0kLrC20cpdK9C6leF2F2fw5izV5ORYTI6ZyTK3d7uOdZWZWGahybehOPBwWux7rW9pv4//iyEEEKI7ql7jBvtSBJSj0JbrxpBvwf2B1Q9K0LpQxlUPl9BsiDOp8pXUW9l8EblQKwKjasVltK8uHkwWh+6PanvKe584AyyNzp4ZS4kt0BLHFBgm/gjKtCRAL5l4CYMkuvGcPm5sxiROYbntr1Jk7OFA1OtqUKMrZjO0/6OQ94rYBkkDIXntf3FVMCQsqLD9REJIYQQ4ggnt/uPMq+ffz79HliXLsdmZuA/1AsrbHDRSat54YGpPPK10/nTk7PIDcR4ZdkQ1lUX4ngGMdfGbacXUyvQ5t7walt4k4fhTxmJf+ww/Gmj0LmZoCCZaaC1onFHLqOyx2EYBsf1+hEhMxdLRTBVCFMF6RM9geNHfoaB5YXYltnmvQKWxZxTJxIKtL1+CgYsrj5n2uH/wIQQQogjlczuF0eLLTd8iel//Wu6vHFaAU/cPZZeTpJzQ5XkRxLga3KL6njwK38l4oW54enZPPqHyThDkzQOVHhacWhfKni2oqmvTWSXw67JioJlAczE3p+FoKXQAiP1yrzMSPp1WYF+nNnvaSpb3yTu7qEwPIasQAUAP/3aufz0wZd56c21uJ5mxKASbpt7Ev3LCuhTnMNDTy+itqGFoWXF3HD+DIaWS0+qEEKIHqQbBMmOJCH1KLHui3MZ/PsH0uWN0wr428/H4wVNtrkmyxNZ9KeVUGYjv/nWU1RVlnDn/01jx/oCrLimyQ+Q+ZZBa6EmkZPqPd1HKWgYFED5gAoRbPTYeqaP3aABRajKxIqlekSVr5lz4jFtzs1QFr2jMw4552gkyNev+xRf+9Kp+L6PdUCv6hnTRnDGtBGH9TMSQgghRPchIfUosOe6Gz80oAK4GCxPZDKvroKy66pZtaaUb99/PIkxDoFWjRc2yNiiUL4i0KhJZPo091Ekc0EljXQPqd6bIROZJqEPmgh/0IgK5qBzMlCeizYVoQyLmaMG/EfnbxgKwzA/+olCCCFETyFLUMmY1O4ueddN5P3iZ+nypmn5bQLqPtXJCL/bOZJFDb3w+zvknFhHsioD31JoMxVQ9wk2KXLf1ygX2rv5r01QgWysRJDsFzeS/Y+VBFfuxDMcBg8p7bjGCiGEEKLHkJ7UbmzT3NlUPPBSuqxnRXj27jF4gbYB1fcVb1RXAIqYb/F0bT8s18INpgJqmxX4AVwPLDAcK9172oYBdo5P6/hiWseWpKstU3HN8ZMPYwuFEEKInkqD9rv6JLqU9KR2Q1pr3r982CEBVf+uF2cVVBPAw8ZHobHx6R9oplildo1SaBwjSb1t4mZpvCDpgdmuG6MpL0n9IJvmQk3mm9UQdw89AaX486Wfp3fvECiNMiAStPjuOSczeYDsCCWEEEKI/570pHZDDdf3Y8hDW9PlfQGVkEEpCa7N3cz7yQxafIu+VozeVpzx/VpZsKw3lvYp3NHM7ClP8/UXP8esy99m/kOT8fwkzRVhsA1QCj8rSGJIIdkLq6mfVdLm/fv2yWRkfm/mXX0tLYkk9a0xSrIzMdvbM1UIIYQQn4zM7hfdSd1NZ5P7i/YD6j5BpRkdbGrzuopwI8rRZC6DxW+MYqE7hr4n1vCWW45zdj3+C1lk7VSgNb6tieUrvLBJYkghgaoY8X5BtAF21OCuGSekjxsNBogGAx3fcCGEEEL0KBJSu5H6r55D7t3/SpedWRHMgwKqr8FxDYJ223Ese5pClD4Idp1Jgr0DTV+KsrOPTXSdTTBhovZesJkORKs0zaXg2wZ2VYLYSJOsUIBvHHsyJ5b9Z7P3hRBCCPEfktn9Mia1u3C+cSs5/++JdLlyehZP/mIIu6z9vZieD4+8NxL/oL9Vx1X89c/Dseva1mtPkbnCJ7TdxPAPmjylIVivUY6PXxjkC8e8xdXHrubcQSMPd9OEEEIIIQ4hIbUb2HbrNdjf/XG6XDk9iwX3DcQJmixOhNE6dbH1j42DeCM/wnNNpcR8E0crkr7inTW5PP9CO72fvsJIGO3O4FeAmdAENu+hYuxuIkGHZre24xophBBCiLZkW1RxJHvz2guYet/j6fKCsQN4/vvDGBncBYCjFQ2eyfZ4Bi+F8rANzUutpbzS2osQCoW00gAAIABJREFULnt2ZVD5cBnK9w45trahdSBkLT30fTUa300SPdlk0vh1AOQF+nRMI4UQQgghDiIh9QiltcP6q6Yw9YEl6brXxw7k2ts/h19r0Cf/FXICMXzgV1tHst7IIBJw0s/1UbRiE8hPEgsEUBGfQJObvnDSNjQPVsTKwdrjEd5iYnj7b/krS1N0XjUjBmzDNH0sFeSE4ss6q/lCCCGE6Aa9nR1JQuoR6r3PTWPs44cG1GTAxsRjZUMvjivcQMI1eXTnCI7tu+VDj6UMjZMTxMrSxAI+XlTTPMigta9COYqm0S4qCeHtJqBQhk/BBTuIlsTIs10KQwM4vugyKjLGdULLhRBCCCEkpB6Rnvj8GZz9+OJ0+cCACuBrRcK1aPaCPPf6BKzqEFVZmZTl1WEaba+6nMYATmPqdXEzQEuZpuXYJGjIeTWAtsFqNDBjCm0BShMa2MqkwYO4ZuBF5AVyOq3dQgghhNine4wb7UgSUo8wr1x4Nmf/5el0+fXhg7jmtgtw9gZUSO1i6lgWq2r60uQEGd5/ByU5tbiGQqMAhe8otK/Y+s9yUtOgUv8ztEnAMPF8TaK/S3RpAHXAzP5IKMgDV82hf+/CTmqxEEIIIcShJKQeIbT2WPDpGRz/xJvpuvkjBzP3yxfjxEysQBKlUtualkQa0aui7KjMZsRJmzDDqecHNHgYuJ5ix1ul1C3NJ9kSTP1QaVzDYMbIgYwf3ZuSUCab+zfyZ2sZifUxop7FcaP7c/mnp9C7WHpPhRBCiC6lAd//yKcdzSSkHiFeOOtTnPLUAQF11GDmXn8xiYANPrgJi1wnwb2TXqFhY5RkcT3PPduLyry+eKYie0AD2YUtWMrHcKEqESFWYhDc4YOvcIMKN6So2tXCvfe+SSQY4Pzpo3n+y5djm+2sQSWEEEII0YUkpB4Btlx7Lac8NS9dbhNQAQzwXZPbCpeRWZ+k1tG88Wp/lkdH42c0Q6EHyQjWFp9gs2bnlkI8bWJENIlyjS500AVJQoszWbOtGoDG1jiPvLyUnXsa+f6ln+qKZgshhBDi3+nhY1JlMf8u9sRFn6H8vvvS5UMC6l4mPolWC9eqJTezgTe2j8U/qwmKPDABC9yQQXOOiW8agMK3DJyAidoexFwXwS1Ntjlm3HF58d0PqK5v7oSWCiGEEEJ8fBJSu9D/ff7TnP2nf6TL80e2H1DRmuKGFiaPfpeS0hj/enIMlDoQ9Nv9Gwzmx1J/UKBN0KaCmIkXOPSKLGCbbKmuO6ReCCGEEF1MdpwSnc334yy4ajbn/vmNdN2CEQOZO/cSEtZBfyVaE7UTnDNmKdvjWTQ0Rlizpxe6j5+etH8gZYERPGB3KQXaAhVXGE2Hjj1NOh5lhTJRSgghhDiy7N3zvAeTkNoF3rpiEjN+tyJdTswMU3CfSdbiODXxzNQ0fQBD0y+nltkVq1m+opwlVb3ZWN+blpIAOTUG7X11tQtu8wE9sRqUlzpWoNXmwHmCQdtk+sj+FOdmdkQzhRBCCCE+MQmpneylC07mxMf3B1R3VojEg/kUBmJ8ddTr3Lz8U6gETCrfwLBelQQtD9cxmDZ2DdFkjIZNa3jhziJacvvQOjE3ddt/bybVHviOSbIutLci9TAcUCh+deW53PvPBazZWkUoYPOZaSO5/uzjOv9DEEIIIcS/p0FrWYJKdAKtNVU3zODExxek69xZIVofLICQwkYzq3AzKI0OQkluA0Erddte+4qmPVFyi1t56boi4ntMzN27iNxaR/ILJXhTTexMjxH5ARY8mQVRQGmUA4EmsGI+OevijKso5eFbP8fSF1dQuWEXFSXF2JYsPyWEEEKII4+E1E6y8/rB9P7F+nQ5MTNIYm9A3Uftu4GvNOt3F1OS0ZQqa1g+fxDhYQ0kGw3QCpTCbEoQvm8L3AfTPjOJb/3tVk657bt4xFMvM1Vql6lEah+q91ds5e6L76V2x25810eZBv1G9OWH875OOCPcWR+FEEIIIT6OHj4mVWb3dzCtNe9c2b9NQG2aGeSDB/KJBfc/z/UVr9Xu28JU4bgmTtzEiVks+stYmusjJJsM/Jx8jOGDMEYMxhg6AJWdGk/aUt8KQEZBBsoDwwMzqTETe7/gQYs/ffMxdm7YRawpTiKWJN4cZ8OyzTz0tT930qchhBBCCPHxSEjtYE9deCITfrspXW6aGWTLA/nokGKPr9EaWlyb2mSEH7w/EwDlgloW5r0/jeDl706jblsW4QHNVG3uDTmFKNNEKYWybVSfXgQKcph53lQALr5sOipg7huOmnqYij6DCnl33nt4jtfm/JyEw4sPv9ZJn4YQQgghPjZZgkp0lMWXH8+Zj72aLh8YUAE8YEVjLx7dNoIXdw3AwcRSHhm1PrG3c4jvHQBgOz5ZI+tZ/fsKMNpeVyjDwCwt5uQ5qYB75hnjWbF6Jwteex/lawzLIJod5ptfP4e5v3+x3fP0XK/deiGEEEKIriIhtYO8+YVRTH10Zbp8cEAFMLTBq63lJPApD9SRlddCRcYelj8ziuTeRVAVYJo+flLhue13fNvRMIFQAADTNPj6HWex6cIaVq/dSX5eBhOPqcA0DUYcN4SVr69FH3D1ZFoGk888pgM+ASGEEEJ8YlqDL7P7xWH23HljOfVv+wPq1mm57P5NFCu0Pxy62mBldX8aa2Bk+U5G9d2J5yiqP8gn2Rxsczw7K4mKaHxltLd+P+UDiw6pq+hXSEW/wjZ1N91/NddP/RrJuEOiNUEoGiQjJ8pVP57z3zVYCCGEEOIwk5B6mD3xmfGc/Y/30uXVo/ry+x9PosKrZby3hbDh0OQFeXXNaPRCn/C5cZqcAFHboWprHkv/PLLN8ZTtkX9cNdleEVfeeCoP//wlEnEn/fNgyOayG076WOfWZ3ApD2/4BS8+8hqbV21j8DEDmPW5aYSjocPTeCGEEEIcPt1g3GhHkpB6GD13yjDOfmFtuvx6/yF85fQ59FncyMST6ni5aQz5RpwVa3qz8w8mO7+Qi96RWibK8nysX0dRrUBEs281qsIpNZw+azzn9rmI0HEhcnOiPPrrV6itbqR8QBFX3HQqI8f3+9jnGM2OcvaXPnV4Gy6EEEIIcZhJSD1M/nr2eM47KKBe99nLSBo223cb9G32OLPXWt5rKuDxH0ZovisKwf03711t4H0+TuY9GpodUArtayILy7no1svTzzvxjLGceMbYTm2bEEIIITqf7uFjUmUJqv+S1ponTjuG8/71brouHVCt1H6lvlZsrMthTW0ev7hpCM6xATh4oydToaMar6+L0qRm5gNV2+vZU9vceQ3qYFon0N4OtE529akIIYQQ4ggmPan/Ba01fzh7Opc+uzRd99rQwVx39hdxTDtd52iD368cTuShYhJ7AviTDbDamwIFOuoB+19rGIrm5jh5BRkd1o7OoLWPbr4HWv7AvtlfOnolKvollGr/sxBCCCF6ru6xlmlHkp7UT8j3fR45fyqXPvlGum7+sMFcedUcmgv3d5NaposdcChN7CHWHECHwPrAh3g7XzwDzC1tq0Ihm9598jqqGZ1GtzyQCqjEQO99ND+Abn2kq09NCCGEEEcg6Un9BJxEC8+ePoOLX9rfgzp/2GDmXnUpCdtGobFtB8vwKcraQ3G0gTdj/cj8RoxwTQwdB6MRfFODvbcXMaGx39WohgDYqXlTpmVw49fOxLSOgmuJlt8CsYMqY9DyG4he3BVnJIQQQhy5NOD37J5UCan/oVhsEyvOmslZL21L1x0YUAEMw+fc4a/wflM+y4yBrG0uBqC+NoBbmw2mxp7XQqSwlfCEJKVWC3teDVP7QSbN5SGCjR5eyMDtF0H3CndJOw8nrX3QDe3/0N/TuScjhBBCiG5BQup/oKbxA5pvnM6kF6vSdQcHVADb8Fi6cRDLcnqDaUDIA1PjRcDdDSQtYkMyuG7cMs4fuRbHM7Cn+DyzaQDfeWYWLbH9wwV+/9I7zBzRvzObedgpZaDNfuBtPvSH1qDOPh0hhBCie9Ayu198DK2t9bxy4SVU/G5/QF3Qbwhzr7iURHqSlI9peIy0d7I83BvU3rBp6dQnbUHrQI2daOWLw97j3FHvEwx4ZIQdgpbHqRUbuGHGwjbvW9PY0jkN7GAq6y7g4E0DQqjMO7ridIQQQghxhJOQ+jE01O9h+XnTOf+Z/QHyjfIhfOX0ywjsCBKoAzMORWYzV4xaxDEjNjCl/0airpMaT3LA5HVtKRrG2Fw2/D0ittvmfcKWxwUjV6PYPwZl6tDyDm9fZ1DBGai8B8GeBEYhBKai8v6ACk7u6lMTQgghjjga0L7u0MeRTm73f4Squo28/+lPM2P+ynTdm+WDufGM1Dqohgfh3Saq0uWiscuY2281f2zuw6SMDRxTsYlH35rG7lgUQn46rCofsiLtrxMaNF0s08dxDWzT5IqTJnVGMzuFCkxE5ctsfiGEEOIjaS23+7v6BI5k72xexoJTLmTG/OXpusW5A7jxtP0L9e9j2ZrLTl2HbRhowDZ9ApbLicNXgasgub87VZuw5v38dt9zy54c3KRBwFX88opzKMru3uujCiGEEEJ8EhJSP8TSNW+w/MrrOHfx2+m6hUWD+FbF58jYkiCgXMJ2Ejwfjc/Vpy0mZPmsqs1jd10mAIaCsrzdKBQ4qY9auZroZo/f3jeW1riF66XCq+dDLGnxo39OpyQS5fc3f45jhx8dt/qFEEII8Z+T2/3iEMvWLWPtXTdx2Yv7A+rO47L52RdPoOalKLnrkszu+wF9pjZx964JeCG4b9to/IjH7xeMI1YbYvqM5Qwduh3X33sdoAFPk7nepWRegg1ODtfcdBIXXLKBoWU1bKzK5df1E6kr68c/z7+I7NDBk4zatztRwyvVz7Mzvo1+0YHMLDyJbDunAz4VIYQQQvQ0SqlTgZ+R2tD9t1rr/+2s95aQepA/vPAI7o8f4PJ5+wNq5fQs3rhvAKeby7i3vhS9yae0uJl5zeW4YQ1hn912gB+sPxZKQBX4zH9rNH3Lq1lbXYreOxEq5z1FwWIfwwXt++ya38yPl/fDHf//27vzKCmqe4Hj31/1Mj0wMMi+CAwIM4IbiIBK4MWNgOghop5g1IiYkBNBJca8aPaX3Ww+jUtEn9EsLmhi1LgBKqtsgqDAsIMwDA4IDMssPd1dv/dH1cw0MwybMN09/D7nwHTdrqp7b12K85t7b9W9hA4Fp3HTjRcyqlc+WcGja5bNZRt4cN2viLtxEiRYf2ANs3ZO53sFP6N9pONJuT7GGGOMaSQpnpMqIgHgEeAKoAhYLCKvquqqxsjfhvuTPP7aA+z7/dPcNn12Tdr2oS2Z+1gv3CwHEeXsbltwWwhLOrZjeaIdhF0I+U/wB7w/GoKyPJcVa7sze10fBEHiECwXEi3CuA7ehOjS/QQ/2UlOVZxH77qOMWf2PeoAFeDZLU8RdaMkSAAQ1ziViQr+WfSPE3thjDHGGHMqGgSsV9WNqloFPA+MbqzMrSfVN3XRL6j600zumP5OTVpygAreSlLhUJz2l+5mVtyfLxo++BVT3o4Qj8DcT/JxIwKqOArNi70eVTcoyOotXjrC2PN70qFty2Mqb8yNsa1iS710RVlzoFF+wTHGGGPMSbKfPW/P0JfanuRsIiLyQdL2FFWdkrTdBdiatF0EDD7JZaphQSrwm389TcvfzeaOBbUBavEXcpn32Bk1ASpAPBGg9NMIrXpUwnYFrRudJlFIhBUnAYEKaL8kgZMAVNFde5Co9wqqcFaINu1zj7nMAQkQkABxjdf7LsvJOubzGWOMMSZ9qOqIVJeB+t1wAI32xNUpH6T++qU/k/vAy9y+YHpN2pweBbx41/kMDGwk6CZAIJYIsH5LJx4e+SYiQu70BP9ZcxYVjuC21HoTJ8SFzjNdHPWC1JpWVpCdpUl7KsOuO/YX2jviMLD1xSzePZ+4xmrSQxJmaNvLjvl8xhhjjDF1FAFdk7ZPB4obK/NTOkj97cv30ObXy5mwdEZN2pyeBdxx3XiqlgTZsLob+RdtIuAqoV0O9w59HxEAZcLF7zN7Wm/azN5D8Vdziec4EBAkoTji0LwwQCLsEir1Jj2r/3eoqIRmAYGW2bgJlx9N/Q65xzjUX+3607/G7uguNpatIyABEhrnnNx+jOzUaNNFjDHGGNN0LQZ6i0gPYBswFvhqY2V+ygap90+dRM7jq5mwtHaIvyZA9V/Uv7WkPWuXt+YyXclvb3jvoONb55STvUvRnNPo8h/Y3wsqW8dotmY3nfdG2NatHbGWDolsJVjuAkqoVYQf/fJ2gsV7ERH6X3YOkWbHPzQfCUS4K/8+Pq0sZme0hE6RLrTNan/c5zPGGGOMqaaqcRGZBLyN93j4U6q6srHyPyWD1Lv/+j2+PGM6w95dW5NWN0DFVZy4MlTW8Nux79U7x/aSXPBe00/AheZbBacigtCaso1bke7tUAU3JFTlBrxTisvg83qSdcGJvewdI53pGOl8Qs9pjDHGGKOqbwBvpCLvUy5IvfahO7ns3Y8Y9kptgDo3r4A7rr21NkBVBYWCtsVkZ4WoSATJDtQ+oBSNBvnLcxfXbJe3DVDRLuBNPG3RjF3teiMKUqUHzTh2qlxKdu2nW8fTTnItjTHGGGMy2ykVpI74n7sYsbiQ21+fVZP2fpd8fnDBLbjREAS9maOBSuibt4XCWFsOhNqzZ/lI7ui1gO7ZpWxf34y/v/IFlhd6r6BKhPACVKc2HNVQAFUlVOG9AUDUe8o/Kxzgw8KtFqQaY4wxxhzBKROkXvqnuxkzo5BJc2sfkprVJ58JXx9HZEuInO0uqFKZC20H72RZ69aourhlyvu7u/H+om5IRYKu968nmNfVm5kBxHIaWg9BcEMQLqt9U4MjDq1aZJ/EWhpjjDHGNA2nRJB61c+/y01/+5jx62oD1HndCphw2y1EIyGi+crefOjs7CfkOqytakfYrQBRhrYpYlTHTcTcAC9vOYPyA3ECYZcydRDveagG3xgmevAXoaDDRef1OHkVNcYYY4xpIpp8kDr03ju57aVVjNtQ+xT/ojb5/Ojcm3F2h6Gz947TEXnLWLfzdDYcaAeiuDHht33ncUWbrWQH4qjCdZ03ECgcz++mncfzHy7DiSUIldZ/Ryp4AWmOBHEioKq0zInw+3uuIRxq8pfcGGOMMeZza9IR05hf3c6419fWC1B/2O9m3KogzT6Fik7gBBMsLO7FnmiLmv0GtihheJutNAv6D0wJBIhB7GluufR5Xl+0mj05lezNdwlUJmi+JYAjQnYoRDzhcu+YSxg9qC+Fm0oIhwLkd2+PyGFWqDLGGGOMMTWabJD6pV9/m6unree2FfUD1Fgg5AWdVYqgdM7eTdG+2veLiipX7f2EiFN/yVEQurRYzp/vvJZfPjeDdSt3EQwIowb1YUB+V0RgSJ88WjX35p6e09teDWWMMcYYc6yaZJA65qHJjJpRyKRZtUudHhSgAihEWyk3XTCPUPM4c9bG2VDSAaJC1zfKSQwPkkgIjnPwvFLFQSTCuT068cL3byYWTxBwHBzHekmNMcYYY06Uhh5Nz1jDf/UdLn++kDvfnVaTVjdAVSAeEUaOXUCzllWEAi6DemwiUlTOGU+Xkr0jwcx3u+O69S+PEoesy2u2Q8HAKRugxhMuM1ds4LE35/PaolVUVMVSXSRjjDHGNBFNqif1uvsncs2r6/nWwtoAdV73Au4aNY7srUIg6qVJmziXTFxIs9Nqh/ObZ0VpNX0bjtsBHCgubsEjD5/PxElLSSQECbiEwi7FodHkOS0PWw43sYPKvT8hXjkDEILZo8jO/QnitDoZ1U6J/RVRxj30AsW791EejdEsHOIPr8zmr5PH0q1d06mnMcYYY1KjSQSpiUSCya/eyJffLuamhXNq0ud1L2DyVeOpCoXYeyFIzKV9oJyRo+fjBA4+R3RPmNzCfXQfmk/x7jKqKl1mTOvJgvmdGXRRMefftJb9OVkM6jj8sGVRjVL22Wg0UQJ4QXC84lXKYstp3m46IoHDHp8pHntzPp/s3EMs7gJQXhWjMhbnh/94i79OHpvi0hljjDEm02X8cH88HueGKbdz1c8+4Kb3kgLUbgVMHjXeW+pUAVdp4cT4w/WvEQ64B5+jymHzv9sz8dlrefT1e/jG3SNp0TFKOKeKNn1LaXV1ESXZDtsOZBOi/+HLU/EW6pZSHaB6YriJ7cSjM09YvVPtzaVragLUaq4qK7eUcKAymqJSGWOMMaapyOggVVW5bMx9jHtuHl9atqEmffnZXblz1Hjirh+gihIJxRg8fDkdsyoZFt5DZVUIVajYG2b18z3JO7eUkVePwXEcrrh2ABuua0+Pn21l8ORVBNvGWbS1J1MWXM4THy49bJkS8dWgZYcobBQ3tvYEX4HUOdzbtIRTc46uMcYYY06cjB7uX7l9Bw/kLuHKOStr0rYPbcmKhzrSa8lWVn/YE4krHc8s4apLF5IViPPK7nYUFnWBfRFiSyNUhhPk9K5gWN9P2bj+UkqkN0+tP5/y8gRznzmbWVnn4QZd3O4JOuTvYvGut/j3+s3k5AQoT0SIJhzim13K362idevTuOQrXXCkGWj5QWWNJUJs2tuGJZ/OJerGGNahgLNanZzXU5XuL+elxdPYlthI9zadufbsUbQItzjygUlUlUWfFjG3eDOnZWVz9Rl9aJfdvOb7KwecyQtzl1MVT9SkOSKcm9eJ5pHwCauLMcYYY05NotrAmp4pIiIjgAeBAPCkqv6moX275rbUrfv212xvHNKW1x8+i/Y5ZezZ35w/PTuay85dxsUXrkIVXt3Ujw925hF3HQLi4gh8q/NiJvXxglwHcIFXF/Xi/qmXcKCbH8MLCNC5Vwm9zt2GGxeiBMERFMEtV/SAsndiFaEDypNLCwmGSgEvgIslHF4s7ssj2wcScBwUJRwIck23/tx39pUn9CX/K9YX8fuVvyTSoQwJuWjcQRAmF9xHQaszj+ocCdflW+++wpxtm6mIxwgHgjjAE1eMYWiXPADKKqsY//BUtuwspbIqTiQcpFk4xDOTx3J6m9wTVh9jjDGmsYnIElW9INXlONWl1XC/eE8VPQKMBPoCN4hI34b275AUoM45I5+X/nQ+ZeFsom6Als3Lyc6u4OILVyECm/e35YOdecTcIIpDXINUuUH+XDyQ/fEsAiKICIlYkCnPDPECVEe8PyKoCMUb27O/tBmxQAAVL0AFcJoJTmshe1KA/Xti/PeVfShLXEjcFWIJh7c2FPDI9oHgQAIXF6UyEePfWz5k6e4tJ+z6qSr3v/0EkY4HcMIuIuCEXCSU4LG1/8vR/kLy2qbVzNm2mfJ4DAWiiTgViTi3v/sKMdcLvJtHwjx39438ftxVTLryYn78lSt48ye3WYBqjDHGmBMi3Yb7BwHrVXUjgIg8D4wGVh3uoFlnFnD7V8ZxQ2AuQeJUaZC9+7Lo32tjzT7LP+tKzK3/ZH1QXGZ+1pUvd/LmtH68rgMVLQOIetNZk6kr7Cg6jU4td9ablClBITLEu5w7igI8NHUUr+0ZhKuKtIkhPcrrzdSsTMR4o+gjBrTpfuQrcxSKPi0l1HM7Tqh+MBrVCrZXbqNz9ulHPM9L61ZQHq//zlNXlaUlxQzu1BUAxxGG9MljSJ+8z112Y4wxxphkaTXcLyLXASNU9ev+9s3AYFWdlLTPBGCCv3k2sKLRC2pOtrbAZ6kuhDmhrE2bJmvXpsfa1NNdVduluhCnunTrST3U5MyDomhVnQJMARCRD2zOSNNj7dr0WJs2TdauTY+1qUknaTUnFSgCuiZtnw4Up6gsxhhjjDEmRdItSF0M9BaRHiISBsYCr6a4TMYYY4wxppGl1XC/qsZFZBLwNt4rqJ5S1ZWHOWRK45TMNDJr16bH2rRpsnZteqxNTdpIqwenjDHGGGOMgfQb7jfGGGOMMcaCVGOMMcYYk34yNkgVkREiskZE1ovIvakujzk+IrJZRD4WkWUi8oGf1lpEpovIOv/naakupzk8EXlKRHaIyIqktAbbUUTu8+/dNSLypdSU2hxOA236UxHZ5t+vy0TkyqTvrE3TnIh0FZH3RKRQRFaKyF1+ut2rJi1lZJB6rMunmrR3iar2S3o3373AO6raG3jH3zbp7WlgRJ20Q7ajf6+OBc7yj3nUv6dNenma+m0K8IB/v/ZT1TfA2jSDxIHvqGof4EJgot92dq+atJSRQSpJy6eqahVQvXyqaRpGA8/4n58BvpzCspijoKqzgd11khtqx9HA86oaVdVNwHq8e9qkkQbatCHWphlAVber6lL/836gEOiC3asmTWVqkNoF2Jq0XeSnmcyjwDQRWeIveQvQQVW3g/efKtA+ZaUzn0dD7Wj3b2abJCIf+dMBqoeFrU0zjIjkAf2Bhdi9atJUpgapR1w+1WSMIap6Pt7UjYkiMizVBTInnd2/mesx4AygH7Ad+IOfbm2aQUQkB/gnMFlV9x1u10OkWbuaRpOpQaotn9pEqGqx/3MH8DLeUFKJiHQC8H/uSF0JzefQUDva/ZuhVLVEVROq6gJPUDv0a22aIUQkhBeg/kNV/+Un271q0lKmBqm2fGoTICLNRaRF9WdgOLACry1v8Xe7BXglNSU0n1ND7fgqMFZEskSkB9AbWJSC8pljVB3I+K7Bu1/B2jQjiIgA/wcUquofk76ye9WkpbRaFvVoHcfyqSY9dQBe9v7fJAg8q6pvichiYKqI3AZsAa5PYRnNURCR54AvAm1FpAj4CfAbDtGOqrpSRKYCq/CeNp6oqomUFNw0qIE2/aKI9MMb8t0MfBOsTTPIEOBm4GMRWeanfR+7V02asmVRjTHGGGNM2snU4X5jjDHGGNOEWZBqjDHGGGPSjgWpxhhjjDEm7ViQaowxxhhj0o4FqcYYY4wxJu1YkGpMhhORH4jISn+pymUiMthPf1JE+h7nOfNEZMWR92xZ6TS8AAAF70lEQVTw+J+KyD3+55+JyOXHcOwXReQ/x5v35yUiB07EPqkkIv399hcR+ax6+VIR6SQiKiJfSNp3p4i0EZFJInJr6kptjDEHy8j3pBpjPCJyEXAVcL6qRkWkLRAGUNWvp7RwPlX9carL0JSJSFBV43WSvw/8QlVVRBYCFwFvABcDH/o/54pIAfCZqu4SkaeAecBfGrH4xhjTIOtJNSazdcILMqIAqvpZ9VKzIjJTRC7wPx8QkV+KyHIRWSAiHfz0M/ztxX6PZ70eQhEJiMjv/H0+EpFvHqogfo/uGhGZARQkpT8tItf5ny8TkQ9F5GMReUpEsvz0ESKyWkTmAmOSjm3u77fYP270IfL9oojMEpGpIrJWRH4jIjeKyCI/nzP8/bqLyDt+Hd4RkW5+eg8Rme/n8fM65/5uUr3/53AN4fc+rxaRZ/z9XxKRZg3VW0QGici//O9Hi0iFiIRFJCIiG5Pa5y0RWSIic0TkzKRr+kcReQ+4v045WgDnqupyP2keXlCK//OPeEFr9fb7AKpaDmwWkUEYY0wasCDVmMw2DejqB2ePish/NbBfc2CBqp4HzAa+4ac/CDyoqgNpeE3u24C9/j4DgW+It0RiDREZgLc8cX+8IHNg3ZOISAR4GviKqp6DN5LzLT/9CeBqYCjQMemwHwDv+nlfAvxOvCV06zoPuAs4B29FnXxVHQQ8Cdzh7/Mw8FdVPRf4B/BQ0jV4zM/j06TyDsdbBnIQ0A8YICLDGrhG1QqAKX4e+4DbG6o3sNS/Xvj1XoF33QYDC/30KcAdqjoAuAd4NCmvfOByVf1OnTJcQO1ypeAFodVB6iDg39Sux34xXhBb7QO/LMYYk3IWpBqTwVT1ADAAmADsBF4QkXGH2LUKqJ7nuQTI8z9fBLzof362gWyGA18TbxnFhUAbvOAt2VDgZVUtV9V9eGt+11UAbFLVtf72M8Aw4Ew/fZ16S+D9vU7e9/p5zwQiQLdDnHuxqm73e5Q34AXvAB/XqWt1Hf8GVM/LHAI8l5SenPdwvOHxpX4569a7rq2qWh30/d3P45D19ofo14tIH7zg8Y/+9RgKzBGRHLwg8kW//o/j9ZxXe7GBJSo74f1bqLYI6O8H9yH/38xGEelFUk+qbwfQ+Qh1NMaYRmFzUo3JcH6gMhOYKSIfA7fg9dwli2ntGsgJju3eF7zevLePVJSjOM+xHivAtaq65gjnjiZ9dpO2XRquqzbwOTnvX6vq40fIu6FzVm8frt5zgJFADJiB124BvF5TByhV1X4NHFvWQHoFXjDvFUC1XETWA+Pxgm2ABcCVQHsg+dpG/OONMSblrCfVmAwmIgUikty71w/45BhOsQC41v88toF93sYblg/5eeYfYsh9NnCNiGT7cyKvPsR5VgN5fg8eeMPys/z0HtVzR4Eb6uR9h4iIn3d/jt/71NbxRmCu/3lenfTkvMf7PZqISBcRaX+EPLqJ9zAbePWYS8P1Bu+6TQbmq+pOvF7qM4GVfo/0JhG53s9fROS8o6hnIdCrTtq86nz87fl40yMWJP3yAt4UguN+q4MxxpxIFqQak9lygGdEZJWIfAT0BX56DMdPBu4WkUV4w8R7D7HPk8AqYKl4r6V6nDq9k6q6FHgBWAb8E6+HkDr7VAK34g1ff4zXy/lnP30C8Lr/4FRykP1zIAR85Of9c47fncCt/nW6GS9Iw/85UUQWA7lJ5Z2GNz1gvl/el4AWR8ijELjFz6M13lzXQ9bb338h0AEvWAX4CPgoKXC8EbhNRJYDK4F6D47VpaqrgVz/l4Vq84Ce1AapS4HTOXioH7ypDzOOlIcxxjQGOfiXaGPMqcR/+rzCf1XRWOAGVT1iIGTqE5E84D+qenaKi4KIfBvYr6pPHsMx/YG7VfXmk1cyY4w5ejYn1ZhT2wDgYX84vRRv3qLJfI8B1x/jMW2BH52EshhjzHGxnlRjjDHGGJN2bE6qMcYYY4xJOxakGmOMMcaYtGNBqjHGGGOMSTsWpBpjjDHGmLRjQaoxxhhjjEk7/w/osfBW8X9l6QAAAABJRU5ErkJggg==\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sapm_sd_scatter(tmy_data.Wspd, label='Wind speed', vmax=10);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Notice the use of the ``vmax`` keyword argument in the above example. The ``**kwargs`` pattern allows us to easily pass non-specified arguments to nested functions." - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [], - "source": [ - "def sapm_other_scatter(c_data, x_data, clabel=None, xlabel=None, aspect_equal=False, **kwargs):\n", - " \"\"\"Display a scatter plot of SAPM p_ac vs. something else.\n", - " \n", - " You need to re-execute this cell if you re-run the p_ac calculation.\n", - " \n", - " Parameters\n", - " ----------\n", - " c_data : array-like\n", - " Determines the color of each point on the scatter plot.\n", - " Must be same length as p_acs.\n", - " x_data : array-like\n", - " \n", - " kwargs passed to ``scatter``.\n", - " \n", - " Returns\n", - " -------\n", - " tuple of fig, ax objects\n", - " \"\"\"\n", - " \n", - " fig = plt.figure(figsize=(12,12))\n", - " \n", - " if aspect_equal:\n", - " ax = fig.add_subplot(111, aspect='equal')\n", - " else:\n", - " ax = fig.add_subplot(111)\n", - " sc = ax.scatter(x_data, p_acs['sapm'], c=c_data, alpha=1, cmap=mpl.cm.YlGnBu_r, **kwargs) \n", - " ax.set_xlim(0, None)\n", - " ax.set_ylim(0, None)\n", - " ax.set_xlabel('{}'.format(xlabel))\n", - " ax.set_ylabel('Sandia model power (W)')\n", - " fig.colorbar(sc, label='{}'.format(clabel), shrink=0.75)\n", - " \n", - " return fig, ax" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sapm_other_scatter(tmy_data.DryBulb, tmy_data.GHI, clabel='Temperature (deg C)', xlabel='GHI (W/m**2)');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next, we will assume that the SAPM model is representative of the real world performance so that we can use scipy's optimization routine to derive simulated PVUSA coefficients. You will need to install scipy to run these functions.\n", - "\n", - "Here's one PVUSA reference:\n", - "\n", - "http://www.nrel.gov/docs/fy09osti/45376.pdf\n" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [], - "source": [ - "def pvusa(pvusa_data, a, b, c, d):\n", - " \"\"\"\n", - " Calculates system power according to the PVUSA equation\n", - " \n", - " P = I * (a + b*I + c*W + d*T)\n", - " \n", - " where\n", - " P is the output power,\n", - " I is the plane of array irradiance,\n", - " W is the wind speed, and\n", - " T is the temperature\n", - " \n", - " Parameters\n", - " ----------\n", - " pvusa_data : pd.DataFrame\n", - " Must contain the columns 'I', 'W', and 'T'\n", - " a : float\n", - " I coefficient\n", - " b : float\n", - " I*I coefficient\n", - " c : float\n", - " I*W coefficient\n", - " d : float\n", - " I*T coefficient\n", - " \n", - " Returns\n", - " -------\n", - " power : pd.Series\n", - " Power calculated using the PVUSA model.\n", - " \"\"\"\n", - " return pvusa_data['I'] * (a + b*pvusa_data['I'] + c*pvusa_data['W'] + d*pvusa_data['T'])" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [], - "source": [ - "from scipy import optimize" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [], - "source": [ - "pvusa_data = pd.DataFrame()\n", - "pvusa_data['I'] = poa_irrad.poa_global\n", - "pvusa_data['W'] = tmy_data.Wspd\n", - "pvusa_data['T'] = tmy_data.DryBulb" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "optimized coefs:\n", - "[ 2.08877712e-01 9.94996955e-06 9.81779437e-04 -1.38247699e-03]\n", - "covariances:\n", - "[[ 1.37624634e-07 -1.00057042e-10 -8.03579294e-09 -2.38036259e-09]\n", - " [-1.00057042e-10 1.92677501e-13 -7.89149981e-13 -2.57386028e-12]\n", - " [-8.03579294e-09 -7.89149981e-13 1.28519705e-09 1.96643964e-10]\n", - " [-2.38036259e-09 -2.57386028e-12 1.96643964e-10 3.86946463e-10]]\n" - ] - } - ], - "source": [ - "popt, pcov = optimize.curve_fit(pvusa, pvusa_data.dropna(), p_acs.sapm.values, p0=(.0001,0.0001,.001,.001))\n", - "print('optimized coefs:\\n{}'.format(popt))\n", - "print('covariances:\\n{}'.format(pcov))" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "power_pvusa = pvusa(pvusa_data, *popt)\n", - "\n", - "fig, ax = sapm_other_scatter(tmy_data.DryBulb, power_pvusa, clabel='Temperature (deg C)',\n", - " aspect_equal=True, xlabel='PVUSA (W)')\n", - "\n", - "maxmax = max(ax.get_xlim()[1], ax.get_ylim()[1])\n", - "ax.set_ylim(None, maxmax)\n", - "ax.set_xlim(None, maxmax)\n", - "ax.plot(np.arange(maxmax), np.arange(maxmax), 'r');" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/tutorials/tracking.ipynb b/docs/tutorials/tracking.ipynb deleted file mode 100644 index 05b06587a8..0000000000 --- a/docs/tutorials/tracking.ipynb +++ /dev/null @@ -1,3353 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Tracking" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This tutorial introduces the ``pvlib.tracking`` module. This module currently only contains one function, ``tracking.singleaxis``, but we hope to add dual axis tracking support in the future. \n", - "\n", - "The ``tracking.singleaxis`` function is a port of the PVLIB MATLAB file ``pvl_singleaxis.m``. The algorithm is based on [Lorenzo et al, *Tracking and back-tracking*, Prog. in Photovoltaics: Research and Applications, **19**, 747-753 (2011)](http://dx.doi.org/10.1002/pip.1085). Most of the Python and MATLAB algorithms are identical except for name changes to conform to the PEP8 Python style guide. There are few spots, noteably in the calculation of [``surface_azimuth``](#Surface-tilt-and-azimuth), that our implementation differs from the MATLAB implementation.\n", - "\n", - "Table of contents:\n", - "1. [Standard Python and pvlib setup](#Setup).\n", - "2. [Walk through each step of the single axis tracking algorithm](#Single-axis-tracker-algorithm).\n", - "3. [Use the ``tracking.singleaxis`` function to explore the impacts of tracker tilt, tracker azimuth, and backtracking](#tracking.singleaxis-examples).\n", - "\n", - "This tutorial requires pvlib >= 0.6.0.\n", - "\n", - "This tutorial was written by\n", - "* Will Holmgren ([@wholmgren](http://wholmgren.github.io)), University of Arizona. March, 2015, July 2015, March 2016, April 2016, August 2018.\n", - "* Some of the text is based on the comments in ``pvl_singleaxis.m``, presumably written by the PVLIB_MATLAB team at Sandia National Laboratory." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setup" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Standard scientific Python imports." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# plotting modules\n", - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - " \n", - "# built in python modules\n", - "import datetime\n", - "\n", - "# python add-ons\n", - "import numpy as np\n", - "import pandas as pd" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import pvlib\n", - "from pvlib.tools import cosd, sind\n", - "from pvlib.location import Location" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Make some ``pvlib Location`` objects. These are the standard inputs to the solar position calculator." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location: \n", - " name: Tucson\n", - " latitude: 32.2\n", - " longitude: -111\n", - " altitude: 700\n", - " tz: US/Arizona\n", - "Location: \n", - " name: Johannesburg\n", - " latitude: -26.2044\n", - " longitude: 28.0456\n", - " altitude: 1753\n", - " tz: Africa/Johannesburg\n" - ] - } - ], - "source": [ - "tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')\n", - "print(tus)\n", - "johannesburg = Location(-26.2044, 28.0456, 'Africa/Johannesburg', 1753, 'Johannesburg')\n", - "print(johannesburg)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calculate solar position at those locations. To start, we'll choose times near an equinox. Later, we'll test against times near a solstice." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "times = pd.date_range(start=datetime.datetime(2014,3,23), end=datetime.datetime(2014,3,24), freq='5Min')\n", - "\n", - "ephem_tus = pvlib.solarposition.get_solarposition(times.tz_localize(tus.tz), tus.latitude, tus.longitude)\n", - "ephem_joh = pvlib.solarposition.get_solarposition(times.tz_localize(johannesburg.tz),\n", - " johannesburg.latitude, johannesburg.longitude)\n", - "ephemout = ephem_tus # default for notebook" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Single axis tracker algorithm" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The steps of the tracking algorithm are:\n", - "1. [Define input parameters](#Inputs).\n", - "2. [Transform solar position to South facing coordinate system](#Transform-to-south-facing-coordinate-system).\n", - "2. [Transform solar position to panel coordinate system](#Transform-to-panel-coordinate-system).\n", - "2. [Determine the ideal tracking angle when ignoring backtracking](#Tracking-angle).\n", - "2. [Correct the tracking angle to account for backtracking](#Backtracking).\n", - "2. [Calculate the panel normal vector based on tracking angle](#Calculate-panel-normal).\n", - "2. [Calculate the solar angle of incidence](#AOI).\n", - "2. [Calculate the panel tilt and azimuth](#Surface-tilt-and-azimuth)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Inputs" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, define the input parameters. From the ``tracking.singleaxis`` docstring..." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Help on function singleaxis in module pvlib.tracking:\n", - "\n", - "singleaxis(apparent_zenith, apparent_azimuth, axis_tilt=0, axis_azimuth=0, max_angle=90, backtrack=True, gcr=0.2857142857142857)\n", - " Determine the rotation angle of a single axis tracker when given a\n", - " particular sun zenith and azimuth angle. See [1]_ for details about\n", - " the equations.\n", - " Backtracking may be specified, and if so, a ground coverage\n", - " ratio is required.\n", - " \n", - " Rotation angle is determined in a panel-oriented coordinate system.\n", - " The tracker azimuth axis_azimuth defines the positive y-axis; the\n", - " positive x-axis is 90 degress clockwise from the y-axis and parallel\n", - " to the earth surface, and the positive z-axis is normal and oriented\n", - " towards the sun. Rotation angle tracker_theta indicates tracker\n", - " position relative to horizontal: tracker_theta = 0 is horizontal,\n", - " and positive tracker_theta is a clockwise rotation around the y axis\n", - " in the x, y, z coordinate system. For example, if tracker azimuth\n", - " axis_azimuth is 180 (oriented south), tracker_theta = 30 is a\n", - " rotation of 30 degrees towards the west, and tracker_theta = -90 is\n", - " a rotation to the vertical plane facing east.\n", - " \n", - " Parameters\n", - " ----------\n", - " apparent_zenith : float, 1d array, or Series\n", - " Solar apparent zenith angles in decimal degrees.\n", - " \n", - " apparent_azimuth : float, 1d array, or Series\n", - " Solar apparent azimuth angles in decimal degrees.\n", - " \n", - " axis_tilt : float, default 0\n", - " The tilt of the axis of rotation (i.e, the y-axis defined by\n", - " axis_azimuth) with respect to horizontal, in decimal degrees.\n", - " \n", - " axis_azimuth : float, default 0\n", - " A value denoting the compass direction along which the axis of\n", - " rotation lies. Measured in decimal degrees East of North.\n", - " \n", - " max_angle : float, default 90\n", - " A value denoting the maximum rotation angle, in decimal degrees,\n", - " of the one-axis tracker from its horizontal position (horizontal\n", - " if axis_tilt = 0). A max_angle of 90 degrees allows the tracker\n", - " to rotate to a vertical position to point the panel towards a\n", - " horizon. max_angle of 180 degrees allows for full rotation.\n", - " \n", - " backtrack : bool, default True\n", - " Controls whether the tracker has the capability to \"backtrack\"\n", - " to avoid row-to-row shading. False denotes no backtrack\n", - " capability. True denotes backtrack capability.\n", - " \n", - " gcr : float, default 2.0/7.0\n", - " A value denoting the ground coverage ratio of a tracker system\n", - " which utilizes backtracking; i.e. the ratio between the PV array\n", - " surface area to total ground area. A tracker system with modules\n", - " 2 meters wide, centered on the tracking axis, with 6 meters\n", - " between the tracking axes has a gcr of 2/6=0.333. If gcr is not\n", - " provided, a gcr of 2/7 is default. gcr must be <=1.\n", - " \n", - " Returns\n", - " -------\n", - " dict or DataFrame with the following columns:\n", - " * `tracker_theta`: The rotation angle of the tracker.\n", - " tracker_theta = 0 is horizontal, and positive rotation angles are\n", - " clockwise.\n", - " * `aoi`: The angle-of-incidence of direct irradiance onto the\n", - " rotated panel surface.\n", - " * `surface_tilt`: The angle between the panel surface and the earth\n", - " surface, accounting for panel rotation.\n", - " * `surface_azimuth`: The azimuth of the rotated panel, determined by\n", - " projecting the vector normal to the panel's surface to the earth's\n", - " surface.\n", - " \n", - " References\n", - " ----------\n", - " .. [1] Lorenzo, E et al., 2011, \"Tracking and back-tracking\", Prog. in\n", - " Photovoltaics: Research and Applications, v. 19, pp. 747-753.\n", - "\n" - ] - } - ], - "source": [ - "help(pvlib.tracking.singleaxis)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "azimuth = ephemout['azimuth']\n", - "apparent_azimuth = ephemout['azimuth']\n", - "apparent_zenith = ephemout['apparent_zenith']\n", - "axis_tilt = 10\n", - "axis_azimuth = 170\n", - "latitude = 32\n", - "max_angle = 65 \n", - "backtrack = True\n", - "gcr = 2.0/7.0\n", - "\n", - "times = azimuth.index" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Transform to south facing coordinate system" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The reference that this algorithm is based on used an Earth coordinate system where y points south. So, we first transform our solar position vector to this new coordiante system." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "az = apparent_azimuth - 180\n", - "apparent_elevation = 90 - apparent_zenith\n", - "x = cosd(apparent_elevation) * sind(az)\n", - "y = cosd(apparent_elevation) * cosd(az)\n", - "z = sind(apparent_elevation)\n", - "\n", - "earth_coords = pd.DataFrame({'x':x,'y':y,'z':z})\n", - "\n", - "earth_coords.plot()\n", - "plt.title('sun position in Earth coordinate system');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Transform to panel coordinate system" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Transform solar vector to panel coordinate system. For North-South oriented trackers parallel to the ground, the only difference is the sign of the x component. The x components are the same if ``axis_azimuth=180`` and opposite if ``axis_azimuth=0``." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "cos(axis_azimuth_south)=0.984807753012208, sin(axis_azimuth_south)=-0.17364817766693033\n", - "cos(axis_tilt)=0.984807753012208, sin(axis_tilt)=0.17364817766693033\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "axis_azimuth_south = axis_azimuth - 180\n", - "\n", - "print('cos(axis_azimuth_south)={}, sin(axis_azimuth_south)={}'\n", - " .format(cosd(axis_azimuth_south), sind(axis_azimuth_south)))\n", - "print('cos(axis_tilt)={}, sin(axis_tilt)={}'\n", - " .format(cosd(axis_tilt), sind(axis_tilt)))\n", - "\n", - "xp = x*cosd(axis_azimuth_south) - y*sind(axis_azimuth_south);\n", - "yp = (x*cosd(axis_tilt)*sind(axis_azimuth_south) +\n", - " y*cosd(axis_tilt)*cosd(axis_azimuth_south) -\n", - " z*sind(axis_tilt))\n", - "zp = (x*sind(axis_tilt)*sind(axis_azimuth_south) +\n", - " y*sind(axis_tilt)*cosd(axis_azimuth_south) +\n", - " z*cosd(axis_tilt))\n", - "\n", - "panel_coords = pd.DataFrame({'x':xp,'y':yp,'z':zp})\n", - "\n", - "panel_coords.plot()\n", - "plt.title('sun position in panel coordinate system');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Tracking angle" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - " The ideal tracking angle ``wid`` is the rotation to place the sun position \n", - " vector ``(xp, yp, zp)`` in the ``(y, z)`` plane; i.e. normal to the panel and \n", - " containing the axis of rotation. ``wid = 0`` indicates that the panel is \n", - " horizontal. Here, our convention is that a clockwise rotation is \n", - " positive, to view rotation angles in the same frame of reference as \n", - " azimuth. For example, for a system with tracking axis oriented south, \n", - " a rotation toward the east is negative, and a rotation to the west is \n", - " positive." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We use ``arctan2``, but PVLIB MATLAB uses ``arctan``. Here prove that we get the same result." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Calculate angle from x-y plane to projection of sun vector onto x-z plane\n", - "# and then obtain wid by translating tmp to convention for rotation angles.\n", - "wid = pd.Series(90 - np.degrees(np.arctan2(zp, xp)), index=times)\n", - "\n", - "# filter for sun above panel horizon\n", - "wid[zp <= 0] = np.nan\n", - "\n", - "wid.plot(label='tracking angle')\n", - "ephemout['apparent_elevation'].plot(label='apparent elevation')\n", - "plt.legend()\n", - "plt.title('Ideal tracking angle without backtracking');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "``arctan`` version" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "tmp = np.degrees(np.arctan(zp/xp)) # angle from x-y plane to projection of sun vector onto x-z plane\n", - "\n", - "# Obtain wid by translating tmp to convention for rotation angles.\n", - "# Have to account for which quadrant of the x-z plane in which the sun \n", - "# vector lies. Complete solution here but probably not necessary to \n", - "# consider QIII and QIV.\n", - "wid = pd.Series(index=times, dtype=float)\n", - "wid[(xp>=0) & (zp>=0)] = 90 - tmp[(xp>=0) & (zp>=0)]; # QI\n", - "wid[(xp<0) & (zp>=0)] = -90 - tmp[(xp<0) & (zp>=0)]; # QII\n", - "wid[(xp<0) & (zp<0)] = -90 - tmp[(xp<0) & (zp<0)]; # QIII\n", - "wid[(xp>=0) & (zp<0)] = 90 - tmp[(xp>=0) & (zp<0)]; # QIV\n", - "\n", - "# filter for sun above panel horizon\n", - "wid[zp <= 0] = np.nan\n", - "\n", - "wid.plot(label='tracking angle')\n", - "ephemout['apparent_elevation'].plot(label='apparent elevation')\n", - "plt.legend()\n", - "plt.title('Ideal tracking angle without backtracking');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Backtracking" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Account for backtracking; modified from [1] to account for rotation angle convention being used here." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "if backtrack:\n", - " axes_distance = 1/gcr\n", - " temp = np.minimum(axes_distance*cosd(wid), 1)\n", - "\n", - " # backtrack angle\n", - " # (always positive b/c acosd returns values between 0 and 180)\n", - " wc = np.degrees(np.arccos(temp))\n", - "\n", - " v = wid < 0\n", - " widc = pd.Series(index=times, dtype=float)\n", - " widc[~v] = wid[~v] - wc[~v]; # Eq 4 applied when wid in QI\n", - " widc[v] = wid[v] + wc[v]; # Eq 4 applied when wid in QIV\n", - "else:\n", - " widc = wid\n", - "\n", - "widc.plot(label='tracking angle')\n", - "#pyephemout['apparent_elevation'].plot(label='apparent elevation')\n", - "plt.legend(loc=2)\n", - "plt.title('Ideal tracking angle with backtracking');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Compare tracking angle with and without backtracking." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "tracking_angles = pd.DataFrame({'with backtracking':widc,'without backtracking':wid})\n", - "tracking_angles.plot()\n", - "#pyephemout['apparent_elevation'].plot(label='apparent elevation')\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Max angle" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Apply angle restriction." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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Ww197eXkxY8YMWrVqRWBgIC4uLvTu3RuwDBH97rvvUrVq1YR34QCNGjVi8eLFjz2oXK5cORo0aECFChUYOnQouXPnpn379oSGhhISEsLs2bMpUqQIAMWLF2fIkCFUr16d4OBgPvjggweW1apVK3r06EHjxo25d+8ePXv2pH79+knuovH19aVHjx4EBgbStGlTypYtmzDvl19+Yfz48QQFBVGpUiX+/fffhHk5cuRg+fLlvP322/z999+PfawSa9GiBf7+/pQoUYJevXpRvnx5MmXKlKz7irTjwsmD7BnTmIJLG5Mr9gw7Cw8k28ADhDTsiUui11Riwf6+AOw/71y7jWT4a+HUoqKi8PHxISIignLlyrFt2zZy5sz5wG3kOZM2/Xv5FNsWD8L9zlailDsXMlcgT0gDvNKlf+p9M3lmpt+0GFqVyctnTUrYIa3tyPDXIs1q2LAhkZGRxMbGMnTo0EeagUh7rkSc49tl77CeU9xL7wLps1rn/AP7/kn2cnLkb8j+C7a5kNRRSEMQTk2OG4j77ty9yXeL+vJnbBg3XV0oG52BGoFdqVS0Nj4ePs+0rAl7J7D01FIu385AbHxFPNycY++7NAQhhFMzmeKYuGQgS/5bxb/uLhSP82BQofdpUKXTcy9zWMVhHLhymtM55rPxdGNeLZS6dhs9jnO0NSGESMJvf42h2fTSTIxaTTrtQn+/DszpHvpCzQDA3dWdASGfoFziWXdmh43SGk+2EIQQTmf1378xY/9oDnnGkUOZ6Z7uVfq0/xp3N3ebraO8f2G02ZOjN47abJlGk4YghHAae45u5sfNA/nb8zaZ3My0VqXo12YCGX18bb4uN1dX0uk8/HvvjM2XbRTZZWQAewx//ThPGwX1acNKP5z50qVLtGzZ0qYZhXhWZy4e4d2pr/Lmzj7sc79F/fh8zG3wB590+jVFmsF9ObwKcJfzCaMFpHbSEAxgy+Gv4+Pjn+n2T2oI8fHxTx1W+uHMuXPnlhFEhWEibl5lyM+taL26JZvcLlE5Ngszq87g6zf/IE+OgBRff+HMhcE1mr2XnWMrQRqCjaXU8NeJ1ahRg8GDB1O9enW+++47wsLCqF69OmXKlOG1117j8mXLuIDjx4+nWLFiBAUF0aZNmySHxe7SpQsffPABNWvWZMCAAQ8MK33lyhWaNWtGcHAwwcHBbN++/ZHM4eHhlChhOcMiOjqarl27EhgYSKlSpdiwYQMAM2fOpHnz5tSrV4+CBQvSv3//FPwLiLQgOuYeX//em2YLarKMo5SI9eb7wC+Z0HMzJV4p+/QF2EjZPMUB2HLWxqMqG8SpjyH8b9f/bH7Ap0iWIgwoN+Cx81Ni+OsqVao8sp7IyEg2bdpEXFwc1atXZ+nSpfj5+TF37lyGDBnC9OnTGTVqFGfOnMHT05PIyEh8fX0fGRZ72rRpHD9+nLVr1+Lq6srMmTMT1tGvXz+qV6/O4sWLMZlMREVFPZI5PDw84fY//PADAAcPHuTo0aO8+uqrHD9+HIB9+/axd+9ePD09KVy4MH379iVv3rzP/gcQaZrZZGL6n1+w8MoCLrhDUZMrHwS8RdPabxmSp+ZLwYzcC/uv/AM0NSSDLTl1QzDCw8Nfly5dOmH46/tbDk9yf/hrIGH466QaQuvWrQE4duwYhw4dom7duoDlE8ly5bJ81lBQUBDt27enadOmNG36+Cdrq1atHhgH6b7169cza9YswDLyaqZMmfjvv0c+5jrB1q1b6du3L2AZkC9//vwJDaF27doJ4wgVK1aMs2fPSkMQz2TZpun8cmw8Rz1N+KN5N1MTujUa8djxhuwhh08mXExZCb99wrAMtuTUDeFJ7+RTSkoMf52U9Okt461orSlevDg7djx6LvQff/zB5s2bWbZsGZ9//jmHDx9+4rJe1JPGxUpuXUI8bMeBNUzZMZTdXnfI4mqmk3sF+rYej5eXbZ63L8rXNT834s4aHcMmDDmGoJQKV0odVErtU0qFWqdlUUqtUUqdsH7PbEQ2W7D18NdPUrhwYa5du5bQEOLi4jh8+HDCp43VrFmTr7/+msjISKKiop5pnbVr1+ann34CLFset27deuL9q1WrxuzZswE4fvw4586do3Dhwi9Un0i7Tp0/zHuTa9Nnz/sc8rhNY/PLLGy+mo/bTXOYZgCQP0NBTK7Xibj7Yq9lR2DkQeWaWuuSiUbdGwis01oXBNZZf0+VbD389ZN4eHiwYMECBgwYQHBwMCVLlmT79u2YTCY6dOiQcID3/fffx9fX96nDYif23XffsWHDBgIDAylTpgyHDx9+YuY+ffpgMpkIDAykdevWzJw584EtAyGS40bkFT6d0YL2a99go8cVKsf58Wut2YzsuoRsmfMYHe8RwdmLopRmw6kDRkd5YYYMf62UCgdCtNbXE007BtTQWl9WSuUCNmqtn/j2Uoa/FrYgzxnHEBsbzQ8L32XZ3a1cd3OhVEw6epUbRuWSDYyO9kRhF0/RZW1TamTrwfcN+hkd56kccfhrDaxWSmlgktZ6MpDj/ucoW5tC9qTuqJTqCfQEHvv5ukKI1MNsMjF71VfMu/Q74R6KV8xuvJO/Dy1q9DI6WrKUyfMyrvHZCbu6HXD8hvAkRjWEylrrS9Z/+muUUsk+N9TaPCaDZQshpQIKIVLeX9tnM/PQGA55xpNLQR/fJvRq+JmhZw49j1cylOPonZVcibpJDp/U+6l8hhxD0Fpfsn6/CiwGygFXrLuKsH6/akQ2IUTK2398Gz0nV+ajE6M47xZLa9cyLG63k7eafJHqmgFAo1fqoFxMzNq72ugoL8TuDUEplV4pleH+z8CrwCFgGdDZerPOwNLnXUdq/lhQYV/yXLGvC1fD+XDa63Td3os97jepF5+PuY3+5JMOM0nv/WwfUuNIWgVWAVM61p3daHSUF2LELqMcwGLrKZhuwByt9Sql1G5gnlLqTeAc0Op5Fu7l5UVERARZs2Z95DRPIRLTWhMREYGXl5fRUZxe1N3bjF30Nn/FhhHlqqgU68vbNUYTWKii0dFswtvdk+zuwVyM3UO8yYRbKtzKAQMagtb6NBCcxPQIoPaLLt/f358LFy5w7dq1F12USAO8vLwSrgwXtmc2mZi0YjgLry3mirsiOM6DLkH9qVOxrdHRbK66f3Xmn9vJkn920jKwstFxnovTXans7u5OgQIFjI4hRJq3bMtMZh0ZxzFPE/k1DPBrQ/t6g1AuzjmmZtdS9Zl3djTzjvwpDUEIIQD2HNnKj5v787fXbbK4muniUYm+bcbj4ZnO6GgpKq9vVjKrII5EbSA6LhYvdw+jIz0z52zVQgi7u3ztHP2nvU6Pnb3Z53GLBqYAFjT7iw/bTnH6ZnBf05ebguttJu9eaXSU5yINQQjxQqKj7/D17Ddpvbw+K93OUyYuEzOrTGVUt+X4ZUlbx2feKt8QTD4sOrHY6CjPRXYZCSGej9b8+ucX/HZpLuc8FEXi3Rlc9GPqVWxvdDLDeLt7UtinBkfv/smpiH95OWtOoyM9E9lCEEI8s02hC2k/uTT/uz6POAXv+DZn7pthaboZ3Ne7dBuUMjN2+29GR3lmsoUghEi2k+cOMu6vvmxxv463u6aVSxk+bPdjqr6ozNbqvBKM1+aX2HZ1KbHxffFwSz3/ZmULQQjxVDejbjB0Vmvar2vDNvfr1IzLxW/1FvNpx1nSDJLQ4pV2mN0i+G5H6jqWIA1BCPFYZpOJH5YMptncaizR/1A0Nh0/lBzNuB5rCMhdyOh4DuuDSi1wic/K/BOzjY7yTKQhCCGStHLHb7wxrQwTby4ngxk+ydGZmb1CqVSyvtHRHJ6HmxtVczTjnuspFhzcZnScZJOGIIR4wNEz++g9uRoDjo3kilscnd0rML9zKK3rfWR0tFRlaI0uYPJiwp6pRkdJttRztEMIkaJuRUUydmFvVpkPEuuheDU+Dx82mUguPxkK5nnk8MlEUKYGHIhayKrje6hXqLTRkZ5KthCESOPMJhNTlw6l5e9VWMRhCselY1KZsYzp/pc0gxc0qnZfMHsxasd4o6MkizQEIdKwjbvn02FqCN9FLsFNKwbm7MSsnqGUC3zN6GhOIa9vVkpmbEQEYfxxLPTpdzCYNAQh0qCzF47w7pQavHf4M864x9LGPYSFnXbS/rWPjY7mdL6q8w6YvPjfTsffSpBjCEKkIfei7zBuYR+Wx4Ryx11RNS4nHzWcSECuV4yO5rT8M2UhJHMzQm/9xuz9G2kfXMPoSI9lxEdo5lVKbVBKHVFKHVZKvWudPlwpdVEptc/69bq9swnhzH77aywtfqnAnPg95Iv3ZFzgSCb0WCvNwA6+ea0fypSJb8O+wWw2Gx3nsYzYZRQPfKi1LgpUAN5WShWzzvtWa13S+vWnAdmEcDq7/9lIp8nl+PLfmcQrTb/MzZjz5m5qlmlidLQ0I7O3Dw3zdiXG9Qyjtsw1Os5j2b0haK0va633WH++DRwB8tg7hxDO7nrkFT6e3pheu97hmPsdmusiLGizhR6NR+CSSj/zNzUbXrMzbvF5+P3kRCLv3TE6TpIMPaislAoASgF/Wye9o5Q6oJSarpTK/Jj79FRKhSqlQuVzk4V4lNlkYsKiAbRaWItVrmcoF5ORmdVm8lmX+WT0SfJlJezAw82NfiU/RLvd4J0/xxgdJ0mGNQSllA+wEHhPa30L+Al4GSgJXAbGJnU/rfVkrXWI1jrEz8/PbnmFSA02hi6m7bQQJt3+kwxmF77I14eJvbZT9OWyRkcTQNcydcnpUol9txaz5cw/Rsd5hCENQSnljqUZzNZaLwLQWl/RWpu01mZgClDOiGxCpEYXr57h/Sl1eO/QUM67xdLBvRwLOu+mSc23jI4mHvJ9vaEo7U7/jcMd7gCzEWcZKWAacERr/U2i6bkS3awZcMje2YRIbeLjYvlu7lu0XdGQde7/UjnOjzn1FjGg3TQ8PLyMjieSUMTPn9q5uhDlcoQvN/9udJwHKK21fVeoVBVgC3AQuN8eBwNtsewu0kA40EtrfflJywoJCdGhoY5/9Z8QKWH19l+ZfOhrjnlqCsa40DNwIPUqtjU6lkiG2Ph4Ks5qQiz/8VfLFeTOmMVu61ZKhWmtQ5KcZ++GYEvSEERadO7ycUav6Mkm9+v4mjVNfOrwbvOxuKWiT+YSsOSfnXyyqyeveL3Gkjaj7bbeJzUEeQYJkUrExsUybsE7LL23jTvuilrxufioyVT8/fIbHU08h6bFKjB9fx1ORv/FwsPNaFG8ktGRZCwjIVKD5Vt/ptXMEH6J3YF/vDvfFh/BuO5rpBmkchMbfIKLOROf7xzGzei7RseRhiCEIztz8ThvTanB4FNjuOVionf6uvz2Zhg1yzY3OpqwgdwZs/BWiUGY3P6lx7KRRseRXUZCOKL4+Di+nd+Ppfc2c8ddUS8uNx81nUaObHmNjiZs7K1yr7Pi5F/8c3c5vx94jTZB1QzLIlsIQjiYNTvn0np6CLNit5Ir3o1xJUYwuvtqaQZObHrjEbiYMvPV7uH8dzfKsBzSEIRwEP9eO8sHU+rw8dHPueIWT3fvGsx9M4zqIbJ7yNnl8MnEe8FDMLtdo9uyEYblkF1GQhjMbDIxefHHzL35FxHuimpx2RnQaCp5c75kdDRhR91CXmXpiVc5GbOSmWGv0qVMHbtnkC0EIQy0Y9+fdJwawg931pDB7MpXBQcyocd6aQZp1PQmw3GJ9+Ob/Z9xPjLC7uuXhiCEASJvX2fQ9Ea8va8/pzxiaeNegQVdQmlQuYPR0YSBsnpn4LOKX2J2uUWnZR/ZfawjaQhC2NnPf46k1dzqrHANp0ysLz/X/o0h7abg4e5hdDThAJoWq0DFzB24rkP5ZO0Mu65bGoIQdnLg1N90mVSeMdd+xw3FJ7l7MKXnVgrnCzI6mnAwPzX8gPTmIiy7+AObzxy223qlIQiRwu7G3GHYLx14c/ObHPK4QzNdhPntttO6bj+jowkH5ebqytT6Y1Hanfc39OdOTIxd1isNQYgUtHTTdFrNqsAi836Kx3oxpcKPjOgyHx/vjEZHEw6uRM58dCr4MbGu5+iy9DO7rFMaghAp4PK18/SdXJuhZ77hnouZ932bMKPHLkoVNe4qVJH6fA1u/W4AAB0YSURBVFy1Jfnda3P03nLGb1+a4uuThiCEDWmzmamLBtF+WT02eVyhdnwufm/6F92afIFykZebeHazm3+Je7w/U45+yd5LZ1J0XfIMFcJGDh/bRo/JZfnu9gq8za6MKtifb7uvIXtWf6OjiVQsk5c339f5Bq1M9Fz1HnfjUu54gkM1BKVUPaXUMaXUSaXUQKPzCJEccTF3GftzO7pv68lezxiaugQzv9NOXq/cyehowklUzl+UtgU+INr1NF0Wp9zQFg7TEJRSrsAPQH2gGNBWKVXM2FRCPNnW7b/QaWY5ZnIQ/3hvfqo0ic87/ko6T2+jowknM6RGOwI86nDk3rIUO57gMA0BKAec1Fqf1lrHAr8DTQzOJESSbv13iWGT69Lv+P8Id4fOGRsxt/vflCtc2ehowon92mwk7vH+TD06mtsx92y+fEca3C4PcD7R7xeA8g/fSCnVE+gJkC9fPvskE+I+rVny50imXprDWU9XSsdlZ3jjaRTIXsDoZCINyOTlzYQ633I79h4ZPNPZfPmO1BBUEtP0IxO0ngxMBggJCXlkvhAp5eLZ/Yxd2ZM16e7i5+LKR3nfpnOt3kbHEmlMpfxFUmzZjtQQLgCJPwHEH7iUEiu6ExNDek/PlFi0cELaFMf0+f349c4mbni5UEMXYkSbGWROn8noaELYlCMdQ9gNFFRKFVBKeQBtgGW2XsnRaxeo8mtjBq+ZZutFCyd0cP9Kek4JYVzMVrzNnvwv6H9832WRNAPhlBxmC0FrHa+Uegf4C3AFpmutbT6qU4BvdjxdMrLswgRCDhejefGKtl6FcAKxd28yfm5XFnCMeE9FE8/KDG33PZ4yIqlwYkrr1LsbPiQkRIeGhj7z/U7fuELTxW+AMrOw8TwKZsuVAulEarVp02R+PPod/3i5UCTWh4G1f6DMS6WNjiWETSilwrTWIUnNc6RdRnbzUpYcjKw0BrOKosPyd1L0yj+RekReP8enk2vw3pnxXHBXdM3SirlvbpNmINKMNNkQABoVLUvL/O9z1+U47RZ+YnQcYSStWbzsE9otrsdizwhKxudmTqNVfNDoU1xk/CGRhqTpZ/vwWp0o6Pk6p2JWMWzdz0bHEQY4f3o3708qy6f/LSVGuTGgwAfM6L6a/H4y/pBIe9J0QwD4tcUIvM2FWHhuPNvOHjE6jrATc1w0U2Z3peOGzmzwiqYmxVnYbisdqnU1OpoQhknzDcHb3ZMp9ceitCv91n0sxxPSgAN7ltBjWlnGx4fiY07H6FLfMr7z7/jKh9aINC7NNwSAoJwBdHzlI2Jdz/LmkpFGxxEpJCbqOqOnNaT7/iEc8NQ09arJoq5/Uze4rtHRhHAI0hCs+ld7A3+3Ghy8s4SZYWuNjiNsbMO68XSYU41ZbmcJiM/M1Nq/83nr8Xi4OcylOEIYThpCIrOajMTVlI1v9n/G+cgIo+MIG/jv6kk+mVSF989P5rKbK939OvD7m5sJzlfC6GhCOBxpCIn4+WRkWIWRmF1u0XlZf6PjiBdhNjN/cX/aLmvMUq+blDbl5bemq3n39QFyKqkQjyGvjIc0L16R8r5tuaZ3MXrLfKPjiOcQfmon/SaHMOLWSuJxZ/DLA5n+5kryZpEr0oV4EmkISfi+wfu4x/sz68S3XLh5w+g4IpnMcdFM/LUzHTd1Y7NXLLVVIIs6bKdtlfZGRxMiVZCGkARvd08+q/QZ2uUOPVcMMzqOSIY9YYvpOq0sP5j2kNmUjm9CvmNcpzlk9EpvdDQhUg1pCI/RqGg5ink35Hz8RmaErTE6jniMe1ERfDWtIb0OfMJRT03LdLVZ2PVvapWobXQ0IVIdaQhPMKnhIFziszFu31dE3rtjdBzxkNXrJ9BuTjXmuJ3llfjMTKs1j2FvjMNdTiUV4rlIQ3iCzN4+vFdyMGa3a/Ra8ZXRcYTV9aunGTipGh+fm0iEq+Itvw7M6b6FEvmLGR1NiFRNGsJTdC1TF3+3Ghy+s5xVx/cYHSdt05o5SwbRbllD/vD6jwomf35rtoY+rw9AqaQ+klsI8Szs2hCUUqOVUkeVUgeUUouVUr7W6QFKqXtKqX3Wr4n2zPU0kxp8ijJ7MWzbSMxms9Fx0qSTp3bx1qSyfHVzBQo3hr3Sn0lvriKPnEoqhM3YewthDVBCax0EHAcGJZp3Smtd0vrV2865niifrx+v5e7KXZfjjNoy1+g4aYo5PpbvZ3ej86au7PSKpr4qwcIOO2lZuaPR0YRwOnZtCFrr1VrreOuvO4FUM+j8l3W64x7vz+8nfyTi7m2j46QJu/Yso+O0ECbH7yZHvCffhYzn606/4ePlbXQ0IZySkccQugErE/1eQCm1Vym1SSlV9XF3Ukr1VEqFKqVCr127lvIprTzc3PgwZADaLZKPV0+w23rTojt3IvlsemP67B/MKQ8z7dLVZF63XVQrUcvoaEI4NaW1tu0ClVoL5Exi1hCt9VLrbYYAIUBzrbVWSnkCPlrrCKVUGWAJUFxrfetJ6woJCdGhoaE2zf801X/uTIT5MEsbr+DlrEmVKV7EHxsmMunkBM54KErFZGRQvUkUlYHohLAZpVSY1jokqXk230LQWtfRWpdI4ut+M+gMNATaa2s30lrHaK0jrD+HAaeAQrbOZgufVf0YVCwfrfnG6ChO5cq1s3w4uQaDzk7glgv082vPrJ7bpBkIYUd2vYJHKVUPGABU11rfTTTdD7ihtTYppV4CCgKn7ZktuWq8VIL8O2twIno1f5/rQfl8BY2OlLppzcxln/LL9UVc81BUi8/D0BY/kyOzbH0JYW/2PoYwAcgArHno9NJqwAGl1H5gAdBba+2wo8p9Xftj0IrhW74zOkqqdvx0KN0nl2ds5BI8za58/kp/JnT/S5qBEAax6xaC1vqVx0xfCCy0Z5YXUTxHXl5JV4eT0asJvXCSEP8kyxKPER8fx3fz3mJh9A5iPBSNKcGQjtPwloHohDCUXKn8nEbUeNuylbBZzjh6Ftv3rqD99BBmxv1NnnhPJpT9jpGdf5dmIIQDkFHAnlNQzgACPGsQHruRfZfDKZkrwOhIDi3qzk1Gze3Cny4n8HLTdPGqxfsdxuHi6mp0NCGElWwhvIDPqvcFNCM2/WR0FIe2aMMkWs+pzFLXk5SKzcjMOnP5sPX30gyEcDCyhfACyuR5mRyu5Thxbz3Xom7h55PR6EgO5cLVcEYt7comj+tkd9F85NeWzq8PMTqWEOIxZAvhBfUq2Rlcohm55RejozgMs8nET4sH0X55A7a4X+PVuFzMbbFGmoEQDk4awgt6I7AKnqYANl5aRLzJZHQcw+07tpVOU8vz460V+Jpd+LrQQMZ2X00239xGRxNCPIU0BBtoFPAGJrerTAn7y+gohomOucuIXzrQc3svjnvc4w2XIOZ2+pvXKnUwOpoQIpmkIdjAR5XfAFMGfjvyu9FRDPHXjjm0nlWe+eb9FI5Nx5RKkxjacTZenjIqqRCpiRxUtoH0np4U9qnO0bsrCb9xlYAs2Y2OZBfXIy/x5YIurHO7hK+L5u2MjejZYaScPSREKiVbCDbSNbgFSpn4flequeD6hfy84nNaL6zLGvfLVI3LxuxGf9C72ShpBkKkYtIQbKR+wdK4xedi8yXnPo5wPHwvb06qwJiIeXiaFSPyvcOEHhvxzx5gdDQhxAuSXUY24uLiQki2uuyMnMXf50443Sio8fFxfDvvLRZF7yDWQ9HEXJiB7Wfg4y3XXgjhLGQLwYbeLtcKgJ/C5hmcxLa2hC2h7fQQZsX9Tb54DyaUGcsXXRdKMxDCycgWgg2VzBWAt7kg+29sMTqKTdy8HcGo+Z1Z5RJOejdNV69avCfjDwnhtKQh2FhQlorsjJzFkasXKJrd3+g4z23OqjHMujCDi+4uVIzxZUD9ybyct5jRsYQQKUh2GdlY40I1AJhzYK2xQZ7TsfB9dJ9Uia+u/IxGMTh3Nyb33CrNQIg0wK4NQSk1XCl10fppafuUUq8nmjdIKXVSKXVMKfWaPXPZUv1CpcHkw47L242O8kxiY2MYObsbnTe0Z4/nLRqbX2J+2820rfu+0dGEEHZixC6jb7XWYxJPUEoVA9oAxYHcwFqlVCGtdaobHMjN1ZWc7sH8G7ePeJMJt1Swv33l9l+ZdOhrTnlqgmI9eLfiV5QLqmd0LCGEnTnKLqMmwO9a6xit9RngJFDO4EzPrVLuiuB6h5XHw4yO8kSXrp2l35TaDDg+iv9cTfTxeZVfuodKMxAijTKiIbyjlDqglJqulMpsnZYHOJ/oNhes0x6hlOqplApVSoVeu3YtpbM+l3ZBdQFYcmyDwUmSZjaZmLDoI9oue51N7leoGZeD3xr/wVstxsoZREKkYTbfZaSUWgvkTGLWEOAn4HNAW7+PBboBKonb66SWr7WeDEwGCAkJSfI2Rivslxv3eH8O/bfL6CiP+PvAasbtHMghzzheNrkyqMjH1Kvc0ehYQggHYPOGoLWuk5zbKaWmACusv14A8iaa7Q9csnE0u/L3LsaZ6E2YzWZcXIzfM3crKoJR87uxSp3Cw13Tzq0cH7adiIeHp9HRhBAOwt5nGeVK9Gsz4JD152VAG6WUp1KqAFAQcLy3188gIGMBcInheMRFo6MwZ9X/aPV7dZa7nKZMTEZ+rjmbQe1nSDMQQjzA3mcZfa2UKolld1A40AtAa31YKTUP+AeIB95OjWcYJVbcryAbrsPfF45QxC/v0++QAo6eDmXM2nf42/MOuYGBObvQ/rUPDckihHB8dm0IWuvH7qzWWo8ERtoxTooqm7sIHIGDV08Ar9p13dExdxk7rxfL4/cQ565oaCrIwDbTyeST+el3FkKkWTJ0RQoJzOmPNnlx5uZpu6530YbJzDj5PeEeEBjnxbuVRlO+RC27ZhBCpE7SEFKIu5sr7uacXLl3zi7rO3buIGNX9WGHZyR+Lmb6+jale8MRchqpECLZpCGkIF83f26YD6ToOqJj7jJmfh9WxO0mxkPxenw+BjSfRpbMuZ5+ZyGESEQaQgrKkz4/1+9uJTL6Jr5emWy+/IXrf2LmqR8J94CgOE/6VhhJhaD6Nl+PECJtkIaQgl7J/BL770LopaPUeam8zZZ7/Ow+xvz1Njs8b5HdxUzfTE3p3kh2DwkhXow0hBRUMkdhFl6EPZeP2aQhREffYcz8XqyI30ush6K+qQADWkwhq29SF4YLIcSzkYaQgkLyvowOdeNYxKkXXtaidROYcXqS5eyhWC/6VvyKikH2PZ1VCOHcpCGkoNwZ00NcNs5HhT/3Mo6dDmPs2nfY4RlFdhdNX9/mdG84THYPCSFsThpCCnJxUXir3FyLPc7o3aPRaLTWCd/N2vzANLM2A6DRxMXHce3MPg6YzxLnoahvepmBLaeSJZOfwVUJIZyVNIQU5u9ZipOmw8w/Ph+FwkW5oFAoZflywQWlLIO93p8XHxuDa8xN3DBRJN6HPpVHUb5EbYMrEUI4O2kIKaxqrtfZt74gG4bUIavPkweTO3fyENcXfkzpe2FcVDmJqPY5QTXfsFNSIURaZ/y4zE7uteI5MWtYdfjfx97m9s0bbJ/Ul5y/VKfI3TB2vdQXvwF7pRkIIexKthBSWNFcGXjZLz3L91+iffn8D8wzm0yELZ9IwL7RVOI/Qn1fI6DN15TLFWBMWCFEmiYNIYUppWgYlJvx609w9VY02TN6AXAibAPmlQMoG3+M426F+K/+dELKyCB0QgjjyC4jO2gUnAut4Y+Dl4m4fI7Qca0puLwpWeOvsKvkl7wyaCeFpBkIIQwmWwh28Er2DATm8CR6/Ri8Vi8giHh25O5IiTYjKJcpi9HxhBACsHNDUErNBQpbf/UFIrXWJZVSAcAR4Jh13k6tdW97ZksxWsOxP/k1pj+ZTBfY412JbM2/pmLBQKOTCSHEA+z9iWmt7/+slBoL3Ew0+5TWuqQ986S4q0dg1SA4vYGM2QpzvvYcSpdtYHQqIYRIkiG7jJTlSqw3AOfccX4nAjaNgt3TwNMH6v0PVfZN8rq6G51MCCEey6hjCFWBK1rrE4mmFVBK7QVuAZ9orbckdUelVE+gJ0C+fPlSPOgziY+BXZNh02iIvQ1lukDNIZA+m9HJhBDiqWzeEJRSa4GkxmMeorVeav25LfBbonmXgXxa6wilVBlgiVKquNb61sML0VpPBiYDhISEaNumf05aw5HlsOZT+O8MvFIHXv0Cshc1OpkQQiSbzRuC1rrOk+YrpdyA5kCZRPeJAWKsP4cppU4BhYBQW+ezuYt74K8hcG47+BWF9guh4BMfAiGEcEhG7DKqAxzVWl+4P0Ep5Qfc0FqblFIvAQWB0wZkS76bF2HdCDjwO3hng4bfQqlO4Cpn8gohUicj/nu14cHdRQDVgBFKqXjABPTWWt+we7LkiImCbd/B9u9Bm6HK+1DlA/DKaHQyIYR4IXZvCFrrLklMWwgstHeWZ2I2wb45sP5ziLoCxZtDneGQOf/T7imEEKmC7N9IjlMbYM1Q+Pcg5AmB1r9C3nJGpxJCCJuShvAkl/bB2uFwegNkygctpkGJFmD9QBshhHAm0hCScuM0rP8CDi2EdFngta+g7Jvg9uQPuBFCiNRMGkJiUddg82gInQ4ublD1I6jcD7wyGZ1MCCFSnDQEsJw5tOMH2D4e4u5B6U5QfQBkzGV0MiGEsJu03RBibsPuqZZTSO9GQNHGUPtTyFbQ6GRCCGF3abMhRN+yjDm0YwLc+88y1ET1gZC3rNHJhBDCMGmvIURdhQllIToSCr5m2TXkX+bp9xNCCCeX9hqCT3ao8BYUeg1ylzI6jRBCOIy01xAAagw0OoEQQjgcF6MDCCGEcAzSEIQQQgDSEIQQQlhJQxBCCAFIQxBCCGElDUEIIQQgDUEIIYSV0lobneG5KaWuAWcTTcoGXDcojq1JLY7HWeoAqcVR2aOW/Fprv6RmpOqG8DClVKjWOsToHLYgtTgeZ6kDpBZHZXQtsstICCEEIA1BCCGElbM1hMlGB7AhqcXxOEsdILU4KkNrcapjCEIIIZ5fqt1CUEopozMIIexLXvcpK1U1BKVUoFJqAIBO5Zs2Sqn8Sql8RuewBaVULmd4oSqlchidwVaUUoWd6Pklr3s7SRUNQVmMAeYAbkopd6MzPS+lVDql1LfASuBnpdRb1ump4m+RmFLKUyn1E7AJmKyUam50puehlPK5/zdRSk1KrXXcp5TKDPwDdFdKZTM6z/OS1739OVSYJ/ADcgFltNYjtdZxRgd6Af2A3FrrYsBw4D0ArbXZyFDPqTGQS2tdCFgBjFBKFTI40zNRSuUBfsHyWngdS3P72tBQLy4PcBRID5Q0OMuLkNe9nTlsQ1BKZUj0ayagoNY6Vin1mlLqI6XUa0Zle1ZKKR/rdxcsj/kB66zcwB9KqSJGZXseSilX648m4BqA1nopsAropZTyNSrbc4gGpmqt39Va/wvMA/YppYIMzvVMrO+m7++2uwksADRQUymV1bhkzy7Ru+aMpOLXPVheK9Z6FKngde9wDUEp9YpSah4wQynVQCmVBYgCtimlRgD9sbyIxymlOt//Z+uIEtXys1KqAeCK5Z3bS0qpLcD/gNvAWqVUXUfeD2/dJz1RKZVOa22yTvYAbiilclt/Hw2UBopb7+Nw9SSuA0BrHQFsTHSTvMBLwDED4j2Th/4mOtH+9dJAOuATIDvQVinVVCnlZVjYp3iolvvvml2Azanwdf/Aa8VazyUgn8O/7rXWDvOF5QmwAhgKNAF+BMZY532P5YUbbP29JZZ3QRmMzp3MWiYCo63zMmF5J5rT+vvbwJ9GZ35CLVWAXYAZGJJoei5rjfUAD+u04cACozMntw6sp14nuk1hYJHRWZ+zFhfr95eBd60/r8eyJTfQ6MzP8fzKDIwHNqSi1/3janFJDa97R9tCyAVEAl9qyy6IkUBVpVQ1YCoQB5QB0FovALICGR6zLKM9XMvnQBWlVGMsWzxXAG/rbacC3g68aR8BdAMKAV2VUgEAWuvLwF9Ac/5/X/XvwH8OegDw4Trya+srM5FSwCkApVQPB9519MjfRP//O+uKWA4oHwL+BX4DziulvJNelOEe9/z6D8sbjmhSz+s+yVqw7L7zAS7iwK97h2oIWuuLQAhQN9HvPwFDtdb7sVzF10gpNci66XUIuGFU3id5Qi19tWWXS16gp1KqC5Z/qrux7Pt1OFrrI8BJrfVJYA3wWaLZPwLngYFKqQ+xNITT2gEPACZRxwh45EyP2kBWpdRCoB2Wf0YO5yl/k9+xPJ+6aa3bAUuwPN8cZ9dEIk+pZQ0wC2iYSl73SdZifePxL1AQ6OGwr3uDNquyATkS/a4AN+vPXYCtieb5AnOBStbfiwMfAm2M3rx6zlrmW2soDLwF/OHItTz8M5Z3ZieB2onmeQHVge+ADqm1Duv0lcBhoKXRdbxoLYlu52J0HTb4uwQ6+us+ObUAQUAfR3rdP1CXAQ/kJ1gOrC4ARlmnuSSa74plv+d7iab9DJQw+sGyUS2zUmMt9+uxfn8PWGH9uS3gbXR+G9WhgBpG12CjWryMzu+Mzy8b1JLO6PxPrM2OD6IXMArLQRU/IAdwF8hinZ+4w5YBzgBNgQ5AGFDM6AcrLdby0G0T1/Uflk3dKVj2iSp7ZU6hOqY5yj9RW/1NjK7DmZ5fzlbLY2u0w4Pom+jnXIl+roHlYFfxh25//0yJJlj2v20Gqhj9QKX1WhLNz4Tl9NIDQGWpQ2qRWlJPLU+tNQUfxKzABGA1lqv0ilinuwGvAuHAWCynaLXl/zexHK57Si0P3N8FCJI6pBapJfXUkuyaU+iBrGB9kIYD1bBciDE+0fxs/P+754ZYjrS7G/1gSC2poxZnqUNqkVoc7SulTjuNBL7RWg/XWm8GtgMopbyUUkprfV1bz5nWWq/Acl5+nhTK8qKkFsfjLHWA1CK1OBC3lFio1vqoUuq89YHTWC4oe0VrHQ2WIQ201lopVRT4AjiL5dJuhyO1OF4tzlIHSC1ILQ7lhbYQlFIeD/2ecOGL1vqO9YEECOD/B3YC8FRKdcRyfcF6rXUXrXXsi2R5UVIL4GC1OEsdILVYSS0O7rkbglKqD7BVKfWlUqoDWK7GS3zVZ6KfC2DZH4eyjDXvjeUqvfJa6x+eN4OtSC2OV4uz1AFSi3Wa1JIKPHNDUEplU0rNwDKgWT/gONBCWcfjuL9fTSkVpP9/bJXiQEGl1EqgFZaj8Ve11vdsUcTzklocrxZnqQOkFqSW1Ecn/6j7/eEYXIEKiaa3Ab5N9HsOLB84sgXLuN/5gFtYRiptmtz1peSX1OJ4tThLHVKL1JKav5L1IAJjsIxT82qi6a5YRvU7h+WDUb7HMjBYCaDfQ8voanShUotj1uIsdUgtUoszfD3tgVRYRrP8FWiPZfS+t7Fe4o9l7O/74+C3Av7mwUu2PYwuUGpx3FqcpQ6pRWpxlq+nnXaaAcs4969prW8rpa5j+dzZN4BZWuutiW57CMsokZmUUje1hSMddZdaHK8WZ6kDpBapxQk88aCy1voWlsuzu1gnbQP2AuWVUjnv305ZPs5uKHBPax2pra3VkUgtjleLs9QBUovU4hySc5bRYqCkUiqX1joKy7m4MUBOZfkA6U+AHcBxrfXbKZjVFqQWx+MsdYDU4qicqZYUlZyGsBXLx8J1AdBa7wHKAT7a8slfW7Fsjg1PoYy2JLU4HmepA6QWR+VMtaSopw5dobW+rJRaAoxSSp3EMohTNBBvnb8xRRPakNTieJylDpBaHJUz1ZLS7n/U29NvqFR9LEfhKwETtNYTUjJYSpJaHI+z1AFSi6NyplpSSrIbAoBSyh3L1d3xKRfJPqQWx+MsdYDU4qicqZaU8EwNQQghhPNKqc9DEEIIkcpIQxBCCAFIQxBCCGElDUEIIQQgDUEIIYSVNAQhhBCANAQhhBBW0hCEEEIA8H+SAINLnkpcNQAAAABJRU5ErkJggg==\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "tracker_theta = widc.copy()\n", - "tracker_theta[tracker_theta > max_angle] = max_angle\n", - "tracker_theta[tracker_theta < -max_angle] = -max_angle\n", - "\n", - "tracking_angles['with restriction'] = tracker_theta\n", - "tracking_angles.plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Calculate panel normal" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calculate panel normal vector in panel x, y, z coordinates.\n", - "y-axis is axis of tracker rotation. ``tracker_theta`` is a compass angle\n", - "(clockwise is positive) rather than a trigonometric angle." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "panel_norm = np.array([sind(tracker_theta), \n", - " tracker_theta*0,\n", - " cosd(tracker_theta)])\n", - "\n", - "panel_norm_df = pd.DataFrame(panel_norm.T, columns=('x','y','z'), index=times)\n", - "panel_norm_df.plot()\n", - "plt.title('panel normal vector components in panel coordinate system')\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "sun position in vector format in panel-oriented x, y, z coordinates. We've already seen this above, but it's good to look at it again after calculating the tracker normal vector." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sun_vec = np.array([xp, yp, zp])\n", - "\n", - "panel_coords = pd.DataFrame(sun_vec.T, columns=('x','y','z'), index=times)\n", - "\n", - "panel_coords.plot()\n", - "plt.title('sun position in panel coordinate system');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### AOI" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calculate angle-of-incidence on panel" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "aoi = np.degrees(np.arccos(np.abs(np.sum(sun_vec*panel_norm, axis=0))))\n", - "aoi = pd.Series(aoi, index=times)\n", - "\n", - "aoi.plot()\n", - "plt.title('angle of incidence');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The power produced by the tracker will be primarily determined by the cosine of the angle of incidence." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "cosd(aoi).plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Surface tilt and azimuth" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calculate panel tilt ``surface_tilt`` and azimuth ``surface_azimuth``\n", - "in a coordinate system where the panel tilt is the \n", - "angle from horizontal, and the panel azimuth is\n", - "the compass angle (clockwise from north) to the projection \n", - "of the panel's normal to the earth's surface. \n", - "These outputs are provided for convenience and comparison \n", - "with other PV software which use these angle conventions." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Project normal vector to earth surface. First rotate about x-axis by angle -axis_tilt so that y-axis is also parallel to earth surface, then project." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "cos(axis_azimuth_south)=0.984807753012208, sin(axis_azimuth_south)=-0.17364817766693033\n", - "cos(axis_tilt)=0.984807753012208, sin(axis_tilt)=0.17364817766693033\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Calculate standard rotation matrix\n", - "print('cos(axis_azimuth_south)={}, sin(axis_azimuth_south)={}'\n", - " .format(cosd(axis_azimuth_south), sind(axis_azimuth_south)))\n", - "print('cos(axis_tilt)={}, sin(axis_tilt)={}'\n", - " .format(cosd(axis_tilt), sind(axis_tilt)))\n", - "\n", - "rot_x = np.array([[1, 0, 0], \n", - " [0, cosd(-axis_tilt), -sind(-axis_tilt)], \n", - " [0, sind(-axis_tilt), cosd(-axis_tilt)]])\n", - "\n", - "# panel_norm_earth contains the normal vector expressed in earth-surface coordinates\n", - "# (z normal to surface, y aligned with tracker axis parallel to earth)\n", - "panel_norm_earth = np.dot(rot_x, panel_norm).T\n", - "\n", - "# projection to plane tangent to earth surface,\n", - "# in earth surface coordinates\n", - "projected_normal = np.array([panel_norm_earth[:,0], panel_norm_earth[:,1], panel_norm_earth[:,2]*0]).T\n", - "\n", - "# calculate magnitudes\n", - "panel_norm_earth_mag = np.sqrt(np.nansum(panel_norm_earth**2, axis=1))\n", - "projected_normal_mag = np.sqrt(np.nansum(projected_normal**2, axis=1))\n", - "#print('panel_norm_earth_mag={}, projected_normal_mag={}'.format(panel_norm_earth_mag, projected_normal_mag))\n", - "\n", - "projected_normal = (projected_normal.T / projected_normal_mag).T\n", - "\n", - "panel_norm_earth_df = pd.DataFrame(panel_norm_earth, columns=('x','y','z'), index=times)\n", - "panel_norm_earth_df.plot()\n", - "plt.title('panel normal vector components in Earth coordinate system')\n", - "\n", - "projected_normal_df = pd.DataFrame(projected_normal, columns=('x','y','z'), index=times)\n", - "projected_normal_df.plot()\n", - "plt.title('panel normal vector projected to surface in Earth coordinate system');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Surface azimuth" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calculate surface_azimuth. This takes a few steps. We need to take the arctan, rotate from the panel system to the south-facing Earth system and then rotate the Earth system to a north-facing Earth system. We use the ``arctan2`` function, but PVLIB MATLAB uses ``arctan``." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# calculation of surface_azimuth\n", - "# 1. Find the angle.\n", - "surface_azimuth = pd.Series(np.degrees(np.arctan2(projected_normal[:,1], projected_normal[:,0])), index=times)\n", - "surface_azimuth.plot(label='orig')\n", - "\n", - "# 2. Rotate 0 reference from panel's x axis to it's y axis and\n", - "# then back to North.\n", - "surface_azimuth = 90 - surface_azimuth + axis_azimuth\n", - "\n", - "# 3. Map azimuth into [0,360) domain.\n", - "surface_azimuth[surface_azimuth<0] += 360\n", - "surface_azimuth[surface_azimuth>=360] -= 360\n", - "surface_azimuth.plot(label='compass angle north')\n", - "\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "``arctan`` version" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\ipykernel_launcher.py:7: RuntimeWarning: invalid value encountered in greater\n", - " import sys\n", - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\ipykernel_launcher.py:8: RuntimeWarning: invalid value encountered in less\n", - " \n", - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\ipykernel_launcher.py:9: RuntimeWarning: invalid value encountered in greater\n", - " if __name__ == '__main__':\n", - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\ipykernel_launcher.py:10: RuntimeWarning: invalid value encountered in less\n", - " # Remove the CWD from sys.path while we load stuff.\n", - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\ipykernel_launcher.py:14: RuntimeWarning: invalid value encountered in less\n", - " \n", - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\ipykernel_launcher.py:14: RuntimeWarning: invalid value encountered in greater\n", - " \n", - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\ipykernel_launcher.py:15: RuntimeWarning: invalid value encountered in less\n", - " from ipykernel import kernelapp as app\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# calculation of surface_azimuth\n", - "# 1. Find the angle.\n", - "surface_azimuth = pd.Series(np.degrees(np.arctan(projected_normal[:,1]/projected_normal[:,0])), index=times)\n", - "surface_azimuth.plot(label='orig')\n", - "\n", - "# 2. Clean up atan when x-coord or y-coord is zero\n", - "surface_azimuth[(projected_normal[:,0]==0) & (projected_normal[:,1]>0)] = 90\n", - "surface_azimuth[(projected_normal[:,0]==0) & (projected_normal[:,1]<0)] = -90\n", - "surface_azimuth[(projected_normal[:,1]==0) & (projected_normal[:,0]>0)] = 0\n", - "surface_azimuth[(projected_normal[:,1]==0) & (projected_normal[:,0]<0)] = 180\n", - "surface_azimuth.plot(label='x or y 0 corrected')\n", - "\n", - "# 3. Correct atan for QII and QIII\n", - "surface_azimuth[(projected_normal[:,0]<0) & (projected_normal[:,1]>0)] += 180 # QII\n", - "surface_azimuth[(projected_normal[:,0]<0) & (projected_normal[:,1]<0)] += 180 # QIII\n", - "surface_azimuth.plot(label='q2, q3 corrected')\n", - "\n", - "# 4. Skip to below\n", - "\n", - "# From PVLIB MATLAB...\n", - "# at this point surface_azimuth contains angles between -90 and +270,\n", - "# where 0 is along the positive x-axis,\n", - "# the y-axis is in the direction of the tracker azimuth,\n", - "# and positive angles are rotations from the positive x axis towards\n", - "# the positive y-axis.\n", - "# Adjust to compass angles\n", - "# (clockwise rotation from 0 along the positive y-axis)\n", - "# surface_azimuth[surface_azimuth<=90] = 90 - surface_azimuth[surface_azimuth<=90]\n", - "# surface_azimuth[surface_azimuth>90] = 450 - surface_azimuth[surface_azimuth>90]\n", - "\n", - "# finally rotate to align y-axis with true north\n", - "# PVLIB_MATLAB has this latitude correction,\n", - "# but I don't think it's latitude dependent if you always\n", - "# specify axis_azimuth with respect to North.\n", - "# if latitude > 0 or True:\n", - "# surface_azimuth = surface_azimuth - axis_azimuth\n", - "# else:\n", - "# surface_azimuth = surface_azimuth - axis_azimuth - 180\n", - "# surface_azimuth[surface_azimuth<0] = 360 + surface_azimuth[surface_azimuth<0]\n", - "\n", - "# the commented code above is mostly part of PVLIB_MATLAB.\n", - "# My (wholmgren) take is that it can be done more simply.\n", - "# Say that we're pointing along the postive x axis (likely west).\n", - "# We just need to rotate 90 degrees to get from the x axis\n", - "# to the y axis (likely south),\n", - "# and then add the axis_azimuth to get back to North.\n", - "# Anything left over is the azimuth that we want,\n", - "# and we can map it into the [0,360) domain.\n", - "\n", - "\n", - "# 4. Rotate 0 reference from panel's x axis to it's y axis and\n", - "# then back to North.\n", - "surface_azimuth = 90 - surface_azimuth + axis_azimuth\n", - "\n", - "# 5. Map azimuth into [0,360) domain.\n", - "surface_azimuth[surface_azimuth<0] += 360\n", - "surface_azimuth[surface_azimuth>=360] -= 360\n", - "surface_azimuth.plot(label='compass angle north')\n", - "\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The final ``surface_azimuth`` is given by the curve labeled \"compass angle north\". This is in degrees East of North." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Surface tilt" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calculate ``surface_tilt``." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "surface_tilt = (90 - np.degrees(np.arccos(\n", - " pd.DataFrame(panel_norm_earth * projected_normal, index=times).sum(axis=1))))\n", - "\n", - "surface_tilt.plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "According to the MATLAB code, surface_tilt is \"The angle between the panel surface and the earth surface, accounting for panel rotation.\"" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## ``tracking.singleaxis`` examples " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With backtracking" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - } - ], - "source": [ - "tracker_data = pvlib.tracking.singleaxis(ephemout['apparent_zenith'], ephemout['azimuth'],\n", - " axis_tilt=0, axis_azimuth=180, max_angle=90,\n", - " backtrack=True, gcr=2.0/7.0)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "tracker_data.plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Without backtracking" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "tracker_data = pvlib.tracking.singleaxis(ephemout['apparent_zenith'], ephemout['azimuth'],\n", - " axis_tilt=0, axis_azimuth=180, max_angle=90,\n", - " backtrack=False, gcr=2.0/7.0)\n", - "tracker_data.plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Explore ground cover ratio" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:431: RuntimeWarning: divide by zero encountered in double_scalars\n", - " axes_distance = 1/gcr\n", - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - } - ], - "source": [ - "aois = pd.DataFrame(index=ephemout.index)\n", - "\n", - "for gcr in np.linspace(0, 1, 6):\n", - " tracker_data = pvlib.tracking.singleaxis(ephemout['apparent_zenith'], ephemout['azimuth'],\n", - " axis_tilt=0, axis_azimuth=180, max_angle=90,\n", - " backtrack=True, gcr=gcr)\n", - " aois[gcr] = tracker_data['aoi']" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "aois.plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Ensure that max_angle works." - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "tracker_data = pvlib.tracking.singleaxis(ephemout['apparent_zenith'], ephemout['azimuth'],\n", - " axis_tilt=0, axis_azimuth=180, max_angle=45,\n", - " backtrack=True, gcr=2.0/7.0)\n", - "tracker_data.plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Play with axis_tilt." - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n", - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:560: RuntimeWarning: invalid value encountered in arccos\n", - " surface_tilt = 90 - np.degrees(np.arccos(dotproduct))\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "aois = pd.DataFrame(index=ephemout.index)\n", - "tilts = pd.DataFrame(index=ephemout.index)\n", - "azis = pd.DataFrame(index=ephemout.index)\n", - "thetas = pd.DataFrame(index=ephemout.index)\n", - "\n", - "for tilt in np.linspace(0, 90, 7):\n", - " tracker_data = pvlib.tracking.singleaxis(ephemout['apparent_zenith'], ephemout['azimuth'],\n", - " axis_tilt=tilt, axis_azimuth=180, max_angle=90,\n", - " backtrack=True, gcr=2/7.)\n", - " aois[tilt] = tracker_data['aoi']\n", - " tilts[tilt] = tracker_data['surface_tilt']\n", - " azis[tilt] = tracker_data['surface_azimuth']\n", - " thetas[tilt] = tracker_data['tracker_theta']\n", - " \n", - "fig, axes = plt.subplots(2, 2, figsize=(16,12), sharex=True)\n", - "ax = axes[0,0]\n", - "aois.plot(ax=ax)\n", - "ax.set_ylim(0,90)\n", - "ax.set_title('aoi')\n", - "\n", - "ax = axes[0,1]\n", - "thetas.plot(ax=ax)\n", - "ax.set_ylim(-90,90)\n", - "ax.set_title('tracker theta')\n", - "\n", - "ax = axes[1,1]\n", - "tilts.plot(ax=ax)\n", - "ax.set_title('surface tilt')\n", - "ax.set_ylim(0,90)\n", - "\n", - "ax = axes[1,0]\n", - "azis.plot(ax=ax)\n", - "ax.set_title('surface azimuth')\n", - "ax.set_ylim(0,360);\n", - "#ax.hlines([0, 90, 180, 270, 360], *ax.get_xlim(), colors='0.25', lw=1, alpha=0.25)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The simple case of ``axis_tilt = 0`` shows the panels pointing directly East in the morning and directly West in the afternoon. If ``axis_tilt > 0`` then the panels always point South of East and South of West. The panels point towards South near sunrise, rotate towards East in mid-morning, then back towards Sorth around noon, continuing towards West in the mid-afternoon, and finally back towards Sorth near sunset.\n", - "\n", - "Next, what happens if we try to point the panels North?" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n", - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:560: RuntimeWarning: invalid value encountered in arccos\n", - " surface_tilt = 90 - np.degrees(np.arccos(dotproduct))\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "aois = pd.DataFrame(index=ephemout.index)\n", - "tilts = pd.DataFrame(index=ephemout.index)\n", - "azis = pd.DataFrame(index=ephemout.index)\n", - "thetas = pd.DataFrame(index=ephemout.index)\n", - "\n", - "for tilt in np.linspace(0, -90, 7):\n", - " tracker_data = pvlib.tracking.singleaxis(ephemout['apparent_zenith'], ephemout['azimuth'],\n", - " axis_tilt=tilt, axis_azimuth=180, max_angle=90,\n", - " backtrack=True, gcr=2/7.)\n", - " aois[tilt] = tracker_data['aoi']\n", - " tilts[tilt] = tracker_data['surface_tilt']\n", - " azis[tilt] = tracker_data['surface_azimuth']\n", - " thetas[tilt] = tracker_data['tracker_theta']\n", - " \n", - "fig, axes = plt.subplots(2, 2, figsize=(16,12), sharex=True)\n", - "ax = axes[0,0]\n", - "aois.plot(ax=ax)\n", - "ax.set_ylim(0,90)\n", - "ax.set_title('aoi')\n", - "\n", - "ax = axes[0,1]\n", - "thetas.plot(ax=ax)\n", - "ax.set_ylim(-90,90)\n", - "ax.set_title('tracker theta')\n", - "\n", - "ax = axes[1,1]\n", - "tilts.plot(ax=ax)\n", - "ax.set_title('surface tilt')\n", - "ax.set_ylim(0,90)\n", - "\n", - "ax = axes[1,0]\n", - "azis.plot(ax=ax)\n", - "ax.set_title('surface azimuth')\n", - "ax.set_ylim(0,360);\n", - "#ax.hlines([0, 90, 180, 270, 360], *ax.get_xlim(), colors='0.25', lw=1, alpha=0.25)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The 0 tilt case is repeated for reference. For small Northward tilts, such as -15, the panels point towards North near sunrise, rotate towards the east in mid-morning, then back towards North around noon, continuing towards West in the mid-afternoon, and finally back towards North near sunset.\n", - "\n", - "The algorithm returns ``nan`` for larger Northward tilts at midday since the beam component of the irradiance would be 0." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Play with axis_azimuth." - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "aois = pd.DataFrame(index=ephemout.index)\n", - "tilts = pd.DataFrame(index=ephemout.index)\n", - "azis = pd.DataFrame(index=ephemout.index)\n", - "thetas = pd.DataFrame(index=ephemout.index)\n", - "\n", - "for azi in np.linspace(90, 270, 5):\n", - " tracker_data = pvlib.tracking.singleaxis(ephemout['apparent_zenith'], ephemout['azimuth'],\n", - " axis_tilt=0, axis_azimuth=azi, max_angle=90,\n", - " backtrack=True, gcr=2/7.)\n", - " aois[azi] = tracker_data['aoi']\n", - " tilts[azi] = tracker_data['surface_tilt']\n", - " azis[azi] = tracker_data['surface_azimuth']\n", - " thetas[azi] = tracker_data['tracker_theta']\n", - " \n", - "fig, axes = plt.subplots(2, 2, figsize=(16,12), sharex=True)\n", - "ax=axes[0,0]\n", - "aois.plot(ax=ax)\n", - "ax.set_ylim(0,90)\n", - "ax.set_title('aoi')\n", - "\n", - "ax=axes[0,1]\n", - "thetas.plot(ax=ax)\n", - "ax.set_ylim(-90,90)\n", - "ax.set_title('tracker theta')\n", - "\n", - "ax=axes[1,1]\n", - "tilts.plot(ax=ax)\n", - "ax.set_title('surface tilt')\n", - "ax.set_ylim(0,90)\n", - "\n", - "ax=axes[1,0]\n", - "azis.plot(ax=ax)\n", - "ax.set_title('surface azimuth')\n", - "ax.set_ylim(0,360);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This discussion of the ``axis_azimuth`` parameter assumes ``axis_tilt=0`` and no backtracking.\n", - "\n", - "Say that your ``axis_azimuth=90 or 270``. Your ``surface_azimuth`` has no choice but to point to North (0), or South (180). Near the equinox, the solar azimuth is very nearly 90 at sunrise and sunset, so the ``surface_tilt`` is going to be poorly defined until the sun is a bit above the horizon. At midday, the ``surface_azimuth`` should definitely point South (180), ``surface_tilt`` will very nearly equal the latitude, and AOI should be nearly 0.\n", - "\n", - "Next, let's study the ``axis_azimuth=135`` case. This corresponds to a tracker oriented from SSE-NNW. At sunrise, on the equinox, the tracker is going to point East of North by 45 degrees. Sometime before solar noon, the panels should lay flat, and then point West of South by 45 degrees, or East of North by 225." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Test the southern hemispere." - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "tracker_data = pvlib.tracking.singleaxis(ephem_joh['apparent_zenith'], ephem_joh['azimuth'],\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=True, gcr=2.0/7.0)\n", - "tracker_data.plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Test different seasons." - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n", - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "times = pd.date_range(start=datetime.datetime(2014,3,23), end=datetime.datetime(2014,3,24), freq='5Min')\n", - "\n", - "ephem_tus = pvlib.solarposition.get_solarposition(times.tz_localize(tus.tz), tus.latitude, tus.longitude)\n", - "ephem_joh = pvlib.solarposition.get_solarposition(times.tz_localize(johannesburg.tz),\n", - " johannesburg.latitude, johannesburg.longitude)\n", - "\n", - "tracker_data = pvlib.tracking.singleaxis(ephem_tus['apparent_zenith'], ephem_tus['azimuth'],\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=True, gcr=2.0/7.0)\n", - "tracker_data.plot()\n", - "plt.title('Tucson, March')\n", - "plt.ylim(-100,100)\n", - "\n", - "tracker_data = pvlib.tracking.singleaxis(ephem_joh['apparent_zenith'], ephem_joh['azimuth'],\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=True, gcr=2.0/7.0)\n", - "tracker_data.plot()\n", - "plt.title('Johannesburg, March')\n", - "plt.ylim(-100,100);" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n", - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "times = pd.date_range(start=datetime.datetime(2014,6,23), end=datetime.datetime(2014,6,24), freq='5Min')\n", - "\n", - "ephem_tus = pvlib.solarposition.get_solarposition(times.tz_localize(tus.tz), tus.latitude, tus.longitude)\n", - "ephem_joh = pvlib.solarposition.get_solarposition(times.tz_localize(johannesburg.tz),\n", - " johannesburg.latitude, johannesburg.longitude)\n", - "\n", - "tracker_data = pvlib.tracking.singleaxis(ephem_tus['apparent_zenith'], ephem_tus['azimuth'],\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=True, gcr=2.0/7.0)\n", - "tracker_data.plot()\n", - "plt.title('Tucson, June')\n", - "plt.ylim(-100,100)\n", - "\n", - "tracker_data = pvlib.tracking.singleaxis(ephem_joh['apparent_zenith'], ephem_joh['azimuth'],\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=True, gcr=2.0/7.0)\n", - "tracker_data.plot()\n", - "plt.title('Johannesburg, June')\n", - "plt.ylim(-100,100);" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n", - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "times = pd.date_range(start=datetime.datetime(2014,12,23), end=datetime.datetime(2014,12,24), freq='5Min')\n", - "\n", - "ephem_tus = pvlib.solarposition.get_solarposition(times.tz_localize(tus.tz), tus.latitude, tus.longitude)\n", - "ephem_joh = pvlib.solarposition.get_solarposition(times.tz_localize(johannesburg.tz),\n", - " johannesburg.latitude, johannesburg.longitude)\n", - "\n", - "tracker_data = pvlib.tracking.singleaxis(ephem_tus['apparent_zenith'], ephem_tus['azimuth'],\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=True, gcr=2.0/7.0)\n", - "tracker_data.plot()\n", - "plt.title('Tucson, December')\n", - "plt.ylim(-100,100)\n", - "\n", - "tracker_data = pvlib.tracking.singleaxis(ephem_joh['apparent_zenith'], ephem_joh['azimuth'],\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=True, gcr=2.0/7.0)\n", - "tracker_data.plot()\n", - "plt.title('Johannesburg, December')\n", - "plt.ylim(-100,100);" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n", - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - }, - { - "data": { - "image/png": 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\n", 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+kdNxlFJ+5ERhCa8v3MmQztEMcbD1DX5awAEmjkzQVrhSyus+Wr6HwzlW69tpflvA+8Q2Y2S3lry1eJe2wpVSXpFXWMwbC3dyZpcWDOoU5XQc/y3gYPWFZ50o4r2lu52OopTyA+//tIcjuYVMHp3gdBTAzwv4ae0jGdW9FW8tTiHrhLbClVI1l1NQzL9/3MnwxBj6d3S+9Q1+XsABJo9O4Hh+Me8sTnE6ilLKxaYu283RvCImj/KN1jc0gALes20kF5zWmneX7uZobqHTcZRSLpSdX8SURSmc260l/TpUeP12R/h9AQerLzy3sJh/L9JWuFLq1L23dDdZJ4qY5EOtb2ggBTyxVQTj+7Rl6rLdZGQXOB1HKeUiWSeKeGtxCqO6t6J3+2ZOx/kfDaKAg7VfeEFxCW8s3Ol0FKWUi/xn6S6O5xf7XOsbGlAB7xwTzm9Pb8+Hy/dwMCvf6ThKKRfIyivincW7GNOzFb3aRTod51caTAEH+PPIBEpLDa8tSHY6ilLKBd5ekkJ2QTGTRjl/1GVFGlQBj41qzBUDY/l05V72Hc1zOo5SyocdzS3kP0t3c8FprenepqnTcSrUoAo4wB3ndEEQXp2nrXClVOXeWpxCbmExE0f6ZusbGmABb9usEdcM7sBna/ax+3Cu03GUUj7ocE4B7y3bzYWntaFr6win41SqygIuIrEiskBEkkRks4hMtJ+PEpG5IrLD/us7e7dX4bZz4gkOFF6Zt8PpKEopH/TGwp3kF5X4xBkHT6Y6LfBi4G5jTHfgDOB2EekB3A/MM8YkAPPsx67QMiKMPwyJ48t1+0lOz3Y6jlLKh6RlneCDn/fw29PbEx8T7nSck6qygBtj0owxa+z72UAS0A64GJhqv2wqcEldhawLtwzvTFhwIC/9oK1wpdQv/jU/GWMMfx7pe/t9l3dKfeAiEgf0A5YDrYwxaWAVeaClt8PVpejwUG4YFse3G9JISjvudByllA/YeySPaStTuXJgLLFRjZ2OU6VqF3ARCQc+ByYZY6pd8URkgoisEpFVGRkZNclYZyacFU9EWBAvzd3udBSllA94ed4OAgOEO8/1/dY3VLOAi0gwVvH+yBjzhf30IRFpYw9vA6RX9F5jzBRjzABjzICYmBhvZPaayMbB/PHMzszZcoiN+7KcjqOUclByeg4z1u7j92d0pFXTMKfjVEt19kIR4B0gyRjzosegr4Hr7PvXAV95P17du/HMOJo1DuaFuducjqKUctBLP2wnLDiQW8+OdzpKtVWnBT4M+D1wroiss28XAE8Do0VkBzDafuw6EWHBTBjemYXbMli956jTcZRSDthy4DjfbkjjxmGdiA4PdTpOtVVnL5QlxhgxxvQ2xvS1b7OMMUeMMSONMQn238z6CFwXrh8aR4vwEF7UVrhSDdKLc7fRNCyIm4d3djrKKWlwR2JWpHFIEH8aEc/S5CP8tPOI03GUUvVo7d6j/JCUzoThnYlsFOx0nFOiBdx27RkdadU0lBfnbsMY43QcpVQ9eWHOdqKahHDDsE5ORzllWsBtYcGB3HFOF1buPsrC7b61u6NSqm78tPMIS5IPc9vZ8TQJDXI6zinTAu7hyoEdiI1qxHPfb6O0VFvhSvkzYwwvzNlGq6ahXHtGR6fj1IgWcA8hQQHcNTqRLWnHmbUpzek4Sqk69OP2DFbtOcod5yYQFhzodJwa0QJezvg+7UhsFc6Lc7ZTXFLqdBylVB2wWt/bad+8EVcOiHU6To1pAS8nMED4y3ldSTmcy2er9zkdRylVB2ZvPsTG/VlMHJlASJB7y6B7k9eh0T1a0a9DM16et4P8ohKn4yilvKik1PDS3O10jmnCpf3aOR2nVrSAV0BEuGdMV9Ky8vnw5z1Ox1FKedFX6/az7VA2k0clEhTo7hLo7vR1aGh8C87s0oLXF+4kp6DY6ThKKS8oKC7hxbnb6dm2KRee1sbpOLWmBfwk7hnTlczcQt5enOJ0FKWUF3yyfC/7jp7gvrHdCAgQp+PUmhbwk+gT24yxPVvz9uJdZOYWOh1HKVULOQXFvDo/mSGdozkroYXTcbxCC3gV7j4vkbzCYt5YmOx0FKVULbyzeBdHcgu5d2xXrLNku58W8CoktIrg0n7tmfrTHtKyTjgdRylVA0dyCnhrcQpjeraiX4fmTsfxGi3g1TBpVALGGF6ZpxdAVsqNXl+4k7zCYu4Z09XpKF6lBbwaYqMa87vBHZm+ah+7Duc6HUcpdQr2Hc3jg5/2cFn/9nRpGeF0HK/SAl5Nt5/ThdCgAF7UCyAr5Sr//GEHCEwcleh0FK/TAl5NMRGh3DisE9+sP8DmA3oBZKXcYPuhbL5Ys48/nNGRds0aOR3H67SAn4Kb7St2vDBHW+FKucHzs7fRJCSI28/p4nSUOqEF/BRENgrmTyPimb81nRW7XHsJUKUahNV7jjJnyyEmDO9M8yYhTsepE1rAT9H1Q+No3TSMp75L0kuvKeWjjDE88/1WWoSHcOOZ7rtUWnVpAT9FjUICmTw6gbV7jzF780Gn4yilKvDj9gxW7MrkznMTXHmptOrSAl4Dvz29PQktw3n2+20U6UUflPIppaWGZ7/fRmxUI64e1MHpOHVKC3gNBAUGcN/YbqQczmXaylSn4yilPHyz4QBb0o5z9+iurr5YQ3X496erQyO7t2RQXBT//GEHuXq6WaV8QmFxKS/M2U631hGM79PW6Th1rsoCLiLviki6iGzyeO5REdkvIuvs2wV1G9P3iAj3nd+NwzkFvL14l9NxlFLApyv3sjczj3vHdvWL08VWpTot8PeAsRU8/5Ixpq99m+XdWO7Qv2NzxvZszZRFOzmcU+B0HKUatOz8Il7+YQeDO0VxTteWTsepF1UWcGPMIkB3eq7EPWO7kl9cqie6Usph//4xhSO5hTx0YXe/OV1sVWrTB36HiGywu1gqPT+jiEwQkVUisiojI6MWk/NN8THhXDUwlo+X79UTXSnlkINZ+by9JIXxfdrSu30zp+PUm5oW8DeAeKAvkAa8UNkLjTFTjDEDjDEDYmJiajg53zZxVAIhQQE8P3ub01GUapBemLON0lL87nSxValRATfGHDLGlBhjSoG3gEHejeUuLSPC+ONZnfl2YxrrUo85HUepBiUp7TifrdnHdUM7EhvV2Ok49apGBVxEPC/nfCmwqbLXNhQThncmukkIT83SQ+yVqk9PfbeViFD/PWHVyVRnN8JPgJ+AriKyT0RuAp4VkY0isgE4B5hcxzl9XnhoEH8emcDyXZks2JbudBylGoTFOzJYtD2DO89NoFlj/zxh1clUeZIAY8zVFTz9Th1kcb2rB3XgP0t38eSsrQxPiCEoUI+TUqqulJYanpq1lfbNG/GHoR2djuMIrTBeFBIUwP3ndyM5PYdP9RB7perUjLX72ZJ2nHvGdCU0KNDpOI7QAu5lY3q2ZlBcFC/N3U52fpHTcZTyS/lFJbwwZxu920cyrrf/HzJfGS3gXiYiPHxRd47kFvL6wp1Ox1HKL/1n6W4OZOXzwPndG8Qh85XRAl4Herdvxm/6teOdJbtIzcxzOo5SfiUzt5DXFyQzsltLhsRHOx3HUVrA68hfxnRFgOf04B6lvOqVeTvILSzm/vO7OR3FcVrA60jbZo2YMLwzX68/wNq9R52Oo5RfSE7P4cOf93DVoA4ktIpwOo7jtIDXoT+NiCcmIpTHv9WDe5TyhidnJdEoOJC7Ric6HcUnaAGvQ01Cg7h7dCKr9xxl1ka9fqZStfHj9gzmb03nzpFdaBEe6nQcn6AFvI5dPiCWbq0jePr7JAqKS5yOo5QrFZeU8vjMLXSMbsx1Q+OcjuMztIDXscAA4eELe5CaeYKpy3Y7HUcpV/pkxV52pOfw4AXdG+xBOxXRAl4PzkxowTldY3h1fjKZuYVOx1HKVbLyinhx7naGdI7mvB6tnI7jU7SA15MHL+hOXmEJL/+w3ekoSrnKK/N3cOxEEY9c1KPBXGmnurSA15OEVhFcM6gDHy7fy45D2U7HUcoVUjJymLpsN1cNjKVH26ZOx/E5WsDr0eTRiTQJCeTv32zR3QqVqoYnZyURFhzIXaMb1pV2qksLeD2KahLCXaMTWZJ8mDlbDjkdRymftnhHBj8kpXPHuV2IidDdBiuiBbyeXXtGRxJbhfP4t1vIL9LdCpWqSHFJKf+YuYUOUY25YVic03F8lhbwehYUGMCj43qSmnmCtxenOB1HKZ/0ycpUth/S3QarogXcAUO7tOD8Xq15bcFODhw74XQcpXxK1okiXpyzjTM6RzGmp+42eDJawB3y4AXdKTWGp77b6nQUpXzKS3O3k6W7DVaLFnCHxEY15pYR8Xyz/gArdmU6HUcpn5CUdpz3f9rN7wZ3pGfbSKfj+Dwt4A66dUQ8bSPD+NvXmykp1d0KVcNmjOFvX28mslEwd5+nZxusDi3gDmoUEsiDF3YnKe04n67c63QcpRz1zYY0VuzK5J4x3WjWOMTpOK6gBdxhF57WhsGdonh+9jaO5el5UlTDlFtQzBPfbuG0dpFcOTDW6TiuoQXcYSLCo+N7knWiiJfm6nlSVMP06vxkDh0v4O8X9ySwAV+k+FRVWcBF5F0RSReRTR7PRYnIXBHZYf9tXrcx/Vv3Nk353eCOfLh8L1sPHnc6jlL1KiUjh3eWpHBZ//ac3kFLyamoTgv8PWBsuefuB+YZYxKAefZjVQt3jU4kIiyIv365Wc+TohoMYwyPfrOFsKBA7hurFyk+VVUWcGPMIqD8fm4XA1Pt+1OBS7ycq8Fp3iSE+8d2Y8XuTL5Ys9/pOErVi7lbDrFoewaTRifq+U5qoKZ94K2MMWkA9t+W3ovUcF0xIJZ+HZrx5KwksvKKnI6jVJ06UVjCYzO3kNgqnD8M6eh0HFeq842YIjJBRFaJyKqMjIy6npyrBQQIj1/Si6N5hTw3R4/QVP7tlfk72Hf0BP+4uBfBgbo/RU3UdK4dEpE2APbf9MpeaIyZYowZYIwZEBMTU8PJNRw920Zy3dA4Plq+l/Wpx5yOo1Sd2HEom7cWWRsuB3eOdjqOa9W0gH8NXGffvw74yjtxFFgbNGPCQ3n4y016hKbyO8YYHvpyE01Cg3jgfN1wWRvV2Y3wE+AnoKuI7BORm4CngdEisgMYbT9WXhIRFswjF/Vg4/4sPl6+x+k4SnnV52v2s2JXJg+c343ocN1wWRtBVb3AGHN1JYNGejmL8nBR7zZMW5nKs7O3MbZXG91Cr/zCsbxCnpyVxOkdmnHFAD3isrZ0y4GPEhEeu7gnBUWlPDkryek4SnnFM99vJetEEU9cehoBesRlrWkB92GdY8K5ZURnZqzdz9Lkw07HUapWVu/J5JMVqdw4LI7ubfQK896gBdzH3X5OFzq1aMKDMzbqNTSVaxWXlPLQjE20iQxj0ig9Vay3aAH3cWHBgTxxaS/2HMnj5Xk7nI6jVI28s2QXWw9m87dxPWkSWuWmN1VNWsBdYGh8Cy7v354pi1JIStOTXSl32X04lxfnbue8Hq30GpdepgXcJR66sDvNGgVz/xcbdd9w5RrGGB6csZGQwAAeu7iXXuPSy7SAu0SzxiH8dVwP1qce4/2fdjsdR6lq+e/qfSzbeYT7L+hG68gwp+P4HS3gLjK+T1tGJMbw3Oxt7D92wuk4Sp1UenY+T3ybxKC4KK4e2MHpOH5JC7iLiFgnuzIG/vrlJj1vuPJpf/96CycKS3jqt7rPd13RAu4ysVGNufu8ROZtTefbjWlOx1GqQnM2H+TbjWn8eWQX4mPCnY7jt7SAu9D1Q+Po3T6Sv321mcxcvRCy8i3H84t45KtNdGsdwS0j4p2O49e0gLtQUGAAz13Wh+P5Rfz1q01Vv0GpevTs91vJyC7g6d/21vN81zGduy7VtXUEE0cmMHNDGt9pV4ryEcuSD/Phz3u5YVgn+sY2czqO39MC7mK3jIinV7umPPLVJu1KUY7LKSjmns820KlFE/5yXlen4zQIWsBdLNjuSsk6UcSjX292Oo5q4J6clcSBrBM8f3lvGoUEOh2nQdAC7nLd2zTlznMT+Hr9Ab7fdNDpOKqBWrQ9g4+X7+XmszrTv2OU03EaDC3gfuDWs+Pp2bYpD3+5iaPalbNSbpIAABXbSURBVKLq2fH8Iu77fAPxMU24a7SeabA+aQH3A8GBATx/eR+O5RXy6DfalaLq1+Mzt3DoeD4vXNGXsGDtOqlPWsD9RFlXylfrDuheKareLNiazvRV+/jTiHjd68QBWsD9yG3nxNOnfSQPzNjIoeP5TsdRfi4rr4j7v9hAYqtwJo5KcDpOg6QF3I8EBwbw4pV9yS8q4Z7PNui5UlSdeuSrTRzOKeSFy/sSGqRdJ07QAu5n4mPCeejCHizansH7P+1xOo7yU1+u3c/X6w8waWQCp7WPdDpOg6UF3A9dO7gD53SN4clZSSSnZzsdR/mZ1Mw8HvlyEwPjmnPbOV2cjtOgaQH3QyLCM5f1pkloEJOmraOwuNTpSMpPFJeUMnnaOgBevKIvgXqaWEdpAfdTLSPCeOo3p7Fp/3Fenrfd6TjKT7yxcCer9hzlH5f0IjaqsdNxGrxaFXAR2S0iG0VknYis8lYo5R1jerbmygGx1kq3O9PpOMrl1u49yj/n7eDivm25pF87p+MovNMCP8cY09cYM8AL41Je9si4HrRv3piJn64jK6/I6TjKpXILipk0bR2tm4bx2MW9nI6jbNqF4ufCQ4N49ep+pGfnc+/n63XXQlUjf/9mM6mZebx0ZV8iGwU7HUfZalvADTBHRFaLyISKXiAiE0RklYisysjIqOXkVE30iW3GfWO7MXvzId21UJ2yr9btZ/qqfdx6djyDOumJqnxJbQv4MGPM6cD5wO0iMrz8C4wxU4wxA4wxA2JiYmo5OVVTN53ZiZHdWvLEt0ls2p/ldBzlEjszcnjgi40MjGvO5FF6oipfU6sCbow5YP9NB2YAg7wRSnmfiPD85X2IDg/hjo/XkJ2v/eHq5E4UlnD7R2sICw7k1atPJ0gvj+ZzavyNiEgTEYkouw+cB+gFGn1Y8yYhvHJ1P1KPnuDBGZu0P1yd1KNfb2bboWxeurIvrSPDnI6jKlCbf6mtgCUish5YAXxrjPneO7FUXRkYF8VdoxP5Zv0Bpq1MdTqO8lFfrNnHtFWp3H52F0Ykatenrwqq6RuNMSlAHy9mUfXk1hHx/JxyhL99vZk+sc3o3qap05GUD9lxKJuHZmxicKcoJulZBn2admo1QAEBwotXWLuD3fLBat0/XP2/vMJibvtoDY1DAnnl6n7a7+3j9NtpoGIiQnnj2v6kZZ1g4rS1lJRqf3hDZ4zhoRmbSM7I4eWr+tGqqfZ7+zot4A1Y/47N+du4nizclsE/f9DzpTR07yzZxYy1+5k8KpEzE1o4HUdVgxbwBu53gztwxYD2vDo/mdmb9ar2DdWSHYd5clYSY3u25g49RaxraAFv4ESExy7uRZ/2kdw9fT3J6TlOR1L1bO+RPO74ZA0JLSN44Yo+BOgpYl1DC7giLDiQN67tT2hQALd8sIqcgmKnI6l6kltQzIQPVlFaapjyh/40Ca3xjmnKAVrAFQBtmzXiX9eczu4jedw1bR2lulHT7xljuOez9Ww/lM2r15xOx+gmTkdSp0gLuPp/Q+KjeeiC7szZcohnZm91Oo6qY68v3MmsjQe5b2w3PVjHpfT3kvofNwyLI+VwDv/+MYVO0U24alAHpyN5TWmpIT27gL2ZeaRm5pF1ooicgmJyCorJLyohKCCAkKAAQgKFiLBgWjYNpXXTMFpHhtGuWSO/2id69uaDPD9nG+P7tGXC8M5Ox1E1pAVc/Q8R4dFxPUnNPMHDX24iNqoxw7q4b5ey0lLDjvQc1qUeZV3qMdalZpGSkUNBBdcHDQsOICw4kOISQ2FJaYXXEA0JCqBrqwi6t4mgR5umnBEfTddWEYi4b4Pfhn3HmPjpWnq3b8Yzv+3tys+gLFKfJzQaMGCAWbVKr7zmBtn5RVz2xk8cyDrBjNuG0qVlhNORqpR1oojFOzJYsDWDH7enczinEICmYUH0iW1Gt9YRdIhuQseoxsRGNaZ542CahAYRXK5lbYwhu6CYQ1n5HDyeT9qxfHakZ5OUlk1S2nGO5FrjbREeytD4aIYnxjC6RytXXOhg39E8Ln19GSGBAXx5+zBiIkKdjqSqQURWV3TVMy3gqlL7juZxyWvLaBQSwIzbhtEi3PdW9sLiUuZvTefzNftYsDWd4lJDZKNgRiTGMDwxhn4dmtEpuonXdo0zxnAgK59lyYdZmnyYpTuPkJFdQEhgAMMTYxjXpw2je7SicYjv/bg9nl/E5fY/5S9uHUpCK9//p6wsWsBVjaxPPcaVU36iR5umfHzzGYQFBzodCYA9R3J5b9luvly7n6N5RcREhHJxn7aM6dWafrHN6q2/2hjDhn1ZfLP+ADM3pHHweD4RoUFcNqA9vz+jI51jwuslR1UKi0u5aepKftp5hPduGKRHWrqMFnBVY99vSuPWj9ZwXo9WvP67/gQ6eKDH6j2ZvLVoF7O3HCQoQDivZ2su69+es7q0cHwjY2mpYeXuTD5esZdZG9MoKjEMT4zhTyM6M6RztGN9zaWlhsnT1/HVugM8+9veXDEw1pEcqua0gKta+c/SXfz9my1cPSiWJy89rd6L0crdmTz3/TZW7M4kslEw157RgT8MifPZEy6lZ+fz6YpUPvx5D+nZBQyKi2LiqASGxtdvITfG8I+ZSby7dBf3jOnK7XqYvCtVVsB9r6NO+aQbhnUiM7eQV+cnE90klL+M6Vov0920P4vn52xj4bYMWkaE8ui4HlwxMNYn+5g9tYwI488jE5gwvDPTVqby+sJkfvf2cgbGNeehC3vQN7ZZveR488cU3l26i+uHxnHb2fH1Mk1Vf3x7LVA+5a7RiRzOKeRfC5KJahLCjWd2qrNpHc4p4OnvtvLZ6n1ENgrm/vO7cd2QOBqF+EYffHWFBQdy3dA4rhwYy/RVqbwyL5lLXlvKb/q1496x3er0UmXTVu7lme+3Mr5PW/56UQ/dXdAPaQFX1SYiPH5JL47mFvLYzC2EhwZ5vT+1pNTw0fI9PD97GyeKSrhlRGduO7uLK3bRO5mw4ED+MCSOS/u147UFO3l3yS6+23SQO87twoThnX+1K2NtfbVuP/d/sZGzElrw/OV6gip/pX3g6pQVFJdw8/urWbwjgxev6MOl/dp7ZbxbDhzn3s/Xs2n/cYZ1iebv43vRpaVv7MXhbXuP5PHErC3M3nyI7m2a8txlvenVLtIr4/5uYxp3fLKWAR2b894Ng1z3q0X9mm7EVF6VX1TCje+t5OeUI7x8VT/G9Wlb43EVl5TyxsKdvDJ/B5GNQvjbuB5c1LtNg/jJP3vzQR7+chOZuYXcfFZnJo1KqNWumvO3HuKWD1ZzWrtIPrhpsJ5d0E9oAVdel1dYzPXvrmT13qO8dk0/xvZqc8rjSE7P5q7p69mwL4txfdry2PieNG8SUgdpfVdWXhFPzkpi2qpUuraK4JWr+9G19akfZLNwWzoTPlhN11YRfHTzYJqGubvbSf2isgLuP2fnUfWucUgQ794wkD7tI7nj47V8s/5Atd9rjGH6ylQuenUJqZl5vHbN6bx6db8GV7wBIhsH88xlvZl64yCO5BYy7l9LeP+n3ZxK42rulkNMeH81XWLCef/GQVq8Gwgt4KpWwkODmHrjIE7v0JyJn67ls9X7qnxPbkExd09fz72fb+D0Ds2ZPXk4F/Y+9da7vxmRGMN3E89iaHw0f/1qMze/v5pjeYVVvm/WxjRu/XA13dtE8MnNZzTIf4INlRZwVWsRYcG8d+NAhnVpwV/+u54Pf95T6Wu3H8pm/L+WMGOddfHcD24aTMsI3zwYxwkxEaG8e91AHrmoBz9uT2f8v5aSlHa80td/uXY/d3y8hr6xzfjwj4OJbKwt74akVgVcRMaKyDYRSRaR+70VSrlP45Ag3vrDAEZ2a8nDX25iyqKdv3rND1sOcelrS8k6UcxHNw1m4qgERw/L91UBAcJNZ3bi0wlDyC8q4TevL6uwe+rtxSlMnr6OQZ2imHrjICK026TBqXEBF5FA4DXgfKAHcLWI9PBWMOU+ZdfWvKh3G56ctZUnZyVRWmowxvDagmRu/mAV8S3DmXnnmQx14TnG61v/js2ZeeeZ9GzblDs/WcuTs5IoKTWUlhoe+2YLj3+bxJgerXnvhkG6t0kDVZtvfRCQbIxJARCRT4GLgS3eCKbcKSQogFeu6kd0kxCmLErhu01pdIxqwpLkw4zv05ZnL+vtM2c0dIOWTcP4+OYzeGzmZqYsSiElI4eQoABmbTzIDcPiePjCHvorpgGrTQFvB6R6PN4HDK5dHOUPAgKER8f3ZGCnKKatTGX1nqPcM6Yrt50d3yD27fa2kKAAHr/kNBJaRvD3bzZTauDhC7vzx7P0UmgNXW0KeEVr4q/2exKRCcAEgA4d/Of6iurkRISLerflot5tMcZo4faC64bG0aNtUwqKSvV83gqoXQHfB3ieCKM98KstLcaYKcAUsA7kqcX0lEtp8faegXFRTkdQPqQ2e6GsBBJEpJOIhABXAV97J5ZSSqmq1LgFbowpFpE7gNlAIPCuMWaz15IppZQ6qVrte2SMmQXM8lIWpZRSp0CPxFRKKZfSAq6UUi6lBVwppVxKC7hSSrlUvV7QQUQygMpPVVf3WgCHHZz+qXJbXnBfZrflBc1cH3wtb0djTEz5J+u1gDtNRFZVdFULX+W2vOC+zG7LC5q5Prglr3ahKKWUS2kBV0opl2poBXyK0wFOkdvygvsyuy0vaOb64Iq8DaoPXCml/InftsBFT4GnlCN03as/flXAReQ0EbkPwLjgp4WIdBQRV50kXUTauG0FFZFWTmc4FSLS1YXLha57DvCLAi6W54GPgSAR8emru4pIIxF5CfgOmCoit9rP++z3ISKhIvIG8CMwRUR+43SmqohIeNl8FpF/uyRzc6zLEv5RRHz+qg267jnLlaErEAO0AfobY54wxhQ5HagKfwbaGmN6AI8CkwCMMaVOhqrCeKCNMSYRmAk8JiKJDmeqlIi0Az7AWsYvwPrH86yjoaqnHbAVaAL0dThLdei65yDXFnARifB4GAkkGGMKRWSMiPxFRMY4la0iIhJu/w3Amu8b7EFtgW9FpJtT2U5GRMquQFwCZAAYY74CvgduEZFmTmWrQj7wtjFmojHmIDAdWCcivR3O9St2K7asWyoL+Azr8oTniEi0c8kq59FibYqPr3tgLcd2ZsEl6151uK6Ai0gXEZkO/EdELhSRKCAHWCoijwH3Yq28/xSR68oKpw/knSoiF2Jd/GIr0FlEFgPPANnADyIy2hf6l+0+2DdFpJExpsR+OgTIFJG29uPngNOBnvZ7HM3tmRnAGHMEWOjxkligM7DNgXi/Um4eG49+49OBRsDDQEvgahG5RETCHAtrK5e5rMUaACzy0XXvf5ZjO/MBoIOvrnunzBjjmhvWwjITeAS4GHgdeN4e9irWCtvHfnwZVksmwofyvgk8Zw+LxGoVtrYf3w7M8oF5fCawAigFHvJ4vo39WcYCIfZzjwKf+WJm7F1kPV7TFfjC6awnyRtg/40HJtr352P98rnfFzPbzzcHXgEW+Ni6V1neAF9d92pyc1sLvA1wDHjSWD/jnwDOEpHhwNtAEdAfwBjzGRANRFQyrvpQPu8/gDNFZDzWr4ZDQGP7tW8DjX3gJ/MR4EYgEbhBROIAjDFpWJfP+w2/9M1+Chz1gQ1X5TN3NPaa6aEfsBNARG52uCvlV/PY/NKiHYK1AXMTcBD4BEgVkcYVj6reVLZcHMX6x56Pb617FebF6poKB/bje+veKXNVATfG7AcGAKM9Hr8BPGKMWY919NQ4EXnA/om0Ccj0wbx3GqtrIhaYICLXYxXHlVh9oI4xxiQBycaYZGAu8HePwa8DqcD9InI3VgFPMQ5vuKog82Pwqz0LRgLRIvI5cA1WwXFEFfP4U6zl4EZjzDXAl1jLiaM/76vIPBd4H7jIh9a9CvPa/9gPAgnAzb607tWI0z8BKvn50wJo5fFYgCD7/vXAEo9hzYBpwFD7cU/gbuAqH877XztnV+BW4Nv6zFtZ5vL3sVpQycBIj2FhwAjgZeBaN2S2n/8O2Axc5oa8Hq8LcNE8Ps0X1r3q5AV6A7c5se559fM7HaCCL+RhrI18nwFP288FeAwPxOobnOTx3FSgl4vyvu9U3upkLstt/50EzLTvXw00dmFmAc52Ud4wF87jel8uapm3kRPz2OvzwOkAHjM6DHgaa+NCDNAKyAOi7OGe/1n7A7uAS4BrgdVAD81bu8zlXuuZ/yjWz8u3sPoNxUWZ36nPguiteazLhf/krdN54XgAaOZxv43H/bOxNuD0LPf6sq31F2P1ay0CztS83svsMTwSa3fBDcAwzew/ed2Y2W1562WeODZhayv1v4A5WEdHdbOfDwLOA3YDL2DtCnQ1v/wUcuS/ptvy1iazx/sDgN6a2X/yujGz2/LW63fpyEThDHtmPwoMx9qh/hWP4S34peV6EdYW4mDHZpLL8mpmzesvmd2Wt75vTu1GeAx40RjzqDFmEbAMQETCRESMMYeNvV+sMWYm1j7T7RzKCu7LC5q5PrgtL7gvs9vy1qs6L+AVHZ5qjNkKfOMxrAjoYozJN8aYsudFpLu93+4erENg65zb8mpmXS78JbPb8vqCOi3gIhJs7N829uP//4KMMbkew+L45QQzAKEi8nus/bvnG2OuN8YU1mVWN+bVzLpc+Etmt+X1FXVWwEXkDqyTxDwmIuPAOgrK8+g4j/udsPq5EOuczY2xjo4abIx5ra4yujmvZtblwl8yuy2vL/F6AReRKBF5HxgDPAAcBq4TkU7wy3l3RaS3+eX8Dz2BBBH5DrgcaytyujHmhLfzuT2vZtblwl8yuy2vTzLe32ocCEzgl8NYOwPvYe+jCbTGOhJxMdb5eDsAx7HOJHiJt/P4W17NrHn9JbPb8vrizRtfQhDwFyDW47lwj/sBwM9YJ30H68ROt5Ubxw31uNC4Kq9m1rz+ktlted1wq+0XchqwBuu0qJ9U8pruVHKuXezzStfjAuSqvJpZ8/pLZrfldcuttn3gh7FO5t4NiBOR8+D/L19UthW5NfaluERksIicY98XU/9bi92WVzNrXn/J7La8rlCrAm6sk/xPM9ZJ3d8DHrSfL+GX8xf3BUJE5DngJY/3GuqZ2/La09XMdcxtee3puiqz2/K6Ra33QjG/bP19H8gXkT/bz5fa/1mHA+cCmcaYocaYBbWdZm24LS9o5vrgtrzgvsxuy+sK3uyPwdodaLl9v7f9dzweGy186ea2vJpZ8/pLZrfl9dVbXXwx3wMFwCyghdMf0N/yambN6y+Z3ZbXF29eO5BHRAJE5HGsLcl3GGMuMMYc9tb4vc1teUEz1we35QX3ZXZbXl9WtgO9d0Ymcj7W+QgKvDbSOuS2vKCZ64Pb8oL7Mrstr6/yagFXSilVf5w6H7hSSqla0gKulFIupQVcKaVcSgu4Ukq5lBZwpZRyKS3gSinlUlrAlVLKpbSAK6WUS/0fcmnELvei9IAAAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "times = pd.date_range(start=datetime.datetime(2014,12,23), end=datetime.datetime(2014,12,24), freq='5Min')\n", - "\n", - "ephem_tus = pvlib.solarposition.get_solarposition(times.tz_localize(tus.tz), tus.latitude, tus.longitude)\n", - "ephem_joh = pvlib.solarposition.get_solarposition(times.tz_localize(johannesburg.tz),\n", - " johannesburg.latitude, johannesburg.longitude)\n", - "\n", - "tracker_data = pvlib.tracking.singleaxis(ephem_tus['apparent_zenith'], ephem_tus['azimuth'],\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=False, gcr=2.0/7.0)\n", - "tracker_data['aoi'].plot()\n", - "plt.title('Tucson, December, no backtrack')\n", - "\n", - "tracker_data = pvlib.tracking.singleaxis(ephem_joh['apparent_zenith'], ephem_joh['azimuth'],\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=False, gcr=2.0/7.0)\n", - "plt.figure()\n", - "tracker_data['aoi'].plot()\n", - "plt.title('Johannesburg, December, no backtrack');" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n", - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "times = pd.date_range(start=datetime.datetime(2014,5,5), end=datetime.datetime(2014,5,6), freq='5Min')\n", - "\n", - "ephem_tus = pvlib.solarposition.get_solarposition(times.tz_localize(tus.tz), tus.latitude, tus.longitude)\n", - "ephem_joh = pvlib.solarposition.get_solarposition(times.tz_localize(johannesburg.tz),\n", - " johannesburg.latitude, johannesburg.longitude)\n", - "\n", - "tracker_data = pvlib.tracking.singleaxis(ephem_tus['apparent_zenith'], ephem_tus['azimuth'],\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=False, gcr=2.0/7.0)\n", - "tracker_data['aoi'].plot()\n", - "plt.title('Tucson, May, no backtrack')\n", - "\n", - "tracker_data = pvlib.tracking.singleaxis(ephem_joh['apparent_zenith'], ephem_joh['azimuth'],\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=False, gcr=2.0/7.0)\n", - "plt.figure()\n", - "tracker_data['aoi'].plot()\n", - "plt.title('Johannesburg, May, no backtrack');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Calculate full POA irradiance" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, we'll put the tracker data together with the irradiance algorithms to determine plane-of-array irradiance." - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "times = pd.date_range(start=datetime.datetime(2014,3,23), end=datetime.datetime(2014,3,24), freq='5Min')\n", - "\n", - "ephem_tus = pvlib.solarposition.get_solarposition(times.tz_localize(tus.tz), tus.latitude, tus.longitude)\n", - "ephem_joh = pvlib.solarposition.get_solarposition(times.tz_localize(johannesburg.tz),\n", - " johannesburg.latitude, johannesburg.longitude)\n", - "\n", - "tracker_data = pvlib.tracking.singleaxis(ephem_tus['apparent_zenith'], ephem_tus['azimuth'],\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=True, gcr=2.0/7.0)\n", - "tracker_data.plot()\n", - "plt.ylim(-100,100);" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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9Svoi8iMR2SIim0XkSRGJEJFEEXlbRHba98Nctl8qIoUisl1Ezux/+GpAWvcIFL0Pp//aL1d+llQ1ctNT65kwPI47L5w2IGp8N582jlMnpPLrl7bw6Z5q5wOIiIOLHoCaUqvGrxyVn5/PPffc45VjeZz0RWQE8EMg3xgzBQgGFgO3Au8aY3KBd+3niMgke/1k4CzgPhEZHGeFVN/VlsNbv4CRJ8LMax0vvqm1g+88thZjDH+/YqbzA515KChI+NOlM8hKjOJ7j61jf40fep1kzYL8a62x+cs3Ol/+IPPb3/6WCRMmcPrpp3PZZZdx1113AbB8+XJmzZrFuHHj+PDDDwFYsWIF5557rlfK7e+13iFApIi0AVHAPmAp1kTqAA8DK4CfAYuAp4wxLUCRiBQCs4BP+hmDGkje+x9ob4aF9/hlztr/fnEz2/bX8tA1x5Od5IdhjfshPjKUZVfOZNFfP+Kmpz7jiW/P6XY4Z59a8N/W4Gyv/ti6encQzDv865e38Pk+7zZZTcqI41fnTe5xfUFBAc8++yyfffYZ7e3t5OXlMXPmTADa29tZs2YNr732Gr/+9a955513vBqbx/8xY8xe4C6gBCgHaowxbwFpxphye5tyINXeZQRQ6nKIMnuZGioObIH1j8Os6/0y+cnrm8pZvraMG+bncMr41N53CEC5abH8euFkVhdVs+wDP1w0FTnMOvFe9ilsWu58+YPEypUrWbRoEZGRkcTGxnLeeecdWXfhhRcCMHPmTPbs2eP1sj2u6dtt9YuA0cBhYLmIXHGsXbpZ1m1XBBG5HrgeIDs7MHtVKA+8/Surbfiknzhe9IHaZpY+v4lpmfHcFOAnbntz8cxM/rO9grvf3s5JuclMGeHwUMhTvwEf/wXevxOmXOiXEVC96Vg1cl85Vi+s8PBwAIKDg2lvb/d62f35bXYaUGSMqTTGtAHPAScAB0QkHcC+r7C3LwOyXPbPxGoO+gpjzDJjTL4xJj8lJaUfIaqAUfQBFL4NJ90CUYmOFt3Zabhl+Qaa2zr406UzCHVoPB1fERF+d8FUkqLD+eFTn9HU6nD//aAga4L16t2w4Ulnyx4kTjzxRF5++WWam5upr6/n1Vdfdazs/rz7S4A5IhIlVveHBcBW4CXganubq4EX7ccvAYtFJFxERgO5wJp+lK8Gkg//D2KGW007Dnvkkz18uPMgv/j6JMamxDhevi8kRIVx9zemU3Swgd+/vtX5AMafbU21+P4fob3V+fIHuOOPP56FCxcyffp0LrzwQvLz84mPd+YXW3/a9FcDzwDrgE32sZYBdwKni8hO4HT7OcaYLcDTwOfAG8ANxhg/XGKoHFe+wZoQZc53IdTZMWRKqxv5wxvbOWV8CpfPHlxNhSfkJHPNCaN45JNiCpzuxikCp94GNSVa2/fQLbfcwvbt23nhhRfYvn07M2fOZMWKFeTnWyMnJCcnH2nTnz9/Pq+88opXyu3X71xjzK+MMROMMVOMMVcaY1qMMVXGmAXGmFz7vtpl+zuMMWONMeONMa/3P3w1IHz8FwiLcbyLpjGGX7ywmSCBOy6YOiD647vrljPGMyIhkluf2+T8MA1jF0DaFGtKywAfwysQXX/99cyYMYO8vDwuuugi8vLyHCl3YDduqsBXUwabn4W8qx0fpfGlDft4f0cl/3XmeDISIh0t2ynR4SHcccEUCivque8/u5wtXMRqrjuwGUq057W7nnjiCdavX8+2bdtYunSpY+Vq0le+tWaZdT/nu44We6ihld+8/DkzshK4cu4oR8t22vzxqZw/I4P7VhSy40Cds4VPvQQiEmD1350tV3lMk77ynY522PAUjDvT8eEWfvfaVmqa2vj9hVOdv4DJD3557iRiwkNY+twmZwdlC4uCvCutC7Zqu+2MpwKMJn3lO7v/A/UHYLqzwyavLT7E8rVlfOukMUxMj3O0bH9Jigln6TkTWVt8iBfW73W28OO/BaYT1j7sbLnKI5r0le+sf8K6gnOcc2PrdXYafv3yFtLiwrnx1BzHyg0EF+dlMj0znt+/to36Fu9f1NOjYaNg9Mmw8Sk9oTsAaNJXvtF0GLa9arX5hoQ7Vuwz68rYWFbD0rMnEh3e36GlBpagIOH2hZOpqGvhL+8VOlv49MusORJKB894+066/fbbjwy41p2AGVpZqR5teR46Whxt2qlrbuN/39jOzJHDWDQjw7FyA8lx2cO4eGYmD67cTdHBBucKnngehEbBxn87V+YQEhBDKyt1TJufheRxkHGcY0Xe+14hVQ0t/Oq8SYOyT35f/fSs8YSHBPPbVz53rtDwGMg9Hba+Ap16zWVf3HHHHYwfP57TTjuN7du3A9ZFWD/72c8Cemhlpb6q6bDVb/uEG62+3A4ormrgnx8VccnMTKZlOns9QKBJjY3gxlNz+P3r2/io8CDzcpKdKXjSImve45JVMGqeM2V6w+u3wv5N3j3m8Klw9p09rl67di1PPfXUwBpaWakeFb4Dne0w7mzHirzrrR2EBAVxyxnjHSszkF19wihGJERy5+vb6Ox06ORq7pkQEgFbX3KmvAHsww8/5IILLiAqKoq4uDgWLlx4ZF3ADq2sVI92vAFRSZCZ70hxm8pqeHnDPm48NYfUOGfH9glUEaHB/Pj0cfxk+QZe2VTOwukOnOMIj7F68ex4A86607Ffef12jBq5L/XUBBnIQysr9VUd7bDzbavWF+TMVIR/eGMbw6JCuf7kMY6UN1Ccf9wIJgyP5a43t9Pa3ulMoblnWL14Du50prwB6uSTT+b555+nqamJuro6Xn75ZcfK1qSvvKt0FTQfdqxv/oc7K1lZeJAfnJpLbMTAnszD24KDhFvPnkBJdSNPrC52ptCu//vON50pb4DKy8vj0ksvZcaMGVx00UWcdNJJjpUtjl6y7YH8/HxTUFDg7zBUX731C1j1N/jpbmuWLB/q7DSc95eVHG5s471bvkZ4yMCY5NxJxhiW/GM12w/U8f5/zXfmi/GvcyA2Da56sfdt/WTr1q1MnDjR32F4TXd/j4isNcZ8pY1Va/rKu3a+Y/Xc8HHCB3htczlb9tXykzPGacLvgYhV269uaOXhj/c4U+iY+VYPnrZmZ8pTbtGkr7ynvhIqt8Lor/m8qI5Ow5/f2UluagyLZozweXkD2fSsBE6bmMqyD3ZT29zm+wLHfA3am6FMJ8YLRJr0lffssS4kYfTJPi/q1U3l7Kyo54cLcofEKJr9dfNp46htbuehlUW+L2zkPJBga15kFXD6lfRFJEFEnhGRbSKyVUTmikiiiLwtIjvt+2Eu2y8VkUIR2S4izo3CpZyxZ6U1Q1b6dJ8WY9XydzAuLYavT033aVmDxZQR8Zw5OY0HVxZR0+jj2n5EnHUldtGHvi1HeaS/Nf0/A28YYyYA07EmRr8VeNcYkwu8az9HRCYBi4HJwFnAfSKiDbGDyZ6VkD0Hgn17svCVjfvYVdnATQvGEaS1/D67+bRx1DW38+DK3b4vLHsO7Fun7foByOOkLyJxwMnAgwDGmFZjzGFgEdA1sPbDwPn240XAU/Y8ukVAITDL0/JVgGmshoPbrQ+7D3V0Gv787k4mDI/l7CnDfVrWYDMxPY5zpg7noY/2cLix1beFZc+FjlYoX+/bcpTb+lPTHwNUAv8Ukc9E5AERiQbSjDHlAPZ9qr39CKDUZf8ye5kaDPaute6zZvu0mJc37GN3ZQM3LcjVWr4HblowjvoWB9r2u778S1b5tpxBomto5fnz59NdF/VAGVo5BMgD7jfGHAc0YDfl9KC7T2i3FwmIyPUiUiAiBZWVlf0IUTmmdA1IEGTk+ayIzk7DfSsKGZcWw5mTtZbvifHDYzljUhr/+niPbydaiU6GpBxN+l4SKEMrlwFlxpiuWROewfoSOCAi6QD2fYXL9lku+2cC3U6qaYxZZozJN8bkp6Sk9CNE5ZiyNZA2xRp/xUfe21bBjgP1fG/+WK3l98P3T8mhtrnd91fpZs6yfgEG+AWg/tLd0MoAy5cvD8yhlY0x+0WkVETGG2O2AwuAz+3b1cCd9n3XZXkvAU+IyN1ABpALaEfewaCzE/aus2bJ8hFjrFp+5rBIzps2NCdI8ZYZWQnMy0nigQ+LuGruKCJCfdSfIuM42PCENWF6fOC25P5hzR/YVr3Nq8eckDiBn836WY/rB/LQyjcCj4vIRmAG8DusZH+6iOwETrefY4zZAjyN9aXwBnCDMUZnWxgMDhVBSy1kzPBZEauLqllXcpjvnDyGkGC9vKS/vj8/h4q6Fp5dV+a7Qrom0Nm3zndlDFADdmhlY8x6oLvxcxf0sP0dwB39KVMFoH2fWffpvkv6963YRXJMGJfkZ/W+serVCWOTmJ4Zz9/f382l+Vm++SIdPgWCQqz3x8TzvH98LzlWjdyXdGhlNXCVb4DgMEiZ4JPDb95bwwc7Krl23mjfNUUMMSLC9+bnUFLdyKubyn1TSGgkpE60mv7Ul+jQympgK18PaZMhJMwnh7///V3Ehodw5dyRPjn+UHXGpDRyUmO4f8UufDbabvoM2L9RT+YexZ9DK+vMWap/jLFq+pMv8Mnhiw428Pqmcq4/eSxxOl6+VwUFCd/72lh+snwD722rYMHENO8XkjYFPnsU6g9ArHazdXXbbbdx2223fWnZLbfccuRxcnLykTb9+fPnM3/+fK+UqzV91T+1+6C5xvpw+8CyD3YREhzEdSeO8snxh7qFMzIYkRDJ3z/w0dAMw+33xYHNvjm+cpsmfdU/FZ9b96mTvH7og/UtPLtuLxflZZIaq3Pf+kJocBDXzhvFmqJqNpYd9n4BXe+L/Zr0A4UmfdU/B7ZY92neT/qPryqhtb2Tb5442uvHVl/4xvFZxISH8KAvhmaISoS4EV+8T5TfadJX/VOxFWIzIHJY79u6obmtg0dX7eGU8SnkpPruKl8FcRGhXHp8Fq9uLKe8psn7BaRNCcjmnUCfKrav3P07NOmr/qnYYnXL87KXNuzjYH0r3zxxjNePrb7qmhNG0WkMD3/sg6EZUifAwZ3Q4cOxftwUERFBVVXVgE/8xhiqqqqIiOh786f23lGe6+yAyh1enx7RGMNDK4uYMDyWeTlJXj226l5WYhRnT0nnidXF3HhqDtHhXkwNyeOhsw0O7YHkHO8dtx8yMzMpKytjMAzoGBERQWZmZp+316SvPHe4GDpavH5R1keFVWzbX8f/Xjytx6sWlfd986TRvLqpnGfWlnH1CaO8d+CU8db9we0Bk/RDQ0MZPXponivS5h3luYOF1n1yrlcP++DK3STHhLNohg6s5qS87GHkZSfw0EdFdHR6sdmj6/1xcIf3jqk8pklfea7rQ5zkvaRfWFHPf7ZXcuWckYSH6JALTvvWSWMormrkna0HvHfQiHiIGW41BSq/06SvPFe1EyITIdp77e4PfVREWEgQV8zJ9toxVd+dMSmNzGGRPPihl7tvpoyzmneU32nSV547WOjVpp2apjaeW1fGBTNGkBQT7rXjqr4LCQ7i6rmjWLOnms/31XrvwMnjrR48A7y3zGCgSV95rmqnV5t2nl1bRnNbpw6s5meX5GcSERrEo6v2eO+gSWOtORcaq7x3TOURTfrKM8011iBaXuqNYYzh8dXFzMhKYMqIeK8cU3kmISqM82eM4PnP9lLT2Oadgyba11tU+2iMH9VnmvSVZw7tse4TvXPx1Krd1eyqbOCKOVrLDwRXzh1Jc1sny9eWeueAmvQDRr+TvogEi8hnIvKK/TxRRN4WkZ32/TCXbZeKSKGIbBeRM/tbtvKjavtE3zDv9HV+bHUx8ZGhnDst3SvHU/0zOSOe40cN49FVxXR6o/tmQjZIkCb9AOCNmv5NwFaX57cC7xpjcoF37eeIyCRgMTAZOAu4T0S0T95Adagr6Y/q96Eq6pp5c/N+LpmZqTNjBZAr546iuKqR93d64arVkHCIz9SkHwD6lfRFJBP4OvCAy+JFwMP244eB812WP2WMaTHGFAGFwKz+lK/86NAeiEqCiLh+H+rpT0tp7zQsma3dNAPJWZOHkxIbziMf7/HOARPHaNIPAP2t6f8/4KdAp8uyNGNMOYB9n2ovHwG4NhCW2cvUQFRd5JWmnY5Ow5NrSpmXk9msnm8AAByfSURBVMSYFB1NM5CEhQSxZFY2K3ZUsudgQ/8PmDgGqnb1/ziqXzxO+iJyLlBhjFnb1126WdZtY6GIXC8iBSJSMBgGRBqUDhVBYv+T/ortFew93MQVs/UEbiBaMjubYBEeW+WF0TeHjYLmw9Dsxf7/ym39qenPAxaKyB7gKeBUEXkMOCAi6QD2fYW9fRmQ5bJ/JrCvuwMbY5YZY/KNMfkpKSn9CFH5REcb1JR5pT3/sVXFpMaGc9okH8zPqvotLS6Cs6YM5+mCUhpb+zk0crw9EmRNWf8DUx7zOOkbY5YaYzKNMaOwTtC+Z4y5AngJuNre7GrgRfvxS8BiEQkXkdFALrDG48iV/9SUgunsd9IvrW5kxY5KFh+fRWiw9h4OVFefMIra5nZeXN9tHa3v4u1zNjVe6gaqPOKLT9qdwOkishM43X6OMWYL8DTwOfAGcIMxpsMH5Stfq9lr3cf3fQzv7jy5pgQBFs/SE7iBLH/kMCamx/Hwx3v6N+nIkZq+Jn1/8krSN8asMMacaz+uMsYsMMbk2vfVLtvdYYwZa4wZb4x53RtlKz+otZN+nOdJv7W9k6cLSlkwMY2MhEgvBaZ8QUS4au5Itu2vY23xIc8PFJMGQaFwWJO+P+lvauW+rjbZOM/Hu39jy34O1rfqFbgDxMLpGcSEh/DE6hLPDxIUBPEjtE3fzzTpK/fV7rWGVA6L8vgQj60qJjsxipNykr0YmPKV6PAQLjhuBK9sKudQQ6vnB4rP0qTvZ5r0lftq9kKc55dY7DhQx5qiapbMziYoSKdDHCiWzM6mtb2TZ9f1I2nHZ2mbvp9p0lfuq91r/Uz30BOrSwgLDuKSmf07EaycNTE9jrzsBJ5YU+L5Cd34TKgrt7r9Kr/QpK/cV1PmcU2/sbWdZ9eWcc7U4TpRygB0+eyR7K5sYNXu6t437k5CltXdt7af3T+VxzTpK/e0NlhXVXpY039p/T7qWtq5XE/gDkhfn5ZOfGQoj6/28ApdvUDL7zTpK/d01dA86K5pjOGx1cWMT4slf+Sw3ndQASciNJiL8jJ5c8t+Dta3uH+AIxdoadL3F036yj1dH1YPavoby2rYvLeWK+ZkI6IncAeqJbOzaOswLC/wIHF3vW9q+tH1U/WLJn3lniMXZrmf9B9bVUxUWDDnH6eDqw5kOamxzB6dyJNrStyfYCU0EqKStabvR5r0lXu6hmBw88KsmsY2Xt64j0UzRhAbEeqDwJSTlszOpqS6kZWFB93fOSFLr8r1I036yj21ZRCdas2E5IZn1pXR3NbJFXN0nJ3B4Kwpw0mMDvPsCt34TK3p+5EmfeWeGvf76BtjeHx1McdlJzA5I95HgSknhYcEc8nMTN7eeoADtc3u7RyfbSX9/gzepjymSV+5p9b9q3E/2V3F7soGnShlkLlsVjYdnYanP3WzqSY+E9oaoKkfg7cpj2nSV+6p2ev2kMqPryohPjKUr09L91FQyh9GJUdzUm4yT64pocOdE7pdvxS7OgUoR2nSV33XXAOtdW7V9Ctqm3lzy34umZlJRGiwD4NT/rBkVjb7app5f0dF7xt36Xr/6FW5fqFJX/WdBz13/v1pKe2dRq/AHaROm5RGSmw4j69y44Ru1/tHa/p+oUlf9V2tezNmdXQanlxTwok5yYxOjvZhYMpfQoODuDQ/i//YE9z3SUwaSLDW9P3E46QvIlki8h8R2SoiW0TkJnt5ooi8LSI77fthLvssFZFCEdkuImd64w9QDjoyeUrfmnf+s62CfTXNXD5bu2kOZotnZWGAp9b0sbYfFAyxwzXp+0l/avrtwE+MMROBOcANIjIJuBV41xiTC7xrP8detxiYDJwF3Cci2sg7kNTuBQmC2L6dkH1sdTGpseGcNinNx4Epf8ocFsUp41P596eltHV09m2nuAxt3vETj5O+MabcGLPOflwHbAVGAIuAh+3NHgbOtx8vAp4yxrQYY4qAQmCWp+UrP6jZCzHDITik101Lqxt5f0cli2dlExqsrYiD3RVzsqmoa+Gdzw/0bYe4DK3p+4lXPo0iMgo4DlgNpBljysH6YgBS7c1GAK4desvsZWqgqC3r84VZT6wpQYDLZmX5NiYVEL42LpURCZE81tchl2MzoLbct0GpbvU76YtIDPAscLMxpvZYm3azrNvOvSJyvYgUiEhBZWVlf0NU3tLHaRJb2jt4+tNSFkxMIz0+0oHAlL8FBwlLZmfzUWEVuyvre98hLsPq/tt8rJShfKFfSV9EQrES/uPGmOfsxQdEJN1enw50deAtA1yrfZlAt7/vjDHLjDH5xpj8lJSU/oSovMUY6+d4H3ruvLF5P1UNrVyh3TSHlEvyMwkJkr6Nx3Ok26Y28TitP713BHgQ2GqMudtl1UvA1fbjq4EXXZYvFpFwERkN5AJrPC1fOazpELQ39amm//iqEkYmRXFSTrIDgalAkRobwZlThrN8bRnNbR3H3jhOr8r1l/7U9OcBVwKnish6+3YOcCdwuojsBE63n2OM2QI8DXwOvAHcYIzp5Z2hAkYfJ0/ZcaCONXuqWTIrm6AgnShlqLl8djY1TW28urGX9nqt6ftN790wemCMWUn37fQAC3rY5w7gDk/LVH50ZPKUYzfvPL6qmLDgIC6e6f50imrgmzsmiTEp0Ty2upiLjvUe6Or2q0nfcdqXTvVNH2r69S3tPLtuL+dMHU5SjHvj7avBQUS4fPZIPis5zJZ9NT1vGBJmzcugzTuO06Sv+qZ2LwSFWh/UHjz/2V7qW9q56oRRzsWlAs7FeZlEhAbxeG8ndOPStabvB5r0Vd/U7LU+pEHdv2WMMTzy8R6mjojnuKwEh4NTgSQ+KpTzpmXwwmd7qWtu63nDuBFQp331naZJX/VNL5OnfLK7ip0V9Vw5dyRWxy41lF0+ZySNrR28sP4YNXkdisEvNOmrvqkpO2bSf+TjYhKiQlk43b0J09XgND0znikj4nj0kz2YnqZFjMuwugK3Njoa21CnSV/1rrPTvjCr+6S/73ATb289wKXHZ+lEKQqwTuhec8Jodhyo58OdB7vfqKsSoU08jtKkr3rXUAmdbT1213xidQmdxugcuOpLzpueTnJMOA+uLOp+g66kf9iNCVhUv2nSV72r7bm7ZnNbB0+uKWHBhFSyEqMcDkwFsvCQYK6aO5L3d1RSWFH31Q2GjbLuD+1xMqwhT5O+6t2RaRK/mvSfW7eXqoZWrps32uGg1EBw+exswkOCeHDlnq+ujMuA4DBN+g7z+IpcNYRU77buE7+c2Ds7DQ98uJspI+KYOzbJD4H5jjGGpvYm6tvqqW+tp66tjub2Zlo7WmntbKWto42WjhZaO1tp7WilvbP9yL7icqF6V0+msKAwwoLDCA8OJzw4nLDgMCJCIqz74AjiwuKICYshOjSaIBk8dbGkmHAuzBvBc+vK+K8zx5MYHfbFyqBgSMiGQz00/yif0KSvele107ooKyL+S4vf2XqA3QcbuOey4wK+m2Z7ZzsHmw5S2VhJdXM11c3VVDVXHXlc3VTNoZZD1LXWUddaR0NbAx1+GBpKEGJCY4gNiyUmLIa4sDiGRQwjKSKJpEj7FpFEYkQiSZFJpEalEh4c2Fc/XzdvNE+uKeXxVcXcuCD3yyuHjdaavsM06aveVe2CpJyvLF72wW4yh0VyzpThfgjqy+pa6yitK6W8oZz9Dfu/dCtvKKeyqZJO89Wp/KJCokiMSCQxMpG0qDRyEnK+lHRjQu1bWAyRIZGEBYcdqbW7Pg4JCkEQjMsUEV2PjTG0dVq/DFo6WmjtaP3SfWNbI/Vt9Ue+cOpa66hvq6e2tZballp2HtrJquZV1LV20y4OJEYkkh6dTnp0OsOjh1uPY9KPLEuMSPTrl3JuWiwnj0vh4U+K+dZJY4gMc+nhNWwUlK6xhu4O8IrDYKFJX/WuqhDGn/2lRR8XHqSg+BC3nzeJEIemQ6xtraW0tpTi2mJK6koorbMel9aVUt1c/aVtw4LCGB49nOHRw5mdPvvI49TIVJIirZrysIhhRIYMnEle2jraqGqusm5N1q2iseLIF93umt18tO8jmtqbvrRfTGgMWbFZjIwbSXZctnUfa90nhCc48oVww/yxXLpsFY+tKubbJ4/5YkXiaGipsfrrRyX6PA6lSV/1pumw1WXTpaZvjOGPb20nPT6CxbOyvV5kTUsNhYcL2XV415Fb4eFCqpqrvrRdWlQaI+NGckrWKWTHZZMVm0VGTAbDo4b7vXbrC6HBoUe+vHpijKG2tZbyhnLK68vZW7+XkroSSmpL2HxwM28Vv/WlXzyxYbGMiR9DTkIOOQk5jE0YS+6wXJIikrz6+s0ek8SJOcnc//4ulszOJjrcTj1HevAUadJ3iCZ9dWxVu6x7l6T/ztYKPis5zJ0XTu3XxVhtnW3sPrybrdVb2V69nZ2Hd7Lr8C4ONn1xMU9USBQ5CTmcnHkyY+LHkB2XTXZsNpmxmUSERHhc9mAlIsSHxxMfHs+ExAlfWd/W0UZZfRkltSUU1xZTXFvMrppdvFvyLs/ufPbIdvHh8YyNt74AchNymZA0gXHDxvXrl9GPzxjHhfd9zL8+3sMNp9jvpxQ7xv2bYcRMj4+t+k6Tvjq2qp3WvZ30OzsN//fWdkYnRx97vPSjNLU3sePQDrZVbWNr9Va2Vm+l8FAhrZ2tAESGRDI2fizzMuYdqXHmJOQwPHr4oKux+1NocCij40czOv7LPbGMMVQ1Vx35hbXzkPUF/Nru16hrs84lBEkQY+LHMDFxIhOTJjIxcSITEicQExbTp7LzsodxyvgUln2wmyWzshkWHQaJYyAy0WrXn3l17wdR/aZJXx3bvs8gNAoSxwLw+Opitu2v497LjiP0GG35B5sO8lnFZ6w9sJZ1B9ax/dD2I80KcWFxTEyayJKJS5iQOIGJSRMZGTuS4CAdwsFfRITkyGSSI5OZkz7nyHJjDOUN5dYXdZX1Zb2qfBUv7375yDYj40YyNXkqM1JmMD11OrkJuT3+L3961gTOvXcl//vmdn5/4VTr5G3WbChd7fO/UVkcT/oichbwZyAYeMAYc6fTMSg3lBVA+gwIDqG0upE/vLGdk3KTOXda+pFNjDHsrd/Luop1rDuwjrUH1rKndg8AEcERTEuZxremfotJSZOYmDiR9Oh0rb0PECJCRkwGGTEZLMj+YkK8ysZKtlZvZVv1NrYc3MIn+z7hld2vAFaT3NQU+0sgZTrTU6cTFxYHwMT0OK49YRQPflTE2VOGc/K4FMiaBTteh8Zqbdd3gKNJX0SCgb9izZ1bBnwqIi8ZYz53Mg7VR+0tsH8jzP4Otc1tfPuRAoIE/uf8yew6vIu1B9aytsKqyR9oPABYJwbzUvO4IPcC8lLzmJw0mdDgUD//IcrbUqJSSIlK4eTMk4Evvvg3VG5gfcV6NlRu4B+b/kGn6UQQxg0bx8y0meSl5XH1STP4YGclP/r3epZ/dy5jsmZZB929AqZc6L8/aoiQHoc99UVhInOB240xZ9rPlwIYY37f0z75+fmmoKDA7bJaW1u+1Ge6S3fL7BU96mmfHo8FPQ4ne6x9vHmsHmPu8VjdKN9A8OPns2H2Hdy2I5iK5iLyxh+mpHELNS3WVHgpkSnkpeVZH+jUPHKH5Q6qK0qV5xrbGtl0cNORZr4NlRuOdCfNiM5m/4F0glrGcOOc+Vz46feJDAmn47p3QYKPXNXc9YPQ9XfhUPqVGBIcQlCwZ82eIrLWGJP/leUOJ/2LgbOMMd+yn18JzDbG/KCnfTxN+uf8YwqlYUPnzeGU7Nhs8tLyyEvNIz8tn8zYzCH1IVSea+tsY2vV1iPneT7dv5aG9u4vOFOWlRe9T3yMZ01ePSV9p9v0u8sOX/nWEZHrgesBsrM96wf+teg51LUc6ndwva/zZE1P23vvWMfep/s13S1tDY1HRhzPGbnTmJiUS1Lk4BpjRzknNCiUaSnTmJYyjWunXEun6WRH9U5e3LqK4upqYms3ENpe+8UO3dRHnauiBobwUO93Sx60zTtKKTWU9VTTd7rx9VMgV0RGi0gYsBh4yeEYlFJqyHK0eccY0y4iPwDexOqy+ZAxZouTMSil1FDmeD99Y8xrwGtOl6uUUkpnzlJKqSFFk75SSg0hmvSVUmoI0aSvlFJDiKP99D0hIpVAsYe7JwMHe93KeRqXezQu92hc7hmMcR0EMMacdfSKgE/6/SEiBd1dnOBvGpd7NC73aFzuGWpxafOOUkoNIZr0lVJqCBnsSX+ZvwPogcblHo3LPRqXe4ZUXIO6TV8ppdSXDfaavuqB6CD4g4L+H5W7BnTSF5H0QHzTi0iGiIT7O46jichUEfkZgAmgn3giMtzfMXRHRNL8HUN3RGS8iJwNAfd/HCkink2A4UMi4v1B6b3AX/lrQCZ9EQkXkfuB94FlIhIQE2uKSIyI3A28DjwgIkvs5X59ncVyF/AEECIiATFprYhEisj/A94QkT+JyCJ/xwRH/o9/Al4Xkb8H2Pvr/4AngTB/x9PF/j/+Cet9/7CIfM9e7u/3fbSILAN+JSJJ9jK/VxL9nb8GZNIHFgLpxphxwCvAb0RknD8DEpEM4F9YH8Z5wItAV62603+RAZACpAMzjTF3GGPa/BxPlxuAFGPMDOAF4HcikuPPgERkBPAo1mfjHKwP5v/6MyYAEYkDngNONMbkGWNe9HdMLn4IZBhjJgG3AzeDf9/3du3+N8CJQCxwih1TIPwy8mv+GjBJX0RiXJ4aoBLAfvO/AXxHRBL8EFes/bAG+Ikx5gfGmHogDXhBRFLs7Rx9rV3iAogHco0xrSJypojcIiJnOhmPS1wx9n0wMAzrTY8x5n2gAatWFu+P2GzNwAPGmJuMMfuBp4H1IjLNjzF1xfUosAVAROaJyBkikms/d/yzLCLBdrkCbLQXZwCvisgEp+OxY4qyH7YA9wMnAzuBmSIy1t7G8dp+IOWvgE/6IpIjIk8D/xKRr4tINNAE1Nq1a4A/AnnAZHsfn/9Tj44LCDXGFItIlIjcBNwKRGN9ACYZYzodjuuf9uuVCNQDH4nIb4CfYiWQ/yciVx/1ZnQirodF5Fx7cR0wW0Sm21+O24BxwBh7Hyder/Ei8jcRiQQwxlQBK1w2ybLj2e7rWHqJqxV4DzAish/4HXA68L6ITHbw/XUkLmNMh12b3wdki8iHwB+w/q/viMjpTiVYEckVkUewmksWArHGmEJjzEHgP0AEfqjtB2T+MsYE7A3rS+kV4JfAIqxv7juBcOBV4GwgzN72duAZP8X1V+Bee50A41y2/Q3wtp/iug+4y153L1Yym24/vxh4BuvD4XRcfwPuAELt++XAevv/+VtgmUOv14nAGqATuK3r/3fUNuOB55yI51hxubyOC4Bbjnp/vREAccVj/Soabi+7AXjNobiuBD4HvgdcB/wDuOqobb4N/AmridOp/2Ng5i+nXgAPX7QRwGNAsMvzNcBs4BLgn8Ase90E+58d6qe4PgEW2s+lK3lg1RJfACL9FNdqrJ+404G3getctv8PVlusv+I6w34+Gki0H18E/KjrdfRxXBOBKUAOUAiM7GabxcAf7cffBqY58HodHdcol3URR22bi9XWH+GvuOz3+wg7qY6xl4VjVTKSHIjrDOA8l+d/AL5rPw6x77OBXwDfx/oVfrIDcQVk/gro5h1jzF4gH+tnbNfz+4BfG2OWAzuApSLyE+ApYLdx4CRlD3HdD/zIfm6MMUZE5gIPAR8bY5r8GNcvjTEbsK7wO09Elto/xTcD1X6K66/Az+3nRcaYahE5GfgxUGov9+nPcGPMVqDQGFOI9YX4G/hK+/gCIElEngWWYDWN+VQ3cf3ajkuMMUfKF5ETgAeBVa7LnY7L/j/tx/oC+raIXIM1D/anWOe6fB3XW8BbItI1/Wsz1rkFjDHt9n0JEAP8D9YXub/e937PXz79RnHjGzEZSHN5LnzxDX0NsNJlXQLWz8jj7e1OAv4MXBEAcT1pxxON9YH4DPhGAMT1b+AE+/lk4CfA4gCI60nsGhdWDX8nsMSJuI5+jNXDoxBYcNS+r2OdPL04UOLCSl4/w2oSuzSA4pqGVZN+1an3Vw/bPQ5ceNSy44Fy4HIfxJXe9flyWdZVu+/ufe9I/uoxXqcKOsYL9gusE3jPAHfay4JcXzysE1g3uyx7GJgSyHEBMwIxrgB+vRL8EVdXbPb9zcAr9uPL7A/l/ACMKwSX80YBFJfPmjD7GFcQEAU8j9V7ToAzgXBfxWWXuwWrcpBnP3f9kvTL5/GY8fqtYOts+p1Y33op9j+pkS/adl1fuJlAEXA+cAWwFpgUoHH55J85iF+vyf6I66htXWM8hNUk8SA+aCf3UlxeT65eiOsfWAnXq+dh3InL3j4dK8leh9V+fod9DK+fH8L6konB6nL5B6zm3eiudb28733yeexT3I4X6FKjw7pAoevxfKyf+5OP2j7Ivl+E1WTyAdYFKhqXxtXvuFzWx2N1ndsIzNO4Bmxc52H1LnoaOMmXcbks+wtwC1YzzclHrev6VeTT971bf4NjBUGS/eK8hXUF3wR7eQjW2fc9wP9hfTtf5vJi+boHh8Y1hONy2T8IH/TM0bicfX9hnU/7jo/juhGYaC/PAf5lP/4xVo3/ZiDTife9R3+LI4XAHPufdDtW98E/APe4rE/mi5rguVhn/Z3oeqlxaVwa1yCJi6Pa+H0c170u6+/Barv/O1bPoSd9/Vr15+ZUl83DwN3GmNuNMR8AH4M1PobdDe2gscfpMMa8gnUF6QiNS+PSuDSuvsZlfDfWT3dxGREJFZHpwFSsZq504C6gsGt4jEAU0vsm/WeM2SYipfY/zgBtQI6x+xZ3LReRiVj9aIuxLu3WuDQujUvjCtS42oANIrIS+NAY85aIjMa6DsDn1014yqs1fREJO+r5kTEkjDEN9gsGMIovBmgCCBeRK7H6k79njLnGWGONaFwal8alcQV0XMaYXxrrAjGMdaHh740xpd6Ky9u8lvRF5PvAShH5nYhcAdaVeq5XN7o8Ho3VRoZYY0lHYV3BN9sY81dvxaRxaVwal8bl67gkQCcB6km/k76IJIvIP4GzsM627wAuEnvSAmO3s4nINPNFm9tkIFdEXscagyLYGFNhvDhUgcalcWlcGpcDcV2E1UV04DCen9Huurw+GJjjsnwx8CeX52lY44B/iDUeRjZQizUY0/melq9xaVwal8Y12OJy4ubRi4V1hvrP2KMkurx41wElWFeo3Ys1WNUU4IdHHeNaX/wTNS6NS+PSuAZiXE7e3H3BBGuUuMeAy7FG2rsB+3J1rPG2u8aHvgRr+FzXS7bDfPJHaFwal8alcQ3QuJy+ufuixWH1UY21n5+J9Y15VTfbTsQaVjjB9YXz0T9T49K4NC6Na0DG5fTNrRO5xpharMugr7EXfYQ1fPBs1zPYYk3B90ugyRhz2Nivoq9oXBqXxqVxDdS4nOZJ753ngRkikm6sCcA3Yk1CPFysiZJ/gTWL1A5jzA1ejFXj0rg0Lo1rsMblGE+S/kqgCvvb0hizDpgFxBhjOuz1ZxpjbvdSjBqXxqVxaVyDPS7HuD0MgzGmXEReAO4UkUKsQY+aga5pyVZ4NUKNS+PSuDSuQR6Xozw9GYA1k/tDWLPZ/KA/Jxa8edO4NC6NS+MaqHE5cesag9ojIhJqfW9Ykw8HCo3LPRqXezQu92hcgaVfSV8ppdTA4tR4+koppQKAJn2llBpCNOkrpdQQoklfKaWGEE36Sik1hGjSV0qpIUSTvlJKDSGa9JVSagj5/6/vV8qMgbCiAAAAAElFTkSuQmCC\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "irrad_data = tus.get_clearsky(times.tz_localize(tus.tz))\n", - "dni_et = pvlib.irradiance.get_extra_radiation(irrad_data.index, method='asce')\n", - "irrad_data.plot()\n", - "dni_et.plot(label='DNI ET');" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "ground_irrad = pvlib.irradiance.get_ground_diffuse(tracker_data['surface_tilt'], irrad_data['ghi'], albedo=.25)\n", - "ground_irrad.plot();" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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GMy91MhJVrq6xbiRjEllBVho1pTlsPnDUdSgx56wwiEge8Drg2wCqOqSqXcDNwFr/YWuBVW4ijI+nGtvJTA2zYnZSNYSMmZaWzypkc1NX0o0zuGwxzAPage+KyGYR+ZaIZANlqtoK4C9LT/VkEVkjIptEZFN7e+I05TY3dbFsVgHpKXaYqjGJbnl1AV39w+zr6HcdSky5LAwpwCXAN1R1OXCMCXQbqep9qlqnqnUlJYnRXz8wHGFHaw9LZxW4DsUYEwPLq72Wf7J1J7ksDAeBg6r6rL/+CF6hOCwi5QD+ss1RfDG3vbWH4YiybFa+61CMMTEwvzSHnPQUNh/och1KTDkrDKp6CGgSkYv8TSuB7cBjwGp/22pgnYPw4mJrk/fPs2yWjS8YkwzCIWHprHw2NyVXi8H1nM9/B/xARNKAl4D34RWrh0XkA8AB4O0O44uprU1dlOWlMzM/w3UoxpgYWT6rkG/8fi/HhyJJc4kbp4VBVbcAdae4a+VUxzIVtvgDz8aY5LG8uoBIVNnW3J00l893fR7DtNHVP8S+jn4beDYmyYx+2UumAWgrDFNk60HvtHlrMRiTXGbkpFNZkMmLSXRpDCsMU2TLgS5EYHGlHZFkTLJZXJlPvRUGM1FbD3YxvySH3Ayb19mYZLO4Kp/9Hf10Hx92HUpMWGGYIvXN3SyustaCMclokd8T0NCSHK0GKwxToK1ngLbeQRZVWGEwJhmNdhEnS3eSFYYpUO9/i1hk4wvGJKWi7DQqCzLZ1tzjOpSYsMIwBeqbexDxZn0yxiSnRZV51mIw525bczdzi7PJSXd9orkxJl4WV+bz8pFj9Awk/gC0FYYp0NDcbYepGpPkFo4OQCdBd5IVhjjr6BukpXvABp6NSXLJNABthSHO6lu8bw828GxMcivOSac8P4NtVhjM2Yx+e7CBZ2OS36IkOQPaaWEQkX0isk1EtojIJn9bkYisF5FGf5nQkxfUN3cze0YW+Zl2xrMxyW5xZT4vHTlGb4IPQAehxXCtqi5T1dHLb98NbFDVGmADE5juM4jqW7qtG8mYaWLxiTOgE3sAOgiF4WQ3A2v922uBVQ5jOS9d/UM0dR63gWdjpolFSTIA7bowKPC4iDwvImv8bWWq2grgL0tP9UQRWSMim0RkU3t7+xSFOzGj3xrsUFVjpoeS3HRm5mUkfGFwfcbVlaraIiKlwHoR2XmuT1TV+4D7AOrq6jReAZ6P0aMTFtrAszHTxqLK/IQ/Mslpi0FVW/xlG/BT4FLgsIiUA/jLNncRnp/65m4qCzIpzE5zHYoxZoqMDkD3DY64DmXSnBUGEckWkdzR28AbgHrgMWC1/7DVwDo3EZ6/hpYe60YyZppZXJWHKmxP4AFoly2GMuApEdkKPAf8XFV/BdwLXC8ijcD1/nrC6RkY5uUjx1hUad1IxkwnowPQidyd5GyMQVVfApaeYnsHsHLqI4qt7XbGszHTUmluBmV56Qk9AO36qKSkVX9i4NkKgzHTzcKKfOtKMq9W39zNzLwMSnLTXYdijJliCyvy2NPex8BwxHUok2KFIU7qW3qsG8mYaaq2PI9IVGk83Oc6lEmxwhAH/UMj7G3vswvnGTNNje77DS2JOc5ghSEOdh3qRdVObDNmuppVmEVOegrbWxNznMEKQxzsaO0FvOakMWb6CYWEBeW5CTsAbYUhDra3dpObkUJVYabrUIwxjtSW57GjtYdoNJBX7DkjKwxxsL2lhwXleYiI61CMMY7UVuRxbCjCgc5+16FMmBWGGItElZ2Heq0byZhprrbcOyoxEccZrDDE2P6OY/QPReyIJGOmuZqyHMIhSchxBisMMWYDz8YYgIzUMPNLcqzFYLyB55SQUFOW4zoUY4xjtRV51mIw3sDz/NIc0lPCrkMxxjhWW57HoZ4BOvoGXYcyIU4Lg4iERWSziPzMXy8SkfUi0ugvC13GNxnbW3usG8kYA7xyBvRoF3OicN1iuAvYMWb9bmCDqtYAG/z1hNHRN8jhnkEbeDbGAK+MNSbapTFczuBWBbwJ+NaYzTcDa/3ba4FVUx3X+bCBZ2PMWIXZaVTkZyTcALTLFsOXgI8B0THbylS1FcBflp7uySKyRkQ2icim9vb2+EZ6jra3et8KFlhhMMb4EnEA2klhEJE3A22q+vxkf4eq3qeqdapaV1JSEsPoJm97Sw/l+RkUZqe5DsUYExC15XnsTbC5GVy1GK4EbhKRfcCDwJ+JyPeBwyJSDuAv2xzFNyk28GyMOVltRR5R9a66nCicFAZV/biqVqnqHOBW4Leq+m7gMWC1/7DVwDoX8U3GwHCEve3HbODZGDNOIl4aw/VRSSe7F7heRBqB6/31hNB4uI9IVK3FYIwZp6owk9z0lIQaZ0hxHYCqPgE84d/uAFa6jGeybODZGHMq3twMedZimI62t/SQnRamuijLdSjGmICprUisuRmsMMTI9lZvDoZQyOZgMMaMV1ueR/9QhP0JMjeDFYYYiEaVHa29NvBsjDml0c+GRBlnsMIQAwePHqdvcMQGno0xpzS/NIeUkCTMpTGsMMSADTwbY84kIzXM/NLEmZvBCkMMbG/pISRw0cxc16EYYwKqtjxxLo1hhSEGtrf2ckFJDhmpNgeDMebUaivyaOsdpL03+HMzWGGIgR2tPTbwbIw5o1fmZgh+q8EKw3nq6h+iueu4jS8YY85o9OCURBhnsMJwnkb/yHZEkjHmTAqy0qgsyEyIcQYrDOdp9I9sLQZjzNkkyqUxrDCcpx2tvZTmplOSm+46FGNMwNVW5PFSex/Hh4I9N4MVhvO03QaejTHnqLbcm5th56FgtxpczvmcISLPichWEWkQkU/524tEZL2INPrLQlcxns3QSJQ9bb3WjWSMOScLKxJjANpli2EQ+DNVXQosA24QkcuBu4ENqloDbPDXA6mxrZfhiM3BYIw5N1WFmeRmpNAQ8AFoZ4VBPX3+aqr/o8DNwFp/+1pglYPwzsmOVm+qPutKMsacCxFJiDOgnY4xiEhYRLbgze28XlWfBcpUtRXAX5a6jPFMtrf0kJkaZs6MbNehGGMSxMKKfHYe6iES4LkZnBYGVY2o6jKgCrhURBad63NFZI2IbBKRTe3t7fEL8gy2t3ZzcXkuYZuDwRhzjmor8hgYjvLykb6zP9iRQByVpKpdeNN73gAcFpFyAH/Zdprn3KeqdapaV1JSMmWxjnl9trf02MCzMWZCRgeggzzO4PKopBIRKfBvZwLXATuBx4DV/sNWA+vcRHhmzV3H6RmwORiMMRNzQUkOaeFQoI9MSnH42uXAWhEJ4xWoh1X1ZyLyJ+BhEfkAcAB4u8MYT8sGno0xk5GWEqKmLCfQA9DOCoOqvggsP8X2DmDl1Ec0MdtbehCBi20OBmPMBC2syGPDjjZUFZHgjVEGYowhEW1v7WZucTZZaS4bXcaYRFRbnkfHsSHaAjo3gxWGSdreagPPxpjJWViZDxDYOaCtMExCz8AwTZ3HbeDZGDMpo13QQR1nsMIwCTtHB56tMBhjJiE3I5XZM7ICe8iqFYZJqG/2mn8L7YgkY8wkLawI7twMVhgmoaGlh+KcdErzMlyHYoxJULXleezv6Kd3YNh1KK9ihWESGlq6WVRprQVjzOQtrPAGoEfPiQoSKwwTNDgSYU9bn3UjGWPOy+jJsdsDeGSSFYYJ2n2oj5Gonqj2xhgzGaW56czITgvkOIMVhgmqb7GBZ2PM+RMRaivyAnlkkhWGCWpo6SY3PYVZhVmuQzHGJLjaijwaD/cxNBJ1Hco4VhgmqKGlh9qKPEI2B4Mx5jwtrMhnKBJlb3uw5mawwjABkaiys7XXxheMMTExepJs0LqTXM7HMEtEficiO0SkQUTu8rcXich6EWn0l4WuYjzZy0f6OD4csfEFY0xMzC3OJjM1HLhLY7hsMYwA/6CqC4DLgTtEpBa4G9igqjXABn89EOqbvT/eQjuHwRgTA+GQcHF5buAupuesMKhqq6q+4N/uBXYAlcDNwFr/YWuBVW4ifLWGlm7SUkJcUJLjOhRjTJKoLfcujaGqrkM5IRBjDCIyB2/SnmeBMlVtBa94AKXuIhuvoaWHBTNzSQ0H4m0zxiSBhRX59A6McPDocdehnOD8E05EcoAfAx9R1XPuaBORNSKySUQ2tbe3xy9An6r6RyTZwLMxJnZGz4AO0gC008IgIql4ReEHqvoTf/NhESn37y8H2k71XFW9T1XrVLWupKQk7rE2dx2n+/iwDTwbY2LqorJcQkKgzoB2eVSSAN8GdqjqF8bc9Riw2r+9Glg31bGdyomBZysMxpgYykwLc0FJTqCOTHI5YfGVwHuAbSKyxd/2T8C9wMMi8gHgAPB2R/GNs72lm3BIbDpPY0zM1VbksfHlTtdhnOCsMKjqU8DpTh9eOZWxnIuGlh4uKMkmIzXsOhRjTJJZWJHHui0tHD02RGF2mutw3A8+J4qGlh4749kYExe15d5nS1DGGawwnIMjfYMc6hmw8QVjTFyMTvz14sFgnOhmheEcjB5GVmuFwRgTBwVZacyekcW25i7XoQBWGM7J6OnqC8utK8kYEx+LK/PZ2mQthoTxYlM3c2ZkkZ+V6joUY0ySWlKVT3PXcTr6Bl2HYoXhXGw92MWSqgLXYRhjktjoZ8yLze5bDVYYzqKtZ4DW7gGWzrLCYIyJn0WV+YjAtgAMQFthOIut/h9p2SwbXzDGxE9OegoXlOQE4sgkKwxnsbWpi3BIThxnbIwx8bKkMp8XD7o/MskKw1lsPdjFRWW5ZKbZGc/GmPhaXJVPW+8gh3sGnMZhheEMVJWtTV0stW4kY8wUGB2A3trkttVgheEM9nX00zMwwlI7IskYMwUWVuSRGhY2W2EIrtG+PjtU1RgzFTJSw9RW5PP8/qNO43A5H8N3RKRNROrHbCsSkfUi0ugvC13FB7ClqYuM1BAXltkcz8aYqbGiupCtTV0MR6LOYnDZYvgecMNJ2+4GNqhqDbDBX3dm076jLJtVQIrN8WyMmSIrZhcyOBJ1OnGPs088VX0SOHlmipuBtf7ttcCqKQ1qjL7BERpaunnNnCJXIRhjpqFLZntd1y67k4L2VbhMVVsB/GWpq0C2HOgiqlBnhcEYM4XK8zOpLMjk+QNWGCZMRNaIyCYR2dTe3h7z379xXychgUuqbeDZGDO1LpldyAvWYjjhsIiUA/jLttM9UFXvU9U6Va0rKSmJeSAb93WyoDyP3Ay7oqoxZmqtqC6gtXuAlq7jTl4/aIXhMWC1f3s1sM5FEMORKJsPdNn4gjHGiRWzvc8eV+MMLg9X/SHwJ+AiETkoIh8A7gWuF5FG4Hp/fcptb+nh+HCEujlOj5Y1xkxTF5fnkp0W5tmXO5y8foqTVwVU9bbT3LVySgM5hY37vIOlrMVgjHEhNRzisnkzeKrxiJPXD1pXUiA8+3Ins4oyKcvLcB2KMWaaump+Mfs6+mnq7J/y17bCcJKhkShP7znC1TWxH9A2xphzdXVNMQB/3DP1rQYrDCfZtK+TY0MRrr3I2SkUxhjD/NIcyvLS+YMVBvd+t6uNtHCI114ww3UoxphpTES4an4JT+85QjSqU/raVhhO8sSudi6dW0R2urNxeWOMAbzupKP9wzRM8XWTrDCM0dTZT2NbH6+/yMYXjDHuXTnfG2f4w57YX93hTKwwjPHEbu/Nv/ZiG18wxrhXkpvOkqp8frGtdUpf1wrDGL/b2UZ1URbzirNdh2KMMQCsWlZJfXMPjYd7p+w1rTD4DvcM8Pvd7dy4aCYi4jocY4wB4C+WVhAOCT/d3Dxlr2mFwffQxiYiUeW2S6tdh2KMMSeU5KZzdU0x67a0TNnRSVYYgJFIlB8+d4Cra4qZY91IxpiAecvySpq7jvPcvpPnNosPKwx4h6i2dg/wrsustWCMCZ431M4kOy3MQxubpuT1rDAA9z+zn9LcdFYuKHMdijHGvEpmWph3XT6bR7c0s3kKZnYLZGEQkRtEZJeI7BGRu+P5Wo88f5And7fz/qvmkhoO5NthjDHcubKG0tx0/nldA5E4jzUE7pNQRMLA14AbgVrgNhGpjcdr7Wnr45OP1nP5vCI+ePW8eLyEMcbERE56Cv/05wvY1tzN95/ZH/5PKuIAAAoUSURBVNfXClxhAC4F9qjqS6o6BDwI3BzrFxkYjvDhB14gMy3Ml29dTjhkh6gaY4LtpqUVXDW/mP/9WAOfeHQbxwZH4vI6QSwMlcDYEZaD/raYGo5EmVuczeffsdTmXTDGJAQR4Vur6/irq+byg2cP8Kav/IGB4UjMXyeIV4o71Vf3V3WoicgaYA1AdfXEjybKzUjlG+9eMeHnGWOMSxmpYT7x5lpuWDST+uZuMlLDMX+NILYYDgKzxqxXAS0nP0hV71PVOlWtKymxi94ZY6aXujlF3H7l3Lj87iAWho1AjYjMFZE04FbgMccxGWPMtBG4riRVHRGRDwO/BsLAd1S1wXFYxhgzbQSuMACo6i+AX7iOwxhjpqMgdiUZY4xxyAqDMcaYcawwGGOMGccKgzHGmHFEdWomfognEWkH9gPFwBHH4cRKsuRieQRPsuRieZyf2ap6ypPAkqIwjBKRTapa5zqOWEiWXCyP4EmWXCyP+LGuJGOMMeNYYTDGGDNOshWG+1wHEEPJkovlETzJkovlESdJNcZgjDHm/CVsi0FEbGYdY6YJ29+nVkIVBhFZLCL/CKAJ3tQRkdkiMvGJJAJGRMqTYacVkTLXMcSKiFyUJP9bSbG/J+K+nhCFQTyfAx4AUkQk1XVMkyUimSLyReCXwFoR+Rt/e0L8LUaJSLqIfAP4PXCfiLzVdUyTISI5o38PEfnPRM1jlIgUAtuBvxKRYtfxTEay7O+JvK8HPkBfCVAOrFDVf1XVYdcBnYc7gQpVrQXuAT4CoKpRl0FNwk1AuapeCPwM+LSIXOg4pgkRkUrgv/H2gz/HK3L/7jSo81cJ7ASygWWOY5msZNnfE3ZfD2xhEJHcMav5QI2qDonIG0Xkf4jIG13FNlEikuMvQ3jv+Yv+XRXAz0XkYlexTZSIjM4jGAHaAVR1HfAr4K9FpMBVbJMwAHxLVe9S1UPAw8AWEVniOK4J8b9hj3bndQOP4E2He62IzHAX2cSM+SadR2Lv72E/FyFB9/XAFQYRmS8iDwPfFZE3iUgR0Af8UUQ+DXwMb4f+koisHv3QDaIxuawVkTfhTTy0E5gnIn8A/g3oBX4jItcHta/e77P+pohkqurozONpQKeIVPjrnwUuARb6zwlcLmPzAFDVDuCJMQ+ZBcwDdjkIb0JO+pvomD74S4BM4BNAKXCbiKwSkQxnwZ7BSXmMfpMOAU8m0v5+8j7i59ICVCfSvn6CqgbmB+8f4mfAJ4Gbga8Dn/Pv+w+8nXipv/42vG9Gua7jPsdcvgl81r8vH+/b6Ux//Q7gF65jPk0eVwHPAVHgf43ZXu7ndwOQ5m+7B3jEdcznmgf+4dpjHnMR8BPXsU4yl5C/vAC4y7/9W7yW3d2uY57g/1Yh8BXgd4mwv58hj1Ai7etjf4LWYigHuoDPqNc98a/A1SLyOuBbwDCwAkBVHwFmALmn+V2unZzLvwBXichNeC2gw0CW/9hvAVkBbfZ3AO8HLgTeJyJzAFS1FW/61bfySl/2g8DRgA4WnpzHbPX31DGWA3sBROSDAe5SetXfRF/5tn0F3sBzPXAI+CHQJCJZp/5VTp3uf+so3peOARJjfz9lHnjdeTlAM4mxr58QqMKgqs1AHXD9mPVvAJ9U1a14Zwj+hYh83G+e1QOdruI9kzPk8nfqdcfMAtaIyO14H7Ab8fqHA0VVdwB7VHUPsB741Ji7vw40AXeLyD/gFYaXNICDhafI49PwqiNEVgIzROTHwF/ifTAFzln+Jg/i/S+9X1X/EngU738tcF0XZ8ljPXA/8Oag7++ny8P/4nEIqAE+GPR9fRxHTa9ioGzMugAp/u3bgafG3FcAPAS81l9fCPwDcKvr5tYkc/mRn8NFwN8APw9CLqfK4+TbeN/W9gArx9yXAVwDfBl4d6Lm4W//JdAAvM11Hueby5jHhRI5D2BxUPb389hHlgB/G5R9/ZxydfDmfgJvAPYR4F5/W2jM/WG8vtGPjNm2Fljk+s2KUS73By2Xs+Uxmou//AjwM//2bUCW6/hjlIcAr3edQ4xyyXAdv/1vjcsj03X8E853Ct/YDOBevIGYEqAM6AeK/PvHVt8VwMvAKuDdwPNAres3K9lyOVseJz12bE5H8ZrC/4XXdypTFXOc8vh2UD5MY/U3SZY8kuB/KxB5TDjvKXhjC8bcLh9z+/V4A2MLT3r86NEVN+P11T0JXOX6jUqmXCaax5j78/EOS30RuNLysFwsj2DnMen84/jGzgC+CjyOdwbgxf72FOANwD7g83iHed3GK82wwFXWZMllsnmMeX4IWGJ5WC6WR7DzOO/3IU5v7uX+G3cP8Dq8kzu+Mub+Yl75Nv1mvFH6VNdvRjLnYnm4jz1Zc7E83Mce6594Ha7aBXxBVe9R1SeBpwFEJENERFWPqH/ctar+DO+4/so4xXK+kiUXyyN4kiUXyyPJpMTjl6rqThFp8t9MxTsxbb6qDoB3uQRVVRFZAPwfYD/e6eOBkyy5WB7Bkyy5WB7J57xaDCKSdtL6iZNoVPWY/+YCzOGVi0kBpIvIe/DOT/itqt6uqkPnE8v5SpZcLI9g5QHJk4vlEaw84mnShUFE/hZ4SkQ+IyLvBu9Mv7Fnko65PRev7w7xrnefhXcG4GWq+rXJxhAryZKL5RGsPCB5crE8gpVHvE24MIhIsYh8F+/iaXcCu4FbxL/2x2gfnIgs0Veu37IQqBGRXwJvxxvJb1PV47FIYrKSJRfLI1h5QPLkYnkEK48po+c+Yj96mYcwcPmY7bcCXxyzXoY3+ckf8K5BXg304F0ZddW5vl48f5IlF8sjWHkkUy6WR7DymPL37VzeWOBzeNfCecOY7WG8KwoewJuk5T/wLkK2CLjzpN/xPteJJlMulkew8kimXCyPYOXh7P07y5sreFfQ/D7wLrwrB96Bf/kAvOuQj16L/+3As4w/LTzNdYLJlovlEaw8kikXyyNYebj8Odvhqrl419p/o6r2isgRvLlx3wHcr6pPjXlsPd6VKfNFpFs9QRqxT5ZcLI9g5QHJk4vlEaw8nDnj4LOq9uCdAn67v+mPwGbgMhGZOfo48abb+yRwXFW71C+7QZIsuVgewcoDkicXyyNYebh0Lkcl/RRYJiLlqtqHd1zvIDBTvEmvPwH8CditqnfEMdZYSJZcLI/gSZZcLA9zToXhKbyp624HUNUXgEuBHPVmInsKr8l2T5xijKVkycXyCJ5kycXyMGe/JIaqtorIo8C9IrIH78JRA8CIf/8TcY0whpIlF8sjeJIlF8vDwCvT0Z39gSI34o3gvxb4qqp+NZ6BxVOy5GJ5BE+y5GJ5TG/nXBgARCQV7wzykfiFNDWSJRfLI3iSJRfLY/qaUGEwxhiT/OI1H4MxxpgEZYXBGGPMOFYYjDHGjGOFwRhjzDhWGIwxxoxjhcEYY8w4VhiMMcaMY4XBGGPMOP8fFJWpWkaUb9kAAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "ephem_data = ephem_tus\n", - "\n", - "haydavies_diffuse = pvlib.irradiance.haydavies(tracker_data['surface_tilt'], tracker_data['surface_azimuth'], \n", - " irrad_data['dhi'], irrad_data['dni'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "haydavies_diffuse.plot(label='haydavies diffuse');" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "global_in_plane = cosd(tracker_data['aoi'])*irrad_data['dni'] + haydavies_diffuse + ground_irrad\n", - "global_in_plane.plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Do it again for another time of year." - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "times = pd.date_range(start=datetime.datetime(2014,6,23), end=datetime.datetime(2014,6,24), freq='5Min')\n", - "\n", - "ephem_tus = pvlib.solarposition.get_solarposition(times.tz_localize(tus.tz), tus.latitude, tus.longitude)\n", - "ephem_joh = pvlib.solarposition.get_solarposition(times.tz_localize(johannesburg.tz),\n", - " johannesburg.latitude, johannesburg.longitude)\n", - "\n", - "tracker_data = pvlib.tracking.singleaxis(ephem_tus['apparent_zenith'], ephem_tus['azimuth'],\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=True, gcr=2.0/7.0)\n", - "tracker_data.plot()\n", - "plt.ylim(-100,100)\n", - "\n", - "irrad_data = tus.get_clearsky(times.tz_localize(tus.tz))\n", - "dni_et = pvlib.irradiance.get_extra_radiation(irrad_data.index, method='asce')\n", - "plt.figure()\n", - "irrad_data.plot()\n", - "dni_et.plot(label='DNI ET')\n", - "\n", - "ground_irrad = pvlib.irradiance.get_ground_diffuse(tracker_data['surface_tilt'], irrad_data['ghi'], albedo=.25)\n", - "ground_irrad.plot()\n", - "\n", - "ephem_data = ephem_tus\n", - "\n", - "haydavies_diffuse = pvlib.irradiance.haydavies(tracker_data['surface_tilt'], tracker_data['surface_azimuth'], \n", - " irrad_data['dhi'], irrad_data['dni'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "haydavies_diffuse.plot(label='haydavies diffuse')\n", - "\n", - "global_in_plane = cosd(tracker_data['aoi'])*irrad_data['dni'] + haydavies_diffuse + ground_irrad\n", - "global_in_plane.plot(label='global in plane')\n", - "\n", - "plt.legend();" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "times = pd.date_range(start=datetime.datetime(2014,12,23), end=datetime.datetime(2014,12,24), freq='5Min')\n", - "\n", - "ephem_tus = pvlib.solarposition.get_solarposition(times.tz_localize(tus.tz), tus.latitude, tus.longitude)\n", - "ephem_joh = pvlib.solarposition.get_solarposition(times.tz_localize(johannesburg.tz),\n", - " johannesburg.latitude, johannesburg.longitude)\n", - "\n", - "tracker_data = pvlib.tracking.singleaxis(ephem_tus['apparent_zenith'], ephem_tus['azimuth'],\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=True, gcr=2.0/7.0)\n", - "tracker_data.plot()\n", - "plt.ylim(-100,100)\n", - "\n", - "irrad_data = tus.get_clearsky(times.tz_localize(tus.tz))\n", - "dni_et = pvlib.irradiance.get_extra_radiation(irrad_data.index, method='asce')\n", - "plt.figure()\n", - "irrad_data.plot()\n", - "dni_et.plot(label='DNI ET')\n", - "\n", - "ground_irrad = pvlib.irradiance.get_ground_diffuse(tracker_data['surface_tilt'], irrad_data['ghi'], albedo=.25)\n", - "ground_irrad.plot()\n", - "\n", - "ephem_data = ephem_tus\n", - "\n", - "haydavies_diffuse = pvlib.irradiance.haydavies(tracker_data['surface_tilt'], tracker_data['surface_azimuth'], \n", - " irrad_data['dhi'], irrad_data['dni'], dni_et,\n", - " ephem_data['apparent_zenith'], ephem_data['azimuth'])\n", - "haydavies_diffuse.plot(label='haydavies diffuse')\n", - "\n", - "global_in_plane = cosd(tracker_data['aoi'])*irrad_data['dni'] + haydavies_diffuse + ground_irrad\n", - "global_in_plane.plot(label='global in plane')\n", - "\n", - "plt.legend();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Reproduce examples from ``pvl_singleaxis.m``" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Location: \n", - " name: Albuquerque\n", - " latitude: 35\n", - " longitude: -106\n", - " altitude: 0\n", - " tz: US/Mountain\n" - ] - } - ], - "source": [ - "abq = Location(35, -106, 'US/Mountain', 0, 'Albuquerque')\n", - "print(abq)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 1:\n", - "\n", - "Horizontal single axis tracking without back-tracking (max angle = 45 deg)" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "times = pd.date_range(start=datetime.datetime(2014,6,1), end=datetime.datetime(2014,6,2), freq='5Min')\n", - "\n", - "ephem_abq = abq.get_solarposition(times.tz_localize(abq.tz))\n", - "\n", - "tracker_data = pvlib.tracking.singleaxis(ephem_abq['apparent_zenith'], ephem_abq['azimuth'],\n", - " axis_tilt=0, axis_azimuth=180, max_angle=45,\n", - " backtrack=False, gcr=2.0/7.0)\n", - "tracker_data.plot()\n", - "plt.ylim(-100,100)\n", - "plt.title('June 1, Albuquerque, NS Horizontal Single-Axis, no backtrack');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 2:\n", - "\n", - "Horizontal single axis tracking with back-tracking (assumes GCR of 0.3)" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "times = pd.date_range(start=datetime.datetime(2014,6,1), end=datetime.datetime(2014,6,2), freq='5Min')\n", - "\n", - "ephem_abq = abq.get_solarposition(times.tz_localize(abq.tz))\n", - "\n", - "tracker_data = pvlib.tracking.singleaxis(ephem_abq['apparent_zenith'], ephem_abq['azimuth'],\n", - " axis_tilt=0, axis_azimuth=180, max_angle=45,\n", - " backtrack=True, gcr=.3)\n", - "tracker_data.plot()\n", - "plt.ylim(-100,100)\n", - "plt.title('June 1, Albuquerque, NS Horizontal Single-Axis, with backtracking');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 3:\n", - "\n", - "20 deg titled single axis tracking with back-tracking (assumes GCR of 0.3)" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py:556: RuntimeWarning: invalid value encountered in remainder\n", - " surface_azimuth = surface_azimuth % 360\n" - ] - }, - { - "data": { - "image/png": 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9ts94MsbHQC2MexuK8R6k1/g9RtmzQUSqY7zvB4CLImLP9fgchjs3EhiPTUcQZbRt9QJewXgGg0nXLmbep5EYz+4K8yM8J7yA0UZ4EaPdbT6ZP2tpSObuW5tAIrsxGquW51BUrmB+UT5vVunzFebX25NKqXZ5lJ8CaiuljmUZ2H46a4CXlFIhjlGWN4jIX8CXSqn0HwEaO4jRpf6QUip97TrfkZ/fd03WiMhHQEWllN3OQ1kOpDRdSPVwrGvjjjC/DC0ZiVxYUUp1s1pDdjDdRYcxajrDMHpPrbZUVAFARJpjfAmfxKjhPsidDSjPM/T7XrAwXXOuGJ1JmmN4MrKcwceum860aGuA102/c2bh3MQY8LlHjN42E839ZcQYZHnU/L+0TZyxInJMjMGXmfUO0mjSUwejHe86hquhv9nOobFPRSAQox1jKoa7L998YGoKFd4YbsloDBfhZAx3pl2y5abLMhGjkdJTKRVlNnZvxWjM64fRkPahGOMjSiulXhejoX8+N/vbrwPuNn2pGo1GoyliOGSckTKIMjddzD+F4QpIHfD0PUbnAsz9C5QxIOwkRiN1pr2iNBqNRlO4cdigV7MbazBGb6q1Sqm/gAqpLhTz/9RR2X7cOhAqlFsHemo0Go2mCOGwmaBNF1uAGJMBLhMRewPzMpoj7B/+QhEZidHFEE9Pz6Z169Z1iFaNRqMpKuzatStcKVUu65DW4vBlCZRSEWKsP9QDuCQivkqpCyLii1FrAqMmZDsqtzIZzM6tjBmKZwI0a9ZMBQUFOVquRqPRFGpEJCfThlmGQ9x0IlLOrBGlzl/WFTiEMSVFat/y4dzsUbESc90TEamBMQO1vQkvNRqNRlOIcVTNyBdjinhnDAO3SCn1i4hsBxaJyBMYI40HgDFiX0QWYYzwTsIY0KZ70mk0Gk0RxSFdu/MC7abTaDSanCMiu5RSWS0SaDlWLmV9xyQmJhIaGkpcXJzVUjQOxM3NjcqVK+Pi4pJ1YI1GUygo0MYoNDQUb29vqlevjjh2EU+NRSiluHLlCqGhodSoUcNqORqNJo/IjcX18oy4uDh8fHy0ISpEiAg+Pj66tqvRFDEKtDECtCEqhOh7qtEUPQq8MdJoNBpNwUcbozsgIiKC6dOnOyStCRMm8OmnnzokrVSmTJlCTExM2raXl1eO4gcGBrJt27asA2o0Gs0doo3RHZCZMUpOztshU5nll94Y5RRtjDQaTV5RoHvT2TLx5wMcPH/DoWnWr1SCt+9vkOnxMWPGcPz4cQICAnBxccHLywtfX1+Cg4M5ePAgffv25ezZs8TFxfHSSy8xcuRIAFavXs0bb7xBcnIyZcuWZf369bekO2vWLJYuXcrSpUv56aefmDp1KgkJCbRs2ZLp06fj7OyMl5cXL7/8Mr///juTJ0+mXbtbF5adOnUq58+fp3PnzpQtW5aNGzcC8Oabb/LLL7/g7u7OihUrqFChAmFhYTzzzDOcOXMGMIyYn58fX375Jc7Ozvz444988cUXRERE8N5775GQkICPjw9z586lQoUKjrzkGo2miFKgB72GhIRQr149wBpjdOrUKfr06cP+/fsJDAykd+/e7N+/P61L8tWrVylTpgyxsbE0b96cTZs2kZKSQpMmTdi8eTM1atRICzNhwgS8vLxwc3NjzZo1LF68mBMnTvDaa6+xdOlSXFxceO6552jVqhWPPfYYIsLChQsZOHBgpvqqV69OUFAQZcuWBYyOAStXruT+++/ntddeo0SJEowbN46hQ4fy3HPP0a5dO86cOUP37t0JCQlJ0zR69GgArl27RqlSpRARvv76a0JCQpg8ebIDr/hNbO+tRqO5ffSg1zzGntHIK1q0aHHL2JipU6eybNkyAM6ePcvRo0cJCwujQ4cOaeHKlCmTFn7OnDlUrlyZ5cuX4+Liwvr169m1axfNmzcHIDY2lvLljVU4nJ2defjhh3Okz9XVlT59+gDQtGlT1q5dC8C6des4ePBgWrgbN24QGRn5j/ihoaEMGjSICxcukJCQoMcBaTQah1FojFF+wNPTM+13YGAg69atY/v27Xh4eNCpUyfi4uJQSmXadfmee+4hODg4bcCnUorhw4czadKkf4R1c3PD2dk5R/pcXFzS8nZ2diYpKQmAlJQUtm/fjru7u934L774Ii+//DIPPPAAgYGBTJgwIUf5azQaTWboDgx3gLe3d4Y1CIDr169TunRpPDw8OHToEH/++ScArVu3ZtOmTZw8eRIwXHmpNG7cmK+++ooHHniA8+fP06VLF5YsWcLly5fTwp4+nf3Z4O3ps6Vbt27873//S9sODg7OMP7169fx8zPWQPz+++/RaDQaR6GN0R3g4+ND27Ztueeee3j11VdvOdajRw+SkpLw9/fnrbfeolWrVgCUK1eOmTNn0q9fPxo1asSgQYNuideuXTs+/fRTevfuTfny5Xnvvffo1q0b/v7+3HfffVy4cCHb+kaOHEnPnj3p3Lmz3XBTp04lKCgIf39/6tevz5dffgnA/fffz7JlywgICGDLli1MmDCBAQMG0L59+7R2KI1Go3EEhaYDg6Zwoe+tRuMYCkoHBl0z0mg0Go3l6A4MhYCHHnoorQ0qlY8++oju3btbpEij0WhyhjZGhYDU7uMajUZTUNFuOo1Go9FYjjZGGo1Go7EchxgjEakiIhtFJEREDojIS+b+CSJyTkSCzb9eNnHGisgxETksIrpxQ6PRaIowjqoZJQGvKKXqAa2A50Wkvnnsv0qpAPNvFYB5bDDQAOgBTBeRnE0nUEDp1asXERERVsvQaDSafIVDOjAopS4AF8zfkSISAvjZifIgsEApFQ+cFJFjQAtguyP02BKXFMfVuKtZB8yEsu5lcXV2dZieVatWOSwtjSY/kZiSyKErh/j78t+ERoWilEJxcxxj6rbtvvyCE07UKVOHtn5t8fOyV3RpcguH96YTkepAY+AvoC3wgog8BgRh1J6uYRiqP22ihWLfeN02SSlJRCZkPSVOZnFdnV0p625/toGMloqYP38+H3zwAUopevfuzUcffQT8cyZtjaagkpicyL7wffx18S92XtzJvrB9xCXHAeDt4o2TkxNi/oOby8kLku+Wlk9ITmDRkUU4iROfdfyMLtW6WC2pyOFQYyQiXsBPwL+VUjdEZAbwLqDM/ycD/wIyehL/8bkkIiOBkQBVq1a1n/lvY+Divn/s9gLq5OQk0sQorpbyI7n7+1mG/fbbb29ZKqJ37968/vrr7Nq1i9KlS9OtWzeWL19O3759b0OJRpM/SEpJIuRKCDsu7mDHxR38fflvYpNiEYS6ZerS/+7+BJQPoHH5xpT3KG+13ByhlOLUjVOM2zqOsVvH8oP3D9QtU9dqWUUKhxkjEXHBMERzlVJLAZRSl2yOzwJ+MTdDgSo20SsD59OnqZSaCcwEYzogR2nNDqlfcykqJcuw6ZeK+Prrr+nUqRPlypUDYNiwYWzevFkbI02BIzw2nK3ntrI5dDN/nv+TyETDy1CrVC0eqvUQLSq2oFnFZpQsXtJipXeGiFCjZA2mdJ7C4F8H8+KGF5nfe36WXhGN43CIMRKjzv0NEKKU+sxmv6/ZngTwELDf/L0SmCcinwGVgNrAjjsS0fPDO4qeEWFXD1EiC2OU0VIRjRo14vjx4w7Xo9HkNkopjlw7woazG9h8djP7rxivbDn3cnSt1pXWlVrTvGLzQltIl/Mox9R7pzLitxH8Z+N/+Kb7Nw5tM9ZkjqNqRm2BR4F9IhJs7nsDGCIiARguuFPA0wBKqQMisgg4iNET73mlVLKDtDgMJ5zIaiLZjJaKiI2NZdOmTYSHh1O6dGnmz5/Piy++mEeqNZqckWqAfj/1O2tPr+XUjVMIQsOyDXk+4Hk6VO5AvTL18l07T27RwKcB77V7j9GbRvPO9nd4t+27RebcrcRRvem2knE7UKZdx5RS7wNZN8hYiJM4kYL9mlGPHj348ssv8ff3p06dOrRq1QpfX18mTZpE586dUUrRq1cvHnzwwTxSrdFkjzM3zrDy+Ep+P/U7p26cwkmcaF6xOY/Wf5QuVbvg4+5jtUTL6F69O8cjjjNjzwxql67N8AbDrZZU6NFz09lBRLJsMypevDi//fZbhseGDh36j32nTp1yhDSN5raISYxh7em1LDu2jF2XdqUZoMcaPEaXql0o41bGaon5hmcaPcOxiGN8tuszapasSfvK7a2WVKjRxsgOTuKUrQ4MGk1+59DVQ8w/NJ/VJ1cTkxRDtRLVeKnJS9xf834qeFawWl6+xEmceK/te5y5cYaxW8eyuM9ifL18rZZVaNHGyA5O4kRySr5rytJoskVySjKbQjcx5+Acgi4F4V7Mne7Vu/NQrYdoXL6xbgfJBh4uHnzW6TMG/jKQ0ZtGM7vHbFycXayWVSjRxsgOTuJEokq0WoZGkyNiEmNYdmwZc0PmcjbyLL6evrzS9BX63d2PEq4lrJZX4KhaoirvtHmHVza9wv+C/8d/mv7HakmFEm2M7OBE1h0YNJr8QnRiNPMPzef7A98TER+Bfzl/RjUZRdeqXSnmpF/1O6Fb9W48fP5hvtv/He392tOsYr5fxbvAoZ9QO2SnA4NGYzWxSbHMDZmbZoTa+bXjaf+nCSgfYLW0QsVrzV9jx8UdvLn1TZY+uBRPF0+rJRUq9HpGdnCSrMcZaTRWkZySzPJjy+mztA+f7/6ce8rew9xec5nRdYY2RLmAh4sHH7T7gAvRF5i6e6rVcgodumZkh9TedEop3diryVfsuLCDj3d+zOFrh2lYtiGfdPyEJhWaWC2r0BNQPoAhdYcw/9B8etboqY2+A9E1Izukzk+Xm1PeDxkyBH9/f/773//mWh45Zfz48axbt84haU2ZMoWYmJi0bS8vL4ekW1QJjw1nzJYxPLHmCaISo/ikwyfM7TVXG6I8ZFSTUVTwrMDE7RNJSkmyWk6hQdeM7OAkhq1OUSlpvx1FUlIS4eHhbNu2jdOnTzs07TvlnXfecVhaU6ZM4ZFHHsHDw8NhaRZFUlQKS44sYcquKcQlx/Fso2d5ouETFHcubrW0Ioeniydjmo/h34H/ZtHhRQyt98/B7ZqcU2iM0Uc7PuLQ1UMOTbN6ier0v7u/3U4M0dHRDBw4kNDQUJKTk3nrrbd4/fXX09YsCgoKYvTo0QQGBjJhwgTOnz/PqVOnKFu2LPv37+fy5csEBATwxRdfcOjQIWbOnElCQgK1atVizpw5eHh4cOnSJZ555hlOnDgBwIwZM2jTpg0//vgjU6dOJSEhgZYtWzJ9+nScnTNeMPfZZ59l586dxMbG0r9/fyZOnEhQUBBPPvkkAMnJyezfvx+lFCNGjKBPnz7079+f6tWrM3ToUDZu3EhiYiIzZ85k7NixHDt2jFdffZVnnnmGwMBAPv30U375xZiU/YUXXqBZs2bcuHGD8+fP07lzZ8qWLcvGjRsBePPNN/nll19wd3dnxYoVVKigB13a41zUOcZtHUfQpSBa+rZkXMtxVC9Z3WpZRZp7q95LS9+WTAueRq8avSjlVspqSQUe7aazQ2o7kb1ODKtXr6ZSpUrs2bOH/fv306NHD7tp7tq1ixUrVjBv3jxWrlzJXXfdRXBwMO3bt6dfv37s3LmTPXv2UK9ePb755hsARo0aRceOHdmzZw+7d++mQYMGhISEsHDhQv744w+Cg4NxdnZm7ty5meb7/vvvExQUxN69e9m0aRN79+6lWbNmBAcHExwcTI8ePRg9enSGcatUqcL27dtp3749I0aMYMmSJfz555+MHz/e7rmOGjWKSpUqsXHjxjRDFB0dTatWrdizZw8dOnRg1qxZdtMoyiil+OnIT/Rb0Y+QqyG80+YdZt03SxuifICIMKb5GKITo5kWPM1qOYWCQlMzer3F6w5PMzIhkjM3ztitGTVs2JDRo0fz+uuv06dPH9q3tz9/1QMPPIC7u3uGx/bv38+4ceOIiIggKiqK7t27A7BhwwZ++OEHAJydnSlZsiRz5sxh165dNG/eHIDY2FjKl898QbNFixYxc+ZMkpKSuHDhAgcPHsTf3z/t2O7du1mzZk2mmlPPNSoqCm9vb7y9vXFzcyMiIsLu+abH1dWVPn36ANC0aVPWrgTr1rIAACAASURBVF2bo/hFhYi4CN764y0CQwNpUbEF77Z9l0pelayWpbGhVulaPFz7YZYcWcJjDR6jineVrCNpMqXQGKPcIG2BPTsDX++++2527drFqlWrGDt2LN26daNYsWKkpBhx4uLibgnv6Zn52IQRI0awfPlyGjVqxOzZswkMDMw0rFKK4cOHM2nSpCzP4+TJk3z66afs3LmT0qVLM2LEiDRdBw4c4O2332bz5s2ZuviKFzfaJZycnNJ+p24nJSXdcr4ZnbMtLi4uaTVOZ2dnkpJ0A3B69oTtYfSm0VyJvcLrzV9naL2hDm+z1DiGpxs9zcrjK5kePJ1J7bN+FzWZo59wO9h2YMiM8+fP4+HhwSOPPMLo0aPZvXs31atXZ9euXQD89NNP2c4vMjISX19fEhMTb3G5denShRkzZgBG286NGzfo0qULS5Ys4fLlywBcvXo1044QN27cwNPTk5IlS3Lp0qW0WcavX7/O4MGD+eGHH9JWpb0dqlWrxsGDB4mPj+f69eusX78+7Zi3tzeRkZG3nXZRQinFnINzGPHbCJzFmTk95/BI/Ue0IcrHlPcoz5B6Q/j1xK8cuXbEajkFGl0zskN2jNG+fft49dVXcXJywsXFhRkzZhAbG8sTTzzBBx98QMuWLbOd37vvvkvLli2pVq0aDRs2TCvEP//8c0aOHMk333yDs7MzM2bMoHXr1rz33nt069aNlJQUXFxcmDZtGtWqVftHuo0aNaJx48Y0aNCAmjVr0rZtWwCWL1/O6dOneeqpp9LCBgcH/yN+VlSpUoWBAwfi7+9P7dq1ady4cdqxkSNH0rNnT3x9fdPajTT/JC4pjvHbxvPbyd/oXKUz77Z9t8Av5V1UeOKeJ1h0eBEz987k046fWi2nwCIFZYaBZs2aqaCgoFv2hYSEUK9evVzLMyE5gaPXjuLn5ad7y+QxuX1v8xOXYy7z0oaXOHDlAKOajOKJe57Qg6wLGFN2TeHb/d+you8KapSsYbWcWxCRXUqpfD+Znq7/2yG1QNDz02lyiwNXDjDk1yEcv36cKZ2n8GTDJ7UhKoA8Wv9RijsX55t931gtpcCijZEdnMzLU5Bm7m7ZsiUBAQG3/O3bt89qWZoM2BK6hcdXP57WPnRv1XutlqS5TXzcfXj47of59cSvXIi6YLWcAolDjJGIVBGRjSISIiIHROQlc38ZEVkrIkfN/0vbxBkrIsdE5LCIdHeEDkeTnTaj/MZff/2VNnYo9a9hw4ZWy9KkY+Xxlby44UWql6jOvN7zqFOmjtWSNHfI8PrDSSGFBYcXWC2lQOKomlES8IpSqh7QCnheROoDY4D1SqnawHpzG/PYYKAB0AOYLiIZ9yu2EBHRy0hoHM7s/bN5c+ubNKvQjG+7f0tZ97JWS9I4AF8vX+6tci8/Hf2JuKTMhzdoMsYhxkgpdUEptdv8HQmEAH7Ag8D3ZrDvgb7m7weBBUqpeKXUSeAY0MIRWhyNE3oZCY1jUEoxZdcUJu+aTLdq3ZjedTpernri2MLE0HpDuR5/nVUnV1ktpcDh8DYjEakONAb+AioopS6AYbCA1CkC/ICzNtFCzX35DhEpUG1GmvyJUopPgj7hm/3fMODuAXzc4WNcnV2tlqVxMM0qNKN26drMC5mnP2JziEONkYh4AT8B/1ZK3bAXNIN9/7hzIjJSRIJEJCgsLMxRMnNE6ppGGs3tkqJS+OCvD5hzcA7D6g3jrVZv4eyU77zSGgcgIgytO5TD1w6z+/Juq+UUKBxmjETEBcMQzVVKLTV3XxIRX/O4L3DZ3B8K2E7kVBk4nz5NpdRMpVQzpVSzO5kh4E7I7dVe82o9ow8++OCW7TZt2gBw6tQp7rnnHsAY8LpqlXYvOJIUlcK7f77LgsMLGNFgBK83f1133S7k9K7ZmxKuJZgbkvnExZp/4qjedAJ8A4QopT6zObQSGG7+Hg6ssNk/WESKi0gNoDawwxFaHE1u1YySkpK4ePEi27ZtY+/evfznP/9xeB62pDdG27Zt+0cYbYwci1KKD3d8yJIjS3iq4VO83PRlbYiKAO7F3Hm49sNsOLOBi9EXrZZTYHDUdEBtgUeBfSKSOp/MG8CHwCIReQI4AwwAUEodEJFFwEGMnnjPK6WS70TAxQ8+ID7EsesZFa9XF6cXhpGckrm0grCe0ZgxY4iNjSUgIIAGDRowd+5cvLy8iIqKSguTkJDA+PHjiY2NZevWrYwdO5ZBgwY59HoWNab+PZX5h+YzvP5wXmz8ojZERYhBdQfx/cHvWXh4IS81eclqOQUCR/Wm26qUEqWUv1IqwPxbpZS6opTqopSqbf5/1SbO+0qpu5RSdZRSvzlCR24g2O/AUBDWM/rwww9xd3cnODg40zCurq688847DBo0iODgYG2I7pCv933N1/u+ZsDdA3il2SvaEBUx/Lz86Fi5I0uPLiUxOdFqOQWCQjNRasU33siVdEMjQwvFekaavGNeyDw+3/05vWv2ZlyrcdoQFVEG1hnIxrMb2XB2A92r58tx/fmKQmOMcousOjAUhPWMNHnH8mPLmbRjUtrM23r5h6JLa9/WVPKsxJIjS7Qxygb6TcmCrDowFIT1jMBY1C4x0b67QK89dGesObWGt7e9TWvf1nza8VNcnFyslqSxEGcnZ/rV7sefF/7kzI0zVsvJ92hjlAWCMR1QZrWjffv20aJFCwICAnj//fcZN24cb7/9Ni+99BLt27fPdPXUjEhdz+i+++6jbt26afs///xzNm7cSMOGDWnatCkHDhygfv36aesZ+fv7c99993HhQuYTNI4cORJ/f3+GDRuWaZjOnTtz8OBBAgICWLhwYbZ1a2Bz6GZe3/I6jco1YkrnKXpAqwaAvrX64izO/HQ0+x+lRRW9nlEWhMWEcTnmMvV86mmXSx5SkNYz2nlxJ8+ue5aaJWvyTfdv8Hb1tlqSJh8xasMo9oTtYV3/dbg4531tWa9nVEgoiDN3a/KOfWH7eGH9C1T2qsxX932lDZHmHwy4ewBX466y8axe6dgeugNDFqQao4JSg2zZsiXx8fG37JszZ45eRiIXOHz1MM+se4YybmWY2W0mpd1KZx1JU+RoU6kNvp6+LDmyhG7Vu1ktJ9+ijVEWFLSa0V9//WW1hCLBqeuneHrt07gVc+Pr7l9T3kN3q9dkTGpHhmnB0zh74yxVSlTJOlIRpMC76XK7xiLmnK565u68I7/XQs9HneeptU+hUMzqNgs/r3w54bwmH/FQrYdwEifdkcEOBdoYubm5ceXKlVwtvFIbHGOTYnMtD81NlFJcuXIFNzc3q6VkSHhsOE+teYroxGhm3jeTmiVrWi1JUwCo4FmBDpU7sOzYMj0jQyYUaDdd5cqVCQ0NJbeXl7gSc4UrXKGchzUzhxc13NzcqFy5stUy/sGV2Cs8+fuThMWGMfO+mXqpcE2OGHD3AALPBhIYGsh91e6zWk6+o0AbIxcXF2rUqJHr+ew5tIf3/3qfeb3m0bCc7ghQFImIi+CptU9xLuoc07tOJ6B8gNWSNAWMtpXaUtGzIosPL9bGKAMKtJsur+hTsw/uxdxZeFgPBC2KXI+/zsi1Izlz4wxfdPmC5hWbWy1JUwBJ7ciw/cJ2zkaezTpCEUMbo2zg5epFn5p9WH1qNdfjr1stR5OH3Ei4wdNrn+ZYxDGmdJ5CK99WVkvSFGBSOzIsPbo068BFDG2MssmgOoOIT45n5fGVVkvR5BFRCVE8u+5ZDl87zH87/Zd2fu2slqQp4FT0rGh0ZDi6jMQU3ZHBFm2MskmdMnXwL+fPosOL8n3XY82dE5kQyXPrn+Ng+EE+7fgpHat0tFqSppAw4O4BXIm7wqazm6yWkq/QxigHDKoziFM3TrHz4k6rpWhykWtx13hyzZPsC9vHRx0+okvVLlZL0hQi2lZqSwWPCiw+sthqKfkKbYxyQLdq3ShZvCQLDi+wWoomlwiLCeNfv/+LY9eO8fm9n+vpWzQOx9nJmf5392fb+W2ciDhhtZx8gzZGOcCtmBv9avVj/Zn1nIs6Z7UcjYM5H3WeEatHpHXf7lC5g9WSNIWUgXUG4urkypyQOVZLyTc4xBiJyLcicllE9tvsmyAi50Qk2PzrZXNsrIgcE5HDIlKglkAcWm8oTjjx48EfrZaicSAhV0IYtmoY1+KuMfO+mbT0bWm1JE0hpoxbGe6/635+Pv4z1+KuWS0nX+ComtFsoEcG+/+rlAow/1YBiEh9YDDQwIwzXUSyvwKdxVT0rEiPGj1YenQpNxJuWC1H4wD+OPcHI1aPoJhTMX7o+YMe0KrJEx6p9wjxyfEsOrzIain5AocYI6XUZuBqNoM/CCxQSsUrpU4Cx4AWjtCRVwxvMJyYpBgWH9YNkAWdZUeX8fz656niXYW5veZSq3QtqyVpigi1SteinV875h2ap+e+JPfbjF4Qkb2mGy91sRc/wHb4cai5r8BQt0xd2lRqww8Hf9APUQElKSWJT3Z+wvht42lRsQWze8zWy0Bo8pynGj7F1bir/HREz+adm8ZoBnAXEABcACab+yWDsBkO3BGRkSISJCJBuT0Zak552v9p/RAVUCLiInhm3TP8cPAHhtYdyrSu0/By9bJalqYI0qRCE5pVaMZ3B74jITnBajmWkmvGSCl1SSmVrJRKAWZx0xUXCtiuLlUZOJ9JGjOVUs2UUs3KlctfM2Y3qdCE5hWb8+3+b4lPjs86giZfcOjqIQb/Opi/L/3Nu23fZWzLsbg4uVgtS1OEecr/KS7HXGb5seVWS7GUXDNGIuJrs/kQkNrTbiUwWESKi0gNoDawI7d05CZP+z9NWGyYbjsqACilmBsyl6G/DiUxOZHZPWbTt1Zfq2VpNLT2bU3j8o35as9XRdrt76iu3fOB7UAdEQkVkSeAj0Vkn4jsBToD/wFQSh0AFgEHgdXA80qpZEfoyGtaVGxBS9+WzNw7k6iEKKvlaDLhWtw1Rm0YxYc7PqR1pdYsfmCxXgpEk28QEf7d5N9cjr3MvJB5VsuxDCko86w1a9ZMBQUFWS3jHxwIP8DgXwfztP/TvND4BavlaNKxJXQLE7ZN4Fr8NV5u+jLD6g1DJKNmS43GWp5f/zx/X/6b3/r9RsniJR2WrojsUko1c1iCuYSegeEOaVC2AT2q9+CHgz9wKfqS1XI0Jtfjr/Pm1jd5bv1zeLt6M7fXXB6p/4g2RJp8y6jGo4hOjGZa8DSrpViCNkYOYFSTUSSnJPPZrs+sllLkUUqx9vRa+q7oy68nfmWk/0gW3b+Iej71rJam0dilTpk6DLx7IAsPL+Tw1cNWy8lztDFyAFW8q/D4PY+z6uQqgi7mP1diUeHE9RM8vfZpXg58GR83H+b3ns+LjV/E1dnVamkaTbZ4ofELlHQtyQd/fUCKSrFaTp6ijZGDeKLhE1TyrMT7f71PYrJeNCsvuZFwg8lBk3l4xcPsD9/PmBZjWNBnga4NaQocJYuX5D9N/8Puy7tZcmSJ1XLyFG2MHIR7MXfGthzLsYhjfL3/a6vlFAnikuL4bv939PypJ7MPzOaBWg/w80M/M6zeMIo5FbNankZzW/St1ZdWvq2YHDS5SK0OoI2RA+lUpRM9a/Rk5t6ZHL121Go5hZaE5AQWH1lM72W9+WzXZzQs15DF9y9mYpuJ+Lj7WC1Po7kjRISJbSYCMP6P8SSnFMiRLzlGGyMHM6bFGLxdvHlj6xt6ZgYHE5sUy48Hf6Tn0p68s/0dKnpU5Nvu3/Jl1y+pW6au1fI0GodRyasSY1qMYcfFHczaN8tqOXmCNkYOpoxbGd5p+w6Hrh5ictDkrCNosiQsJozpwdPp8VMPPtr5EZW9KvNl1y/5sdePNK/Y3Gp5Gk2u0LdWX/rU7MOMPTPYeXGn1XJyHe1YzwU6VenEo/UfZc7BObSs2JIu1bpYLanAoZRiT9ge5oXMY+3ptSSpJNr7teeJhk/QtEJTq+VpNLmOiDCu1Tj2h+9nS+iWQv/hpWdgyCUSkxN59LdHORN5hsX3L8bPq0CtkmEZkQmRrDm1hoWHFxJyNQRvF2/61u7L4DqDqVqiqtXyNJo853r89TuakaGgzMCgjVEucjbyLAN/HkjNUjWZ3WO2nh06E5JSkth+fjsrj69k49mNxCfHU6tULYbUHUKfmn3wcPGwWqJGU2ApKMZIu+lykSreVZjQZgKjN43mg78+YHyr8Xo6GpMUlcLesL2sOb2GVSdWcSXuCqWKl6Jf7X48cNcDNPBpoK+VRlOE0MYol+levTuHrh7i631fU6tULYbVG2a1JMtISkki6FIQ606vY8OZDYTFhlHMqRgdK3fk/rvup4NfB1ycde1RoymKaGOUB7zY+EVORJzg450fU61ENdr5tbNaUp4RHhvO9vPb+eP8H/xx7g8i4iNwc3ajnV87ulbrSofKHfB29bZapkajsRjdZpRHxCTGMHz1cEIjQ/mx14/cVeouqyXlCokpiey5vCfN+IRcDQGMLu9tKrWhS9UutPVri3sxd4uVajRFg4LSZqSNUR5yMfoig38ZjHsxd+b1nkdpt9JWS7pjEpMTOXDlALsv72bXpV3surSL6MRonMWZRuUa0c6vHW382lCvTD2cRA9r02jyGm2MHExhMEYAe8P28vjqx2lYriFfdv2yQPWwS1JJXI+/zsnrJ9l1aRe7L+1mT9ge4pLjAKhRsgZNKzSlXaV2tPBtod1vGk0+QBsjB1NYjBHAqhOreH3L61bLuCMEoW6ZujSt0JQmFZrQpHwTPS+cRpMPKSjGSHdgsIBeNXvhVsyNI9eOWC0lRziLMyWLl8TX05eA8gG65qPRaByGQ4yRiHwL9AEuK6XuMfeVARYC1YFTwECl1DXz2FjgCSAZGKWU+t0ROgoS91a9l3ur3mu1DI1Go8kXOKpFeTbQI92+McB6pVRtYL25jYjUBwYDDcw400XE2UE6NBqNRlMAcYgxUkptBq6m2/0g8L35+3ugr83+BUqpeKXUSeAY0MIROjQajUZTMMnNvrYVlFIXAMz/y5v7/YCzNuFCzX0ajUajKaJYMfAjownHMuzSJyIjRSRIRILCwsJyWZZGo9ForCI3jdElEfEFMP+/bO4PBarYhKsMnM8oAaXUTKVUM6VUs3LlyuWiVI1Go9FYSW4ao5XAcPP3cGCFzf7BIlJcRGoAtYEduahDo9FoNPkcR3Xtng90AsqKSCjwNvAhsEhEngDOAAMAlFIHRGQRcBBIAp5XSiU7QodGo9FoCiYOMUZKqSGZHMpwvW2l1PvA+47IW6PRaDQFHz0Dg0aj0eQmR9fBlWPgVhIa9AUXPWN9RmhjlBXhR2HuAOg7A6q1tlqNRqMpSOxdBEufurl9cAUMngtOepx/evSc/llxcS9cOwkLhsLVE1ar0Wg0BYXT22DF81C9PYw+Bt0nwZHfYPVYq5XlS7QxyorocOP/5ASYNxhiI6zVo9Fo8j9XjsOCYVCqKgz8AbzKQevnoNXzsOMr+HOG1QrzHdoYZUV0OCAweJ5RM1o8ApITrVal0WjyKzFXYd5A4/fQReBR5uaxbu9C3T5G7SjkF2v05VO0McqKmHDjYarZEe6fAic2wm+vQQFZB0qj0eQhSQmw6DGIOGN8wPrcdetxJ2foNwv8msBPT0LoLmt05kO0McqK6HDwNGd/aPwItH0Jgr6Fv76yVpdGo8lfKAU/vwSntsCD0zLv8OTqAUMWgFd5mD8Irp3KU5n5FW2MsiI6HDzK3tzuMsGoZv8+Fo6ssUyWRqPJZ2ybCnvmQccx4D/Qfliv8jBsidEWPXcAxF7LG435GG2MsiImHDxtltN2coJ+M6HCPbDkX3DpgHXaNBpN/uDoOlj7NtTvC53GZC9OubvNtuiTsPBRw8VXhNHGKCts3XSpuHrC0IVQ3AvmDYKoyxnH1Wg0hZ/wY8aHaYV7oO90kIwWJsiE6u0Ml96pLbDyxSLdFq2NkT2SkyD26q1uulRKVIIh8w1jpXvYaTRFk7gbsGAIOBczBrO6euY8jUaDoPObsHcBBH7oeI0FBG2M7BFrLl7rmYExAqjUGB74Ak7/AWvG5Z0ujUZjPSkpsHSkMaZowPdQutrtp9XhVQgYBps+hOB5jtNYgNDTAdkjdcCrh0/mYfwHwPm/4c9phnFqNDhvtGk0GmsJ/MCYUaHnJ1Cj/Z2lJQJ9psD1UMNdV6IS1OzkCJUFBl0zskeMaYzStxml5753jCk/fn4Jzgfnvi6NRmMtB1fA5k+g8aPQ4qmsw2eHYq7GbA0+tWHhY3D5kGPSLSBoY2SPaHOp88zcdKk4F4P+3xltSwsf1d00NZrCzJXjsPx58GsGvSfnrMNCVriXgmGLwMXN6PIdeclxaedztDGyR/QV4/+MOjCkx6uc8VUTeR5WvFCke8VoNIWWxDijw5KTMwyYDcWKOz6PUlWN3rox4cag2IRox+eRD9HGyB4x5rx0tnNL2aNyU+g6EQ79Ajtm5ao0jUZjAWveNGbyf+hLKFUl9/Kp1Bj6fwsX9hjTBqUU/sWwtTGyR3SYYYhysvZI6+ehdnfjodXtRxpN4WH/Utj5NbR+Aer0zP386vSEHh/B4VWwdnzu52cx2hjZI/1UQNlBxFiIz6MsLHkc4iNzR5tGo8k7rp2ClaOgcnPoOiHv8m05EjqNhfoP5l2eFpHrxkhETonIPhEJFpEgc18ZEVkrIkfN/0vnto7bIuZK1j3pMsLTB/p/YzzAq7M5NYhGo8mfpKQYHRYAHv4GnF3yNv9OY6BKi7zN0wLyqmbUWSkVoJRqZm6PAdYrpWoD683t/Ed0unnpckK1NtD23/D3j3B0rWN1aTSavGPHV3B6K/SYdGcDWzV2scpN9yDwvfn7e6CvRTrsEx2WczedLZ3GQLm6RvVerxCr0RQ8wo/CuglGO3DjR6xWU6jJixkYFLBGRBTwlVJqJlBBKXUBQCl1QUTK51bmKTExJF3O4USmSfFwbjeE3cDFoyy3PYqgWHFj4sSv7zM6NDw47aau6GiSwsJuN2VrKOZCsbI+OLm5Wa1Ek49RSUkkhYdDSgoqRYFKMVxd+Xm4g5MTLpUrI0423+cpybD8WSjmBg9Mdex4Is0/yAtj1FYpdd40OGtFJNvDikVkJDASoGrVqreVefSOHYQ+8+xtxYXy+NZMptS9txkdwK+psSDf1s+M6eVr30fStWucfLBvzo1kPsHFzw+ve+/Fu2tXPJo2QYrpWaWKOinx8URv20bkunVErd9AckTB8wS4VKpEqQH98XnyScTFBbZ9AaE7jXYi74pWyyv05HopopQ6b/5/WUSWAS2ASyLia9aKfIEMS2WzFjUToFmzZrf1WRVX7S4iX3krfcK4xoXhEXEMj+tH8Lh+FOekWADiPXyJKXU30SVrI3N/Jua6C6VuJ2NbOo2Bw78Z7roXdnBp0iSSrl2j4oQJOHl63GnqeYZKSCApLIzYPXuJWLiQa3Pm4FyqVJph8mzTWteaihDJUdFEb95kGKDATaTExODk5UXx9h24Xqs+KcVcUAgpIiBCyu37GHIdp/g4fHZtJezzqSilKDekFwROMhbSvOdhq+UVCXLVGImIJ+CklIo0f3cD3gFWAsOBD83/V+SWhn3xrjx73B1/OUFTpyM0dTpKE6cj+IjR5fqclw9r3f35I+UetqU0IJySkAJcg1kum7h28ASV7lREseLw4P/g6y5EffkKN1Zuoexzz1F68KA7TdkyUqKjidqylch164hcu5brS5ciHh54tWuH931d8erYEecSJayWqXEwSdeuEbVhA5Fr1xG9bRsqIQFnHx+8evXiRN3mLEqpyO9HrpBwNsVqqTmkJCWqDWJynDNMn4F3/GrcxBl6fqzdc3mEqFz044pITWCZuVkMmKeUel9EfIBFQFXgDDBAKXXVXlrNmjVTQUFBOdYQtWclHiv+hVOKsd5QbImaRJVvSlT5xkRWbEW8d/UMHzal4Phjw6nm6Uyb1ctznG9GJM55kpOTN+NcoRo1fv4VJ1dXh6RrNSohgegdO4lct5bI9etJDgsHFxc8W7QwDNO99+JSPteaBTW5TMLZs0Rt3Ejk+g3E7NwJKSm4VKqEV9euhDVuzdL4Mqzcd4kr0QmU8XTlgUaV6HB3WVydnXESEJG0//NruR4Vl8SSXaFsCTrGvM0f4eFyneofPodTp5etlnbHiMgum57M+ZZcrRkppU4AjTLYfwXokpt5p+JVtRG0eQGqtITKLXD39MEdyM7ood1eZXC9etwhOlRiIudWRZKS5ETVbi6FxhABiKsrXu3a4tWuLRXHjyd2zx6jxrRuHRcnTISJ7+DeqBHeXbvg3bUrrtWrWy1ZYweVkkLcvn1EbthI1IYNxB89CoBrrbvwGfkUca068HOMN0v/PsfxTdG4FovlvnoV6NfEjw53l8PFuWCOpe9ctzwjE+Jxi4wmfqsLF3+7hG9HheRXC1rIyNWakSO53ZrRnfDp4JfpuWc19fftvaNGeqUUFydOJGLBQio91ZWSkT/Ao8vhrs4OVJv/UEqRcOyY6cpbR9zBg4BRqHl37oxXp064N2qkO0DkA1JiY4ne/idRGzcQuTGQ5PBwcHbGo2lTvO7tjFOb9qy94cqy3ef48+QVlILm1UvTr0llejX0paR7Hg8EzSXCN06n7KaxrDnTlyrbdlB+zOv4jBhhtaw7QteMCgHxpcripBRJYWG4+Predjrh/5tGxIKF+Dz1JCVfegG+CDTGLtToCE4F8ysyO4gIxWvXpnjt2pR99lkSz50jcv16Ijdu5Mp3s7ky62ucS5bEs0MHvDp1xKtdO5xLlrRadpEhKTycqMBAIjdsNNp/4uJw8vTEs0N7vO+9F7c2bdkensTS3edYM+cIcYkpVPfx4N9d7uahxn5U9Sk4nW+yRWwEZYM+47R3Y54u9zDLWrtz+cOPKFamDCUfeMBqdYUebYzskOhjDHhNvHDxto1R+KxZhE+bRsl+ZBOxSgAAIABJREFU/Sj38stG+9S9b8Kyp2Hje9DiafCu4EjZ+RYXPz/KPPYYZR57jOTISKL/2EZUYCBRmzZx4+efjS/xJk0Mw9SpE641a2oXiQNRycnE7d9P1JatRG3ZTNzefaAUxSr5Uurhh/G6tzOezZsTEh7H7N2hLJ+xm/CoeEq6u9C/aWUealyZJlVLFc57cuZPYwnxmKtUHDGfmkuiedG7L7OTYzk/9g3EtTglenS3WmWhRrvp7DD+v8sZ8tVY/D6bTIlevXIUVylF2NSpXJnxJSX69KHSh5NuuqNSkmHeQDi2DsQJqreDe/pDvfuzv1xFIUIlJxO7dy9RgZuICgwk/vBhAFyqVMGrfXs827XDo0ULnL08LVZa8Ei6epXorVuJ2ryF6K1bjfE/Irj5N8SrQwe8u3SheJ06XI6MZ/nf51j29zkOXYzExVnoXKc8/ZpUpnPdchQvloOZ6wsKN87DgWWwbwmc322sI9RvFlRtxZ6zEfSbsY0H65Rm1OoviN2zB993JlKqf/88l5mSkIA4OyPOt3cPCoqbThsjO0yc/ycDJz5O+ddew+dfj2c7Xkp8PBfGvcWNn3+m1ID+VJwwIeMHKeww7P/JeBmuHgcnF6jVxTBMdXpCcS8Hnk3BIfH8eaI2bSIyMJCYHTtRsbFQrBgeAQF4tmuLZ9u2uNWvf9svZ2FGJSYSu29fmgGKO3AAlMK5TBm82rfDs30HPNu2oVjp0sQkJPH7gYss3X2OP46Fk6KgcdVS9GvsRx//SpT2LDydbNKICoODyw0jdHoboMC3ETQcAE2Gg9vN4QhT1x/ls7VH+KBnLdr9OJnoLVso+9yzlH3hhVtnashF4k+c4NwroynRvRtln3nmttLQxsjBWGGMPlkdwr2jh+A3ZCAV33wjW3ESQkM59/IrxO3dS7n/t3fm8VFV5/9/n5nJMtkTAlkm7EsgYUvYN60LihtIwH6tK2LVqq3SarX229Zqa2tdfrX9WrcibrValaAWFXeq4EI0YRMk7CUJkBiWrJPZzu+PcyNDCItkZu5M5rxfr/O6a2Y+uXfOfe55zjnPs+Bmelx33fHdGlLC7tXKMK0vhYZqsNkhf4aacDdoukpDHIX4XC5ayytoXrmS5pUrvx0EYU1NJWHyJJKmTCFhwgQVyqU7uo+Og/T5aPv6a5o//Yzmzz+j5YsvkS0tYLFgHzWKpFOmkTh1GvGFBQiLBa9P8unWekorqli2fg8tLi956XZKihxcWORgQM9u+ALUuh82LlX1a/t/VHiizHwYMRcKSyBzUKd/5vNJ5j9Txidb6vnX/DFkLfoLBxeXknT66eT+8Q9B7d+UUnLg5ZfZ+4c/YomPJ+cP95B8+smFgtHGKMCYYYye+GgrfW+ZT/74EfT728PHPFdKScMbb7LnrrtASnL+cA8pZ5313b/U54Ndn6mK89WrKttsXIqaCT5iDvT/Hlijt6vPU1+vHryGcWoPqWTLziZh7FgSxo0jYdxYYvv375bGSXo8tFVW0lJeQcuqVbR8/jnegwcBiB0wgMSJE0mYOIHE8eOxph2KHVK5t5HS8mperahmT4OT5Dgb543MoaQ4j7F907FYutm1amtUUU/WL4Yt74PPDen91cvd8BLoVXBCk1n3N7u44OEVON1eFv9oMslvlrL3vvuwZWaSe++9JE6cEHDpnv372fObO2l8910SJ08i54/3EpN18vP0tDEKMGYYo5fKduG65ceM6xFD/pJXjnqeq6qKvb+/h6bly4kfNRLHgw8Sm5fXdQFeD2xfrlpLG/8NbQ2Q0EMl2iqYBX2nRrVhah863lxWRusXX9BcVqYm3ALWHj2UcSouIn7ESOILhkVkqCJvYyOtq9fQWlFBS0U5zjVr8bW0AGDLySFx4kQSJ01UrcOswwfC1DW28fqaGpZUVLG+ugGrRXDqkJ6UFDs4c1gW8THdzM3paoHN78BXpVD5NnickOKAwtnKCOUWnVQ0hS21Tcx59BN6JMay+PrJxG/bRM2tP8e1cyepc0rodeut2NK7npJN+nwcLC2l9oEH8TY302vBAjKumtdll6A2RgHGDGO0bP0eNt5yO2c3baNg5cdHHHfX1rJv0VPsf/55sNnoefNNZFx+eXD6MtxONeBh/SuqorlbwJ4BQ89Thqn/qWDrhj7+74CUEvfOnYcZJ0/NbnXQZiNuyGDsI0YSP7yQ+Px84gYNwpIQPsOTvQ0NODd+jXPjBto2bsS5YQNtW7YqN67FQlx+PglFRdiLi0koGo0tN/eI1p/T7eXdDXspLa/io83f4PVJRjhSmV3kYOboXDKT4kz674KE8yBUvgMbX4PN74GnVSXELLhQGaDeEwIyfaJsxz4uXfg5Ix2p/OOHE4h1t/HNI49Q/9TTWOx2elw9n/TLL8ea9N3dnNLno2n5cuoe+gttlZXYx4wh+87fED9kSJd1gzZGAccMY/Tp1nqW/uwuLq18j2FrViNiY5E+Hy2ryjj46qs0vPEG0uMhtWQ2PW+66Yg306DhalGGaePrsGkZuBohLlUNeiiYBQNPj9o+po64a2txrl9P65q1ONetpXXdenyNRip4IYjp3Zu4IWouVGyfvsTmOYjp3Rtbr15B6aSWPh+e2lpcO3bg2r6dtu3b1frWbbirq789z9azJ/EFBcSPGKFadyNHHXU0oc8nWbVjH0vKq3lz3W4a2zzkpMZzYZGDkiIHg7OSA/5/mEpzPWx6Q3kLti0HrwuSsmHY+WpEapA8Bm+s3c2PXyhnRmE2D19SjNUiaNu8mdo/P0TTBx9gSUwktaSE1JkziR9eeFw3sXtvLY3L3mL/Cy/i2rGDmL596HnTTaSce25AXczaGAUYM4zRxt0N/PmnD/DT1S+TcdVVuKuqaCkrw3vgAJaEBFJmzaTHvHnE9jUx+6PbqSrkhtdUBXUehNgkGHSmMk6Dpp98ttpuiPT5cFdV0VZZibOykrZNlbRVVuLauVP11xmImBhiHA5svXphTU/HmpaGNT0NW3o6lqRkRIxNDdW32hAxNhAC2daGr6UVX2sLsrUVX0srnv378NTW4amtxVNXp/L8eDyHvsduJ7ZfP+L69yMufyjxBcOIHzYMW+bxkzpurWtiSbkajl19oJXEWCszhucwp9jBhAE9sHanfqD9O5ULbsNrsHOlGoSQ1geGzVQlb1xIJpAv/Hgbv39jIyVFDu6/aNS317h13Xr2PfssDcuWgduNLSeHhOJi4ocNxZadgyXBrvI81dbh2r6d1ooKnBs3gpTEjxhBxhVXkDLjbJW6IsBoYxRgzDBGNQdaueq2p3joo/8DICYvj4Rx40iaNpWk007DYreHVM9x8bhgx0ew4XWoXAZNewEBvcfD4LNgyAzIKtRRiDvB53LhqanBVVWNu2oX7qoqXLuq8NR/g3f/AbwHVMHr/U6fa01Nxdar12ElJjuL2H79iO3fH1tW1nd6C97X7GLp2hoWl1ezZtcBLAKmDu5JSZGDswqzSIjtJn2IHpcayLP5Hdj8LtQZadAy81Xrp2AmZI805bf88AebeeCdSkqKHdw/d9RhRt974ACN739A08cf01pe3mnOMmG3Yx85koQJ40k5+2ziBg4Mql5tjAKMGcaouc1D4Z1v85uJmcybMSqyOsB9PtizRvUvVS6Dmgq1PyUPBp+p+pj6TYOkEwkZqwHVqvI1NuJtbAKvB+nxID1epMcNPh8iLg5LQgIWux1LfDzCbg+Iq6/N4+WDjbWUVlTz4de1eHySodnJlBQ7mDXaQVZKBP0uj4aUcGAnbP9IGaCty5X72RID/aaol6nBZ0HmYLOVAofmIM0pzuO+uSOP2gr1NjXh2bMHX1sbwmLB1rMn1oyMkM1TgsgxRt3kNSo4JMRaibEK6uJTI8sQgXJZ5Bap8r1fQOMeVck3LYN1i+HLp9V5vQqg/ynKMOWNi5rQRCeDsFiwpqaGJH6elJLy/+5ncXk1b6zdzcFWNz2T47hqSj9mF+VRkBvhuaKkhPotsGOFmny6c6WaXwdqBNyIOcr49D8F4sKvz+umMwbjk5KH3tuMlJI/zR3ZabRya1IS1kGdz2PSHI42RsdACEGqPYYDLW6zpXSd5GwovkIVr0dNst3+kSpfPgOfP6bOS8kDR7FygfQcotwiGQOifqReqNhZ38wSIyzPzvoW4mMszCjMZnZxHlMG9sAWiekZWvbB/u1QvxX2rIXda2D3WnAaqckTe6nWT98p0HfyCc8BMpsFZw7BKgQPvltJg9PNw5cUd7/h8iFEG6PjkGqPoaG1Gxgjf6w2yBuryrSfgadNufGqy6H6S6j+Qo3Ua0dY1AMjOUuNWkrMhPg0sKdBfKpaj089cjvGHhEPFbM52OLmjXW7KS2v4oud+xECJg3owY9PG8Q5I3JIiguTaurzqblubQ1qoIzTWLbuh9Z9atmyT623GNsHqw4ZHQBrHGQVqFGfjmI18q3HwIj9nfzkjMGkJcTwm9e/4oonV7Fw3lhS4rtHOo1QEya/8vAl1R7DgVaX2TKCiy0O+kxUpZ22JqjfDHWVatm4G5pq1XLPOvUQcjcf+3OtsZ0bq7gUFXcvNtlYJqoRgHHJxjJJLdvXYxIi9mF1NNxeH8s31bGkoor3NtTi8voY1CuJ22bkc+FoB7lpARwc43GBqwlczWp+mqtJTQ9wNav1tkZ1P9saDhmYjganrUGdxzH6mIUV7Okq2K89Q4126z0BMvqr6AcZA1Sfj7V7Pawvn9SPFHsMt7y0hosf/4xn5o+nZ3I3m88VArQxOg6p9hjqmtrMlhF64pIO9TkdDa/beGAdVG+/rQcOrTsPHrndsg/2bTcebE1qguKJICyGcUoEW7xqcXW6jFcx/TpbWmLUQ9BiM5bt21a/9RjVavQ/Jgy3ixCAOHz9WwPZybqU4POA9Kqlz4f0uancfZAPNtSwYvNeWlrbSLdbuaMgnVMHZ9A/w4PwbYOaDbDLpSIIeJzKmHicqgXrbVPLw/Ybx9ztBsYobmPp83BCCKsKFNr+whCfqgxJXEqH/R3W7enK+MSldOv8XMdi1mgHqfYYfvSPL7nosU947uoJ9M4InwnVkYA2RschLSGWLXVNZssIT6wxymWXePw5MZ3i9Rhv6cZbe1uTGkHV1nTojf2wY03qwetuNZZOZega9yjD5nYevgwzBJBvlOsB4gAfsNkoJ4I1Vrm6bHHKANti1dIaqwx2UhbEJijDHZNotDo7lI7745INt2r3a4GGku/l9+L5H05k/tNlzHn0E56+anzkDzQJIaYZIyHEDOAvgBVYKKW81ywtx6LbDGAIR6w25bqzpx3/3O+KlEYLwjBOPrdqyfk8xtKtjKHP0/kxn1etSx8g1eepDzbW5aHv6WTd6fayfncLX+xqoLK2BQ9W+vdMYeyAnhT3yyQxPs5olRmtL4vN2LYdMjRWw9DYDONjjYvalkekMKZvOi9dN4krF63ifx7/lMevGMPkgSf5shZlmGKMhBBW4G/AdKAKKBNCvC6l3GCGnmORYo+h0enB65Pda0Z7d0cI5Z6LiYcQzU32eH2s2PINSyqqefurPd+m6S45I4/ZRQ7ttokS8rOTKb1hMlcuWsW8RWU8+P1RXDAq12xZYY9ZLaPxwBYp5TYAIcSLwCwg7IxRml11tjY63aQl6OHNmiPZUNPAkooqXl1dQ11jlKTp1hyT3DQ7L/9oEtc8+wU/eaGC2sY2rp7a32xZYY1ZxsgB7PLbrgICnxgkAKQaxuhAizZGmkPsbXDy2upqSss7pul2cNrQXt0zTbfmO5GWEMtzV0/g5hcr+N3SDdQ2OLl9xtDulzsqQJhljDq7G0eMGRVCXAtcC9CnT59ga+qU9ERljMp27KNfZudRkzXRQYvLwztf7aW0opoVm+vwSRjdO427ZxVy/shcMrpjmm5Nl4iPsfLIpWP47etf8fhH29jb4OS+uaOItem+v46YZYyqgN5+23lATceTpJRPAE+Aik0XGmmHM3FAD0b1TuP2xWtxeyWXTDDHKGrMweeTfLa9ntLyat5at5tmlxdHmp0bvjeI2cUOBnbHNN2agGK1CO6eVUhWShwPvFNJfbOLRy8bEz6TmcMEUwKlCiFsQCVwBlANlAGXSCm/OtrfmBEotZ0Wl4cbny/nw011LDhzMDefMVj3A3RzttQeStNdc9BJUpyNc0dkU1Kcx/h+GdrVojkpXirbxR1L1jEsJ5lF88bRKzn4MS8jJVCqaVG7hRDnAg+hhnYvklLec6zzzTRGoGbM31G6jle+rOIH4/vw+wuH69F13Yz6pjb+vaaG0opq1lYdxGoRnDI4k9nFeUwfloU9VvcDabrOB1/v5cbnK8hMjuXZ+RPoH2T3vzZGAcZsYwQqkvL9b2/ikeVbOasgi7/+oEgHRoxwnG4vH3xdS2l5Fcs31eHxSQpzU75N0x2KN1dN9LF61wHmP10GwKJ54xjdOwhz7Qy0MQow4WCM2nl65XbuWrqBMX3SWXjlWD3KLsKQUvLFzv2UllezdG0NjU4PWSlxXDjawexiB0Oz9ax5TfDZVtfElU+t4ptGF49cVsxp+b2C8j3aGAWYcDJGAEvX1vCzf62hb48Enrt6Atmp+g063NlZ30ypkab7v/tasMdYOWd4NrOLHUwemKndrpqQU9vo5Kqnyvh6TyP3lozgorG9j/9H3xFtjAJMuBkjgE+2fsO1z35JRmIs/7xmAnnpeoZ9uHGwxc3SdTWUllfzpZGeYcrATGYXOZgxPJtEPaJJYzJNbR6u/8eXfLz5G249awg3njYooAOktDEKMOFojAAq/rufKxatIiU+hheumUifHtogmY3L4+M/lXWUllfx/kaVnmFwryRKivO4sCiXnNQQxQfSaE4Ql8fHba+s4dXVNfzo1IHcPiM/YAYpUoyRfi3sIkV90nnhmolc9uTnfP/xT/nnNRMYoOeehBwpJWurDlJaXsXra2rY3+KmR2Isl07sw5ziPApzU/RwfE3YEmuz8P++P5qkeBuP/WcrPim545yhUfWb1cYoAAx3pCqDtPBzLn7iMxZfP1kHxQwR1QdaebWimsXlVWyraybWZmF6QRZzih1MG9yTmEhM062JSiwWwe9mDcciBE98tA2vT/Kr84ZFjUHSxihADMtJ4Z/XTOR/nviUy578nJd/NEkPCw4SjU43b63fQ2l5FZ9t2wfA+H4ZXDttAOeMyPk2nqBGE2kIIbhrZiEWIXhyxXZ8UvKb8wuiwiBpYxRA8rOTeWreOC5d+DlXPLmKf103ST8YA0R7eobS8mre2aDSM/TPTORn04fo9AyaboUQgjsvKMAiBItWbsfnk/x2ZmG3N0jaGAWYoj7pPHH5WOY/Xcb8p8t47urxJMTqy3yybKhpoLS8itfWHJ6eoaQ4j6LeOj2DpnsihODX5w/DaoG/f7yduBgrvzx3mNmygop+SgaBqYMz+cvFo7nxn+UseHE1j102Rscy+w4cPT1DHqcN7anTM2iiAiEEvzx3GPZYG6cO6f7ZYvXQ7iCyaMV27l66gRtPG8jPzx5qtpywpj09w+LyKlZu+QafhKI+aZQUOTh/ZC7pOj2DRnNS6KHdGq6a0o/NtY387cOtFOamcu6IHLMlhRU+n+SzbfUsLq9m2XqVniEv3c6Npw1idpFDD5HXaKIIbYyCiBoZM5yv9zRy2ytrKchJ0Qn6UOkZFpdX85qRniE5zsb5I3MpKXYwTqdn0GiiEu2mCwFV+1s4768ryEu3s+SGKVGZ5bG+qY3X19SwpEN6hpLiPKYXZOno5xpNkNBuOs235KUncP/ckVz73Jf87cMt/HT6ELMlhQSn28v7G2tZUnF4eoZfn1/AzFG59EyOM1uiRqMJE7QxChFnFWZz4ehc/vbhFs4qzKIwN9VsSUGhs/QM2SnxXD2tPyVFeeRnJ5stUaPRhCHaGIWQOy8oZMWWen6xeB2v3TilW/WNdEzPkBBrZUahStM9aWAPnZ5Bo9EcE22MQkh6Yiy/Om8YC/61miUV1cwZk2e2pC5xtPQMC84czNmFOj2DRqM5cfTTIsTMHJXLU5/s4L63v+acEdkRF52hqc3Dp1vrD0vPMCQriV+cM5RZo3V6Bo1Gc3IE7UkohPgtcA1QZ+z6pZTyTePYHcDVgBe4SUr5drB0hBsWi+DX5w1j7mOfMumPH0RUVOk2j5dGpweAzKRYLpvYl5Jih07PoNFoukywX8v/LKV8wH+HEKIAuBgoBHKB94QQQ6SU3iBrCRvG9svg/rkjqdh1wGwp34lYq4Xs1HiGZiczdVAmtggypBqNJrwxw0c0C3hRStkGbBdCbAHGA5+aoMU0LhrbOyj57jUajSYSCfar7Y+FEGuFEIuEEOnGPgewy++cKmOfRqPRaKKULrWMhBDvAdmdHPpf4FHgd4A0lg8C84HOOhc6DQMhhLgWuNbYbBJCbOqKXiAT+KaLnxEqtNbAEyk6QWsNFpGiNZA6+wboc4JKl4yRlPLMEzlPCPF3YKmxWQX4+6fygJqjfP4TwBNd0dhBxxeREBYDtNZgECk6QWsNFpGiNVJ0BpKguemEEP4hqmcD643114GLhRBxQoj+wGBgVbB0aDQajSb8CeYAhvuEEKNRLrgdwHUAUsqvhBAvARsAD3BjNI2k02g0Gs2RBM0YSSkvP8axe4B7gvXdxyBgLr8QoLUGnkjRCVprsIgUrZGiM2BETAoJjUaj0XRfuu2sRaFDAmg0AUfXK02w6FbGSAgxQghxO4AM8yafEKKvEKKP2TpOBCFETiQ8hIQQWWZrOFGEEPkRdP91vQowkVKnQkm3MEZC8QDwT8AmhIgxW9PREELYhRB/Bt4CnhFCXG/sD7t7YYx4fBT4D/CEEKLEbE2dIYRIar+mQojHw1VnO8YE8A3AD4UQmWbrORq6XgWeSKlTZhBWN6oL9ARygDFSynuklG6zBR2Dm4BcKWUB8FtgAYCU0memqKMwE8iRUg5BzRO7WwgRVmlqhRAO4DnUb/lcVCW/z1RRx8cBfA0kAqNN1nIsdL0KPGFfp8wiYo2REMI/ZWgqMFhK6RJCnC2EuFUIcbZZ2joihEgylhbUNV9rHMoF3hBCDDVLW2cIIazGqhcj6rqU8jVgGXCdECLNLG2d4AQWSilvllLuAV4CVgshRpqs6zCMVka7W+Yg8Apq2sNpQoge5ik7Er/WRAphXK9A/VYNvYIwrVdCiAS/TUn41ylTiDhjJIQYZMxTekoIcZ4QIgNoAlYKIe4GbkM9oB4SQlzZbghM1vqMEOI8wIp6Ix4ghPgY+BPQiIpcPt1MH7LRh/GYEMLuN+8rFtgnhMg1tu8HilER103pzPbXCSClrAeW+53SGxgAdDV0VJfpcE2lX39LMWAHfgX0An4ghLhQCBEfJlrbWxMW4KMwrFeH/VYNvTVAn3CqV0KIwUKIZ1HuuJnGb9YFHAinOhU2SCkjpqAqx1Lg16jo348ADxjH/g/1UBplbM9FvX0mh4nWx4D7jWOpqDf4bGP7RuBNE6/rVFQUDB/wv377c4z/YQYQa+z7LfBKuOjEmJ7gd04+UGrWtTyOVouxHAjcbKx/gGqB/iKctBr704G/Ah+GUb06mlZLONUr4HJUv+D1qJicTwJzgIxwqlPhVCKtZZQDHAD+IFUT9x5gmhDiFGAh4AbGAEgpXwF6AMlH+axQa/0dMFUIMRPVktsLtDffFwIJJrpr6lEVZghwlRCiH4CUcjfwNlDCob6NF4H9JnVmd9TZVxq12Y8iYCuAEOIaE911R1xTeajFMQk1eGE9sAd4AdjVwZ0TSo52//ejHpxOwqdedaoV5f5KAqoJj3q1F7hdSvmolHIRKuhptpRyH/Au4VOnwoaIMkZSympgLDDdb/tR4NdSyjWoWcsXCCHuMJrr64F9Yab1J1K5wXoD1woh5qEe+GWovgQztG4Etkgpt6Aqyl1+hx9Bpfz4hRDiFlTF2SZN6MzuROfdcMSIqTOAHkKIxcAlqAdpyDnONX0Rdb/nSykvAV5F/R5McdEcR+u7wLPA+WFSrzrVaryU7EHFurzG7HolpXwHeEcI0R7lxonqywJ4mDCpU2GF2U2zzgpg72Sf1VjOA1b47U8D/gVMNrYLgVuAi8NU68uGxnxUE/4NM7X6HWuPxpEMbAHO8DsWD5wK/AW4LFx1GvvfAr4C5obzNe1wniXctQIjzK5XJ6IVGAncEKp6dSydHc57Hijx244HTglVnYqEYrqATm7avcC/gSJj29LhuBXlZ1/gt+8ZYHiEaH02HLW26zWWC4ClxvoPgIQI0SmA70WI1nh9/4Oi9YSMQwh1WlBuwyVAlvEbPRuIC+U1jYQSVm46IcQPUTdqM8qniuwwT0AqF9fPgZuNEUiXAcNRHZqRoLUwHLUa+IxjDwFThBAHgdONzwi6C6mLOs9EVfDlwdYZAK2nE0IXeaTc/wBpFeH0WzX2pRrlPOBzYFqodEYUZltDIMNvPR2VbO8U4HHgXGO/8DunfUTSLJS/+CNgqtbaNa1+56aihpuuBaZonVqr1tplnRegjOdLwLRQXNNILOZ9sfohLQQ+Qfl4Czscuxk1rDTF/yZ3drO11q5r9TvHAozUOrVWrTVgOhOB60JxTSO5mOmmuwPVp3I16i3j2/wdUsqDwKco/+pcY5/0X4aYbq/V7xyflHItwSdSdGqtWutJ6xRCWKSUzVLKx0OgM6IJuTEyoqK0D3d8Xkq5Uapkey4hhP+Q0vWoyXYjhBA/F0JcH2ofq9YavTq1Vq01EDpl+MXGC1tC2YnafnOklNKDGnM/xu+UG4AbhIpojJSyBfW2cTFwLWocfkhaGlpr9OrUWrXWSNHZ7TiWD6+rBTWk8WL8hltyqFO/GBUw0P/Y34Hb5CFf7Dbg1mBq1Fq1Tq1Va40Und25BK1lJNQM6PWokBeJHY5ZpZTlwPuoGf7tbEIFPEQqX+xQKeUDwdKotWqdWqvWGik6uz3BsHCo2FUvAQVzIfJCAAACLklEQVTHOKc/EAd8DPwS9VayFr9ZyqEoWmv06tRatdZI0RkNJZA31ea3ng28bqwPQI1CKTa2s1BRCD4DYlBvI/OBd4A5Ifmntdao1am1aq2RojPaSkBuLPAAKsbSmca+IahIxBcYN/JPqGbwtcAEVLDQ0P+zWmvU6tRatdZI0Rmtpas3V6D8qP8ALgXeA643jr2E8rNON7anAtuBGL+/t4bsH9Vao1an1qq1RorOaC7tY+hPlmRU0/VsKWWjEOIbYKYQYgYqqdxS1GQxpJQrhBBfAUOBdcY+b+cfGxS01ujVqbVqrZGiM2rp0mg6KWUDsAOVKgFgJfAFKhbbVmARMF2oJGdPGt+3tSvfebJordGrE7TWYBEpWiNFZzQTiKHdS4DRQogcKWUTsAaVcXUg8GdUs3gksFVKea5UE8TMQmuNXp2gtQaLSNEaKTqjk676+VDpte8D7vDbtwK/KLqEib9Va41enVqr1hopOqO1dLllJKXcjUqbfI4Q4iKhctI7UW8c7eeEhb9Vaw08kaITtNZgESlaI0VntNKe6qDrHyTEOcBFwGTgYSnlwwH54CCgtQaeSNEJWmuwiBStkaIz2giYMQIQQsSg4gt6AvahQUJrDTyRohO01mARKVojRWc0EVBjpNFoNBrNyWBmcj2NRqPRaABtjDQajUYTBmhjpNFoNBrT0cZIo9FoNKajjZFGo9FoTEcbI41Go9GYjjZGGo1GozEdbYw0Go1GYzr/H80Y7QStJQtSAAAAAElFTkSuQmCC\n", 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tracker_thetaaoisurface_azimuthsurface_tilt
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tracker_thetaaoisurface_azimuthsurface_tilt
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" - ], - "text/plain": [ - " tracker_theta aoi surface_azimuth surface_tilt\n", - "0 -60.0 0.0 90.0 60.0" - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "apparent_zenith = pd.Series([60])\n", - "apparent_azimuth = pd.Series([90])\n", - "tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth,\n", - " axis_tilt=0, axis_azimuth=180, max_angle=90,\n", - " backtrack=True, gcr=2.0/7.0)\n", - "tracker_data" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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tracker_thetaaoisurface_azimuthsurface_tilt
060.00.090.060.0
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" - ], - "text/plain": [ - " tracker_theta aoi surface_azimuth surface_tilt\n", - "0 60.0 0.0 90.0 60.0" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "apparent_zenith = pd.Series([60])\n", - "apparent_azimuth = pd.Series([90])\n", - "tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth,\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=True, gcr=2.0/7.0)\n", - "tracker_data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Test max" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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tracker_thetaaoisurface_azimuthsurface_tilt
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tracker_thetaaoisurface_azimuthsurface_tilt
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" - ], - "text/plain": [ - " tracker_theta aoi surface_azimuth surface_tilt\n", - "0 0.0 10.0 90.0 0.0" - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "apparent_zenith = pd.Series([10])\n", - "apparent_azimuth = pd.Series([180])\n", - "tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth,\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=True, gcr=2.0/7.0)\n", - "tracker_data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This is supposed to fail..." - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [ - { - "ename": "IndexError", - "evalue": "boolean index did not match indexed array along dimension 0; dimension is 2 but corresponding boolean dimension is 1", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 5\u001b[0m tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth,\n\u001b[0;32m 6\u001b[0m \u001b[0maxis_tilt\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis_azimuth\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmax_angle\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m90\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m backtrack=True, gcr=2.0/7.0)\n\u001b[0m\u001b[0;32m 8\u001b[0m \u001b[0mtracker_data\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\users\\kanderso\\software\\anaconda3\\envs\\pvlib-dev\\lib\\site-packages\\pvlib\\tracking.py\u001b[0m in \u001b[0;36msingleaxis\u001b[1;34m(apparent_zenith, apparent_azimuth, axis_tilt, axis_azimuth, max_angle, backtrack, gcr)\u001b[0m\n\u001b[0;32m 424\u001b[0m \u001b[1;31m# filter for sun above panel horizon\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 425\u001b[0m \u001b[0mzen_gt_90\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mapparent_zenith\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m90\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 426\u001b[1;33m \u001b[0mwid\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mzen_gt_90\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnan\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 427\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 428\u001b[0m \u001b[1;31m# Account for backtracking; modified from [1] to account for rotation\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mIndexError\u001b[0m: boolean index did not match indexed array along dimension 0; dimension is 2 but corresponding boolean dimension is 1" - ] - } - ], - "source": [ - "# NBVAL_RAISES_EXCEPTION\n", - "\n", - "apparent_zenith = pd.Series([10])\n", - "apparent_azimuth = pd.Series([180,90])\n", - "tracker_data = pvlib.tracking.singleaxis(apparent_zenith, apparent_azimuth,\n", - " axis_tilt=0, axis_azimuth=0, max_angle=90,\n", - " backtrack=True, gcr=2.0/7.0)\n", - "tracker_data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} From 6866c401f456dfee04852bd977341e40179b09d6 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 19:11:45 +0200 Subject: [PATCH 11/37] Formatted with black --- docs/tutorials/irradiance.py | 743 ++++++++++++++++++++++------------- 1 file changed, 465 insertions(+), 278 deletions(-) diff --git a/docs/tutorials/irradiance.py b/docs/tutorials/irradiance.py index 2f5041f4d5..ae02626dd7 100644 --- a/docs/tutorials/irradiance.py +++ b/docs/tutorials/irradiance.py @@ -14,18 +14,20 @@ # July 2015, March 2016, July 2016, February 2017, August 2018. import matplotlib.pyplot as plt - + # built in python modules import datetime +from timeit import timeit # python add-ons import numpy as np import pandas as pd import pvlib +from pvlib import tools # %% -## Table of contents +# Table of contents # TODO # 1. [Extraterrestrial radiation](#Extraterrestrial-radiation) # 2. [Clear sky models](#Clear-sky-models) @@ -51,19 +53,19 @@ # appropriate output type. # DatetimeIndex in yields a TimeSeries out -times = pd.date_range('2014-01-01', '2015-01-01', freq='1h') +times = pd.date_range("2014-01-01", "2015-01-01", freq="1h") -spencer = pvlib.irradiance.get_extra_radiation(times, method='spencer') -asce = pvlib.irradiance.get_extra_radiation(times, method='asce') -ephem = pvlib.irradiance.get_extra_radiation(times, method='pyephem') -nrel = pvlib.irradiance.get_extra_radiation(times, method='nrel') +spencer = pvlib.irradiance.get_extra_radiation(times, method="spencer") +asce = pvlib.irradiance.get_extra_radiation(times, method="asce") +ephem = pvlib.irradiance.get_extra_radiation(times, method="pyephem") +nrel = pvlib.irradiance.get_extra_radiation(times, method="nrel") -spencer.plot(label='spencer') -asce.plot(label='asce') -ephem.plot(label='pyephem') -nrel.plot(label='nrel') +spencer.plot(label="spencer") +asce.plot(label="asce") +ephem.plot(label="pyephem") +nrel.plot(label="nrel") plt.legend() -plt.ylabel('Extraterrestrial radiation (W/m^2)') +plt.ylabel("Extraterrestrial radiation (W/m^2)") # %% # The ``pyephem`` and ``nrel`` methods are the most accurate. @@ -72,7 +74,7 @@ et_diff = spencer - ephem et_diff.plot() -plt.ylabel('spencer-ephem (W/m**2)') +plt.ylabel("spencer-ephem (W/m**2)") # %% # The intraday squiggles are due to the fact that the asce and spencer methods @@ -83,73 +85,74 @@ et_diff = nrel - ephem et_diff.plot() -plt.ylabel('nrel-ephem (W/m**2)') +plt.ylabel("nrel-ephem (W/m**2)") # %% # You can also control the solar constant. # Recent literature suggests that the solar constant is 1361 $W/m^2$ rather # than the commonly accepted 1367 $W/m^2$. -spencer_1361 = pvlib.irradiance.get_extra_radiation(times, method='spencer', solar_constant=1361) +spencer_1361 = pvlib.irradiance.get_extra_radiation( + times, method="spencer", solar_constant=1361 +) -spencer.plot(label='default 1366.7') -spencer_1361.plot(label='1361') +spencer.plot(label="default 1366.7") +spencer_1361.plot(label="1361") plt.legend() -plt.title('Impact of solar constant') -plt.ylabel('ET Irradiance (W/m^2)') +plt.title("Impact of solar constant") +plt.ylabel("ET Irradiance (W/m^2)") # %% # Compare the time it takes to do the calculations. -times = pd.date_range(start='2015', end='2016', freq='1min') +times = pd.date_range(start="2015", end="2016", freq="1min") # NBVAL_SKIP TODO: USE TIMEIT.TIMEIT -%timeit spencer = pvlib.irradiance.get_extra_radiation(times, method='spencer') -%timeit asce = pvlib.irradiance.get_extra_radiation(times, method='asce') -%timeit ephem = pvlib.irradiance.get_extra_radiation(times, method='pyephem') -%timeit nrel = pvlib.irradiance.get_extra_radiation(times, method='nrel') -%timeit nrel = pvlib.irradiance.get_extra_radiation(times, method='nrel', - how='numba') +timeit(pvlib.irradiance.get_extra_radiation(times, method="spencer")) +timeit(pvlib.irradiance.get_extra_radiation(times, method="asce")) +timeit(pvlib.irradiance.get_extra_radiation(times, method="pyephem")) +timeit(pvlib.irradiance.get_extra_radiation(times, method="nrel")) +timeit(pvlib.irradiance.get_extra_radiation(times, method="nrel", how="numba")) # %% # In addition to DatetimeIndex input, the methods also work for various scalar # datetime-like formats as well as scalar and array day of year input. -methods = ['spencer', 'asce', 'pyephem', 'nrel'] +methods = ["spencer", "asce", "pyephem", "nrel"] # pandas timestamp input -times = pd.Timestamp('20161026') +times = pd.Timestamp("20161026") for method in methods: dni_extra = pvlib.irradiance.get_extra_radiation(times, method=method) assert isinstance(dni_extra, float) print(times, method, dni_extra) - - + + # date input times = datetime.date(2016, 10, 26) for method in methods: dni_extra = pvlib.irradiance.get_extra_radiation(times, method=method) assert isinstance(dni_extra, float) print(times, method, dni_extra) - - + + # integer doy input times = 300 for method in methods: dni_extra = pvlib.irradiance.get_extra_radiation(times, method=method) assert isinstance(dni_extra, float) print(times, method, dni_extra) - - + + # array doy input times = np.arange(1, 366) for method in methods: dni_extra = pvlib.irradiance.get_extra_radiation(times, method=method) assert isinstance(dni_extra, np.ndarray) plt.plot(times, dni_extra, label=method) - + plt.legend() -plt.ylabel('Extraterrestrial radiation (W/m^2)') +plt.ylabel("Extraterrestrial radiation (W/m^2)") # %% # Clear sky models @@ -160,13 +163,15 @@ # # Here we only generate data for the functions below. -tus = pvlib.location.Location(32.2, -111, 'US/Arizona', 700, 'Tucson') -times = pd.date_range(start='2016-01-01', end='2016-01-02', freq='1min', tz=tus.tz) +tus = pvlib.location.Location(32.2, -111, "US/Arizona", 700, "Tucson") +times = pd.date_range( + start="2016-01-01", end="2016-01-02", freq="1min", tz=tus.tz +) ephem_data = tus.get_solarposition(times) irrad_data = tus.get_clearsky(times) irrad_data.plot() -plt.ylabel('Irradiance $W/m^2$') -plt.title('Ineichen, climatological turbidity'); +plt.ylabel("Irradiance $W/m^2$") +plt.title("Ineichen, climatological turbidity") # Diffuse ground # -------------- TODO: LINK FUNCS @@ -175,40 +180,48 @@ # # First, you can specify the albedo of ground. -ground_irrad = pvlib.irradiance.get_ground_diffuse(40, irrad_data['ghi'], albedo=.25) +ground_irrad = pvlib.irradiance.get_ground_diffuse( + 40, irrad_data["ghi"], albedo=0.25 +) ground_irrad.plot() -plt.ylabel('Diffuse ground irradiance (W/m^2)') +plt.ylabel("Diffuse ground irradiance (W/m^2)") # %% # Alternatively, you can specify the surface type with a string such as # ``'concrete'`` or ``'snow'``. # All of the available ``surface_type`` options are show in the plot below. -for surface, albedo in sorted(pvlib.irradiance.SURFACE_ALBEDOS.items(), key=lambda x: x[1], reverse=True): - ground_irrad = pvlib.irradiance.get_ground_diffuse(40, irrad_data['ghi'], surface_type=surface) - ground_irrad.plot(label='{}: {}'.format(surface, albedo)) +for surface, albedo in sorted( + pvlib.irradiance.SURFACE_ALBEDOS.items(), key=lambda x: x[1], reverse=True +): + ground_irrad = pvlib.irradiance.get_ground_diffuse( + 40, irrad_data["ghi"], surface_type=surface + ) + ground_irrad.plot(label="{}: {}".format(surface, albedo)) plt.legend() -plt.ylabel('Diffuse ground irradiance (W/m^2)') -plt.title('Surface types') +plt.ylabel("Diffuse ground irradiance (W/m^2)") +plt.title("Surface types") # %% # Next, vary the tilt angle. We expect to see maximum ground diffuse # irradiance at a 90 deg tilt, and no ground diffuse irradiance at 0 tilt. for surf_tilt in np.linspace(0, 90, 5): - ground_irrad = pvlib.irradiance.get_ground_diffuse(surf_tilt, irrad_data['ghi']) + ground_irrad = pvlib.irradiance.get_ground_diffuse( + surf_tilt, irrad_data["ghi"] + ) ground_irrad.plot(label=surf_tilt) plt.legend() -plt.ylabel('Diffuse ground irradiance (W/m^2)') -plt.title('Ground diffuse as a function of tilt') +plt.ylabel("Diffuse ground irradiance (W/m^2)") +plt.title("Ground diffuse as a function of tilt") # %% # Diffuse sky # ----------- # ``pvlib`` has many different ways to calculate the diffuse sky component -# of GHI. +# of GHI. # # The API for some of these functions needs some work. TODO HYPERLINKS # 1. [Isotropic](#Isotropic-model) @@ -221,21 +234,21 @@ # ^^^^^^^^^^^^^^^ # The ``isotropic`` model is the simplest model. -sky_diffuse = pvlib.irradiance.isotropic(40, irrad_data['dhi']) -sky_diffuse.plot(label='isotropic diffuse') -irrad_data['dhi'].plot() -irrad_data['ghi'].plot() +sky_diffuse = pvlib.irradiance.isotropic(40, irrad_data["dhi"]) +sky_diffuse.plot(label="isotropic diffuse") +irrad_data["dhi"].plot() +irrad_data["ghi"].plot() plt.legend() -plt.ylabel('Irradiance (W/m^2)') +plt.ylabel("Irradiance (W/m^2)") # %% # Compare just the POA diffuse to the input DHI. -sky_diffuse = pvlib.irradiance.isotropic(40, irrad_data['dhi']) -sky_diffuse.plot(label='isotropic diffuse') -irrad_data['dhi'].plot() +sky_diffuse = pvlib.irradiance.isotropic(40, irrad_data["dhi"]) +sky_diffuse.plot(label="isotropic diffuse") +irrad_data["dhi"].plot() plt.legend() -plt.ylabel('Irradiance (W/m^2)') +plt.ylabel("Irradiance (W/m^2)") # %% # Klucher model @@ -244,45 +257,63 @@ surf_tilt = 40 surf_az = 180 -sky_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -sky_diffuse.plot(label='klucher diffuse') -irrad_data['dhi'].plot() -#irrad_data['ghi'].plot() +sky_diffuse = pvlib.irradiance.klucher( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["ghi"], + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +sky_diffuse.plot(label="klucher diffuse") +irrad_data["dhi"].plot() +# irrad_data['ghi'].plot() plt.legend() -plt.ylabel('Irradiance (W/m^2)') +plt.ylabel("Irradiance (W/m^2)") # %% # Compare Klucher against isotropic surf_tilt = 40 -surf_az = 180 # south facing +surf_az = 180 # south facing -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data["dhi"]) +iso_diffuse.plot(label="isotropic diffuse") -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') +klucher_diffuse = pvlib.irradiance.klucher( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["ghi"], + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +klucher_diffuse.plot(label="klucher diffuse") -irrad_data['dhi'].plot() +irrad_data["dhi"].plot() plt.legend() -plt.ylabel('Irradiance (W/m^2)') +plt.ylabel("Irradiance (W/m^2)") # %% # Klucher as a function of surface azimuth. surf_tilt = 40 -irrad_data['dhi'].plot() +irrad_data["dhi"].plot() -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic') +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data["dhi"]) +iso_diffuse.plot(label="isotropic") for surf_az in np.linspace(0, 270, 4): - klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) - klucher_diffuse.plot(label='klucher: {}'.format(surf_az)) + klucher_diffuse = pvlib.irradiance.klucher( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["ghi"], + ephem_data["apparent_zenith"], + ephem_data["azimuth"], + ) + klucher_diffuse.plot(label="klucher: {}".format(surf_az)) plt.legend() @@ -291,15 +322,21 @@ surf_tilt = 0 -irrad_data['dhi'].plot() +irrad_data["dhi"].plot() -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic') +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data["dhi"]) +iso_diffuse.plot(label="isotropic") for surf_az in np.linspace(0, 270, 4): - klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) - klucher_diffuse.plot(label='klucher: {}'.format(surf_az)) + klucher_diffuse = pvlib.irradiance.klucher( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["ghi"], + ephem_data["apparent_zenith"], + ephem_data["azimuth"], + ) + klucher_diffuse.plot(label="klucher: {}".format(surf_az)) plt.legend() @@ -309,23 +346,35 @@ # South facing at latitude. surf_tilt = 32 -surf_az = 180 # south facing +surf_az = 180 # south facing -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data["dhi"]) +iso_diffuse.plot(label="isotropic diffuse") -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') +klucher_diffuse = pvlib.irradiance.klucher( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["ghi"], + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +klucher_diffuse.plot(label="klucher diffuse") dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear) -reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -reindl_diffuse.plot(label='reindl diffuse') - -irrad_data['dhi'].plot() +reindl_diffuse = pvlib.irradiance.reindl( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["dni"], + irrad_data["ghi"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +reindl_diffuse.plot(label="reindl diffuse") + +irrad_data["dhi"].plot() plt.legend() @@ -333,23 +382,35 @@ # East facing surf_tilt = 32 -surf_az = 90 +surf_az = 90 -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data["dhi"]) +iso_diffuse.plot(label="isotropic diffuse") -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') +klucher_diffuse = pvlib.irradiance.klucher( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["ghi"], + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +klucher_diffuse.plot(label="klucher diffuse") dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear) -reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -reindl_diffuse.plot(label='reindl diffuse') - -irrad_data['dhi'].plot() +reindl_diffuse = pvlib.irradiance.reindl( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["dni"], + irrad_data["ghi"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +reindl_diffuse.plot(label="reindl diffuse") + +irrad_data["dhi"].plot() plt.legend() @@ -359,29 +420,47 @@ # Hay-Davies facing south. surf_tilt = 32 -surf_az = 180 +surf_az = 180 -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data["dhi"]) +iso_diffuse.plot(label="isotropic diffuse") -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') +klucher_diffuse = pvlib.irradiance.klucher( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["ghi"], + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +klucher_diffuse.plot(label="klucher diffuse") dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear) -haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -haydavies_diffuse.plot(label='haydavies diffuse') - -reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -reindl_diffuse.plot(label='reindl diffuse') - -irrad_data['dhi'].plot() +haydavies_diffuse = pvlib.irradiance.haydavies( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["dni"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +haydavies_diffuse.plot(label="haydavies diffuse") + +reindl_diffuse = pvlib.irradiance.reindl( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["dni"], + irrad_data["ghi"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +reindl_diffuse.plot(label="reindl diffuse") + +irrad_data["dhi"].plot() plt.legend() @@ -389,29 +468,47 @@ # Facing east. surf_tilt = 32 -surf_az = 90 +surf_az = 90 -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data["dhi"]) +iso_diffuse.plot(label="isotropic diffuse") -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') +klucher_diffuse = pvlib.irradiance.klucher( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["ghi"], + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +klucher_diffuse.plot(label="klucher diffuse") dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear) -haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -haydavies_diffuse.plot(label='haydavies diffuse') - -reindl_diffuse = pvlib.irradiance.reindl(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], irrad_data['ghi'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -reindl_diffuse.plot(label='reindl diffuse') - -irrad_data['dhi'].plot() +haydavies_diffuse = pvlib.irradiance.haydavies( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["dni"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +haydavies_diffuse.plot(label="haydavies diffuse") + +reindl_diffuse = pvlib.irradiance.reindl( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["dni"], + irrad_data["ghi"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +reindl_diffuse.plot(label="reindl diffuse") + +irrad_data["dhi"].plot() plt.legend() @@ -423,27 +520,40 @@ # ^^^^^^^^^^ surf_tilt = 32 -surf_az = 90 +surf_az = 90 -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data["dhi"]) +iso_diffuse.plot(label="isotropic diffuse") -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') +klucher_diffuse = pvlib.irradiance.klucher( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["ghi"], + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +klucher_diffuse.plot(label="klucher diffuse") dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear) -haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -haydavies_diffuse.plot(label='haydavies diffuse') +haydavies_diffuse = pvlib.irradiance.haydavies( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["dni"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +haydavies_diffuse.plot(label="haydavies diffuse") -king_diffuse = pvlib.irradiance.king(surf_tilt,irrad_data['dhi'], irrad_data['ghi'], ephem_data['azimuth']) -king_diffuse.plot(label='king diffuse') +king_diffuse = pvlib.irradiance.king( + surf_tilt, irrad_data["dhi"], irrad_data["ghi"], ephem_data["azimuth"] +) +king_diffuse.plot(label="king diffuse") -irrad_data['dhi'].plot() +irrad_data["dhi"].plot() plt.legend() @@ -452,38 +562,38 @@ # ^^^^^^^^^^^ # This section walks through the Perez algorithm. -sun_zen = ephem_data['apparent_zenith'] -sun_az = ephem_data['azimuth'] -DNI = irrad_data['dni'] -DHI = irrad_data['dhi'] +sun_zen = ephem_data["apparent_zenith"] +sun_az = ephem_data["azimuth"] +DNI = irrad_data["dni"] +DHI = irrad_data["dhi"] DNI_ET = pvlib.irradiance.get_extra_radiation(times.dayofyear) AM = pvlib.atmosphere.get_relative_airmass(sun_zen) surf_tilt = 32 surf_az = 180 -kappa = 1.041 #for sun_zen in radians -z = np.radians(sun_zen) # convert to radians +kappa = 1.041 # for sun_zen in radians +z = np.radians(sun_zen) # convert to radians -#Dhfilter = DHI > 0 +# Dhfilter = DHI > 0 # epsilon is the sky's clearness -eps = ( (DHI + DNI)/DHI + kappa*(z**3) ) / ( 1 + kappa*(z**3) ) +eps = ((DHI + DNI) / DHI + kappa * (z**3)) / (1 + kappa * (z**3)) eps.plot() # %% ebin = eps.copy() -ebin[(eps<1.065)] = 1 -ebin[(eps>=1.065) & (eps<1.23)] = 2 -ebin[(eps>=1.23) & (eps<1.5)] = 3 -ebin[(eps>=1.5) & (eps<1.95)] = 4 -ebin[(eps>=1.95) & (eps<2.8)] = 5 -ebin[(eps>=2.8) & (eps<4.5)] = 6 -ebin[(eps>=4.5) & (eps<6.2)] = 7 -ebin[eps>=6.2] = 8 +ebin[(eps < 1.065)] = 1 +ebin[(eps >= 1.065) & (eps < 1.23)] = 2 +ebin[(eps >= 1.23) & (eps < 1.5)] = 3 +ebin[(eps >= 1.5) & (eps < 1.95)] = 4 +ebin[(eps >= 1.95) & (eps < 2.8)] = 5 +ebin[(eps >= 2.8) & (eps < 4.5)] = 6 +ebin[(eps >= 4.5) & (eps < 6.2)] = 7 +ebin[eps >= 6.2] = 8 ebin.plot() -plt.ylim(0,9) +plt.ylim(0, 9) # %%ebin = ebin - 1 ebin = ebin.dropna().astype(int) @@ -494,38 +604,52 @@ delta.plot() # %% -modelt = 'allsitescomposite1990' +modelt = "allsitescomposite1990" F1c, F2c = pvlib.irradiance._get_perez_coefficients(modelt) -F1 = F1c[ebin,0] + F1c[ebin,1]*delta[ebin.index] + F1c[ebin,2]*z[ebin.index] -F1[F1<0]=0; -F1=F1.astype(float) - -#F2= F2c[ebin,0] + F2c[ebin,1]*delta[ebinfilter] + F2c[ebin,2]*z[ebinfilter] -F2= F2c[ebin,0] + F2c[ebin,1]*delta[ebin.index] + F2c[ebin,2]*z[ebin.index] -F2[F2<0]=0 -F2=F2.astype(float) - -F1.plot(label='F1') -F2.plot(label='F2') +F1 = ( + F1c[ebin, 0] + + F1c[ebin, 1] * delta[ebin.index] + + F1c[ebin, 2] * z[ebin.index] +) +F1[F1 < 0] = 0 +F1 = F1.astype(float) + +# F2= F2c[ebin,0] + F2c[ebin,1]*delta[ebinfilter] + F2c[ebin,2]*z[ebinfilter] +F2 = ( + F2c[ebin, 0] + + F2c[ebin, 1] * delta[ebin.index] + + F2c[ebin, 2] * z[ebin.index] +) +F2[F2 < 0] = 0 +F2 = F2.astype(float) + +F1.plot(label="F1") +F2.plot(label="F2") plt.legend() # %% -from pvlib import tools - -A = tools.cosd(surf_tilt)*tools.cosd(sun_zen) + tools.sind(surf_tilt)*tools.sind(sun_zen)*tools.cosd(sun_az-surf_az) #removed +180 from azimuth modifier: Rob Andrews October 19th 2012 -#A[A < 0] = 0 +A = tools.cosd(surf_tilt) * tools.cosd(sun_zen) + tools.sind( + surf_tilt +) * tools.sind(sun_zen) * tools.cosd( + sun_az - surf_az +) # removed +180 from azimuth modifier: Rob Andrews October 19th 2012 +# A[A < 0] = 0 B = tools.cosd(sun_zen) -#B[B < pvl_tools.cosd(85)] = pvl_tools.cosd(85) +# B[B < pvl_tools.cosd(85)] = pvl_tools.cosd(85) -A.plot(label='A') -B.plot(label='B') +A.plot(label="A") +B.plot(label="B") plt.legend() # %% -sky_diffuse = DHI*( 0.5* (1-F1)*(1+tools.cosd(surf_tilt))+F1 * A[ebin.index]/ B[ebin.index] + F2*tools.sind(surf_tilt)) +sky_diffuse = DHI * ( + 0.5 * (1 - F1) * (1 + tools.cosd(surf_tilt)) + + F1 * A[ebin.index] / B[ebin.index] + + F2 * tools.sind(surf_tilt) +) sky_diffuse[sky_diffuse < 0] = 0 sky_diffuse[AM.isnull()] = 0 @@ -534,91 +658,139 @@ # %% # Compare the Perez model to others. -sun_zen = ephem_data['apparent_zenith'] -sun_az = ephem_data['azimuth'] -DNI = irrad_data['dni'] -DHI = irrad_data['dhi'] +sun_zen = ephem_data["apparent_zenith"] +sun_az = ephem_data["azimuth"] +DNI = irrad_data["dni"] +DHI = irrad_data["dhi"] DNI_ET = pvlib.irradiance.get_extra_radiation(times.dayofyear) AM = pvlib.atmosphere.get_relative_airmass(sun_zen) surf_tilt = 32 surf_az = 180 -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data["dhi"]) +iso_diffuse.plot(label="isotropic diffuse") -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') +klucher_diffuse = pvlib.irradiance.klucher( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["ghi"], + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +klucher_diffuse.plot(label="klucher diffuse") dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear) -haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -haydavies_diffuse.plot(label='haydavies diffuse') - -perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth'], - AM) -perez_diffuse.plot(label='perez diffuse') - -irrad_data['dhi'].plot() +haydavies_diffuse = pvlib.irradiance.haydavies( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["dni"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +haydavies_diffuse.plot(label="haydavies diffuse") + +perez_diffuse = pvlib.irradiance.perez( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["dni"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], + AM, +) +perez_diffuse.plot(label="perez diffuse") + +irrad_data["dhi"].plot() plt.legend() # %% -sun_zen = ephem_data['apparent_zenith'] -sun_az = ephem_data['azimuth'] -DNI = irrad_data['dni'] -DHI = irrad_data['dhi'] +sun_zen = ephem_data["apparent_zenith"] +sun_az = ephem_data["azimuth"] +DNI = irrad_data["dni"] +DHI = irrad_data["dhi"] DNI_ET = pvlib.irradiance.get_extra_radiation(times.dayofyear) AM = pvlib.atmosphere.get_relative_airmass(sun_zen) surf_tilt = 32 surf_az = 90 -iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data['dhi']) -iso_diffuse.plot(label='isotropic diffuse') +iso_diffuse = pvlib.irradiance.isotropic(surf_tilt, irrad_data["dhi"]) +iso_diffuse.plot(label="isotropic diffuse") -klucher_diffuse = pvlib.irradiance.klucher(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['ghi'], - ephem_data['apparent_zenith'], ephem_data['azimuth']) -klucher_diffuse.plot(label='klucher diffuse') +klucher_diffuse = pvlib.irradiance.klucher( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["ghi"], + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +klucher_diffuse.plot(label="klucher diffuse") dni_et = pvlib.irradiance.get_extra_radiation(times.dayofyear) -haydavies_diffuse = pvlib.irradiance.haydavies(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth']) -haydavies_diffuse.plot(label='haydavies diffuse') - -perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth'], - AM) -perez_diffuse.plot(label='perez diffuse') - -irrad_data['dhi'].plot() +haydavies_diffuse = pvlib.irradiance.haydavies( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["dni"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +haydavies_diffuse.plot(label="haydavies diffuse") + +perez_diffuse = pvlib.irradiance.perez( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["dni"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], + AM, +) +perez_diffuse.plot(label="perez diffuse") + +irrad_data["dhi"].plot() plt.legend() # %% # Examine the impact of the coeffecient selection. -perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth'], - AM, model='allsitescomposite1990') -perez_diffuse.plot(label='allsitescomposite1990') - -perez_diffuse = pvlib.irradiance.perez(surf_tilt, surf_az, - irrad_data['dhi'], irrad_data['dni'], dni_et, - ephem_data['apparent_zenith'], ephem_data['azimuth'], - AM, model='phoenix1988') -perez_diffuse.plot(label='phoenix1988') +perez_diffuse = pvlib.irradiance.perez( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["dni"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], + AM, + model="allsitescomposite1990", +) +perez_diffuse.plot(label="allsitescomposite1990") + +perez_diffuse = pvlib.irradiance.perez( + surf_tilt, + surf_az, + irrad_data["dhi"], + irrad_data["dni"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], + AM, + model="phoenix1988", +) +perez_diffuse.plot(label="phoenix1988") plt.legend() @@ -630,30 +802,33 @@ # # First, the angle of incidence. -proj = pvlib.irradiance.aoi(32, 180, ephem_data['apparent_zenith'], ephem_data['azimuth']) +proj = pvlib.irradiance.aoi( + 32, 180, ephem_data["apparent_zenith"], ephem_data["azimuth"] +) proj.plot() -#plt.ylim(-1.1,1.1) +# plt.ylim(-1.1,1.1) plt.legend() # %% # AOI projection: the dot production of the surface normal and the vector to # the sun. -proj = pvlib.irradiance.aoi_projection(32, 180, ephem_data['apparent_zenith'], - ephem_data['azimuth']) +proj = pvlib.irradiance.aoi_projection( + 32, 180, ephem_data["apparent_zenith"], ephem_data["azimuth"] +) proj.plot() -plt.ylim(-1.1,1.1) +plt.ylim(-1.1, 1.1) plt.legend() # %% # The ratio between POA projection and the horizontal projection. -ratio = pvlib.irradiance.poa_horizontal_ratio(32, 180, - ephem_data['apparent_zenith'], - ephem_data['azimuth']) +ratio = pvlib.irradiance.poa_horizontal_ratio( + 32, 180, ephem_data["apparent_zenith"], ephem_data["azimuth"] +) ratio.plot() -plt.ylim(-4,4) +plt.ylim(-4, 4) # %% # This plot shows that an explicit dot product calculation gives the same @@ -665,16 +840,20 @@ sen_alt_rad = np.radians(90 - surf_tilt) sen_azi_rad = np.radians(surf_az) -alts = np.radians(90 - ephem_data['apparent_zenith']) -azis = np.radians(ephem_data['azimuth']) +alts = np.radians(90 - ephem_data["apparent_zenith"]) +azis = np.radians(ephem_data["azimuth"]) -dotprod = np.cos(sen_alt_rad)*np.cos(alts)*np.cos(sen_azi_rad-azis) + np.sin(sen_alt_rad)*np.sin(alts) -dotprod.plot(label='dotprod') +dotprod = np.cos(sen_alt_rad) * np.cos(alts) * np.cos( + sen_azi_rad - azis +) + np.sin(sen_alt_rad) * np.sin(alts) +dotprod.plot(label="dotprod") -proj = pvlib.irradiance.aoi_projection(surf_tilt, surf_az, ephem_data['apparent_zenith'], ephem_data['azimuth']) +proj = pvlib.irradiance.aoi_projection( + surf_tilt, surf_az, ephem_data["apparent_zenith"], ephem_data["azimuth"] +) proj.plot() -plt.ylim(-1.1,1.1) +plt.ylim(-1.1, 1.1) plt.legend() # %% @@ -686,30 +865,38 @@ # # South facing with latitude tilt. + def get_total_irradiance_per_model(surface_tilt, surface_azimuth): - models = ['isotropic', 'klucher', 'haydavies', 'reindl', 'king', 'perez'] + models = ["isotropic", "klucher", "haydavies", "reindl", "king", "perez"] totals = {} for model in models: total = pvlib.irradiance.get_total_irradiance( - surface_tilt, surface_azimuth, - ephem_data['apparent_zenith'], ephem_data['azimuth'], - dni=irrad_data['dni'], ghi=irrad_data['ghi'], dhi=irrad_data['dhi'], - dni_extra=dni_et, airmass=AM, + surface_tilt, + surface_azimuth, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], + dni=irrad_data["dni"], + ghi=irrad_data["ghi"], + dhi=irrad_data["dhi"], + dni_extra=dni_et, + airmass=AM, model=model, - surface_type='urban') + surface_type="urban", + ) totals[model] = total total.plot() plt.title(model) plt.ylim(-50, 1100) - plt.ylabel('Irradiance (W/m^2)') + plt.ylabel("Irradiance (W/m^2)") plt.figure() for model, total in totals.items(): - total['poa_global'].plot(lw=.5, label=model) + total["poa_global"].plot(lw=0.5, label=model) plt.legend() - plt.ylabel('Irradiance (W/m^2)') + plt.ylabel("Irradiance (W/m^2)") + get_total_irradiance_per_model(32, 180) From ea1aba0870f5b721b437fb55282ed22b8ec09ef8 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 19:14:44 +0200 Subject: [PATCH 12/37] Revert "Btw, this would make it match files ending in .py, and not something like entropy" This reverts commit 244dafd44f2da7839162ff6265da2523f7cac8e0. --- docs/sphinx/source/conf.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py index e19139d2ad..c605ff37eb 100644 --- a/docs/sphinx/source/conf.py +++ b/docs/sphinx/source/conf.py @@ -360,7 +360,7 @@ def setup(app): '../../tutorials'], 'gallery_dirs': ['gallery'], # location of generated output # sphinx-gallery only shows plots from plot_*.py files by default: - 'filename_pattern': r'*.\.py', + 'filename_pattern': '*.py', # directory where function/class granular galleries are stored 'backreferences_dir': 'reference/generated/gallery_backreferences', From 275056d3ace3e4c626f5a63666dd989814bf04e7 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 19:19:29 +0200 Subject: [PATCH 13/37] Found it, now it does the reverted change thing --- docs/sphinx/source/conf.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py index c605ff37eb..7863e1f466 100644 --- a/docs/sphinx/source/conf.py +++ b/docs/sphinx/source/conf.py @@ -360,7 +360,7 @@ def setup(app): '../../tutorials'], 'gallery_dirs': ['gallery'], # location of generated output # sphinx-gallery only shows plots from plot_*.py files by default: - 'filename_pattern': '*.py', + 'filename_pattern': r'.*\.py', # directory where function/class granular galleries are stored 'backreferences_dir': 'reference/generated/gallery_backreferences', From 5c4bcf30df901ada3c5e20a438dc80c3618d82de Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 19:30:50 +0200 Subject: [PATCH 14/37] Hmmm --- docs/sphinx/source/conf.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py index 7863e1f466..933047efc2 100644 --- a/docs/sphinx/source/conf.py +++ b/docs/sphinx/source/conf.py @@ -358,7 +358,9 @@ def setup(app): 'examples_dirs': [ # location of gallery scripts '../../examples', '../../tutorials'], - 'gallery_dirs': ['gallery'], # location of generated output + 'gallery_dirs': [ # location of generated output + 'gallery_examples', + 'gallery_tutorials'], # sphinx-gallery only shows plots from plot_*.py files by default: 'filename_pattern': r'.*\.py', From d13cd8a436ba58379280cbf247303852f251e7e7 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 19:38:36 +0200 Subject: [PATCH 15/37] Andddd this --- docs/sphinx/source/index.rst | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/sphinx/source/index.rst b/docs/sphinx/source/index.rst index 2810d76ce0..1591b8e85b 100644 --- a/docs/sphinx/source/index.rst +++ b/docs/sphinx/source/index.rst @@ -103,7 +103,8 @@ Contents :maxdepth: 1 user_guide/index - gallery/index + gallery_examples/index + gallery_tutorials/index reference/index whatsnew contributing From f136a270f665539f2ec594f4344f6fd8fb5b9b10 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 19:43:24 +0200 Subject: [PATCH 16/37] require ephem to build docs --- setup.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 3d2b64444b..30b65986b2 100755 --- a/setup.py +++ b/setup.py @@ -51,7 +51,8 @@ 'doc': ['ipython', 'matplotlib', 'sphinx == 4.5.0', 'pydata-sphinx-theme == 0.8.1', 'sphinx-gallery', 'docutils == 0.15.2', 'pillow', - 'sphinx-toggleprompt >= 0.0.5', 'solarfactors'], + 'sphinx-toggleprompt >= 0.0.5', 'solarfactors', + 'ephem'], 'test': TESTS_REQUIRE } EXTRAS_REQUIRE['all'] = sorted(set(sum(EXTRAS_REQUIRE.values(), []))) From 804d503d36493587f4f3007781eb041874e29e3e Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Mon, 31 Jul 2023 20:09:46 +0200 Subject: [PATCH 17/37] Solve timeit problem (hopefully) --- docs/tutorials/irradiance.py | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/docs/tutorials/irradiance.py b/docs/tutorials/irradiance.py index ae02626dd7..ecf7c2da62 100644 --- a/docs/tutorials/irradiance.py +++ b/docs/tutorials/irradiance.py @@ -107,12 +107,17 @@ times = pd.date_range(start="2015", end="2016", freq="1min") -# NBVAL_SKIP TODO: USE TIMEIT.TIMEIT -timeit(pvlib.irradiance.get_extra_radiation(times, method="spencer")) -timeit(pvlib.irradiance.get_extra_radiation(times, method="asce")) -timeit(pvlib.irradiance.get_extra_radiation(times, method="pyephem")) -timeit(pvlib.irradiance.get_extra_radiation(times, method="nrel")) -timeit(pvlib.irradiance.get_extra_radiation(times, method="nrel", how="numba")) +timeit('pvlib.irradiance.get_extra_radiation(times, method="spencer")', + setup='import pvlib', number=5, globals={'times': times}) +timeit('pvlib.irradiance.get_extra_radiation(times, method="asce")', + setup='import pvlib', number=5, globals={'times': times}) +timeit('pvlib.irradiance.get_extra_radiation(times, method="pyephem")', + setup='import pvlib', number=5, globals={'times': times}) +timeit('pvlib.irradiance.get_extra_radiation(times, method="nrel")', + setup='import pvlib', number=5, globals={'times': times}) +timeit( + 'pvlib.irradiance.get_extra_radiation(times, method="nrel", how="numba")', + setup='import pvlib', number=5, globals={'times': times}) # %% # In addition to DatetimeIndex input, the methods also work for various scalar From e197228c9ee9a72744c714f5600997fe06d98a39 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Tue, 1 Aug 2023 22:10:21 +0200 Subject: [PATCH 18/37] I don't know how to make this work --- docs/tutorials/irradiance.py | 48 +++++++++++++++++++----------------- 1 file changed, 25 insertions(+), 23 deletions(-) diff --git a/docs/tutorials/irradiance.py b/docs/tutorials/irradiance.py index ecf7c2da62..08940faa57 100644 --- a/docs/tutorials/irradiance.py +++ b/docs/tutorials/irradiance.py @@ -609,30 +609,32 @@ delta.plot() # %% -modelt = "allsitescomposite1990" -F1c, F2c = pvlib.irradiance._get_perez_coefficients(modelt) - -F1 = ( - F1c[ebin, 0] - + F1c[ebin, 1] * delta[ebin.index] - + F1c[ebin, 2] * z[ebin.index] -) -F1[F1 < 0] = 0 -F1 = F1.astype(float) - -# F2= F2c[ebin,0] + F2c[ebin,1]*delta[ebinfilter] + F2c[ebin,2]*z[ebinfilter] -F2 = ( - F2c[ebin, 0] - + F2c[ebin, 1] * delta[ebin.index] - + F2c[ebin, 2] * z[ebin.index] -) -F2[F2 < 0] = 0 -F2 = F2.astype(float) - -F1.plot(label="F1") -F2.plot(label="F2") -plt.legend() +# TODO: THIS AIN'T WORKING SORRY :( +# modelt = "allsitescomposite1990" + +# F1c, F2c = pvlib.irradiance._get_perez_coefficients(modelt) + +# F1 = ( +# F1c[ebin, 0] +# + F1c[ebin, 1] * delta[ebin.index] +# + F1c[ebin, 2] * z[ebin.index] +# ) +# F1[F1 < 0] = 0 +# F1 = F1.astype(float) + +# # F2= F2c[ebin,0] + F2c[ebin,1]*delta[ebinfilter] + F2c[ebin,2]*z[ebinfilter] +# F2 = ( +# F2c[ebin, 0] +# + F2c[ebin, 1] * delta[ebin.index] +# + F2c[ebin, 2] * z[ebin.index] +# ) +# F2[F2 < 0] = 0 +# F2 = F2.astype(float) + +# F1.plot(label="F1") +# F2.plot(label="F2") +# plt.legend() # %% A = tools.cosd(surf_tilt) * tools.cosd(sun_zen) + tools.sind( From 3c54c9c57dd35b198adcb18d0e4a72ebd5a2874c Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Tue, 1 Aug 2023 22:27:48 +0200 Subject: [PATCH 19/37] (This was left uncommented but relates to previous commit) --- docs/tutorials/irradiance.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/docs/tutorials/irradiance.py b/docs/tutorials/irradiance.py index 08940faa57..3251c682ec 100644 --- a/docs/tutorials/irradiance.py +++ b/docs/tutorials/irradiance.py @@ -651,16 +651,16 @@ B.plot(label="B") plt.legend() -# %% -sky_diffuse = DHI * ( - 0.5 * (1 - F1) * (1 + tools.cosd(surf_tilt)) - + F1 * A[ebin.index] / B[ebin.index] - + F2 * tools.sind(surf_tilt) -) -sky_diffuse[sky_diffuse < 0] = 0 -sky_diffuse[AM.isnull()] = 0 +# %% TODO FIX AFTER WILL'S REVIEWING +# sky_diffuse = DHI * ( +# 0.5 * (1 - F1) * (1 + tools.cosd(surf_tilt)) +# + F1 * A[ebin.index] / B[ebin.index] +# + F2 * tools.sind(surf_tilt) +# ) +# sky_diffuse[sky_diffuse < 0] = 0 +# sky_diffuse[AM.isnull()] = 0 -sky_diffuse.plot() +# sky_diffuse.plot() # %% # Compare the Perez model to others. From 71b4aac84c0abf3d53573907911d5c642d067e4d Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Wed, 2 Aug 2023 18:41:17 +0200 Subject: [PATCH 20/37] Create solarposition.py with jupyter nbconvert --- docs/tutorials/solarposition.py | 422 ++++++++++++++++++++++++++++++++ 1 file changed, 422 insertions(+) create mode 100644 docs/tutorials/solarposition.py diff --git a/docs/tutorials/solarposition.py b/docs/tutorials/solarposition.py new file mode 100644 index 0000000000..cb0fbd5b71 --- /dev/null +++ b/docs/tutorials/solarposition.py @@ -0,0 +1,422 @@ +#!/usr/bin/env python +# coding: utf-8 + +# # ``solarposition.py`` tutorial +# +# This tutorial needs your help to make it better! +# +# Table of contents: +# 1. [Setup](#Setup) +# 2. [SPA output](#SPA-output) +# 2. [Speed tests](#Speed-tests) +# +# This tutorial has been tested against the following package versions: +# * pvlib 0.8.0 +# * Python 3.8.5 +# * IPython 7.18 +# * Pandas 1.1.1 +# +# It should work with other Python and Pandas versions. It requires pvlib > 0.3.0 and IPython > 3.0. + +# ## Setup + +# In[1]: + + +import datetime + +# scientific python add-ons +import numpy as np +import pandas as pd + +# plotting stuff +# first line makes the plots appear in the notebook +get_ipython().run_line_magic("matplotlib", "inline") +import matplotlib.pyplot as plt + +# finally, we import the pvlib library +import pvlib + + +# In[2]: + + +import pvlib +from pvlib.location import Location + + +# ## SPA output + +# In[3]: + + +tus = Location(32.2, -111, "US/Arizona", 700, "Tucson") +print(tus) +golden = Location(39.742476, -105.1786, "America/Denver", 1830, "Golden") +print(golden) +golden_mst = Location(39.742476, -105.1786, "MST", 1830, "Golden MST") +print(golden_mst) +berlin = Location(52.5167, 13.3833, "Europe/Berlin", 34, "Berlin") +print(berlin) + + +# In[4]: + + +times = pd.date_range( + start=datetime.datetime(2014, 6, 23), + end=datetime.datetime(2014, 6, 24), + freq="1Min", +) +times_loc = times.tz_localize(tus.pytz) + + +# In[5]: + + +times + + +# In[6]: + + +pyephemout = pvlib.solarposition.pyephem( + times_loc, tus.latitude, tus.longitude +) +spaout = pvlib.solarposition.spa_python(times_loc, tus.latitude, tus.longitude) + +pyephemout["elevation"].plot(label="pyephem") +pyephemout["apparent_elevation"].plot(label="pyephem apparent") +spaout["elevation"].plot(label="spa") +plt.legend(ncol=2) +plt.title("elevation") + +print("pyephem") +print(pyephemout.head()) +print("spa") +print(spaout.head()) + + +# In[7]: + + +plt.figure() +pyephemout["elevation"].plot(label="pyephem") +spaout["elevation"].plot(label="spa") +(pyephemout["elevation"] - spaout["elevation"]).plot(label="diff") +plt.legend(ncol=3) +plt.title("elevation") + +plt.figure() +pyephemout["apparent_elevation"].plot(label="pyephem apparent") +spaout["elevation"].plot(label="spa") +(pyephemout["apparent_elevation"] - spaout["elevation"]).plot(label="diff") +plt.legend(ncol=3) +plt.title("elevation") + +plt.figure() +pyephemout["apparent_zenith"].plot(label="pyephem apparent") +spaout["zenith"].plot(label="spa") +(pyephemout["apparent_zenith"] - spaout["zenith"]).plot(label="diff") +plt.legend(ncol=3) +plt.title("zenith") + +plt.figure() +pyephemout["apparent_azimuth"].plot(label="pyephem apparent") +spaout["azimuth"].plot(label="spa") +(pyephemout["apparent_azimuth"] - spaout["azimuth"]).plot(label="diff") +plt.legend(ncol=3) +plt.title("azimuth") + + +# In[8]: + + +pyephemout = pvlib.solarposition.pyephem( + times.tz_localize(golden.tz), golden.latitude, golden.longitude +) +spaout = pvlib.solarposition.spa_python( + times.tz_localize(golden.tz), golden.latitude, golden.longitude +) + +pyephemout["elevation"].plot(label="pyephem") +pyephemout["apparent_elevation"].plot(label="pyephem apparent") +spaout["elevation"].plot(label="spa") +plt.legend(ncol=2) +plt.title("elevation") + +print("pyephem") +print(pyephemout.head()) +print("spa") +print(spaout.head()) + + +# In[9]: + + +pyephemout = pvlib.solarposition.pyephem( + times.tz_localize(golden.tz), golden.latitude, golden.longitude +) +ephemout = pvlib.solarposition.ephemeris( + times.tz_localize(golden.tz), golden.latitude, golden.longitude +) + +pyephemout["elevation"].plot(label="pyephem") +pyephemout["apparent_elevation"].plot(label="pyephem apparent") +ephemout["elevation"].plot(label="ephem") +plt.legend(ncol=2) +plt.title("elevation") + +print("pyephem") +print(pyephemout.head()) +print("ephem") +print(ephemout.head()) + + +# In[10]: + + +loc = berlin + +pyephemout = pvlib.solarposition.pyephem( + times.tz_localize(loc.tz), loc.latitude, loc.longitude +) +ephemout = pvlib.solarposition.ephemeris( + times.tz_localize(loc.tz), loc.latitude, loc.longitude +) + +pyephemout["elevation"].plot(label="pyephem") +pyephemout["apparent_elevation"].plot(label="pyephem apparent") +ephemout["elevation"].plot(label="ephem") +ephemout["apparent_elevation"].plot(label="ephem apparent") +plt.legend(ncol=2) +plt.title("elevation") + +print("pyephem") +print(pyephemout.head()) +print("ephem") +print(ephemout.head()) + + +# In[11]: + + +loc = berlin +times = pd.date_range( + start=datetime.date(2015, 3, 28), + end=datetime.date(2015, 3, 29), + freq="5min", +) + +pyephemout = pvlib.solarposition.pyephem( + times.tz_localize(loc.tz), loc.latitude, loc.longitude +) +ephemout = pvlib.solarposition.ephemeris( + times.tz_localize(loc.tz), loc.latitude, loc.longitude +) + +pyephemout["elevation"].plot(label="pyephem") +pyephemout["apparent_elevation"].plot(label="pyephem apparent") +ephemout["elevation"].plot(label="ephem") +plt.legend(ncol=2) +plt.title("elevation") + +plt.figure() +pyephemout["azimuth"].plot(label="pyephem") +ephemout["azimuth"].plot(label="ephem") +plt.legend(ncol=2) +plt.title("azimuth") + +print("pyephem") +print(pyephemout.head()) +print("ephem") +print(ephemout.head()) + + +# In[12]: + + +loc = berlin +times = pd.date_range( + start=datetime.date(2015, 3, 30), + end=datetime.date(2015, 3, 31), + freq="5min", +) + +pyephemout = pvlib.solarposition.pyephem( + times.tz_localize(loc.tz), loc.latitude, loc.longitude +) +ephemout = pvlib.solarposition.ephemeris( + times.tz_localize(loc.tz), loc.latitude, loc.longitude +) + +pyephemout["elevation"].plot(label="pyephem") +pyephemout["apparent_elevation"].plot(label="pyephem apparent") +ephemout["elevation"].plot(label="ephem") +plt.legend(ncol=2) +plt.title("elevation") + +plt.figure() +pyephemout["azimuth"].plot(label="pyephem") +ephemout["azimuth"].plot(label="ephem") +plt.legend(ncol=2) +plt.title("azimuth") + +print("pyephem") +print(pyephemout.head()) +print("ephem") +print(ephemout.head()) + + +# In[13]: + + +loc = berlin +times = pd.date_range( + start=datetime.date(2015, 6, 28), + end=datetime.date(2015, 6, 29), + freq="5min", +) + +pyephemout = pvlib.solarposition.pyephem( + times.tz_localize(loc.tz), loc.latitude, loc.longitude +) +ephemout = pvlib.solarposition.ephemeris( + times.tz_localize(loc.tz), loc.latitude, loc.longitude +) + +pyephemout["elevation"].plot(label="pyephem") +pyephemout["apparent_elevation"].plot(label="pyephem apparent") +ephemout["elevation"].plot(label="ephem") +plt.legend(ncol=2) +plt.title("elevation") + +plt.figure() +pyephemout["azimuth"].plot(label="pyephem") +ephemout["azimuth"].plot(label="ephem") +plt.legend(ncol=2) +plt.title("azimuth") + +print("pyephem") +print(pyephemout.head()) +print("ephem") +print(ephemout.head()) + + +# In[14]: + + +pyephemout["elevation"].plot(label="pyephem") +pyephemout["apparent_elevation"].plot(label="pyephem apparent") +ephemout["elevation"].plot(label="ephem") +ephemout["apparent_elevation"].plot(label="ephem apparent") +plt.legend(ncol=2) +plt.title("elevation") +plt.xlim( + pd.Timestamp("2015-06-28 02:00:00+02:00"), + pd.Timestamp("2015-06-28 06:00:00+02:00"), +) +plt.ylim(-10, 10) + + +# In[15]: + + +# use calc_time to find the time at which a solar angle occurs. +pvlib.solarposition.calc_time( + datetime.datetime(2020, 9, 14, 12), + datetime.datetime(2020, 9, 14, 15), + 32.2, + -110.9, + "alt", + 0.05235987755982988, # 3 degrees in radians +) + + +# In[16]: + + +pvlib.solarposition.calc_time( + datetime.datetime(2020, 9, 14, 22), + datetime.datetime(2020, 9, 15, 4), + 32.2, + -110.9, + "alt", + 0.05235987755982988, # 3 degrees in radians +) + + +# ## Speed tests + +# In[17]: + + +times = pd.date_range(start="20180601", freq="1min", periods=14400) +times_loc = times.tz_localize(loc.tz) + + +# In[18]: + + +get_ipython().run_cell_magic( + "timeit", + "", + "# NBVAL_SKIP\n\npyephemout = pvlib.solarposition.pyephem(times_loc, loc.latitude, loc.longitude)\n#ephemout = pvlib.solarposition.ephemeris(times, loc)\n", +) + + +# In[19]: + + +get_ipython().run_cell_magic( + "timeit", + "", + "# NBVAL_SKIP\n\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.ephemeris(times_loc, loc.latitude, loc.longitude)\n", +) + + +# In[20]: + + +get_ipython().run_cell_magic( + "timeit", + "", + "# NBVAL_SKIP\n\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.get_solarposition(times_loc, loc.latitude, loc.longitude,\n method='nrel_numpy')\n", +) + + +# This numba test will only work properly if you have installed numba. + +# In[21]: + + +get_ipython().run_cell_magic( + "timeit", + "", + "# NBVAL_SKIP\n\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.get_solarposition(times_loc, loc.latitude, loc.longitude,\n method='nrel_numba')\n", +) + + +# The numba calculation takes a long time the first time that it's run because it uses LLVM to compile the Python code to machine code. After that it's about 4-10 times faster depending on your machine. You can pass a ``numthreads`` argument to this function. The optimum ``numthreads`` depends on your machine and is equal to 4 by default. + +# In[22]: + + +get_ipython().run_cell_magic( + "timeit", + "", + "# NBVAL_SKIP\n\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.get_solarposition(times_loc, loc.latitude, loc.longitude,\n method='nrel_numba', numthreads=16)\n", +) + + +# In[23]: + + +get_ipython().run_cell_magic( + "timeit", + "", + "# NBVAL_SKIP\n\nephemout = pvlib.solarposition.spa_python(times_loc, loc.latitude, loc.longitude,\n how='numba', numthreads=16)\n", +) + + +# In[ ]: From bd832e7ea451c2444ed2ccf15368237a60ae5193 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Wed, 2 Aug 2023 20:49:25 +0200 Subject: [PATCH 21/37] Edit solarposition.py --- docs/tutorials/solarposition.py | 230 +++++++++++++++----------------- 1 file changed, 104 insertions(+), 126 deletions(-) diff --git a/docs/tutorials/solarposition.py b/docs/tutorials/solarposition.py index cb0fbd5b71..0db32bb76f 100644 --- a/docs/tutorials/solarposition.py +++ b/docs/tutorials/solarposition.py @@ -1,14 +1,14 @@ -#!/usr/bin/env python -# coding: utf-8 +""" +``solarposition.py`` tutorial +============================= +""" -# # ``solarposition.py`` tutorial -# # This tutorial needs your help to make it better! # # Table of contents: -# 1. [Setup](#Setup) -# 2. [SPA output](#SPA-output) -# 2. [Speed tests](#Speed-tests) +# 1. `Setup`_ +# 2. `SPA output`_ +# 3. `Speed tests`_ # # This tutorial has been tested against the following package versions: # * pvlib 0.8.0 @@ -16,39 +16,22 @@ # * IPython 7.18 # * Pandas 1.1.1 # -# It should work with other Python and Pandas versions. It requires pvlib > 0.3.0 and IPython > 3.0. - -# ## Setup - -# In[1]: - +# It should work with other Python and Pandas versions. +# It requires pvlib > 0.3.0 and IPython > 3.0. +# Setup +# ----- import datetime +from timeit import timeit -# scientific python add-ons -import numpy as np import pandas as pd - -# plotting stuff -# first line makes the plots appear in the notebook -get_ipython().run_line_magic("matplotlib", "inline") import matplotlib.pyplot as plt - -# finally, we import the pvlib library -import pvlib - - -# In[2]: - - import pvlib from pvlib.location import Location - -# ## SPA output - -# In[3]: - +# %% +# SPA output +# ---------- tus = Location(32.2, -111, "US/Arizona", 700, "Tucson") print(tus) @@ -59,27 +42,17 @@ berlin = Location(52.5167, 13.3833, "Europe/Berlin", 34, "Berlin") print(berlin) - -# In[4]: - - +# %% times = pd.date_range( start=datetime.datetime(2014, 6, 23), end=datetime.datetime(2014, 6, 24), freq="1Min", ) times_loc = times.tz_localize(tus.pytz) +print(times) -# In[5]: - - -times - - -# In[6]: - - +# %% pyephemout = pvlib.solarposition.pyephem( times_loc, tus.latitude, tus.longitude ) @@ -97,9 +70,7 @@ print(spaout.head()) -# In[7]: - - +# %% plt.figure() pyephemout["elevation"].plot(label="pyephem") spaout["elevation"].plot(label="spa") @@ -129,9 +100,7 @@ plt.title("azimuth") -# In[8]: - - +# %% pyephemout = pvlib.solarposition.pyephem( times.tz_localize(golden.tz), golden.latitude, golden.longitude ) @@ -151,9 +120,7 @@ print(spaout.head()) -# In[9]: - - +# %% pyephemout = pvlib.solarposition.pyephem( times.tz_localize(golden.tz), golden.latitude, golden.longitude ) @@ -173,9 +140,7 @@ print(ephemout.head()) -# In[10]: - - +# %% loc = berlin pyephemout = pvlib.solarposition.pyephem( @@ -198,9 +163,7 @@ print(ephemout.head()) -# In[11]: - - +# %% loc = berlin times = pd.date_range( start=datetime.date(2015, 3, 28), @@ -233,9 +196,7 @@ print(ephemout.head()) -# In[12]: - - +# %% loc = berlin times = pd.date_range( start=datetime.date(2015, 3, 30), @@ -268,9 +229,7 @@ print(ephemout.head()) -# In[13]: - - +# %% loc = berlin times = pd.date_range( start=datetime.date(2015, 6, 28), @@ -303,9 +262,7 @@ print(ephemout.head()) -# In[14]: - - +# %% pyephemout["elevation"].plot(label="pyephem") pyephemout["apparent_elevation"].plot(label="pyephem apparent") ephemout["elevation"].plot(label="ephem") @@ -319,9 +276,7 @@ plt.ylim(-10, 10) -# In[15]: - - +# %% # use calc_time to find the time at which a solar angle occurs. pvlib.solarposition.calc_time( datetime.datetime(2020, 9, 14, 12), @@ -333,9 +288,7 @@ ) -# In[16]: - - +# %% pvlib.solarposition.calc_time( datetime.datetime(2020, 9, 14, 22), datetime.datetime(2020, 9, 15, 4), @@ -346,77 +299,102 @@ ) -# ## Speed tests - -# In[17]: +# Speed tests +# ----------- +# %% +# define globals times = pd.date_range(start="20180601", freq="1min", periods=14400) times_loc = times.tz_localize(loc.tz) - -# In[18]: - - -get_ipython().run_cell_magic( - "timeit", - "", - "# NBVAL_SKIP\n\npyephemout = pvlib.solarposition.pyephem(times_loc, loc.latitude, loc.longitude)\n#ephemout = pvlib.solarposition.ephemeris(times, loc)\n", +globals = {"pvlib": pvlib, "loc": loc, "times": times, "times_loc": times_loc} + +# %% +print( + timeit( + """ +pyephemout = pvlib.solarposition.pyephem(times_loc, loc.latitude, + loc.longitude) +#ephemout = pvlib.solarposition.ephemeris(times, loc)""", + globals=globals, + number=5, + ) ) -# In[19]: - - -get_ipython().run_cell_magic( - "timeit", - "", - "# NBVAL_SKIP\n\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.ephemeris(times_loc, loc.latitude, loc.longitude)\n", +# %% +print( + timeit( + """ +# pyephemout = pvlib.solarposition.pyephem(times, loc) +ephemout = pvlib.solarposition.ephemeris(times_loc, loc.latitude, + loc.longitude)""", + globals=globals, + number=5, + ) ) -# In[20]: - - -get_ipython().run_cell_magic( - "timeit", - "", - "# NBVAL_SKIP\n\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.get_solarposition(times_loc, loc.latitude, loc.longitude,\n method='nrel_numpy')\n", +# %% +print( + timeit( + """ +# pyephemout = pvlib.solarposition.pyephem(times, loc) +ephemout = pvlib.solarposition.get_solarposition(times_loc, loc.latitude, + loc.longitude, + method='nrel_numpy')""", + globals=globals, + number=5, + ) ) # This numba test will only work properly if you have installed numba. -# In[21]: - - -get_ipython().run_cell_magic( - "timeit", - "", - "# NBVAL_SKIP\n\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.get_solarposition(times_loc, loc.latitude, loc.longitude,\n method='nrel_numba')\n", +# %% +print( + timeit( + """ +#pyephemout = pvlib.solarposition.pyephem(times, loc) +ephemout = pvlib.solarposition.get_solarposition(times_loc, loc.latitude, + loc.longitude, + method='nrel_numba')""", + globals=globals, + number=5, + ) ) -# The numba calculation takes a long time the first time that it's run because it uses LLVM to compile the Python code to machine code. After that it's about 4-10 times faster depending on your machine. You can pass a ``numthreads`` argument to this function. The optimum ``numthreads`` depends on your machine and is equal to 4 by default. - -# In[22]: - - -get_ipython().run_cell_magic( - "timeit", - "", - "# NBVAL_SKIP\n\n#pyephemout = pvlib.solarposition.pyephem(times, loc)\nephemout = pvlib.solarposition.get_solarposition(times_loc, loc.latitude, loc.longitude,\n method='nrel_numba', numthreads=16)\n", +# The numba calculation takes a long time the first time that it's run because +# it uses LLVM to compile the Python code to machine code. After that it's +# about 4-10 times faster depending on your machine. You can pass a +# ``numthreads`` argument to this function. The optimum ``numthreads`` depends +# on your machine and is equal to 4 by default. + +# %% +print( + timeit( + """ +#pyephemout = pvlib.solarposition.pyephem(times, loc) +ephemout = pvlib.solarposition.get_solarposition(times_loc, loc.latitude, + loc.longitude, + method='nrel_numba', + numthreads=16)""", + globals=globals, + number=5, + ) ) -# In[23]: - - -get_ipython().run_cell_magic( - "timeit", - "", - "# NBVAL_SKIP\n\nephemout = pvlib.solarposition.spa_python(times_loc, loc.latitude, loc.longitude,\n how='numba', numthreads=16)\n", +# %% +print( + timeit( + """ +ephemout = pvlib.solarposition.spa_python(times_loc, loc.latitude, + loc.longitude, how='numba', + numthreads=16)""", + globals=globals, + number=5, + ) ) - - -# In[ ]: From 7b55aae6ccc5ed908dc901258b4af31183341f16 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Wed, 2 Aug 2023 20:57:12 +0200 Subject: [PATCH 22/37] Update irradiance.py --- docs/tutorials/irradiance.py | 62 +++++++++++++++++++----------------- 1 file changed, 32 insertions(+), 30 deletions(-) diff --git a/docs/tutorials/irradiance.py b/docs/tutorials/irradiance.py index 3251c682ec..024f6b2ff3 100644 --- a/docs/tutorials/irradiance.py +++ b/docs/tutorials/irradiance.py @@ -5,11 +5,12 @@ # %% # This tutorial explores some of the functions available in the ``pvlib`` -# module ``irradiance.py``. +# module :py:mod:`irradiance`. # # This tutorial requires pvlib >= 0.6.0. # # Authors: +# # - Will Holmgren (@wholmgren), University of Arizona. July 2014, April 2015, # July 2015, March 2016, July 2016, February 2017, August 2018. @@ -28,18 +29,18 @@ # %% # Table of contents -# TODO -# 1. [Extraterrestrial radiation](#Extraterrestrial-radiation) -# 2. [Clear sky models](#Clear-sky-models) -# 3. [Diffuse ground](#Diffuse-ground) -# 4. [Diffuse sky](#Diffuse-sky) -# 1. [Isotropic](#Isotropic-model) -# 2. [Klucher](#Klucher-model) -# 3. [Reindl](#Reindl-model) -# 4. [Hay-Davies](#Hay-Davies-model) -# 5. [Perez](#Perez-model) -# 5. [Angle of incidence](#Angle-of-incidence-functions) -# 6. [total_irrad](#total_irrad) +# +# 1. `Extraterrestrial radiation`_ +# 2. `Clear sky models`_ +# 3. `Diffuse ground`_ +# 4. `Diffuse sky`_ +# 1. `Isotropic model`_ +# 2. `Klucher model`_ +# 3. `Reindl model`_ +# 4. `Hay-Davies model`_ +# 5. `Perez model`_ +# 5. `Angle of incidence`_ +# 6. `total_irrad`_ # %% # Extraterrestrial radiation @@ -162,9 +163,8 @@ # %% # Clear sky models # ---------------- -# See the online documentation for clear sky modeling examples. -# TODO: LINK LINK -# http://pvlib-python.readthedocs.io/en/stable/user_guide/clearsky.html +# See the online documentation for clear `sky modeling examples +# `_. # # Here we only generate data for the functions below. @@ -179,9 +179,10 @@ plt.title("Ineichen, climatological turbidity") # Diffuse ground -# -------------- TODO: LINK FUNCS -# The ``grounddiffuse`` function has a few different ways to obtain the -# diffuse light reflected from the ground given an surface tilt and the GHI. +# -------------- +# The :py:func:``~pvlib.irradiance.grounddiffuse`` function has a few different +# ways to obtain the diffuse light reflected from the ground given +# an surface tilt and the GHI. # # First, you can specify the albedo of ground. @@ -228,12 +229,12 @@ # ``pvlib`` has many different ways to calculate the diffuse sky component # of GHI. # -# The API for some of these functions needs some work. TODO HYPERLINKS -# 1. [Isotropic](#Isotropic-model) -# 2. [Klucher](#Klucher-model) -# 3. [Reindl](#Reindl-model) -# 4. [Hay-Davies](#Hay-Davies-model) -# 5. [Perez](#Perez-model) +# The API for some of these functions needs some work. +# 1. `Isotropic model`_ +# 2. `Klucher model`_ +# 3. `Reindl model`_ +# 4. `Hay-Davies model`_ +# 5. `Perez model`_ # # Isotropic model # ^^^^^^^^^^^^^^^ @@ -804,8 +805,8 @@ # %% # Angle of incidence functions # ---------------------------- -# The ``irradiance`` module has some convenience functions to help calculate -# the angle of incidence. TODO: LINK +# The :py:mod:`~pvlib.irradiance` module has some convenience functions to +# help calculate the angle of incidence. # # First, the angle of incidence. @@ -839,7 +840,7 @@ # %% # This plot shows that an explicit dot product calculation gives the same -# result as ``aoi_projection``. TODO: HYPERLINK +# result as :py:func:`~pvlib.irradiance.aoi_projection`. surf_tilt = 90 surf_az = 90 @@ -865,8 +866,9 @@ # %% # get_total_irradiance -# ^^^^^^^^^^^^^^^^^^^^ TODO: LINK -# There is a convenience function ``get_total_irradiance`` that aims to make +# ^^^^^^^^^^^^^^^^^^^^ +# There is a convenience function +# :py:func:`~pvlib.irradiance.get_total_irradiance` that aims to make # it easier to play with different models. For now, we use it to make summary # plots of the models explored above. # From 0abeadefacd57a1020879800671f61e11f533d17 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Wed, 2 Aug 2023 20:57:59 +0200 Subject: [PATCH 23/37] Update atmosphere.py --- docs/tutorials/atmosphere.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/tutorials/atmosphere.py b/docs/tutorials/atmosphere.py index 14610f4224..073e84d2f8 100644 --- a/docs/tutorials/atmosphere.py +++ b/docs/tutorials/atmosphere.py @@ -1,6 +1,6 @@ """" -``atmosphere.py`` tutorial -========================== +atmosphere.py tutorial +====================== """ From d28eae60cb14f1f72f9f0aec3961b2d2887936dc Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Wed, 2 Aug 2023 21:16:39 +0200 Subject: [PATCH 24/37] Manually transcript pvsystem.ipynb (last one) --- docs/tutorials/pvsystem.py | 404 +++++++++++++++++++++++++++++++++++++ 1 file changed, 404 insertions(+) create mode 100644 docs/tutorials/pvsystem.py diff --git a/docs/tutorials/pvsystem.py b/docs/tutorials/pvsystem.py new file mode 100644 index 0000000000..f1a300d396 --- /dev/null +++ b/docs/tutorials/pvsystem.py @@ -0,0 +1,404 @@ +""" +pvsystem tutorial +================= +This tutorial explores the ``pvlib.pvsystem`` module. The module has functions for importing PV module and inverter data and functions for modeling module and inverter performance. +""" + +# %% +# 1. [Angle of Incidence Modifiers](#Angle-of-Incidence-Modifiers) +# 2. [Sandia Cell Temp correction](#Sandia-Cell-Temp-correction) +# 3. [Sandia Inverter Model](#Sandia-inverter-model) +# 4. [Sandia Array Performance Model](#SAPM) +# 1. [SAPM IV curves](#SAPM-IV-curves) +# 5. [DeSoto Model](#desoto) +# 6. [Single Diode Model](#Single-diode-model) +# TODO: hyperlinks +# This notebook requires pvlib >= 0.8. See output of ``pd.show_versions()`` to see the other packages that this notebook was last used with. It should work with other Python and Pandas versions. +# Authors: +# * Will Holmgren (@wholmgren), University of Arizona. 2015, March 2016, November 2016, May 2017. + +# built-in python modules +import os +import inspect +import datetime + +# scientific python add-ons +import numpy as np +import pandas as pd + +# plotting stuff +# first line makes the plots appear in the notebook +import matplotlib.pyplot as plt +# seaborn makes your plots look better +try: + import seaborn as sns + sns.set(rc={"figure.figsize": (12, 6)}) +except ImportError: + print('We suggest you install seaborn using conda or pip and rerun this cell') + +# finally, we import the pvlib library +import pvlib +from pvlib import pvsystem, inverter + +# %% +# Angle of Incidence Modifiers +# ---------------------------- + +angles = np.linspace(-180,180,3601) +ashraeiam = pd.Series(pvsystem.iam.ashrae(angles, .05), index=angles) + +ashraeiam.plot() +plt.ylabel('ASHRAE modifier') +plt.xlabel('input angle (deg)') + +# %% +angles = np.linspace(-180,180,3601) +physicaliam = pd.Series(pvsystem.iam.ashrae(angles), index=angles) + +physicaliam.plot() +plt.ylabel('physical modifier') +plt.xlabel('input index') + +# %% +plt.figure() +ashraeiam.plot(label='ASHRAE') +physicaliam.plot(label='physical') +plt.ylabel('modifier') +plt.xlabel('input angle (deg)') +plt.legend() + +# %% +# Sandia Cell Temp correction +# --------------------------- +# PV system efficiency can vary by up to 0.5% per degree C, so it's important to accurately model cell temperature. The ``temperature.sapm_cell`` function uses plane of array irradiance, ambient temperature, wind speed, and module and racking type to calculate cell temperature. From King et. al. (2004): +# TODO: EQUATIONS +# $$T_m = E e^{a+b*WS} + T_a$$ +# +# $$T_c = T_m + \frac{E}{E_0} \Delta T$$ +# +# The $a$, $b$, and $\Delta T$ parameters depend on the module and racking type. Here we use the ``open_rack_glass_glass`` parameters. +# +# ``sapm_cell`` works with either scalar or vector inputs. + +# scalar inputs +thermal_params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm']['open_rack_glass_glass'] +pvlib.temperature.sapm_cell(900, 20, 5, **thermal_params) # irrad, temp, wind + +# %% + +# vector inputs +times = pd.date_range(start='2015-01-01', end='2015-01-02', freq='12H') +temps = pd.Series([0, 10, 5], index=times) +irrads = pd.Series([0, 500, 0], index=times) +winds = pd.Series([10, 5, 0], index=times) + +pvtemps = pvlib.temperature.sapm_cell(irrads, temps, winds, **thermal_params) +pvtemps.plot() + +# %% +# Cell temperature as a function of wind speed. + +wind = np.linspace(0,20,21) +temps = pd.Series(pvlib.temperature.sapm_cell(900, 20, wind, **thermal_params), index=wind) + +temps.plot() +plt.xlabel('wind speed (m/s)') +plt.ylabel('temperature (deg C)'); + +# %% +# Cell temperature as a function of ambient temperature. + +atemp = np.linspace(-20,50,71) +temps = pd.Series(pvlib.temperature.sapm_cell(900, atemp, 2, **thermal_params), index=atemp) + +temps.plot() +plt.xlabel('ambient temperature (deg C)') +plt.ylabel('temperature (deg C)') + +# %% +# Cell temperature as a function of incident irradiance. + +irrad = np.linspace(0,1000,101) +temps = pd.Series(pvlib.temperature.sapm_cell(irrad, 20, 2, **thermal_params), index=irrad) + +temps.plot() +plt.xlabel('incident irradiance (W/m**2)') +plt.ylabel('temperature (deg C)') + +# %% +# Cell temperature for different module and racking types. + +models = ['open_rack_glass_glass', + 'close_mount_glass_glass', + 'open_rack_glass_polymer', + 'insulated_back_glass_polymer'] + +temps = pd.Series(dtype=float) + +for model in models: + params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm'][model] + temps[model] = pvlib.temperature.sapm_cell(1000, 20, 5, **params) + +temps.plot(kind='bar') +plt.ylabel('temperature (deg C)') + +# %% +# Sandia-inverter-model +# --------------------- + +inverters = pvsystem.retrieve_sam('sandiainverter') +inverters + +# %% +vdcs = pd.Series(np.linspace(0,50,51)) +idcs = pd.Series(np.linspace(0,11,110)) +pdcs = idcs * vdcs + +pacs = inverter.sandia(vdcs, pdcs, inverters['ABB__MICRO_0_25_I_OUTD_US_208__208V_']) +#pacs.plot() +plt.plot(pdcs, pacs) +plt.ylabel('ac power') +plt.xlabel('dc power') + +# %% +# Need to put more effort into describing this function. [TODO ¿¿??] + +# %% +# DC model +# -------- +# This example shows use of the Desoto module performance model and the Sandia Array Performance Model (SAPM). Both models reuire a set of parameter values which can be read from SAM databases for modules. +# +# Foe the Desoto model, the database content is returned by supplying the keyword `cecmod` to `pvsystem.retrievesam`. + +cec_modules = pvsystem.retrieve_sam('cecmod') +cec_modules + +cecmodule = cec_modules.Canadian_Solar_Inc__CS5P_220M +cecmodule + +# %% +# The Sandia module database is read by the same function with the keyword `SandiaMod`. + +sandia_modules = pvsystem.retrieve_sam(name='SandiaMod') +sandia_modules + +sandia_module = sandia_modules.Canadian_Solar_CS5P_220M___2009_ +sandia_module + +# %% +# Generate some irradiance data for modeling. + +from pvlib import clearsky +from pvlib import irradiance +from pvlib import atmosphere +from pvlib.location import Location + +tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson') + +times_loc = pd.date_range(start=datetime.datetime(2014,4,1), end=datetime.datetime(2014,4,2), freq='30s', tz=tus.tz) +solpos = pvlib.solarposition.get_solarposition(times_loc, tus.latitude, tus.longitude) +dni_extra = pvlib.irradiance.get_extra_radiation(times_loc) +airmass = pvlib.atmosphere.get_relative_airmass(solpos['apparent_zenith']) +pressure = pvlib.atmosphere.alt2pres(tus.altitude) +am_abs = pvlib.atmosphere.get_absolute_airmass(airmass, pressure) +cs = tus.get_clearsky(times_loc) + +surface_tilt = tus.latitude +surface_azimuth = 180 # pointing south + +aoi = pvlib.irradiance.aoi(surface_tilt, surface_azimuth, + solpos['apparent_zenith'], solpos['azimuth']) +total_irrad = pvlib.irradiance.get_total_irradiance(surface_tilt, + surface_azimuth, + solpos['apparent_zenith'], + solpos['azimuth'], + cs['dni'], cs['ghi'], cs['dhi'], + dni_extra=dni_extra, + model='haydavies') + +# %% +# Now we can run the module parameters and the irradiance data through the SAPM functions. + +module = sandia_module + +# a sunny, calm, and hot day in the desert +thermal_params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm']['open_rack_glass_glass'] +temps = pvlib.temperature.sapm_cell(total_irrad['poa_global'], 30, 0, **thermal_params) + +effective_irradiance = pvlib.pvsystem.sapm_effective_irradiance( + total_irrad['poa_direct'], total_irrad['poa_diffuse'], + am_abs, aoi, module) + +sapm_1 = pvlib.pvsystem.sapm(effective_irradiance, temps, module) + +sapm_1.plot() + +# %% +def plot_sapm(sapm_data, effective_irradiance): + """ + Makes a nice figure with the SAPM data. + + Parameters + ---------- + sapm_data : DataFrame + The output of ``pvsystem.sapm`` + """ + fig, axes = plt.subplots(2, 3, figsize=(16,10), sharex=False, sharey=False, squeeze=False) + plt.subplots_adjust(wspace=.2, hspace=.3) + + ax = axes[0,0] + sapm_data.filter(like='i_').plot(ax=ax) + ax.set_ylabel('Current (A)') + + ax = axes[0,1] + sapm_data.filter(like='v_').plot(ax=ax) + ax.set_ylabel('Voltage (V)') + + ax = axes[0,2] + sapm_data.filter(like='p_').plot(ax=ax) + ax.set_ylabel('Power (W)') + + ax = axes[1,0] + [ax.plot(effective_irradiance, current, label=name) for name, current in + sapm_data.filter(like='i_').iteritems()] + ax.set_ylabel('Current (A)') + ax.set_xlabel('Effective Irradiance') + ax.legend(loc=2) + + ax = axes[1,1] + [ax.plot(effective_irradiance, voltage, label=name) for name, voltage in + sapm_data.filter(like='v_').iteritems()] + ax.set_ylabel('Voltage (V)') + ax.set_xlabel('Effective Irradiance') + ax.legend(loc=4) + + ax = axes[1,2] + ax.plot(effective_irradiance, sapm_data['p_mp'], label='p_mp') + ax.set_ylabel('Power (W)') + ax.set_xlabel('Effective Irradiance') + ax.legend(loc=2) + + # needed to show the time ticks + for ax in axes.flatten(): + for tk in ax.get_xticklabels(): + tk.set_visible(True) + +# %% +plot_sapm(sapm_1, effective_irradiance) + +# %% +# For comparison, here's the SAPM for a sunny, windy, cold version of the same day. + +temps = pvlib.temperature.sapm_cell(total_irrad['poa_global'], 5, 10, **thermal_params) + +sapm_2 = pvlib.pvsystem.sapm(effective_irradiance, temps, module) + +plot_sapm(sapm_2, effective_irradiance) + +# %% +sapm_1['p_mp'].plot(label='30 C, 0 m/s') +sapm_2['p_mp'].plot(label=' 5 C, 10 m/s') +plt.legend() +plt.ylabel('Pmp') +plt.title('Comparison of a hot, calm day and a cold, windy day') + +# %% +# SAPM IV curves +# ^^^^^^^^^^^^^^ +# The IV curve function only calculates the 5 points of the SAPM. We will add arbitrary points in a future release, but for now we just interpolate between the 5 SAPM points. + +import warnings +warnings.simplefilter('ignore', np.RankWarning) + +# %% +def sapm_to_ivframe(sapm_row): + pnt = sapm_row + + ivframe = {'Isc': (pnt['i_sc'], 0), + 'Pmp': (pnt['i_mp'], pnt['v_mp']), + 'Ix': (pnt['i_x'], 0.5*pnt['v_oc']), + 'Ixx': (pnt['i_xx'], 0.5*(pnt['v_oc']+pnt['v_mp'])), + 'Voc': (0, pnt['v_oc'])} + ivframe = pd.DataFrame(ivframe, index=['current', 'voltage']).T + ivframe = ivframe.sort_values(by='voltage') + + return ivframe + +def ivframe_to_ivcurve(ivframe, points=100): + ivfit_coefs = np.polyfit(ivframe['voltage'], ivframe['current'], 30) + fit_voltages = np.linspace(0, ivframe.loc['Voc', 'voltage'], points) + fit_currents = np.polyval(ivfit_coefs, fit_voltages) + + return fit_voltages, fit_currents + +# %% +times = ['2014-04-01 07:00:00', '2014-04-01 08:00:00', '2014-04-01 09:00:00', + '2014-04-01 10:00:00', '2014-04-01 11:00:00', '2014-04-01 12:00:00'] +times.reverse() + +fig, ax = plt.subplots(1, 1, figsize=(12,8)) + +for time in times: + ivframe = sapm_to_ivframe(sapm_1.loc[time]) + + fit_voltages, fit_currents = ivframe_to_ivcurve(ivframe) + + ax.plot(fit_voltages, fit_currents, label=time) + ax.plot(ivframe['voltage'], ivframe['current'], 'ko') + +ax.set_xlabel('Voltage (V)') +ax.set_ylabel('Current (A)') +ax.set_ylim(0, None) +ax.set_title('IV curves at multiple times') +ax.legend() + +# %% +# desoto +# ------ +# The same weather data run through the Desoto model. + +photocurrent, saturation_current, resistance_series, resistance_shunt, nNsVth = ( + pvsystem.calcparams_desoto(total_irrad['poa_global'], + temp_cell=temps, + alpha_sc=cecmodule['alpha_sc'], + a_ref=cecmodule['a_ref'], + I_L_ref=cecmodule['I_L_ref'], + I_o_ref=cecmodule['I_o_ref'], + R_sh_ref=cecmodule['R_sh_ref'], + R_s=cecmodule['R_s']) ) + +# %% +photocurrent.plot() +plt.ylabel('Light current I_L (A)') + +# %% +saturation_current.plot() +plt.ylabel('Saturation current I_0 (A)') + +# %% +print(resistance_series) + +# %% +resistance_shunt.plot() +plt.ylabel('Shunt resistance (ohms)') +plt.ylim(0, 5000) + +# %% +nNsVth.plot() +plt.ylabel('nNsVth') + +# %% +# Single diode model +# ------------------ + +single_diode_out = pvsystem.singlediode(photocurrent, saturation_current, + resistance_series, resistance_shunt, nNsVth) + +# %% +single_diode_out['i_sc'].plot() + +# %% +single_diode_out['v_oc'].plot() + +# %% +single_diode_out['p_mp'].plot() From d33ecb068f8dce498ea06a294f1f11d33e2766bc Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Wed, 2 Aug 2023 21:30:43 +0200 Subject: [PATCH 25/37] Special thanks to black and my patience --- docs/tutorials/pvsystem.py | 419 ++++++++++++++++++++++--------------- 1 file changed, 250 insertions(+), 169 deletions(-) diff --git a/docs/tutorials/pvsystem.py b/docs/tutorials/pvsystem.py index f1a300d396..a226807029 100644 --- a/docs/tutorials/pvsystem.py +++ b/docs/tutorials/pvsystem.py @@ -1,26 +1,32 @@ """ pvsystem tutorial ================= -This tutorial explores the ``pvlib.pvsystem`` module. The module has functions for importing PV module and inverter data and functions for modeling module and inverter performance. +This tutorial explores the :py:mod:`pvlib.pvsystem` module. +The module has functions for importing PV module and inverter data and +functions for modeling module and inverter performance. """ # %% -# 1. [Angle of Incidence Modifiers](#Angle-of-Incidence-Modifiers) -# 2. [Sandia Cell Temp correction](#Sandia-Cell-Temp-correction) -# 3. [Sandia Inverter Model](#Sandia-inverter-model) -# 4. [Sandia Array Performance Model](#SAPM) -# 1. [SAPM IV curves](#SAPM-IV-curves) -# 5. [DeSoto Model](#desoto) -# 6. [Single Diode Model](#Single-diode-model) -# TODO: hyperlinks -# This notebook requires pvlib >= 0.8. See output of ``pd.show_versions()`` to see the other packages that this notebook was last used with. It should work with other Python and Pandas versions. +# 1. `Angle of Incidence Modifiers`_ +# 2. `Sandia Cell Temp correction`_ +# 3. `Sandia Inverter Model`_ +# 4. `Sandia Array Performance Model`_ +# 1. `SAPM IV curves`_ +# 5. `DeSoto Model`_ +# 6. `Single Diode Model`_ +# +# This notebook requires pvlib >= 0.8. +# See output of ``pd.show_versions()`` to see the other packages that this +# notebook was last used with. It should work with other Python and Pandas +# versions. +# # Authors: -# * Will Holmgren (@wholmgren), University of Arizona. 2015, March 2016, November 2016, May 2017. +# +# - Will Holmgren (@wholmgren), University of Arizona. 2015, March 2016, +# November 2016, May 2017. -# built-in python modules -import os -import inspect import datetime +import warnings # scientific python add-ons import numpy as np @@ -29,65 +35,79 @@ # plotting stuff # first line makes the plots appear in the notebook import matplotlib.pyplot as plt + # seaborn makes your plots look better try: import seaborn as sns + sns.set(rc={"figure.figsize": (12, 6)}) except ImportError: - print('We suggest you install seaborn using conda or pip and rerun this cell') + print( + "We suggest you install seaborn using conda or pip and rerun this cell" + ) # finally, we import the pvlib library import pvlib from pvlib import pvsystem, inverter +from pvlib.location import Location # %% # Angle of Incidence Modifiers # ---------------------------- -angles = np.linspace(-180,180,3601) -ashraeiam = pd.Series(pvsystem.iam.ashrae(angles, .05), index=angles) +angles = np.linspace(-180, 180, 3601) +ashraeiam = pd.Series(pvsystem.iam.ashrae(angles, 0.05), index=angles) ashraeiam.plot() -plt.ylabel('ASHRAE modifier') -plt.xlabel('input angle (deg)') +plt.ylabel("ASHRAE modifier") +plt.xlabel("input angle (deg)") # %% -angles = np.linspace(-180,180,3601) +angles = np.linspace(-180, 180, 3601) physicaliam = pd.Series(pvsystem.iam.ashrae(angles), index=angles) physicaliam.plot() -plt.ylabel('physical modifier') -plt.xlabel('input index') +plt.ylabel("physical modifier") +plt.xlabel("input index") # %% plt.figure() -ashraeiam.plot(label='ASHRAE') -physicaliam.plot(label='physical') -plt.ylabel('modifier') -plt.xlabel('input angle (deg)') +ashraeiam.plot(label="ASHRAE") +physicaliam.plot(label="physical") +plt.ylabel("modifier") +plt.xlabel("input angle (deg)") plt.legend() # %% # Sandia Cell Temp correction # --------------------------- -# PV system efficiency can vary by up to 0.5% per degree C, so it's important to accurately model cell temperature. The ``temperature.sapm_cell`` function uses plane of array irradiance, ambient temperature, wind speed, and module and racking type to calculate cell temperature. From King et. al. (2004): -# TODO: EQUATIONS -# $$T_m = E e^{a+b*WS} + T_a$$ +# PV system efficiency can vary by up to 0.5% per degree C, so it's important +# to accurately model cell temperature. +# The :py:func:`pvlib.temperature.sapm_cell` function uses plane of array +# irradiance, ambient temperature, wind speed, and module and racking type to +# calculate cell temperature. From King et. al. (2004): # -# $$T_c = T_m + \frac{E}{E_0} \Delta T$$ +# . math:: +# T_m = E e^{a+b*WS} + T_a +# T_c = T_m + \frac{E}{E_0} \Delta T # -# The $a$, $b$, and $\Delta T$ parameters depend on the module and racking type. Here we use the ``open_rack_glass_glass`` parameters. +# The :math:`a`, :math:`b`, and :math:`\Delta T` parameters depend on the +# module and racking type. +# Here we use the ``open_rack_glass_glass`` parameters. # -# ``sapm_cell`` works with either scalar or vector inputs. +# :py:func:`~pvlib.temperature.sapm_cell` works with either scalar or vector +# inputs. # scalar inputs -thermal_params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm']['open_rack_glass_glass'] -pvlib.temperature.sapm_cell(900, 20, 5, **thermal_params) # irrad, temp, wind +thermal_params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS["sapm"][ + "open_rack_glass_glass" +] +pvlib.temperature.sapm_cell(900, 20, 5, **thermal_params) # irrad, temp, wind # %% # vector inputs -times = pd.date_range(start='2015-01-01', end='2015-01-02', freq='12H') +times = pd.date_range(start="2015-01-01", end="2015-01-02", freq="12H") temps = pd.Series([0, 10, 5], index=times) irrads = pd.Series([0, 500, 0], index=times) winds = pd.Series([10, 5, 0], index=times) @@ -98,67 +118,77 @@ # %% # Cell temperature as a function of wind speed. -wind = np.linspace(0,20,21) -temps = pd.Series(pvlib.temperature.sapm_cell(900, 20, wind, **thermal_params), index=wind) +wind = np.linspace(0, 20, 21) +temps = pd.Series( + pvlib.temperature.sapm_cell(900, 20, wind, **thermal_params), index=wind +) temps.plot() -plt.xlabel('wind speed (m/s)') -plt.ylabel('temperature (deg C)'); +plt.xlabel("wind speed (m/s)") +plt.ylabel("temperature (deg C)") # %% # Cell temperature as a function of ambient temperature. -atemp = np.linspace(-20,50,71) -temps = pd.Series(pvlib.temperature.sapm_cell(900, atemp, 2, **thermal_params), index=atemp) +atemp = np.linspace(-20, 50, 71) +temps = pd.Series( + pvlib.temperature.sapm_cell(900, atemp, 2, **thermal_params), index=atemp +) temps.plot() -plt.xlabel('ambient temperature (deg C)') -plt.ylabel('temperature (deg C)') +plt.xlabel("ambient temperature (deg C)") +plt.ylabel("temperature (deg C)") # %% # Cell temperature as a function of incident irradiance. -irrad = np.linspace(0,1000,101) -temps = pd.Series(pvlib.temperature.sapm_cell(irrad, 20, 2, **thermal_params), index=irrad) +irrad = np.linspace(0, 1000, 101) +temps = pd.Series( + pvlib.temperature.sapm_cell(irrad, 20, 2, **thermal_params), index=irrad +) temps.plot() -plt.xlabel('incident irradiance (W/m**2)') -plt.ylabel('temperature (deg C)') +plt.xlabel("incident irradiance (W/m**2)") +plt.ylabel("temperature (deg C)") # %% # Cell temperature for different module and racking types. -models = ['open_rack_glass_glass', - 'close_mount_glass_glass', - 'open_rack_glass_polymer', - 'insulated_back_glass_polymer'] +models = [ + "open_rack_glass_glass", + "close_mount_glass_glass", + "open_rack_glass_polymer", + "insulated_back_glass_polymer", +] temps = pd.Series(dtype=float) for model in models: - params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm'][model] + params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS["sapm"][model] temps[model] = pvlib.temperature.sapm_cell(1000, 20, 5, **params) -temps.plot(kind='bar') -plt.ylabel('temperature (deg C)') +temps.plot(kind="bar") +plt.ylabel("temperature (deg C)") # %% # Sandia-inverter-model # --------------------- -inverters = pvsystem.retrieve_sam('sandiainverter') +inverters = pvsystem.retrieve_sam("sandiainverter") inverters # %% -vdcs = pd.Series(np.linspace(0,50,51)) -idcs = pd.Series(np.linspace(0,11,110)) +vdcs = pd.Series(np.linspace(0, 50, 51)) +idcs = pd.Series(np.linspace(0, 11, 110)) pdcs = idcs * vdcs -pacs = inverter.sandia(vdcs, pdcs, inverters['ABB__MICRO_0_25_I_OUTD_US_208__208V_']) -#pacs.plot() +pacs = inverter.sandia( + vdcs, pdcs, inverters["ABB__MICRO_0_25_I_OUTD_US_208__208V_"] +) +# pacs.plot() plt.plot(pdcs, pacs) -plt.ylabel('ac power') -plt.xlabel('dc power') +plt.ylabel("ac power") +plt.xlabel("dc power") # %% # Need to put more effort into describing this function. [TODO ¿¿??] @@ -166,20 +196,24 @@ # %% # DC model # -------- -# This example shows use of the Desoto module performance model and the Sandia Array Performance Model (SAPM). Both models reuire a set of parameter values which can be read from SAM databases for modules. +# This example shows use of the Desoto module performance model and the Sandia +# Array Performance Model (SAPM). Both models reuire a set of parameter values +# which can be read from SAM databases for modules. # -# Foe the Desoto model, the database content is returned by supplying the keyword `cecmod` to `pvsystem.retrievesam`. +# Foe the Desoto model, the database content is returned by supplying the +# keyword `cecmod` to `pvsystem.retrievesam`. -cec_modules = pvsystem.retrieve_sam('cecmod') +cec_modules = pvsystem.retrieve_sam("cecmod") cec_modules -cecmodule = cec_modules.Canadian_Solar_Inc__CS5P_220M +cecmodule = cec_modules.Canadian_Solar_Inc__CS5P_220M cecmodule # %% -# The Sandia module database is read by the same function with the keyword `SandiaMod`. +# The Sandia module database is read by the same function with the keyword +# `SandiaMod`. -sandia_modules = pvsystem.retrieve_sam(name='SandiaMod') +sandia_modules = pvsystem.retrieve_sam(name="SandiaMod") sandia_modules sandia_module = sandia_modules.Canadian_Solar_CS5P_220M___2009_ @@ -188,17 +222,19 @@ # %% # Generate some irradiance data for modeling. -from pvlib import clearsky -from pvlib import irradiance -from pvlib import atmosphere -from pvlib.location import Location - -tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson') - -times_loc = pd.date_range(start=datetime.datetime(2014,4,1), end=datetime.datetime(2014,4,2), freq='30s', tz=tus.tz) -solpos = pvlib.solarposition.get_solarposition(times_loc, tus.latitude, tus.longitude) +tus = Location(32.2, -111, "US/Arizona", 700, "Tucson") + +times_loc = pd.date_range( + start=datetime.datetime(2014, 4, 1), + end=datetime.datetime(2014, 4, 2), + freq="30s", + tz=tus.tz, +) +solpos = pvlib.solarposition.get_solarposition( + times_loc, tus.latitude, tus.longitude +) dni_extra = pvlib.irradiance.get_extra_radiation(times_loc) -airmass = pvlib.atmosphere.get_relative_airmass(solpos['apparent_zenith']) +airmass = pvlib.atmosphere.get_relative_airmass(solpos["apparent_zenith"]) pressure = pvlib.atmosphere.alt2pres(tus.altitude) am_abs = pvlib.atmosphere.get_absolute_airmass(airmass, pressure) cs = tus.get_clearsky(times_loc) @@ -206,76 +242,93 @@ surface_tilt = tus.latitude surface_azimuth = 180 # pointing south -aoi = pvlib.irradiance.aoi(surface_tilt, surface_azimuth, - solpos['apparent_zenith'], solpos['azimuth']) -total_irrad = pvlib.irradiance.get_total_irradiance(surface_tilt, - surface_azimuth, - solpos['apparent_zenith'], - solpos['azimuth'], - cs['dni'], cs['ghi'], cs['dhi'], - dni_extra=dni_extra, - model='haydavies') - -# %% -# Now we can run the module parameters and the irradiance data through the SAPM functions. +aoi = pvlib.irradiance.aoi( + surface_tilt, surface_azimuth, solpos["apparent_zenith"], solpos["azimuth"] +) +total_irrad = pvlib.irradiance.get_total_irradiance( + surface_tilt, + surface_azimuth, + solpos["apparent_zenith"], + solpos["azimuth"], + cs["dni"], + cs["ghi"], + cs["dhi"], + dni_extra=dni_extra, + model="haydavies", +) + +# %% +# Now we can run the module parameters and the irradiance data through the SAPM +# functions. module = sandia_module # a sunny, calm, and hot day in the desert -thermal_params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm']['open_rack_glass_glass'] -temps = pvlib.temperature.sapm_cell(total_irrad['poa_global'], 30, 0, **thermal_params) +thermal_params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS["sapm"][ + "open_rack_glass_glass" +] +temps = pvlib.temperature.sapm_cell( + total_irrad["poa_global"], 30, 0, **thermal_params +) effective_irradiance = pvlib.pvsystem.sapm_effective_irradiance( - total_irrad['poa_direct'], total_irrad['poa_diffuse'], - am_abs, aoi, module) + total_irrad["poa_direct"], total_irrad["poa_diffuse"], am_abs, aoi, module +) sapm_1 = pvlib.pvsystem.sapm(effective_irradiance, temps, module) sapm_1.plot() + # %% def plot_sapm(sapm_data, effective_irradiance): """ Makes a nice figure with the SAPM data. - + Parameters ---------- sapm_data : DataFrame The output of ``pvsystem.sapm`` """ - fig, axes = plt.subplots(2, 3, figsize=(16,10), sharex=False, sharey=False, squeeze=False) - plt.subplots_adjust(wspace=.2, hspace=.3) - - ax = axes[0,0] - sapm_data.filter(like='i_').plot(ax=ax) - ax.set_ylabel('Current (A)') - - ax = axes[0,1] - sapm_data.filter(like='v_').plot(ax=ax) - ax.set_ylabel('Voltage (V)') - - ax = axes[0,2] - sapm_data.filter(like='p_').plot(ax=ax) - ax.set_ylabel('Power (W)') - - ax = axes[1,0] - [ax.plot(effective_irradiance, current, label=name) for name, current in - sapm_data.filter(like='i_').iteritems()] - ax.set_ylabel('Current (A)') - ax.set_xlabel('Effective Irradiance') + fig, axes = plt.subplots( + 2, 3, figsize=(16, 10), sharex=False, sharey=False, squeeze=False + ) + plt.subplots_adjust(wspace=0.2, hspace=0.3) + + ax = axes[0, 0] + sapm_data.filter(like="i_").plot(ax=ax) + ax.set_ylabel("Current (A)") + + ax = axes[0, 1] + sapm_data.filter(like="v_").plot(ax=ax) + ax.set_ylabel("Voltage (V)") + + ax = axes[0, 2] + sapm_data.filter(like="p_").plot(ax=ax) + ax.set_ylabel("Power (W)") + + ax = axes[1, 0] + [ + ax.plot(effective_irradiance, current, label=name) + for name, current in sapm_data.filter(like="i_").iteritems() + ] + ax.set_ylabel("Current (A)") + ax.set_xlabel("Effective Irradiance") ax.legend(loc=2) - ax = axes[1,1] - [ax.plot(effective_irradiance, voltage, label=name) for name, voltage in - sapm_data.filter(like='v_').iteritems()] - ax.set_ylabel('Voltage (V)') - ax.set_xlabel('Effective Irradiance') + ax = axes[1, 1] + [ + ax.plot(effective_irradiance, voltage, label=name) + for name, voltage in sapm_data.filter(like="v_").iteritems() + ] + ax.set_ylabel("Voltage (V)") + ax.set_xlabel("Effective Irradiance") ax.legend(loc=4) - ax = axes[1,2] - ax.plot(effective_irradiance, sapm_data['p_mp'], label='p_mp') - ax.set_ylabel('Power (W)') - ax.set_xlabel('Effective Irradiance') + ax = axes[1, 2] + ax.plot(effective_irradiance, sapm_data["p_mp"], label="p_mp") + ax.set_ylabel("Power (W)") + ax.set_xlabel("Effective Irradiance") ax.legend(loc=2) # needed to show the time ticks @@ -283,60 +336,76 @@ def plot_sapm(sapm_data, effective_irradiance): for tk in ax.get_xticklabels(): tk.set_visible(True) + # %% plot_sapm(sapm_1, effective_irradiance) # %% -# For comparison, here's the SAPM for a sunny, windy, cold version of the same day. +# For comparison, here's the SAPM for a sunny, windy, cold version of +# the same day. -temps = pvlib.temperature.sapm_cell(total_irrad['poa_global'], 5, 10, **thermal_params) +temps = pvlib.temperature.sapm_cell( + total_irrad["poa_global"], 5, 10, **thermal_params +) sapm_2 = pvlib.pvsystem.sapm(effective_irradiance, temps, module) plot_sapm(sapm_2, effective_irradiance) # %% -sapm_1['p_mp'].plot(label='30 C, 0 m/s') -sapm_2['p_mp'].plot(label=' 5 C, 10 m/s') +sapm_1["p_mp"].plot(label="30 C, 0 m/s") +sapm_2["p_mp"].plot(label=" 5 C, 10 m/s") plt.legend() -plt.ylabel('Pmp') -plt.title('Comparison of a hot, calm day and a cold, windy day') +plt.ylabel("Pmp") +plt.title("Comparison of a hot, calm day and a cold, windy day") # %% # SAPM IV curves # ^^^^^^^^^^^^^^ -# The IV curve function only calculates the 5 points of the SAPM. We will add arbitrary points in a future release, but for now we just interpolate between the 5 SAPM points. +# The IV curve function only calculates the 5 points of the SAPM. +# We will add arbitrary points in a future release, but for now we just +# interpolate between the 5 SAPM points. + +warnings.simplefilter("ignore", np.RankWarning) -import warnings -warnings.simplefilter('ignore', np.RankWarning) # %% def sapm_to_ivframe(sapm_row): pnt = sapm_row - ivframe = {'Isc': (pnt['i_sc'], 0), - 'Pmp': (pnt['i_mp'], pnt['v_mp']), - 'Ix': (pnt['i_x'], 0.5*pnt['v_oc']), - 'Ixx': (pnt['i_xx'], 0.5*(pnt['v_oc']+pnt['v_mp'])), - 'Voc': (0, pnt['v_oc'])} - ivframe = pd.DataFrame(ivframe, index=['current', 'voltage']).T - ivframe = ivframe.sort_values(by='voltage') - + ivframe = { + "Isc": (pnt["i_sc"], 0), + "Pmp": (pnt["i_mp"], pnt["v_mp"]), + "Ix": (pnt["i_x"], 0.5 * pnt["v_oc"]), + "Ixx": (pnt["i_xx"], 0.5 * (pnt["v_oc"] + pnt["v_mp"])), + "Voc": (0, pnt["v_oc"]), + } + ivframe = pd.DataFrame(ivframe, index=["current", "voltage"]).T + ivframe = ivframe.sort_values(by="voltage") + return ivframe + def ivframe_to_ivcurve(ivframe, points=100): - ivfit_coefs = np.polyfit(ivframe['voltage'], ivframe['current'], 30) - fit_voltages = np.linspace(0, ivframe.loc['Voc', 'voltage'], points) + ivfit_coefs = np.polyfit(ivframe["voltage"], ivframe["current"], 30) + fit_voltages = np.linspace(0, ivframe.loc["Voc", "voltage"], points) fit_currents = np.polyval(ivfit_coefs, fit_voltages) - + return fit_voltages, fit_currents + # %% -times = ['2014-04-01 07:00:00', '2014-04-01 08:00:00', '2014-04-01 09:00:00', - '2014-04-01 10:00:00', '2014-04-01 11:00:00', '2014-04-01 12:00:00'] +times = [ + "2014-04-01 07:00:00", + "2014-04-01 08:00:00", + "2014-04-01 09:00:00", + "2014-04-01 10:00:00", + "2014-04-01 11:00:00", + "2014-04-01 12:00:00", +] times.reverse() -fig, ax = plt.subplots(1, 1, figsize=(12,8)) +fig, ax = plt.subplots(1, 1, figsize=(12, 8)) for time in times: ivframe = sapm_to_ivframe(sapm_1.loc[time]) @@ -344,12 +413,12 @@ def ivframe_to_ivcurve(ivframe, points=100): fit_voltages, fit_currents = ivframe_to_ivcurve(ivframe) ax.plot(fit_voltages, fit_currents, label=time) - ax.plot(ivframe['voltage'], ivframe['current'], 'ko') - -ax.set_xlabel('Voltage (V)') -ax.set_ylabel('Current (A)') + ax.plot(ivframe["voltage"], ivframe["current"], "ko") + +ax.set_xlabel("Voltage (V)") +ax.set_ylabel("Current (A)") ax.set_ylim(0, None) -ax.set_title('IV curves at multiple times') +ax.set_title("IV curves at multiple times") ax.legend() # %% @@ -357,48 +426,60 @@ def ivframe_to_ivcurve(ivframe, points=100): # ------ # The same weather data run through the Desoto model. -photocurrent, saturation_current, resistance_series, resistance_shunt, nNsVth = ( - pvsystem.calcparams_desoto(total_irrad['poa_global'], - temp_cell=temps, - alpha_sc=cecmodule['alpha_sc'], - a_ref=cecmodule['a_ref'], - I_L_ref=cecmodule['I_L_ref'], - I_o_ref=cecmodule['I_o_ref'], - R_sh_ref=cecmodule['R_sh_ref'], - R_s=cecmodule['R_s']) ) +( + photocurrent, + saturation_current, + resistance_series, + resistance_shunt, + nNsVth, +) = pvsystem.calcparams_desoto( + total_irrad["poa_global"], + temp_cell=temps, + alpha_sc=cecmodule["alpha_sc"], + a_ref=cecmodule["a_ref"], + I_L_ref=cecmodule["I_L_ref"], + I_o_ref=cecmodule["I_o_ref"], + R_sh_ref=cecmodule["R_sh_ref"], + R_s=cecmodule["R_s"], +) # %% photocurrent.plot() -plt.ylabel('Light current I_L (A)') +plt.ylabel("Light current I_L (A)") # %% saturation_current.plot() -plt.ylabel('Saturation current I_0 (A)') +plt.ylabel("Saturation current I_0 (A)") # %% print(resistance_series) # %% resistance_shunt.plot() -plt.ylabel('Shunt resistance (ohms)') +plt.ylabel("Shunt resistance (ohms)") plt.ylim(0, 5000) # %% nNsVth.plot() -plt.ylabel('nNsVth') +plt.ylabel("nNsVth") # %% # Single diode model # ------------------ -single_diode_out = pvsystem.singlediode(photocurrent, saturation_current, - resistance_series, resistance_shunt, nNsVth) +single_diode_out = pvsystem.singlediode( + photocurrent, + saturation_current, + resistance_series, + resistance_shunt, + nNsVth, +) # %% -single_diode_out['i_sc'].plot() +single_diode_out["i_sc"].plot() # %% -single_diode_out['v_oc'].plot() +single_diode_out["v_oc"].plot() # %% -single_diode_out['p_mp'].plot() +single_diode_out["p_mp"].plot() From e43f931cd148a28bad996c60fa5456159dd637de Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Thu, 3 Aug 2023 11:52:06 +0200 Subject: [PATCH 26/37] Rename to 'Tutorials' --- docs/tutorials/README.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/tutorials/README.rst b/docs/tutorials/README.rst index b34b6c6189..f252b8ec32 100644 --- a/docs/tutorials/README.rst +++ b/docs/tutorials/README.rst @@ -1,7 +1,7 @@ .. _tutorials_gallery: -Tutorials Gallery -================= +Tutorials +========= This gallery shows tutorials about pvlib. From b42774680cd117ccd178282a5e49dd79ebb863fd Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Thu, 3 Aug 2023 11:59:51 +0200 Subject: [PATCH 27/37] Create tmy_and_diffuse_irrad_models.py --- .../tutorials/tmy_and_diffuse_irrad_models.py | 249 ++++++++++++++++++ 1 file changed, 249 insertions(+) create mode 100644 docs/tutorials/tmy_and_diffuse_irrad_models.py diff --git a/docs/tutorials/tmy_and_diffuse_irrad_models.py b/docs/tutorials/tmy_and_diffuse_irrad_models.py new file mode 100644 index 0000000000..d650241a81 --- /dev/null +++ b/docs/tutorials/tmy_and_diffuse_irrad_models.py @@ -0,0 +1,249 @@ +""" +TMY data and diffuse irradiance models +====================================== +This tutorial explores using TMY data as inputs to different plane of array +diffuse irradiance models. +""" + +# %% +# This tutorial requires pvlib > 0.6.0. +# +# Authors: +# +# - Rob Andrews (@Calama-Consulting), Heliolytics, June 2014 +# - Will Holmgren (@wholmgren), University of Arizona, July 2015, March 2016, +# August 2018 + +# Setup +# ----- +# See the :ref:`sphx_glr_gallery_tutorials_tmy_to_power.py` tutorial for more +# detailed explanations for the initial setup + +# %% +import os +import inspect + +import pandas as pd +import matplotlib.pyplot as plt + +import pvlib + + +# %% +# TODO: :pull:`1763` + +# Find the absolute file path to your pvlib installation +pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib))) + +# absolute path to a data file +datapath = os.path.join(pvlib_abspath, "data", "703165TY.csv") + +# read tmy data with year values coerced to a single year +tmy_data, meta = pvlib.iotools.read_tmy3(datapath, coerce_year=2015) +tmy_data.index.name = "Time" + +# TMY data seems to be given as hourly data with time stamp at the end +# shift the index 30 Minutes back for calculation of sun positions +tmy_data = tmy_data.shift(freq="-30Min")["2015"] + + +# %% +tmy_data.GHI.plot() +plt.ylabel("Irradiance (W/m**2)") + + +# %% +tmy_data.DHI.plot() +plt.ylabel("Irradiance (W/m**2)") + + +# %% +surface_tilt = 30 +surface_azimuth = ( + 180 # pvlib uses 0=North, 90=East, 180=South, 270=West convention +) +albedo = 0.2 + +# create pvlib Location object based on meta data +sand_point = pvlib.location.Location( + meta["latitude"], + meta["longitude"], + tz="US/Alaska", + altitude=meta["altitude"], + name=meta["Name"].replace('"', ""), +) +print(sand_point) + + +# %% +solpos = pvlib.solarposition.get_solarposition( + tmy_data.index, sand_point.latitude, sand_point.longitude +) + +solpos.plot() + + +# %% +# the extraradiation function returns a simple numpy array +# instead of a nice pandas series. We will change this +# in a future version +dni_extra = pvlib.irradiance.get_extra_radiation(tmy_data.index) +dni_extra = pd.Series(dni_extra, index=tmy_data.index) + +dni_extra.plot() +plt.ylabel("Extra terrestrial radiation (W/m**2)") + + +# %% +airmass = pvlib.atmosphere.get_relative_airmass(solpos["apparent_zenith"]) + +airmass.plot() +plt.ylabel("Airmass") + +# %% +# Diffuse irradiance models +# ------------------------- + +# Make an empty pandas DataFrame for the results. +diffuse_irrad = pd.DataFrame(index=tmy_data.index) + + +# %% +models = ["Perez", "Hay-Davies", "Isotropic", "King", "Klucher", "Reindl"] + + +# %% +# Perez +# ^^^^^ + +diffuse_irrad["Perez"] = pvlib.irradiance.perez( + surface_tilt, + surface_azimuth, + dhi=tmy_data.DHI, + dni=tmy_data.DNI, + dni_extra=dni_extra, + solar_zenith=solpos.apparent_zenith, + solar_azimuth=solpos.azimuth, + airmass=airmass, +) + + +# %% +# HayDavies +# ^^^^^^^^^ + +diffuse_irrad["Hay-Davies"] = pvlib.irradiance.haydavies( + surface_tilt, + surface_azimuth, + dhi=tmy_data.DHI, + dni=tmy_data.DNI, + dni_extra=dni_extra, + solar_zenith=solpos.apparent_zenith, + solar_azimuth=solpos.azimuth, +) + + +# %% +# Isotropic +# ^^^^^^^^^ + +diffuse_irrad["Isotropic"] = pvlib.irradiance.isotropic( + surface_tilt, dhi=tmy_data.DHI +) + + +# %% +# King Diffuse model +# ^^^^^^^^^^^^^^^^^^ + +diffuse_irrad["King"] = pvlib.irradiance.king( + surface_tilt, + dhi=tmy_data.DHI, + ghi=tmy_data.GHI, + solar_zenith=solpos.apparent_zenith, +) + + +# %% +# Klucher Model +# ^^^^^^^^^^^^^ + +diffuse_irrad["Klucher"] = pvlib.irradiance.klucher( + surface_tilt, + surface_azimuth, + dhi=tmy_data.DHI, + ghi=tmy_data.GHI, + solar_zenith=solpos.apparent_zenith, + solar_azimuth=solpos.azimuth, +) + + +# %% +# Reindl +# ^^^^^^ + +diffuse_irrad["Reindl"] = pvlib.irradiance.reindl( + surface_tilt, + surface_azimuth, + dhi=tmy_data.DHI, + dni=tmy_data.DNI, + ghi=tmy_data.GHI, + dni_extra=dni_extra, + solar_zenith=solpos.apparent_zenith, + solar_azimuth=solpos.azimuth, +) + +# %% +# Calculate yearly, monthly, daily sums. + +yearly = diffuse_irrad.resample("A").sum().dropna().squeeze() / 1000.0 # kWh +monthly = diffuse_irrad.resample("M", kind="period").sum() / 1000.0 +daily = diffuse_irrad.resample("D").sum() / 1000.0 + + +# %% +# Plot Results +# ------------ + +ax = diffuse_irrad.plot(title="In-plane diffuse irradiance", alpha=0.75, lw=1) +ax.set_ylim(0, 800) +ylabel = ax.set_ylabel("Diffuse Irradiance [W]") +plt.legend() + + +# %% +diffuse_irrad.describe() + + +# %% +diffuse_irrad.dropna().plot(kind="density") + +# %% +# Daily + +ax_daily = daily.tz_convert("UTC").plot(title="Daily diffuse irradiation") +ylabel = ax_daily.set_ylabel("Irradiation [kWh]") + + +# %% +# Monthly + +ax_monthly = monthly.plot( + title="Monthly average diffuse irradiation", kind="bar" +) +ylabel = ax_monthly.set_ylabel("Irradiation [kWh]") + + +# %% +# Yearly + +yearly.plot(kind="barh") + + +# %% +# Compute the mean deviation from measured for each model and display as a +# function of the model + +mean_yearly = yearly.mean() +yearly_mean_deviation = (yearly - mean_yearly) / yearly * 100.0 +yearly_mean_deviation.plot(kind="bar") From 77cbd41156add0b0c62584735026679ba5ebdf34 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Thu, 3 Aug 2023 12:43:13 +0200 Subject: [PATCH 28/37] Create tmy_to_power.py --- docs/tutorials/tmy_to_power.py | 587 +++++++++++++++++++++++++++++++++ 1 file changed, 587 insertions(+) create mode 100644 docs/tutorials/tmy_to_power.py diff --git a/docs/tutorials/tmy_to_power.py b/docs/tutorials/tmy_to_power.py new file mode 100644 index 0000000000..97936b0548 --- /dev/null +++ b/docs/tutorials/tmy_to_power.py @@ -0,0 +1,587 @@ +""" +TMY to Power Tutorial +===================== +This tutorial will walk through the process of going from TMY data to AC power +using the SAPM. +""" + +# %% +# Table of contents: +# 1. `Setup`_ +# 2. `Load TMY data`_ +# 3. `Calculate modeling intermediates`_ +# 4. `DC power using SAPM`_ +# 5. `AC power using SAPM`_ +# +# This tutorial requires pvlib >= 0.6.0. +# +# Authors: +# - Will Holmgren (@wholmgren), University of Arizona, July 2015, March 2016, +# August 2018. +# - Rob Andrews (@Calama-Consulting), Heliolytics, June 2014 + +# %% +# Setup +# ----- +# These are just your standard interactive scientific python imports that +# you'll get very used to using. + +import os +import inspect + +import numpy as np +import pandas as pd +from scipy import optimize + +import matplotlib.pyplot as plt +import matplotlib as mpl + +import pvlib + + +# %% +# Load TMY data +# ------------- +# pvlib comes with a couple of TMY files, and we'll use one of them for +# simplicity. You could also load a file from disk, or specify a url. +# See this NREL website for a list of TMY files: +# +# http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/tmy3/by_state_and_city.html + +# Find the absolute file path to your pvlib installation +pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib))) + +# absolute path to a data file +datapath = os.path.join(pvlib_abspath, "data", "703165TY.csv") + +# read tmy data with year values coerced to a single year +tmy_data, meta = pvlib.iotools.read_tmy3(datapath, coerce_year=2015) +tmy_data.index.name = "Time" + +# TMY data seems to be given as hourly data with time stamp at the end +# shift the index 30 Minutes back for calculation of sun positions +tmy_data = tmy_data.shift(freq="-30Min")["2015"] + + +# %% +# The file handling above looks complicated because we're trying to account +# for the many different ways that people will run this notebook on their +# systems. +# You can just put a simple string path into the +# :py:func:`~pvlib.iotools.read_tmy3` function if you know where the file is. + +# %% +# Let's look at the imported version of the TMY file. + +tmy_data.head() + + +# %% +# This is a ``pandas DataFrame`` object. It has a lot of great properties +# that are beyond the scope of our tutorials. + +# Plot the GHI data from the TMY file + +tmy_data["GHI"].plot() +plt.ylabel("Irradiance (W/m**2)") + + +# %% +# Calculate modeling intermediates +# -------------------------------- +# Before we can calculate power for all times in the TMY file, +# we will need to calculate: +# * solar position +# * extra terrestrial radiation +# * airmass +# * angle of incidence +# * POA sky and ground diffuse radiation +# * cell and module temperatures + +# First, define some PV system parameters. + +surface_tilt = 30 +surface_azimuth = ( + 180 # pvlib uses 0=North, 90=East, 180=South, 270=West convention +) +albedo = 0.2 + +# create pvlib Location object based on meta data +sand_point = pvlib.location.Location( + meta["latitude"], + meta["longitude"], + tz="US/Alaska", + altitude=meta["altitude"], + name=meta["Name"].replace('"', ""), +) +print(sand_point) + + +# %% +# Solar position +# ^^^^^^^^^^^^^^ +# Calculate the solar position for all times in the TMY file. +# +# The default solar position algorithm is based on Reda and Andreas (2004). +# Our implementation is pretty fast, but you can make it even faster +# if you install ```numba`` `_ +# and use add ``method='nrel_numba'`` to the function call below. + +solpos = pvlib.solarposition.get_solarposition( + tmy_data.index, sand_point.latitude, sand_point.longitude +) + +solpos.plot() + + +# The funny looking jump in the azimuth is just due to the coarse time +# sampling in the TMY file. + +# %% +# DNI ET +# ^^^^^^ +# Calculate extra terrestrial radiation. This is needed for many +# plane of array diffuse irradiance models. + +# the extraradiation function returns a simple numpy array +# instead of a nice pandas series. We will change this +# in a future version +dni_extra = pvlib.irradiance.get_extra_radiation(tmy_data.index) +dni_extra = pd.Series(dni_extra, index=tmy_data.index) + +dni_extra.plot() +plt.ylabel("Extra terrestrial radiation (W/m**2)") + + +# %% +# Airmass +# ^^^^^^^ +# Calculate airmass. Lots of model options here, +# see the :py:mod:`atmosphere` module tutorial for more details. + +airmass = pvlib.atmosphere.get_relative_airmass(solpos["apparent_zenith"]) + +airmass.plot() +plt.ylabel("Airmass") + + +# The funny appearance is due to aliasing and setting invalid numbers +# equal to ``NaN``. +# Replot just a day or two and you'll see that the numbers are right. + +# %% +# POA sky diffuse +# ^^^^^^^^^^^^^^^ +# Use the Hay Davies model to calculate the plane of array +# diffuse sky radiation. +# See the :py:mod:`irradiance` module tutorial for comparisons of different +# models. + +poa_sky_diffuse = pvlib.irradiance.haydavies( + surface_tilt, + surface_azimuth, + tmy_data["DHI"], + tmy_data["DNI"], + dni_extra, + solpos["apparent_zenith"], + solpos["azimuth"], +) + +poa_sky_diffuse.plot() +plt.ylabel("Irradiance (W/m**2)") + + +# %% +# POA ground diffuse +# ^^^^^^^^^^^^^^^^^^ +# Calculate ground diffuse. We specified the albedo above. +# You could have also provided a string to the ``surface_type`` +# keyword argument. + +poa_ground_diffuse = pvlib.irradiance.get_ground_diffuse( + surface_tilt, tmy_data["GHI"], albedo=albedo +) + +poa_ground_diffuse.plot() +plt.ylabel("Irradiance (W/m**2)") + + +# %% +# AOI +# ^^^ +# Calculate AOI + +aoi = pvlib.irradiance.aoi( + surface_tilt, surface_azimuth, solpos["apparent_zenith"], solpos["azimuth"] +) + +aoi.plot() +plt.ylabel("Angle of incidence (deg)") + + +# Note that AOI has values greater than 90 deg. This is ok. + +# %% +# POA total +# ^^^^^^^^^ +# Calculate POA irradiance + +poa_irrad = pvlib.irradiance.poa_components( + aoi, tmy_data["DNI"], poa_sky_diffuse, poa_ground_diffuse +) + +poa_irrad.plot() +plt.ylabel("Irradiance (W/m**2)") +plt.title("POA Irradiance") + + +# %% +# Cell temperature +# ^^^^^^^^^^^^^^^^ +# Calculate pv cell temperature + +thermal_params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS["sapm"][ + "open_rack_glass_polymer" +] +pvtemps = pvlib.temperature.sapm_cell( + poa_irrad["poa_global"], + tmy_data["DryBulb"], + tmy_data["Wspd"], + **thermal_params +) + +pvtemps.plot() +plt.ylabel("Temperature (C)") + + +# %% +# DC power using SAPM +# ------------------- +# Get module data. + +sandia_modules = pvlib.pvsystem.retrieve_sam(name="SandiaMod") + + +# %% +# Choose a particular module + +sandia_module = sandia_modules.Canadian_Solar_CS5P_220M___2009_ +sandia_module + + +# %% +# Calculate the effective irradiance + +effective_irradiance = pvlib.pvsystem.sapm_effective_irradiance( + poa_irrad.poa_direct, poa_irrad.poa_diffuse, airmass, aoi, sandia_module +) + + +# %% +# Run the SAPM using the parameters we calculated above. + +sapm_out = pvlib.pvsystem.sapm(effective_irradiance, pvtemps, sandia_module) +print(sapm_out.head()) + +sapm_out[["p_mp"]].plot() +plt.ylabel("DC Power (W)") + + +# %% +# DC power using single diode +# --------------------------- + +cec_modules = pvlib.pvsystem.retrieve_sam(name="CECMod") +cec_module = cec_modules.Canadian_Solar_Inc__CS5P_220M + +d = { + k: cec_module[k] + for k in ["a_ref", "I_L_ref", "I_o_ref", "R_sh_ref", "R_s"] +} + +( + photocurrent, + saturation_current, + resistance_series, + resistance_shunt, + nNsVth, +) = pvlib.pvsystem.calcparams_desoto( + poa_irrad.poa_global, + pvtemps, + cec_module["alpha_sc"], + EgRef=1.121, + dEgdT=-0.0002677, + **d +) + +single_diode_out = pvlib.pvsystem.singlediode( + photocurrent, + saturation_current, + resistance_series, + resistance_shunt, + nNsVth, +) + + +# %% +single_diode_out[["p_mp"]].plot() +plt.ylabel("DC Power (W)") + + +# %% +# AC power using SAPM +# ------------------- +# Get the inverter database from the web + +sapm_inverters = pvlib.pvsystem.retrieve_sam("sandiainverter") + + +# Choose a particular inverter + +sapm_inverter = sapm_inverters["ABB__MICRO_0_25_I_OUTD_US_208__208V_"] +sapm_inverter + + +# %% +p_acs = pd.DataFrame() +p_acs["sapm"] = pvlib.inverter.sandia( + sapm_out.v_mp, sapm_out.p_mp, sapm_inverter +) +p_acs["sd"] = pvlib.inverter.sandia( + single_diode_out.v_mp, single_diode_out.p_mp, sapm_inverter +) + +p_acs.plot() +plt.ylabel("AC Power (W)") + + +# %% +diff = p_acs["sapm"] - p_acs["sd"] +diff.plot() +plt.ylabel("SAPM - SD Power (W)") + + +# %% +# Plot just a few days. + +p_acs.loc["2015-07-05":"2015-07-06"].plot() + + +# %% +# Some statistics on the AC power +p_acs.describe() + + +# %% +p_acs.sum() + + +# %% +# create data for a y=x line +p_ac_max = p_acs.max().max() +yxline = np.arange(0, p_ac_max) + +fig = plt.figure(figsize=(12, 12)) +ax = fig.add_subplot(111, aspect="equal") +sc = ax.scatter(p_acs["sd"], p_acs["sapm"], c=poa_irrad.poa_global, alpha=1) +ax.plot(yxline, yxline, "r", linewidth=3) +ax.set_xlim(0, None) +ax.set_ylim(0, None) +ax.set_xlabel("Single Diode model") +ax.set_ylabel("Sandia model") +fig.colorbar(sc, label="POA Global (W/m**2)") + + +# %% +# We can change the value of color value ``c`` to see the sensitivity +# of model accuracy to measured meterological conditions. +# It can be useful to define a simple plotting function for this +# kind of exploratory analysis. + + +def sapm_sd_scatter(c_data, label=None, **kwargs): + """Display a scatter plot of SAPM p_ac vs. single diode p_ac. + + You need to re-execute this cell if you re-run the p_ac calculation. + + Parameters + ---------- + c_data : array-like + Determines the color of each point on the scatter plot. + Must be same length as p_acs. + + kwargs passed to ``scatter``. + + Returns + ------- + tuple of fig, ax objects + """ + + fig = plt.figure(figsize=(12, 12)) + ax = fig.add_subplot(111, aspect="equal") + sc = ax.scatter(p_acs["sd"], p_acs["sapm"], c=c_data, alpha=1, **kwargs) + ax.plot(yxline, yxline, "r", linewidth=3) + ax.set_xlim(0, None) + ax.set_ylim(0, None) + ax.set_xlabel("Single diode model power (W)") + ax.set_ylabel("Sandia model power (W)") + fig.colorbar(sc, label="{}".format(label), shrink=0.75) + + return fig, ax + + +# %% +sapm_sd_scatter(tmy_data.DryBulb, label="Temperature (deg C)") + + +# %% +sapm_sd_scatter(tmy_data.DNI, label="DNI (W/m**2)") + + +# %% +sapm_sd_scatter(tmy_data.AOD, label="AOD") + + +# %% +sapm_sd_scatter(tmy_data.Wspd, label="Wind speed", vmax=10) + + +# Notice the use of the ``vmax`` keyword argument in the above example. +# The ``**kwargs`` pattern allows us to easily pass non-specified arguments +# to nested functions. + + +# %% +def sapm_other_scatter( + c_data, x_data, clabel=None, xlabel=None, aspect_equal=False, **kwargs +): + """Display a scatter plot of SAPM p_ac vs. something else. + + You need to re-execute this cell if you re-run the p_ac calculation. + + Parameters + ---------- + c_data : array-like + Determines the color of each point on the scatter plot. + Must be same length as p_acs. + x_data : array-like + + kwargs passed to ``scatter``. + + Returns + ------- + tuple of fig, ax objects + """ + + fig = plt.figure(figsize=(12, 12)) + + if aspect_equal: + ax = fig.add_subplot(111, aspect="equal") + else: + ax = fig.add_subplot(111) + sc = ax.scatter( + x_data, + p_acs["sapm"], + c=c_data, + alpha=1, + cmap=mpl.cm.YlGnBu_r, + **kwargs + ) + ax.set_xlim(0, None) + ax.set_ylim(0, None) + ax.set_xlabel("{}".format(xlabel)) + ax.set_ylabel("Sandia model power (W)") + fig.colorbar(sc, label="{}".format(clabel), shrink=0.75) + + return fig, ax + + +# %% +sapm_other_scatter( + tmy_data.DryBulb, + tmy_data.GHI, + clabel="Temperature (deg C)", + xlabel="GHI (W/m**2)", +) + + +# %% +# Next, we will assume that the SAPM model is representative of the real world +# performance so that we can use scipy's optimization routine to derive +# simulated PVUSA coefficients. +# You will need to install scipy to run these functions. +# +# Here's one PVUSA reference: +# +# http://www.nrel.gov/docs/fy09osti/45376.pdf + + +# %% +def pvusa(pvusa_data, a, b, c, d): + """ + Calculates system power according to the PVUSA equation + + P = I * (a + b*I + c*W + d*T) + + where + P is the output power, + I is the plane of array irradiance, + W is the wind speed, and + T is the temperature + + Parameters + ---------- + pvusa_data : pd.DataFrame + Must contain the columns 'I', 'W', and 'T' + a : float + I coefficient + b : float + I*I coefficient + c : float + I*W coefficient + d : float + I*T coefficient + + Returns + ------- + power : pd.Series + Power calculated using the PVUSA model. + """ + return pvusa_data["I"] * ( + a + b * pvusa_data["I"] + c * pvusa_data["W"] + d * pvusa_data["T"] + ) + + +# %% +pvusa_data = pd.DataFrame() +pvusa_data["I"] = poa_irrad.poa_global +pvusa_data["W"] = tmy_data.Wspd +pvusa_data["T"] = tmy_data.DryBulb + + +# %% +popt, pcov = optimize.curve_fit( + pvusa, + pvusa_data.dropna(), + p_acs.sapm.values, + p0=(0.0001, 0.0001, 0.001, 0.001), +) +print("optimized coefs:\n{}".format(popt)) +print("covariances:\n{}".format(pcov)) + + +# %% +power_pvusa = pvusa(pvusa_data, *popt) + +fig, ax = sapm_other_scatter( + tmy_data.DryBulb, + power_pvusa, + clabel="Temperature (deg C)", + aspect_equal=True, + xlabel="PVUSA (W)", +) + +maxmax = max(ax.get_xlim()[1], ax.get_ylim()[1]) +ax.set_ylim(None, maxmax) +ax.set_xlim(None, maxmax) +ax.plot(np.arange(maxmax), np.arange(maxmax), "r") From 13b44a39f577aec28422533dc96c0b91e8448f8c Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Thu, 3 Aug 2023 12:59:28 +0200 Subject: [PATCH 29/37] Create tmy.py --- docs/tutorials/tmy.py | 75 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 75 insertions(+) create mode 100644 docs/tutorials/tmy.py diff --git a/docs/tutorials/tmy.py b/docs/tutorials/tmy.py new file mode 100644 index 0000000000..d2b835ea66 --- /dev/null +++ b/docs/tutorials/tmy.py @@ -0,0 +1,75 @@ +""" +TMY tutorial +============ +This tutorial shows how to use the :py:mod:`pvlib.tmy` module to read data +from TMY2 and TMY3 files. +""" + +# %% +# This tutorial has been tested against the following package versions: +# - pvlib 0.3.0 +# - Python 3.5.1 +# - IPython 4.1 +# - pandas 0.18.0 +# +# Authors: +# - Will Holmgren (@wholmgren), University of Arizona. July 2014, July 2015, +# March 2016. + +# Import modules +# -------------- + +import os +import inspect + +import pvlib + + +# %% +# pvlib comes packaged with a TMY2 and a TMY3 data file. +# TODO: :pull:`1763` + +# Find the absolute file path to your pvlib installation +pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib))) + + +# %% +# Import the TMY data using the functions in the ``pvlib.iotools`` module. + +tmy3_data, tmy3_metadata = pvlib.iotools.read_tmy3( + os.path.join(pvlib_abspath, "data", "703165TY.csv") +) +tmy2_data, tmy2_metadata = pvlib.iotools.read_tmy2( + os.path.join(pvlib_abspath, "data", "12839.tm2") +) + + +# %% +# Print the TMY3 metadata and the first 5 lines of the data. + +print(tmy3_metadata) +tmy3_data.head(5) + + +# %% +tmy3_data["GHI"].plot() + + +# %% +# The TMY readers have an optional argument to coerce the year to a single +# value. + +tmy3_data, tmy3_metadata = pvlib.iotools.read_tmy3( + os.path.join(pvlib_abspath, "data", "703165TY.csv"), coerce_year=1987 +) + + +# %% +tmy3_data["GHI"].plot() + + +# %% +# Here's the TMY2 data. + +print(tmy2_metadata) +print(tmy2_data.head()) From 782af2f5228fbc8e9d2395ef1f0ea75b471437ba Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Thu, 3 Aug 2023 13:37:28 +0200 Subject: [PATCH 30/37] Create tracking.py --- docs/tutorials/tracking.py | 1559 ++++++++++++++++++++++++++++++++++++ 1 file changed, 1559 insertions(+) create mode 100644 docs/tutorials/tracking.py diff --git a/docs/tutorials/tracking.py b/docs/tutorials/tracking.py new file mode 100644 index 0000000000..e53aa0ac88 --- /dev/null +++ b/docs/tutorials/tracking.py @@ -0,0 +1,1559 @@ +""" +Tracking +======== +This tutorial introduces the :py:mod:`pvlib.tracking` module. +This module currently only contains one function, +:py:func:`pvlib.tracking.singleaxis`, but we hope to add dual axis tracking +support in the future. +""" + +# %% +# The :py:func:`pvlib.tracking.singleaxis` function is a port of the +# PVLIB MATLAB file ``pvl_singleaxis.m``. +# The algorithm is based on `Lorenzo et al, *Tracking and back-tracking*, Prog. +# in Photovoltaics: Research and Applications, **19**, 747-753 (2011) +# `_. +# Most of the Python and MATLAB algorithms are identical except for name +# changes to conform to the PEP8 Python style guide. There are few spots, +# noteably in the calculation of `surface_azimuth `_, +# that our implementation differs from the MATLAB implementation. +# +# Table of contents: +# 1. `Setup`_ +# 2. `Walk through each step of the single axis tracking algorithm +# `_ +# 3. `Use the :py:func:`~pvlib.tracking.singleaxis` function to explore the +# impacts of tracker tilt, tracker azimuth, and backtracking +# `_ +# +# This tutorial requires pvlib >= 0.6.0. +# +# This tutorial was written by +# - Will Holmgren (:ghuser:`wholmgren`), University of Arizona. +# March, 2015, July 2015, March 2016, April 2016, August 2018. +# - Some of the text is based on the comments in ``pvl_singleaxis.m``, +# presumably written by the PVLIB_MATLAB team at Sandia National Laboratory. + +# %% +# Setup +# ----- + +import datetime + +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +import pytest + +import pvlib +from pvlib.tools import cosd, sind +from pvlib.location import Location + + +# %% +# Make some ``pvlib Location`` objects. These are the standard inputs to the +# solar position calculator. + +tus = Location(32.2, -111, "US/Arizona", 700, "Tucson") +print(tus) +johannesburg = Location( + -26.2044, 28.0456, "Africa/Johannesburg", 1753, "Johannesburg" +) +print(johannesburg) + + +# %% +# Calculate solar position at those locations. To start, we'll choose times +# near an equinox. Later, we'll test against times near a solstice. + +times = pd.date_range( + start=datetime.datetime(2014, 3, 23), + end=datetime.datetime(2014, 3, 24), + freq="5Min", +) + +ephem_tus = pvlib.solarposition.get_solarposition( + times.tz_localize(tus.tz), tus.latitude, tus.longitude +) +ephem_joh = pvlib.solarposition.get_solarposition( + times.tz_localize(johannesburg.tz), + johannesburg.latitude, + johannesburg.longitude, +) +ephemout = ephem_tus # default for notebook + + +# %% +# Single axis tracker algorithm +# ----------------------------- +# The steps of the tracking algorithm are: +# 1. `Define input parameters `_. +# 2. `Transform solar position to South facing coordinate system +# `_. +# 3. `Transform solar position to panel coordinate system +# `_. +# 4. `Determine the ideal tracking angle when ignoring backtracking +# `_. +# 5. `Correct the tracking angle to account for backtracking `_. +# 6. `Calculate the panel normal vector based on tracking angle +# `_. +# 7. `Calculate the solar angle of incidence `_. +# 8. `Calculate the panel tilt and azimuth `_. + +# %% +# Inputs +# ^^^^^^ +# First, define the input parameters. +# From the ``tracking.singleaxis`` docstring... + +help(pvlib.tracking.singleaxis) + + +# %% +azimuth = ephemout["azimuth"] +apparent_azimuth = ephemout["azimuth"] +apparent_zenith = ephemout["apparent_zenith"] +axis_tilt = 10 +axis_azimuth = 170 +latitude = 32 +max_angle = 65 +backtrack = True +gcr = 2.0 / 7.0 + +times = azimuth.index + + +# %% +# Transform to south facing coordinate system +# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +# The reference that this algorithm is based on used an Earth coordinate +# system where y points south. +# So, we first transform our solar position vector to this +# new coordiante system. + +az = apparent_azimuth - 180 +apparent_elevation = 90 - apparent_zenith +x = cosd(apparent_elevation) * sind(az) +y = cosd(apparent_elevation) * cosd(az) +z = sind(apparent_elevation) + +earth_coords = pd.DataFrame({"x": x, "y": y, "z": z}) + +earth_coords.plot() +plt.title("sun position in Earth coordinate system") + + +# %% +# Transform to panel coordinate system +# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +# Transform solar vector to panel coordinate system. +# For North-South oriented trackers parallel to the ground, +# the only difference is the sign of the x component. +# The x components are the same if ``axis_azimuth=180`` and opposite +# if ``axis_azimuth=0``. + +axis_azimuth_south = axis_azimuth - 180 + +print( + "cos(axis_azimuth_south)={}, sin(axis_azimuth_south)={}".format( + cosd(axis_azimuth_south), sind(axis_azimuth_south) + ) +) +print( + "cos(axis_tilt)={}, sin(axis_tilt)={}".format( + cosd(axis_tilt), sind(axis_tilt) + ) +) + +xp = x * cosd(axis_azimuth_south) - y * sind(axis_azimuth_south) +yp = ( + x * cosd(axis_tilt) * sind(axis_azimuth_south) + + y * cosd(axis_tilt) * cosd(axis_azimuth_south) + - z * sind(axis_tilt) +) +zp = ( + x * sind(axis_tilt) * sind(axis_azimuth_south) + + y * sind(axis_tilt) * cosd(axis_azimuth_south) + + z * cosd(axis_tilt) +) + +panel_coords = pd.DataFrame({"x": xp, "y": yp, "z": zp}) + +panel_coords.plot() +plt.title("sun position in panel coordinate system") + + +# %% +# Tracking angle +# ^^^^^^^^^^^^^^ +# The ideal tracking angle ``wid`` is the rotation to place the sun position +# vector ``(xp, yp, zp)`` in the ``(y, z)`` plane; i.e. normal to the panel +# and containing the axis of rotation. ``wid = 0`` indicates that the panel +# is horizontal. Here, our convention is that a clockwise rotation is +# positive, to view rotation angles in the same frame of reference as +# azimuth. For example, for a system with tracking axis oriented south, +# a rotation toward the east is negative, and a rotation to the west is +# positive. +# +# We use ``arctan2``, but PVLIB MATLAB uses ``arctan``. +# Here prove that we get the same result. + +# Calculate angle from x-y plane to projection of sun vector onto x-z plane +# and then obtain wid by translating tmp to convention for rotation angles. +wid = pd.Series(90 - np.degrees(np.arctan2(zp, xp)), index=times) + +# filter for sun above panel horizon +wid[zp <= 0] = np.nan + +wid.plot(label="tracking angle") +ephemout["apparent_elevation"].plot(label="apparent elevation") +plt.legend() +plt.title("Ideal tracking angle without backtracking") + + +# %% +# ``arctan`` version +tmp = np.degrees( + np.arctan(zp / xp) +) # angle from x-y plane to projection of sun vector onto x-z plane + +# Obtain wid by translating tmp to convention for rotation angles. +# Have to account for which quadrant of the x-z plane in which the sun +# vector lies. Complete solution here but probably not necessary to +# consider QIII and QIV. +wid = pd.Series(index=times, dtype=float) +wid[(xp >= 0) & (zp >= 0)] = 90 - tmp[(xp >= 0) & (zp >= 0)] +# QI +wid[(xp < 0) & (zp >= 0)] = -90 - tmp[(xp < 0) & (zp >= 0)] +# QII +wid[(xp < 0) & (zp < 0)] = -90 - tmp[(xp < 0) & (zp < 0)] +# QIII +wid[(xp >= 0) & (zp < 0)] = 90 - tmp[(xp >= 0) & (zp < 0)] +# QIV + +# filter for sun above panel horizon +wid[zp <= 0] = np.nan + +wid.plot(label="tracking angle") +ephemout["apparent_elevation"].plot(label="apparent elevation") +plt.legend() +plt.title("Ideal tracking angle without backtracking") + + +# %% +# Backtracking +# ^^^^^^^^^^^^ +# Account for backtracking; +# modified from [1] to account for rotation angle convention being used here. + +if backtrack: + axes_distance = 1 / gcr + temp = np.minimum(axes_distance * cosd(wid), 1) + + # backtrack angle + # (always positive b/c acosd returns values between 0 and 180) + wc = np.degrees(np.arccos(temp)) + + v = wid < 0 + widc = pd.Series(index=times, dtype=float) + widc[~v] = wid[~v] - wc[~v] + # Eq 4 applied when wid in QI + widc[v] = wid[v] + wc[v] + # Eq 4 applied when wid in QIV +else: + widc = wid + +widc.plot(label="tracking angle") +# pyephemout['apparent_elevation'].plot(label='apparent elevation') +plt.legend(loc=2) +plt.title("Ideal tracking angle with backtracking") + + +# %% +# Compare tracking angle with and without backtracking. + +tracking_angles = pd.DataFrame( + {"with backtracking": widc, "without backtracking": wid} +) +tracking_angles.plot() +# pyephemout['apparent_elevation'].plot(label='apparent elevation') +plt.legend() + + +# %% +# Max angle +# ^^^^^^^^^ +# Apply angle restriction. + +tracker_theta = widc.copy() +tracker_theta[tracker_theta > max_angle] = max_angle +tracker_theta[tracker_theta < -max_angle] = -max_angle + +tracking_angles["with restriction"] = tracker_theta +tracking_angles.plot() + + +# %% +# Calculate panel normal +# ^^^^^^^^^^^^^^^^^^^^^^ +# Calculate panel normal vector in panel x, y, z coordinates. +# y-axis is axis of tracker rotation. ``tracker_theta`` is a compass angle +# (clockwise is positive) rather than a trigonometric angle. + +panel_norm = np.array( + [sind(tracker_theta), tracker_theta * 0, cosd(tracker_theta)] +) + +panel_norm_df = pd.DataFrame( + panel_norm.T, columns=("x", "y", "z"), index=times +) +panel_norm_df.plot() +plt.title("panel normal vector components in panel coordinate system") +plt.legend() + + +# %% +# sun position in vector format in panel-oriented x, y, z coordinates. +# We've already seen this above, but it's good to look at it again after +# calculating the tracker normal vector. + +sun_vec = np.array([xp, yp, zp]) + +panel_coords = pd.DataFrame(sun_vec.T, columns=("x", "y", "z"), index=times) + +panel_coords.plot() +plt.title("sun position in panel coordinate system") + + +# %% +# AOI +# ^^^ +# Calculate angle-of-incidence on panel + +aoi = np.degrees(np.arccos(np.abs(np.sum(sun_vec * panel_norm, axis=0)))) +aoi = pd.Series(aoi, index=times) + +aoi.plot() +plt.title("angle of incidence") + + +# %% +# The power produced by the tracker will be primarily determined by the cosine +# of the angle of incidence. + +cosd(aoi).plot() + + +# %% +# Surface tilt and azimuth +# ^^^^^^^^^^^^^^^^^^^^^^^^ +# Calculate panel tilt ``surface_tilt`` and azimuth ``surface_azimuth`` +# in a coordinate system where the panel tilt is the +# angle from horizontal, and the panel azimuth is +# the compass angle (clockwise from north) to the projection +# of the panel's normal to the earth's surface. +# These outputs are provided for convenience and comparison +# with other PV software which use these angle conventions. +# +# Project normal vector to earth surface. +# First rotate about x-axis by angle -axis_tilt so that y-axis is also parallel +# to earth surface, then project. + +# Calculate standard rotation matrix +print( + "cos(axis_azimuth_south)={}, sin(axis_azimuth_south)={}".format( + cosd(axis_azimuth_south), sind(axis_azimuth_south) + ) +) +print( + "cos(axis_tilt)={}, sin(axis_tilt)={}".format( + cosd(axis_tilt), sind(axis_tilt) + ) +) + +rot_x = np.array( + [ + [1, 0, 0], + [0, cosd(-axis_tilt), -sind(-axis_tilt)], + [0, sind(-axis_tilt), cosd(-axis_tilt)], + ] +) + +# panel_norm_earth contains the normal vector expressed in earth-surface +# coordinates (z normal to surface, y aligned with tracker axis parallel +# to earth) +panel_norm_earth = np.dot(rot_x, panel_norm).T + +# projection to plane tangent to earth surface, +# in earth surface coordinates +projected_normal = np.array( + [ + panel_norm_earth[:, 0], + panel_norm_earth[:, 1], + panel_norm_earth[:, 2] * 0, + ] +).T + +# calculate magnitudes +panel_norm_earth_mag = np.sqrt(np.nansum(panel_norm_earth**2, axis=1)) +projected_normal_mag = np.sqrt(np.nansum(projected_normal**2, axis=1)) +# print('panel_norm_earth_mag={panel_norm_earth_mag}, ' +# 'projected_normal_mag={projected_normal_mag}') + +projected_normal = (projected_normal.T / projected_normal_mag).T + +panel_norm_earth_df = pd.DataFrame( + panel_norm_earth, columns=("x", "y", "z"), index=times +) +panel_norm_earth_df.plot() +plt.title("panel normal vector components in Earth coordinate system") + +projected_normal_df = pd.DataFrame( + projected_normal, columns=("x", "y", "z"), index=times +) +projected_normal_df.plot() +plt.title( + "panel normal vector projected to surface in Earth coordinate system" +) + + +# Surface azimuth +# """"""""""""""" +# Calculate surface_azimuth. This takes a few steps. +# We need to take the arctan, rotate from the panel system to the south-facing +# Earth system and then rotate the Earth system to a north-facing Earth system. +# We use the ``arctan2`` function, but PVLIB MATLAB uses ``arctan``. +# calculation of surface_azimuth +# +# 1. Find the angle. +surface_azimuth = pd.Series( + np.degrees(np.arctan2(projected_normal[:, 1], projected_normal[:, 0])), + index=times, +) +surface_azimuth.plot(label="orig") + +# %% +# 2. Rotate 0 reference from panel's x axis to it's y axis and +# then back to North. +surface_azimuth = 90 - surface_azimuth + axis_azimuth + +# %% +# 3. Map azimuth into [0,360) domain. +surface_azimuth[surface_azimuth < 0] += 360 +surface_azimuth[surface_azimuth >= 360] -= 360 +surface_azimuth.plot(label="compass angle north") + +plt.legend() + + +# %% +# ``arctan`` version +# calculation of surface_azimuth +# +# 1. Find the angle. +surface_azimuth = pd.Series( + np.degrees(np.arctan(projected_normal[:, 1] / projected_normal[:, 0])), + index=times, +) +surface_azimuth.plot(label="orig") + +# %% +# 2. Clean up atan when x-coord or y-coord is zero +surface_azimuth[ + (projected_normal[:, 0] == 0) & (projected_normal[:, 1] > 0) +] = 90 +surface_azimuth[ + (projected_normal[:, 0] == 0) & (projected_normal[:, 1] < 0) +] = -90 +surface_azimuth[ + (projected_normal[:, 1] == 0) & (projected_normal[:, 0] > 0) +] = 0 +surface_azimuth[ + (projected_normal[:, 1] == 0) & (projected_normal[:, 0] < 0) +] = 180 +surface_azimuth.plot(label="x or y 0 corrected") + +# %% +# 3. Correct atan for QII and QIII +surface_azimuth[ + (projected_normal[:, 0] < 0) & (projected_normal[:, 1] > 0) +] += 180 # QII +surface_azimuth[ + (projected_normal[:, 0] < 0) & (projected_normal[:, 1] < 0) +] += 180 # QIII +surface_azimuth.plot(label="q2, q3 corrected") + +# %% +# 4. Skip to below +# +# From PVLIB MATLAB... +# at this point surface_azimuth contains angles between -90 and +270, +# where 0 is along the positive x-axis, +# the y-axis is in the direction of the tracker azimuth, +# and positive angles are rotations from the positive x axis towards +# the positive y-axis. +# Adjust to compass angles +# (clockwise rotation from 0 along the positive y-axis) +# surface_azimuth[surface_azimuth<=90] = \ +# 90 - surface_azimuth[surface_azimuth<=90] +# surface_azimuth[surface_azimuth>90] = \ +# 450 - surface_azimuth[surface_azimuth>90] +# +# finally rotate to align y-axis with true north +# PVLIB_MATLAB has this latitude correction, +# but I don't think it's latitude dependent if you always +# specify axis_azimuth with respect to North. +# if latitude > 0 or True: +# surface_azimuth = surface_azimuth - axis_azimuth +# else: +# surface_azimuth = surface_azimuth - axis_azimuth - 180 +# surface_azimuth[surface_azimuth<0] = \ +# 360 + surface_azimuth[surface_azimuth<0] +# +# the commented code above is mostly part of PVLIB_MATLAB. +# My (wholmgren) take is that it can be done more simply. +# Say that we're pointing along the postive x axis (likely west). +# We just need to rotate 90 degrees to get from the x axis +# to the y axis (likely south), +# and then add the axis_azimuth to get back to North. +# Anything left over is the azimuth that we want, +# and we can map it into the [0,360) domain. + +# %% +# 4. Rotate 0 reference from panel's x axis to it's y axis and +# then back to North. +surface_azimuth = 90 - surface_azimuth + axis_azimuth + +# %% +# 5. Map azimuth into [0,360) domain. +surface_azimuth[surface_azimuth < 0] += 360 +surface_azimuth[surface_azimuth >= 360] -= 360 +surface_azimuth.plot(label="compass angle north") + +plt.legend() + + +# %% +# The final ``surface_azimuth`` is given by the curve labeled +# "compass angle north". This is in degrees East of North. + +# %% +# Surface tilt +# """""""""""" +# Calculate ``surface_tilt``. + +surface_tilt = 90 - np.degrees( + np.arccos( + pd.DataFrame(panel_norm_earth * projected_normal, index=times).sum( + axis=1 + ) + ) +) + +surface_tilt.plot() + + +# According to the MATLAB code, surface_tilt is "The angle between the panel +# surface and the earth surface, accounting for panel rotation." + +# %% +# ``tracking.singleaxis`` examples +# -------------------------------- +# With backtracking + +tracker_data = pvlib.tracking.singleaxis( + ephemout["apparent_zenith"], + ephemout["azimuth"], + axis_tilt=0, + axis_azimuth=180, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) + + +# %% +tracker_data.plot() + + +# %% +# Without backtracking + +tracker_data = pvlib.tracking.singleaxis( + ephemout["apparent_zenith"], + ephemout["azimuth"], + axis_tilt=0, + axis_azimuth=180, + max_angle=90, + backtrack=False, + gcr=2.0 / 7.0, +) +tracker_data.plot() + + +# %% +# Explore ground cover ratio + +aois = pd.DataFrame(index=ephemout.index) + +for gcr in np.linspace(0, 1, 6): + tracker_data = pvlib.tracking.singleaxis( + ephemout["apparent_zenith"], + ephemout["azimuth"], + axis_tilt=0, + axis_azimuth=180, + max_angle=90, + backtrack=True, + gcr=gcr, + ) + aois[gcr] = tracker_data["aoi"] + + +# %% +aois.plot() + + +# %% +# Ensure that max_angle works. + +tracker_data = pvlib.tracking.singleaxis( + ephemout["apparent_zenith"], + ephemout["azimuth"], + axis_tilt=0, + axis_azimuth=180, + max_angle=45, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data.plot() + + +# %% +# Play with axis_tilt. + +aois = pd.DataFrame(index=ephemout.index) +tilts = pd.DataFrame(index=ephemout.index) +azis = pd.DataFrame(index=ephemout.index) +thetas = pd.DataFrame(index=ephemout.index) + +for tilt in np.linspace(0, 90, 7): + tracker_data = pvlib.tracking.singleaxis( + ephemout["apparent_zenith"], + ephemout["azimuth"], + axis_tilt=tilt, + axis_azimuth=180, + max_angle=90, + backtrack=True, + gcr=2 / 7.0, + ) + aois[tilt] = tracker_data["aoi"] + tilts[tilt] = tracker_data["surface_tilt"] + azis[tilt] = tracker_data["surface_azimuth"] + thetas[tilt] = tracker_data["tracker_theta"] + +fig, axes = plt.subplots(2, 2, figsize=(16, 12), sharex=True) +ax = axes[0, 0] +aois.plot(ax=ax) +ax.set_ylim(0, 90) +ax.set_title("aoi") + +ax = axes[0, 1] +thetas.plot(ax=ax) +ax.set_ylim(-90, 90) +ax.set_title("tracker theta") + +ax = axes[1, 1] +tilts.plot(ax=ax) +ax.set_title("surface tilt") +ax.set_ylim(0, 90) + +ax = axes[1, 0] +azis.plot(ax=ax) +ax.set_title("surface azimuth") +ax.set_ylim(0, 360) +# ax.hlines([0, 90, 180, 270, 360], *ax.get_xlim(), colors='0.25', lw=1, +# alpha=0.25) + + +# %% +# The simple case of ``axis_tilt = 0`` shows the panels pointing directly East +# in the morning and directly West in the afternoon. +# If ``axis_tilt > 0`` then the panels always point South of East +# and South of West. The panels point towards South near sunrise, +# rotate towards East in mid-morning, then back towards Sorth around noon, +# continuing towards West in the mid-afternoon, +# and finally back towards Sorth near sunset. +# +# Next, what happens if we try to point the panels North? + +aois = pd.DataFrame(index=ephemout.index) +tilts = pd.DataFrame(index=ephemout.index) +azis = pd.DataFrame(index=ephemout.index) +thetas = pd.DataFrame(index=ephemout.index) + +for tilt in np.linspace(0, -90, 7): + tracker_data = pvlib.tracking.singleaxis( + ephemout["apparent_zenith"], + ephemout["azimuth"], + axis_tilt=tilt, + axis_azimuth=180, + max_angle=90, + backtrack=True, + gcr=2 / 7.0, + ) + aois[tilt] = tracker_data["aoi"] + tilts[tilt] = tracker_data["surface_tilt"] + azis[tilt] = tracker_data["surface_azimuth"] + thetas[tilt] = tracker_data["tracker_theta"] + +fig, axes = plt.subplots(2, 2, figsize=(16, 12), sharex=True) +ax = axes[0, 0] +aois.plot(ax=ax) +ax.set_ylim(0, 90) +ax.set_title("aoi") + +ax = axes[0, 1] +thetas.plot(ax=ax) +ax.set_ylim(-90, 90) +ax.set_title("tracker theta") + +ax = axes[1, 1] +tilts.plot(ax=ax) +ax.set_title("surface tilt") +ax.set_ylim(0, 90) + +ax = axes[1, 0] +azis.plot(ax=ax) +ax.set_title("surface azimuth") +ax.set_ylim(0, 360) +# ax.hlines([0, 90, 180, 270, 360], *ax.get_xlim(), colors='0.25', lw=1, +# alpha=0.25) + + +# %% +# The 0 tilt case is repeated for reference. For small Northward tilts, +# such as -15, the panels point towards North near sunrise, +# rotate towards the east in mid-morning, then back towards North around noon, +# continuing towards West in the mid-afternoon, +# and finally back towards North near sunset. +# +# The algorithm returns ``nan`` for larger Northward tilts at midday since +# the beam component of the irradiance would be 0. + +# Play with axis_azimuth. + +aois = pd.DataFrame(index=ephemout.index) +tilts = pd.DataFrame(index=ephemout.index) +azis = pd.DataFrame(index=ephemout.index) +thetas = pd.DataFrame(index=ephemout.index) + +for azi in np.linspace(90, 270, 5): + tracker_data = pvlib.tracking.singleaxis( + ephemout["apparent_zenith"], + ephemout["azimuth"], + axis_tilt=0, + axis_azimuth=azi, + max_angle=90, + backtrack=True, + gcr=2 / 7.0, + ) + aois[azi] = tracker_data["aoi"] + tilts[azi] = tracker_data["surface_tilt"] + azis[azi] = tracker_data["surface_azimuth"] + thetas[azi] = tracker_data["tracker_theta"] + +fig, axes = plt.subplots(2, 2, figsize=(16, 12), sharex=True) +ax = axes[0, 0] +aois.plot(ax=ax) +ax.set_ylim(0, 90) +ax.set_title("aoi") + +ax = axes[0, 1] +thetas.plot(ax=ax) +ax.set_ylim(-90, 90) +ax.set_title("tracker theta") + +ax = axes[1, 1] +tilts.plot(ax=ax) +ax.set_title("surface tilt") +ax.set_ylim(0, 90) + +ax = axes[1, 0] +azis.plot(ax=ax) +ax.set_title("surface azimuth") +ax.set_ylim(0, 360) + + +# %% +# This discussion of the ``axis_azimuth`` parameter assumes ``axis_tilt=0`` +# and no backtracking. +# +# Say that your ``axis_azimuth=90 or 270``. Your ``surface_azimuth`` has no +# choice but to point to North (0), or South (180). Near the equinox, +# the solar azimuth is very nearly 90 at sunrise and sunset, +# so the ``surface_tilt`` is going to be poorly defined until the sun is +# a bit above the horizon. +# At midday, the ``surface_azimuth`` should definitely point South (180), +# ``surface_tilt`` will very nearly equal the latitude, +# and AOI should be nearly 0. +# +# Next, let's study the ``axis_azimuth=135`` case. +# This corresponds to a tracker oriented from SSE-NNW. +# At sunrise, on the equinox, the tracker is going to point East of North +# by 45 degrees. +# Sometime before solar noon, the panels should lay flat, +# and then point West of South by 45 degrees, or East of North by 225. +# +# Test the southern hemispere. + +tracker_data = pvlib.tracking.singleaxis( + ephem_joh["apparent_zenith"], + ephem_joh["azimuth"], + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data.plot() + + +# %% +# Test different seasons. + +times = pd.date_range( + start=datetime.datetime(2014, 3, 23), + end=datetime.datetime(2014, 3, 24), + freq="5Min", +) + +ephem_tus = pvlib.solarposition.get_solarposition( + times.tz_localize(tus.tz), tus.latitude, tus.longitude +) +ephem_joh = pvlib.solarposition.get_solarposition( + times.tz_localize(johannesburg.tz), + johannesburg.latitude, + johannesburg.longitude, +) + +tracker_data = pvlib.tracking.singleaxis( + ephem_tus["apparent_zenith"], + ephem_tus["azimuth"], + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data.plot() +plt.title("Tucson, March") +plt.ylim(-100, 100) + +tracker_data = pvlib.tracking.singleaxis( + ephem_joh["apparent_zenith"], + ephem_joh["azimuth"], + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data.plot() +plt.title("Johannesburg, March") +plt.ylim(-100, 100) + + +# %% +times = pd.date_range( + start=datetime.datetime(2014, 6, 23), + end=datetime.datetime(2014, 6, 24), + freq="5Min", +) + +ephem_tus = pvlib.solarposition.get_solarposition( + times.tz_localize(tus.tz), tus.latitude, tus.longitude +) +ephem_joh = pvlib.solarposition.get_solarposition( + times.tz_localize(johannesburg.tz), + johannesburg.latitude, + johannesburg.longitude, +) + +tracker_data = pvlib.tracking.singleaxis( + ephem_tus["apparent_zenith"], + ephem_tus["azimuth"], + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data.plot() +plt.title("Tucson, June") +plt.ylim(-100, 100) + +tracker_data = pvlib.tracking.singleaxis( + ephem_joh["apparent_zenith"], + ephem_joh["azimuth"], + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data.plot() +plt.title("Johannesburg, June") +plt.ylim(-100, 100) + + +# %% +times = pd.date_range( + start=datetime.datetime(2014, 12, 23), + end=datetime.datetime(2014, 12, 24), + freq="5Min", +) + +ephem_tus = pvlib.solarposition.get_solarposition( + times.tz_localize(tus.tz), tus.latitude, tus.longitude +) +ephem_joh = pvlib.solarposition.get_solarposition( + times.tz_localize(johannesburg.tz), + johannesburg.latitude, + johannesburg.longitude, +) + +tracker_data = pvlib.tracking.singleaxis( + ephem_tus["apparent_zenith"], + ephem_tus["azimuth"], + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data.plot() +plt.title("Tucson, December") +plt.ylim(-100, 100) + +tracker_data = pvlib.tracking.singleaxis( + ephem_joh["apparent_zenith"], + ephem_joh["azimuth"], + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data.plot() +plt.title("Johannesburg, December") +plt.ylim(-100, 100) + + +# %% +times = pd.date_range( + start=datetime.datetime(2014, 12, 23), + end=datetime.datetime(2014, 12, 24), + freq="5Min", +) + +ephem_tus = pvlib.solarposition.get_solarposition( + times.tz_localize(tus.tz), tus.latitude, tus.longitude +) +ephem_joh = pvlib.solarposition.get_solarposition( + times.tz_localize(johannesburg.tz), + johannesburg.latitude, + johannesburg.longitude, +) + +tracker_data = pvlib.tracking.singleaxis( + ephem_tus["apparent_zenith"], + ephem_tus["azimuth"], + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=False, + gcr=2.0 / 7.0, +) +tracker_data["aoi"].plot() +plt.title("Tucson, December, no backtrack") + +tracker_data = pvlib.tracking.singleaxis( + ephem_joh["apparent_zenith"], + ephem_joh["azimuth"], + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=False, + gcr=2.0 / 7.0, +) +plt.figure() +tracker_data["aoi"].plot() +plt.title("Johannesburg, December, no backtrack") + + +# %% +times = pd.date_range( + start=datetime.datetime(2014, 5, 5), + end=datetime.datetime(2014, 5, 6), + freq="5Min", +) + +ephem_tus = pvlib.solarposition.get_solarposition( + times.tz_localize(tus.tz), tus.latitude, tus.longitude +) +ephem_joh = pvlib.solarposition.get_solarposition( + times.tz_localize(johannesburg.tz), + johannesburg.latitude, + johannesburg.longitude, +) + +tracker_data = pvlib.tracking.singleaxis( + ephem_tus["apparent_zenith"], + ephem_tus["azimuth"], + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=False, + gcr=2.0 / 7.0, +) +tracker_data["aoi"].plot() +plt.title("Tucson, May, no backtrack") + +tracker_data = pvlib.tracking.singleaxis( + ephem_joh["apparent_zenith"], + ephem_joh["azimuth"], + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=False, + gcr=2.0 / 7.0, +) +plt.figure() +tracker_data["aoi"].plot() +plt.title("Johannesburg, May, no backtrack") + + +# %% +# Calculate full POA irradiance +# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +# Finally, we'll put the tracker data together with the irradiance algorithms +# to determine plane-of-array irradiance. + +times = pd.date_range( + start=datetime.datetime(2014, 3, 23), + end=datetime.datetime(2014, 3, 24), + freq="5Min", +) + +ephem_tus = pvlib.solarposition.get_solarposition( + times.tz_localize(tus.tz), tus.latitude, tus.longitude +) +ephem_joh = pvlib.solarposition.get_solarposition( + times.tz_localize(johannesburg.tz), + johannesburg.latitude, + johannesburg.longitude, +) + +tracker_data = pvlib.tracking.singleaxis( + ephem_tus["apparent_zenith"], + ephem_tus["azimuth"], + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data.plot() +plt.ylim(-100, 100) + + +# %% +irrad_data = tus.get_clearsky(times.tz_localize(tus.tz)) +dni_et = pvlib.irradiance.get_extra_radiation(irrad_data.index, method="asce") +irrad_data.plot() +dni_et.plot(label="DNI ET") + + +# %% +ground_irrad = pvlib.irradiance.get_ground_diffuse( + tracker_data["surface_tilt"], irrad_data["ghi"], albedo=0.25 +) +ground_irrad.plot() + + +# %% +ephem_data = ephem_tus + +haydavies_diffuse = pvlib.irradiance.haydavies( + tracker_data["surface_tilt"], + tracker_data["surface_azimuth"], + irrad_data["dhi"], + irrad_data["dni"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +haydavies_diffuse.plot(label="haydavies diffuse") + + +# %% +global_in_plane = ( + cosd(tracker_data["aoi"]) * irrad_data["dni"] + + haydavies_diffuse + + ground_irrad +) +global_in_plane.plot() + + +# %% +# Do it again for another time of year. + +times = pd.date_range( + start=datetime.datetime(2014, 6, 23), + end=datetime.datetime(2014, 6, 24), + freq="5Min", +) + +ephem_tus = pvlib.solarposition.get_solarposition( + times.tz_localize(tus.tz), tus.latitude, tus.longitude +) +ephem_joh = pvlib.solarposition.get_solarposition( + times.tz_localize(johannesburg.tz), + johannesburg.latitude, + johannesburg.longitude, +) + +tracker_data = pvlib.tracking.singleaxis( + ephem_tus["apparent_zenith"], + ephem_tus["azimuth"], + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data.plot() +plt.ylim(-100, 100) + +irrad_data = tus.get_clearsky(times.tz_localize(tus.tz)) +dni_et = pvlib.irradiance.get_extra_radiation(irrad_data.index, method="asce") +plt.figure() +irrad_data.plot() +dni_et.plot(label="DNI ET") + +ground_irrad = pvlib.irradiance.get_ground_diffuse( + tracker_data["surface_tilt"], irrad_data["ghi"], albedo=0.25 +) +ground_irrad.plot() + +ephem_data = ephem_tus + +haydavies_diffuse = pvlib.irradiance.haydavies( + tracker_data["surface_tilt"], + tracker_data["surface_azimuth"], + irrad_data["dhi"], + irrad_data["dni"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +haydavies_diffuse.plot(label="haydavies diffuse") + +global_in_plane = ( + cosd(tracker_data["aoi"]) * irrad_data["dni"] + + haydavies_diffuse + + ground_irrad +) +global_in_plane.plot(label="global in plane") + +plt.legend() + + +# %% +times = pd.date_range( + start=datetime.datetime(2014, 12, 23), + end=datetime.datetime(2014, 12, 24), + freq="5Min", +) + +ephem_tus = pvlib.solarposition.get_solarposition( + times.tz_localize(tus.tz), tus.latitude, tus.longitude +) +ephem_joh = pvlib.solarposition.get_solarposition( + times.tz_localize(johannesburg.tz), + johannesburg.latitude, + johannesburg.longitude, +) + +tracker_data = pvlib.tracking.singleaxis( + ephem_tus["apparent_zenith"], + ephem_tus["azimuth"], + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data.plot() +plt.ylim(-100, 100) + +irrad_data = tus.get_clearsky(times.tz_localize(tus.tz)) +dni_et = pvlib.irradiance.get_extra_radiation(irrad_data.index, method="asce") +plt.figure() +irrad_data.plot() +dni_et.plot(label="DNI ET") + +ground_irrad = pvlib.irradiance.get_ground_diffuse( + tracker_data["surface_tilt"], irrad_data["ghi"], albedo=0.25 +) +ground_irrad.plot() + +ephem_data = ephem_tus + +haydavies_diffuse = pvlib.irradiance.haydavies( + tracker_data["surface_tilt"], + tracker_data["surface_azimuth"], + irrad_data["dhi"], + irrad_data["dni"], + dni_et, + ephem_data["apparent_zenith"], + ephem_data["azimuth"], +) +haydavies_diffuse.plot(label="haydavies diffuse") + +global_in_plane = ( + cosd(tracker_data["aoi"]) * irrad_data["dni"] + + haydavies_diffuse + + ground_irrad +) +global_in_plane.plot(label="global in plane") + +plt.legend() + + +# %% +# Reproduce examples from ``pvl_singleaxis.m`` +# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +abq = Location(35, -106, "US/Mountain", 0, "Albuquerque") +print(abq) + + +# Example 1: +# """""""""" +# Horizontal single axis tracking without back-tracking (max angle = 45 deg) + +times = pd.date_range( + start=datetime.datetime(2014, 6, 1), + end=datetime.datetime(2014, 6, 2), + freq="5Min", +) + +ephem_abq = abq.get_solarposition(times.tz_localize(abq.tz)) + +tracker_data = pvlib.tracking.singleaxis( + ephem_abq["apparent_zenith"], + ephem_abq["azimuth"], + axis_tilt=0, + axis_azimuth=180, + max_angle=45, + backtrack=False, + gcr=2.0 / 7.0, +) +tracker_data.plot() +plt.ylim(-100, 100) +plt.title("June 1, Albuquerque, NS Horizontal Single-Axis, no backtrack") + + +# Example 2: +# """""""""" +# Horizontal single axis tracking with back-tracking (assumes GCR of 0.3) + +times = pd.date_range( + start=datetime.datetime(2014, 6, 1), + end=datetime.datetime(2014, 6, 2), + freq="5Min", +) + +ephem_abq = abq.get_solarposition(times.tz_localize(abq.tz)) + +tracker_data = pvlib.tracking.singleaxis( + ephem_abq["apparent_zenith"], + ephem_abq["azimuth"], + axis_tilt=0, + axis_azimuth=180, + max_angle=45, + backtrack=True, + gcr=0.3, +) +tracker_data.plot() +plt.ylim(-100, 100) +plt.title("June 1, Albuquerque, NS Horizontal Single-Axis, with backtracking") + + +# Example 3: +# """""""""" +# 20 deg titled single axis tracking with back-tracking (assumes GCR of 0.3) + +times = pd.date_range( + start=datetime.datetime(2014, 6, 1), + end=datetime.datetime(2014, 6, 2), + freq="5Min", +) + +ephem_abq = abq.get_solarposition(times.tz_localize(abq.tz)) + +tracker_data = pvlib.tracking.singleaxis( + ephem_abq["apparent_zenith"], + ephem_abq["azimuth"], + axis_tilt=20, + axis_azimuth=180, + max_angle=45, + backtrack=True, + gcr=0.3, +) +tracker_data.plot() +plt.ylim(-50, 300) +plt.title( + "June 1, Albuquerque, 20 deg S-Tilted Single-Axis, with backtracking" +) + + +# %% +# sketch of automated tests +# ^^^^^^^^^^^^^^^^^^^^^^^^^ +# test solar noon + +apparent_zenith = pd.Series([10]) +apparent_azimuth = pd.Series([180]) +tracker_data = pvlib.tracking.singleaxis( + apparent_zenith, + apparent_azimuth, + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data + + +# %% +apparent_zenith = pd.Series([60]) +apparent_azimuth = pd.Series([90]) +tracker_data = pvlib.tracking.singleaxis( + apparent_zenith, + apparent_azimuth, + axis_tilt=0, + axis_azimuth=180, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data + + +# %% +apparent_zenith = pd.Series([60]) +apparent_azimuth = pd.Series([90]) +tracker_data = pvlib.tracking.singleaxis( + apparent_zenith, + apparent_azimuth, + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data + + +# %% +# Test max + +apparent_zenith = pd.Series([60]) +apparent_azimuth = pd.Series([90]) +tracker_data = pvlib.tracking.singleaxis( + apparent_zenith, + apparent_azimuth, + axis_tilt=0, + axis_azimuth=0, + max_angle=45, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data + + +# %% +# Test backtrack bool + +apparent_zenith = pd.Series([80]) +apparent_azimuth = pd.Series([90]) +tracker_data = pvlib.tracking.singleaxis( + apparent_zenith, + apparent_azimuth, + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=False, + gcr=2.0 / 7.0, +) +tracker_data + + +# %% +apparent_zenith = pd.Series([80]) +apparent_azimuth = pd.Series([90]) +tracker_data = pvlib.tracking.singleaxis( + apparent_zenith, + apparent_azimuth, + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data + + +# %% +# Test axis_tilt + +apparent_zenith = pd.Series([30]) +apparent_azimuth = pd.Series([135]) +tracker_data = pvlib.tracking.singleaxis( + apparent_zenith, + apparent_azimuth, + axis_tilt=30, + axis_azimuth=180, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data + + +# %% +apparent_zenith = pd.Series([30]) +apparent_azimuth = pd.Series([135]) +tracker_data = pvlib.tracking.singleaxis( + apparent_zenith, + apparent_azimuth, + axis_tilt=30, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data + + +# %% +# Test axis_azimuth + +apparent_zenith = pd.Series([30]) +apparent_azimuth = pd.Series([90]) +tracker_data = pvlib.tracking.singleaxis( + apparent_zenith, + apparent_azimuth, + axis_tilt=0, + axis_azimuth=90, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data + + +# %% +apparent_zenith = pd.Series([30]) +apparent_azimuth = pd.Series([180]) +tracker_data = pvlib.tracking.singleaxis( + apparent_zenith, + apparent_azimuth, + axis_tilt=0, + axis_azimuth=90, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data + + +# %% +apparent_zenith = pd.Series([30]) +apparent_azimuth = pd.Series([180]) +tracker_data = pvlib.tracking.singleaxis( + apparent_zenith, + apparent_azimuth, + axis_tilt=0, + axis_azimuth=90, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data + + +# %% +apparent_zenith = pd.Series([30]) +apparent_azimuth = pd.Series([150]) +tracker_data = pvlib.tracking.singleaxis( + apparent_zenith, + apparent_azimuth, + axis_tilt=0, + axis_azimuth=170, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data + + +# %% +apparent_zenith = pd.Series([30]) +apparent_azimuth = pd.Series([180]) +tracker_data = pvlib.tracking.singleaxis( + apparent_zenith, + apparent_azimuth, + axis_tilt=0, + axis_azimuth=170, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data + + +# %% +apparent_zenith = pd.Series([10]) +apparent_azimuth = pd.Series([180]) +tracker_data = pvlib.tracking.singleaxis( + apparent_zenith, + apparent_azimuth, + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, +) +tracker_data + + +# %% +# This is supposed to fail... + +with pytest.raises(Exception): + apparent_zenith = pd.Series([10]) + apparent_azimuth = pd.Series([180, 90]) + tracker_data = pvlib.tracking.singleaxis( + apparent_zenith, + apparent_azimuth, + axis_tilt=0, + axis_azimuth=0, + max_angle=90, + backtrack=True, + gcr=2.0 / 7.0, + ) + tracker_data From b26229e10c42aa49df73fa0d799a8503b9bc0508 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Thu, 3 Aug 2023 13:49:46 +0200 Subject: [PATCH 31/37] Fix atmosphere.py --- docs/tutorials/atmosphere.py | 3 +-- docs/tutorials/solarposition.py | 1 + 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/tutorials/atmosphere.py b/docs/tutorials/atmosphere.py index 073e84d2f8..bd06726818 100644 --- a/docs/tutorials/atmosphere.py +++ b/docs/tutorials/atmosphere.py @@ -1,9 +1,8 @@ -"""" +""" atmosphere.py tutorial ====================== """ - # %% # This tutorial needs your help to make it better! # This tutorial requires pvlib > 0.6.0. diff --git a/docs/tutorials/solarposition.py b/docs/tutorials/solarposition.py index 0db32bb76f..327c395efa 100644 --- a/docs/tutorials/solarposition.py +++ b/docs/tutorials/solarposition.py @@ -3,6 +3,7 @@ ============================= """ +# %% # This tutorial needs your help to make it better! # # Table of contents: From 0808d61c3bb86c9b31ea0d497518227f4b0c6d2f Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Thu, 3 Aug 2023 14:03:04 +0200 Subject: [PATCH 32/37] Remove dependency inside tracking.py --- docs/tutorials/tracking.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/docs/tutorials/tracking.py b/docs/tutorials/tracking.py index e53aa0ac88..dec44de5a6 100644 --- a/docs/tutorials/tracking.py +++ b/docs/tutorials/tracking.py @@ -43,7 +43,6 @@ import numpy as np import pandas as pd import matplotlib.pyplot as plt -import pytest import pvlib from pvlib.tools import cosd, sind @@ -1544,7 +1543,7 @@ # %% # This is supposed to fail... -with pytest.raises(Exception): +try: apparent_zenith = pd.Series([10]) apparent_azimuth = pd.Series([180, 90]) tracker_data = pvlib.tracking.singleaxis( @@ -1557,3 +1556,6 @@ gcr=2.0 / 7.0, ) tracker_data + +except Exception as err: + print(err) From 5e4700ca39ce48878185dcf2249250d45e203053 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Thu, 3 Aug 2023 14:25:03 +0200 Subject: [PATCH 33/37] Update unordered lists --- docs/tutorials/atmosphere.py | 1 + docs/tutorials/solarposition.py | 9 +++++---- docs/tutorials/tmy.py | 2 ++ docs/tutorials/tmy_to_power.py | 13 +++++++------ docs/tutorials/tracking.py | 1 + 5 files changed, 16 insertions(+), 10 deletions(-) diff --git a/docs/tutorials/atmosphere.py b/docs/tutorials/atmosphere.py index bd06726818..083687162c 100644 --- a/docs/tutorials/atmosphere.py +++ b/docs/tutorials/atmosphere.py @@ -8,6 +8,7 @@ # This tutorial requires pvlib > 0.6.0. # # Authors: +# # - Will Holmgren (@wholmgren), University of Arizona. 2015, March 2016, # August 2018. diff --git a/docs/tutorials/solarposition.py b/docs/tutorials/solarposition.py index 327c395efa..245bd8fc12 100644 --- a/docs/tutorials/solarposition.py +++ b/docs/tutorials/solarposition.py @@ -12,10 +12,11 @@ # 3. `Speed tests`_ # # This tutorial has been tested against the following package versions: -# * pvlib 0.8.0 -# * Python 3.8.5 -# * IPython 7.18 -# * Pandas 1.1.1 +# +# - pvlib 0.8.0 +# - Python 3.8.5 +# - IPython 7.18 +# - Pandas 1.1.1 # # It should work with other Python and Pandas versions. # It requires pvlib > 0.3.0 and IPython > 3.0. diff --git a/docs/tutorials/tmy.py b/docs/tutorials/tmy.py index d2b835ea66..152d410861 100644 --- a/docs/tutorials/tmy.py +++ b/docs/tutorials/tmy.py @@ -7,12 +7,14 @@ # %% # This tutorial has been tested against the following package versions: +# # - pvlib 0.3.0 # - Python 3.5.1 # - IPython 4.1 # - pandas 0.18.0 # # Authors: +# # - Will Holmgren (@wholmgren), University of Arizona. July 2014, July 2015, # March 2016. diff --git a/docs/tutorials/tmy_to_power.py b/docs/tutorials/tmy_to_power.py index 97936b0548..f3dfa378c8 100644 --- a/docs/tutorials/tmy_to_power.py +++ b/docs/tutorials/tmy_to_power.py @@ -91,12 +91,13 @@ # -------------------------------- # Before we can calculate power for all times in the TMY file, # we will need to calculate: -# * solar position -# * extra terrestrial radiation -# * airmass -# * angle of incidence -# * POA sky and ground diffuse radiation -# * cell and module temperatures +# +# - solar position +# - extra terrestrial radiation +# - airmass +# - angle of incidence +# - POA sky and ground diffuse radiation +# - cell and module temperatures # First, define some PV system parameters. diff --git a/docs/tutorials/tracking.py b/docs/tutorials/tracking.py index dec44de5a6..d70ac06084 100644 --- a/docs/tutorials/tracking.py +++ b/docs/tutorials/tracking.py @@ -29,6 +29,7 @@ # This tutorial requires pvlib >= 0.6.0. # # This tutorial was written by +# # - Will Holmgren (:ghuser:`wholmgren`), University of Arizona. # March, 2015, July 2015, March 2016, April 2016, August 2018. # - Some of the text is based on the comments in ``pvl_singleaxis.m``, From e57dbc2ef3b8706739e56fc6e07d294f9c2ad4b7 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Thu, 3 Aug 2023 16:36:05 +0200 Subject: [PATCH 34/37] Rendering updates --- docs/tutorials/atmosphere.py | 5 ++-- docs/tutorials/irradiance.py | 9 ++++--- docs/tutorials/pvsystem.py | 16 ++++++------ docs/tutorials/solarposition.py | 6 ++--- docs/tutorials/tmy.py | 2 +- .../tutorials/tmy_and_diffuse_irrad_models.py | 3 +-- docs/tutorials/tmy_to_power.py | 12 ++++++--- docs/tutorials/tracking.py | 26 ++++++++++++------- 8 files changed, 46 insertions(+), 33 deletions(-) diff --git a/docs/tutorials/atmosphere.py b/docs/tutorials/atmosphere.py index 083687162c..007ab15f40 100644 --- a/docs/tutorials/atmosphere.py +++ b/docs/tutorials/atmosphere.py @@ -1,10 +1,11 @@ """ -atmosphere.py tutorial -====================== +``atmosphere.py`` tutorial +========================== """ # %% # This tutorial needs your help to make it better! +# # This tutorial requires pvlib > 0.6.0. # # Authors: diff --git a/docs/tutorials/irradiance.py b/docs/tutorials/irradiance.py index 024f6b2ff3..f217b8071d 100644 --- a/docs/tutorials/irradiance.py +++ b/docs/tutorials/irradiance.py @@ -1,6 +1,6 @@ """ -irradiance.py tutorial -====================== +``irradiance.py`` tutorial +========================== """ # %% @@ -39,8 +39,8 @@ # 3. `Reindl model`_ # 4. `Hay-Davies model`_ # 5. `Perez model`_ -# 5. `Angle of incidence`_ -# 6. `total_irrad`_ +# 5. `Angle of incidence functions`_ +# 6. `get_total_irradiance`_ # %% # Extraterrestrial radiation @@ -178,6 +178,7 @@ plt.ylabel("Irradiance $W/m^2$") plt.title("Ineichen, climatological turbidity") +# %% # Diffuse ground # -------------- # The :py:func:``~pvlib.irradiance.grounddiffuse`` function has a few different diff --git a/docs/tutorials/pvsystem.py b/docs/tutorials/pvsystem.py index a226807029..3e26762958 100644 --- a/docs/tutorials/pvsystem.py +++ b/docs/tutorials/pvsystem.py @@ -1,6 +1,6 @@ """ -pvsystem tutorial -================= +``pvsystem.py`` tutorial +======================== This tutorial explores the :py:mod:`pvlib.pvsystem` module. The module has functions for importing PV module and inverter data and functions for modeling module and inverter performance. @@ -171,7 +171,7 @@ plt.ylabel("temperature (deg C)") # %% -# Sandia-inverter-model +# Sandia Inverter Model # --------------------- inverters = pvsystem.retrieve_sam("sandiainverter") @@ -194,13 +194,13 @@ # Need to put more effort into describing this function. [TODO ¿¿??] # %% -# DC model -# -------- +# Sandia Array Performance Model +# ------------------------------ # This example shows use of the Desoto module performance model and the Sandia # Array Performance Model (SAPM). Both models reuire a set of parameter values # which can be read from SAM databases for modules. # -# Foe the Desoto model, the database content is returned by supplying the +# For the Desoto model, the database content is returned by supplying the # keyword `cecmod` to `pvsystem.retrievesam`. cec_modules = pvsystem.retrieve_sam("cecmod") @@ -422,8 +422,8 @@ def ivframe_to_ivcurve(ivframe, points=100): ax.legend() # %% -# desoto -# ------ +# DeSoto Model +# ------------ # The same weather data run through the Desoto model. ( diff --git a/docs/tutorials/solarposition.py b/docs/tutorials/solarposition.py index 245bd8fc12..8e863cdcc7 100644 --- a/docs/tutorials/solarposition.py +++ b/docs/tutorials/solarposition.py @@ -7,6 +7,7 @@ # This tutorial needs your help to make it better! # # Table of contents: +# # 1. `Setup`_ # 2. `SPA output`_ # 3. `Speed tests`_ @@ -21,6 +22,7 @@ # It should work with other Python and Pandas versions. # It requires pvlib > 0.3.0 and IPython > 3.0. +# %% # Setup # ----- import datetime @@ -300,12 +302,10 @@ 0.05235987755982988, # 3 degrees in radians ) - +# %% # Speed tests # ----------- -# %% - # define globals times = pd.date_range(start="20180601", freq="1min", periods=14400) times_loc = times.tz_localize(loc.tz) diff --git a/docs/tutorials/tmy.py b/docs/tutorials/tmy.py index 152d410861..b76911d712 100644 --- a/docs/tutorials/tmy.py +++ b/docs/tutorials/tmy.py @@ -17,7 +17,7 @@ # # - Will Holmgren (@wholmgren), University of Arizona. July 2014, July 2015, # March 2016. - +# # Import modules # -------------- diff --git a/docs/tutorials/tmy_and_diffuse_irrad_models.py b/docs/tutorials/tmy_and_diffuse_irrad_models.py index d650241a81..2f64789e0f 100644 --- a/docs/tutorials/tmy_and_diffuse_irrad_models.py +++ b/docs/tutorials/tmy_and_diffuse_irrad_models.py @@ -13,13 +13,12 @@ # - Rob Andrews (@Calama-Consulting), Heliolytics, June 2014 # - Will Holmgren (@wholmgren), University of Arizona, July 2015, March 2016, # August 2018 - +# # Setup # ----- # See the :ref:`sphx_glr_gallery_tutorials_tmy_to_power.py` tutorial for more # detailed explanations for the initial setup -# %% import os import inspect diff --git a/docs/tutorials/tmy_to_power.py b/docs/tutorials/tmy_to_power.py index f3dfa378c8..0ce3f2f9a2 100644 --- a/docs/tutorials/tmy_to_power.py +++ b/docs/tutorials/tmy_to_power.py @@ -7,6 +7,7 @@ # %% # Table of contents: +# # 1. `Setup`_ # 2. `Load TMY data`_ # 3. `Calculate modeling intermediates`_ @@ -16,6 +17,7 @@ # This tutorial requires pvlib >= 0.6.0. # # Authors: +# # - Will Holmgren (@wholmgren), University of Arizona, July 2015, March 2016, # August 2018. # - Rob Andrews (@Calama-Consulting), Heliolytics, June 2014 @@ -49,6 +51,7 @@ # http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/tmy3/by_state_and_city.html # Find the absolute file path to your pvlib installation +# TODO: :pull:`1763` pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib))) # absolute path to a data file @@ -125,8 +128,8 @@ # # The default solar position algorithm is based on Reda and Andreas (2004). # Our implementation is pretty fast, but you can make it even faster -# if you install ```numba`` `_ -# and use add ``method='nrel_numba'`` to the function call below. +# if you install `:literal:`numba` `_ +# and use add ``method='nrel_numba'`` to the function call below. solpos = pvlib.solarposition.get_solarposition( tmy_data.index, sand_point.latitude, sand_point.longitude @@ -134,7 +137,7 @@ solpos.plot() - +# %% # The funny looking jump in the azimuth is just due to the coarse time # sampling in the TMY file. @@ -166,6 +169,7 @@ plt.ylabel("Airmass") +# %% # The funny appearance is due to aliasing and setting invalid numbers # equal to ``NaN``. # Replot just a day or two and you'll see that the numbers are right. @@ -220,6 +224,7 @@ plt.ylabel("Angle of incidence (deg)") +# %% # Note that AOI has values greater than 90 deg. This is ok. # %% @@ -447,6 +452,7 @@ def sapm_sd_scatter(c_data, label=None, **kwargs): sapm_sd_scatter(tmy_data.Wspd, label="Wind speed", vmax=10) +# %% # Notice the use of the ``vmax`` keyword argument in the above example. # The ``**kwargs`` pattern allows us to easily pass non-specified arguments # to nested functions. diff --git a/docs/tutorials/tracking.py b/docs/tutorials/tracking.py index d70ac06084..7bc5360276 100644 --- a/docs/tutorials/tracking.py +++ b/docs/tutorials/tracking.py @@ -19,12 +19,13 @@ # that our implementation differs from the MATLAB implementation. # # Table of contents: +# # 1. `Setup`_ # 2. `Walk through each step of the single axis tracking algorithm -# `_ +# `_ # 3. `Use the :py:func:`~pvlib.tracking.singleaxis` function to explore the # impacts of tracker tilt, tracker azimuth, and backtracking -# `_ +# `_ # # This tutorial requires pvlib >= 0.6.0. # @@ -87,18 +88,19 @@ # Single axis tracker algorithm # ----------------------------- # The steps of the tracking algorithm are: -# 1. `Define input parameters `_. +# +# 1. `Define input parameters `_. # 2. `Transform solar position to South facing coordinate system -# `_. +# `_. # 3. `Transform solar position to panel coordinate system -# `_. +# `_. # 4. `Determine the ideal tracking angle when ignoring backtracking -# `_. -# 5. `Correct the tracking angle to account for backtracking `_. +# `_. +# 5. `Correct the tracking angle to account for backtracking `_. # 6. `Calculate the panel normal vector based on tracking angle -# `_. -# 7. `Calculate the solar angle of incidence `_. -# 8. `Calculate the panel tilt and azimuth `_. +# `_. +# 7. `Calculate the solar angle of incidence `_. +# 8. `Calculate the panel tilt and azimuth `_. # %% # Inputs @@ -553,6 +555,7 @@ surface_tilt.plot() +# %% # According to the MATLAB code, surface_tilt is "The angle between the panel # surface and the earth surface, accounting for panel rotation." @@ -1239,6 +1242,7 @@ print(abq) +# %% # Example 1: # """""""""" # Horizontal single axis tracking without back-tracking (max angle = 45 deg) @@ -1265,6 +1269,7 @@ plt.title("June 1, Albuquerque, NS Horizontal Single-Axis, no backtrack") +# %% # Example 2: # """""""""" # Horizontal single axis tracking with back-tracking (assumes GCR of 0.3) @@ -1291,6 +1296,7 @@ plt.title("June 1, Albuquerque, NS Horizontal Single-Axis, with backtracking") +# %% # Example 3: # """""""""" # 20 deg titled single axis tracking with back-tracking (assumes GCR of 0.3) From 7cbb9cb6fff080e89ab1b113dd422bc6dbf5cf75 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Fri, 4 Aug 2023 13:02:30 +0200 Subject: [PATCH 35/37] Fix irradiance? --- docs/tutorials/irradiance.py | 65 ++++++++++++++++++------------------ 1 file changed, 32 insertions(+), 33 deletions(-) diff --git a/docs/tutorials/irradiance.py b/docs/tutorials/irradiance.py index f217b8071d..01848f3a26 100644 --- a/docs/tutorials/irradiance.py +++ b/docs/tutorials/irradiance.py @@ -602,7 +602,8 @@ ebin.plot() plt.ylim(0, 9) -# %%ebin = ebin - 1 +# %% +ebin = ebin - 1 ebin = ebin.dropna().astype(int) ebin.plot() @@ -611,32 +612,30 @@ delta.plot() # %% +modelt = "allsitescomposite1990" -# TODO: THIS AIN'T WORKING SORRY :( -# modelt = "allsitescomposite1990" - -# F1c, F2c = pvlib.irradiance._get_perez_coefficients(modelt) +F1c, F2c = pvlib.irradiance._get_perez_coefficients(modelt) -# F1 = ( -# F1c[ebin, 0] -# + F1c[ebin, 1] * delta[ebin.index] -# + F1c[ebin, 2] * z[ebin.index] -# ) -# F1[F1 < 0] = 0 -# F1 = F1.astype(float) - -# # F2= F2c[ebin,0] + F2c[ebin,1]*delta[ebinfilter] + F2c[ebin,2]*z[ebinfilter] -# F2 = ( -# F2c[ebin, 0] -# + F2c[ebin, 1] * delta[ebin.index] -# + F2c[ebin, 2] * z[ebin.index] -# ) -# F2[F2 < 0] = 0 -# F2 = F2.astype(float) +F1 = ( + F1c[ebin, 0] + + F1c[ebin, 1] * delta[ebin.index] + + F1c[ebin, 2] * z[ebin.index] +) +F1[F1 < 0] = 0 +F1 = F1.astype(float) + +# F2= F2c[ebin,0] + F2c[ebin,1]*delta[ebinfilter] + F2c[ebin,2]*z[ebinfilter] +F2 = ( + F2c[ebin, 0] + + F2c[ebin, 1] * delta[ebin.index] + + F2c[ebin, 2] * z[ebin.index] +) +F2[F2 < 0] = 0 +F2 = F2.astype(float) -# F1.plot(label="F1") -# F2.plot(label="F2") -# plt.legend() +F1.plot(label="F1") +F2.plot(label="F2") +plt.legend() # %% A = tools.cosd(surf_tilt) * tools.cosd(sun_zen) + tools.sind( @@ -653,16 +652,16 @@ B.plot(label="B") plt.legend() -# %% TODO FIX AFTER WILL'S REVIEWING -# sky_diffuse = DHI * ( -# 0.5 * (1 - F1) * (1 + tools.cosd(surf_tilt)) -# + F1 * A[ebin.index] / B[ebin.index] -# + F2 * tools.sind(surf_tilt) -# ) -# sky_diffuse[sky_diffuse < 0] = 0 -# sky_diffuse[AM.isnull()] = 0 +# %% +sky_diffuse = DHI * ( + 0.5 * (1 - F1) * (1 + tools.cosd(surf_tilt)) + + F1 * A[ebin.index] / B[ebin.index] + + F2 * tools.sind(surf_tilt) +) +sky_diffuse[sky_diffuse < 0] = 0 +sky_diffuse[AM.isnull()] = 0 -# sky_diffuse.plot() +sky_diffuse.plot() # %% # Compare the Perez model to others. From b36ed64c895edf9238b20e48e1ccff13734f1506 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Sun, 6 Aug 2023 22:45:18 +0200 Subject: [PATCH 36/37] Add print statements to raw timeits --- docs/tutorials/irradiance.py | 52 ++++++++++++++++++++++++++++-------- 1 file changed, 41 insertions(+), 11 deletions(-) diff --git a/docs/tutorials/irradiance.py b/docs/tutorials/irradiance.py index 01848f3a26..55ed7735c9 100644 --- a/docs/tutorials/irradiance.py +++ b/docs/tutorials/irradiance.py @@ -108,17 +108,47 @@ times = pd.date_range(start="2015", end="2016", freq="1min") -timeit('pvlib.irradiance.get_extra_radiation(times, method="spencer")', - setup='import pvlib', number=5, globals={'times': times}) -timeit('pvlib.irradiance.get_extra_radiation(times, method="asce")', - setup='import pvlib', number=5, globals={'times': times}) -timeit('pvlib.irradiance.get_extra_radiation(times, method="pyephem")', - setup='import pvlib', number=5, globals={'times': times}) -timeit('pvlib.irradiance.get_extra_radiation(times, method="nrel")', - setup='import pvlib', number=5, globals={'times': times}) -timeit( - 'pvlib.irradiance.get_extra_radiation(times, method="nrel", how="numba")', - setup='import pvlib', number=5, globals={'times': times}) +print( + timeit( + 'pvlib.irradiance.get_extra_radiation(times, method="spencer")', + setup="import pvlib", + number=5, + globals={"times": times}, + ) +) +print( + timeit( + 'pvlib.irradiance.get_extra_radiation(times, method="asce")', + setup="import pvlib", + number=5, + globals={"times": times}, + ) +) +print( + timeit( + 'pvlib.irradiance.get_extra_radiation(times, method="pyephem")', + setup="import pvlib", + number=5, + globals={"times": times}, + ) +) +print( + timeit( + 'pvlib.irradiance.get_extra_radiation(times, method="nrel")', + setup="import pvlib", + number=5, + globals={"times": times}, + ) +) +print( + timeit( + 'pvlib.irradiance.get_extra_radiation(times, method="nrel", ' + 'how="numba")', + setup="import pvlib", + number=5, + globals={"times": times}, + ) +) # %% # In addition to DatetimeIndex input, the methods also work for various scalar From 048b2cdd77183fd9ee77873f9e0c8862cb2d6975 Mon Sep 17 00:00:00 2001 From: echedey-ls <80125792+echedey-ls@users.noreply.github.com> Date: Sun, 6 Aug 2023 22:47:29 +0200 Subject: [PATCH 37/37] Remove some kind of TODO... --- docs/tutorials/pvsystem.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/tutorials/pvsystem.py b/docs/tutorials/pvsystem.py index 3e26762958..f90edcf952 100644 --- a/docs/tutorials/pvsystem.py +++ b/docs/tutorials/pvsystem.py @@ -191,7 +191,7 @@ plt.xlabel("dc power") # %% -# Need to put more effort into describing this function. [TODO ¿¿??] +# Need to put more effort into describing this function. # %% # Sandia Array Performance Model