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12 - Advanced topics - AgriPV Clearance Height Evaluation.py
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#!/usr/bin/env python
# coding: utf-8
# # 12 - Advanced topics - AgriPV Clearance Height Evaluation
#
# This journal is based on Journal 11, now looping through various clearance-heights of the modules to evaluate ground irradiance and bifacial gain.
#
#
# 
#
# <a id='step1'></a>
# In[1]:
import os
from pathlib import Path
testfolder = str(Path().resolve().parent.parent / 'bifacial_radiance' / 'TEMP' / 'Tutorial_12')
if not os.path.exists(testfolder):
os.makedirs(testfolder)
print ("Your simulation will be stored in %s" % testfolder)
# In[2]:
from bifacial_radiance import *
import numpy as np
import datetime
# In[3]:
startdt_tomato =datetime.datetime(2001,3,15,0)
enddt_tomato = datetime.datetime(2001,6,30,23)
startdt_kale = datetime.datetime(2001,9,15,0)
enddt_kale = datetime.datetime(2001,10,31,23)
startdt_PV = datetime.datetime(2001,1,1,0)
enddt_PV = datetime.datetime(2001,12,31,23)
# In[4]:
hub_heights = [4.3, 3.5, 2.5, 1.5]
albedo = 0.2 #'grass' # ground albedo
crops = ['tomato', 'kale']
# Redundant. Overwritihng the Radiance Obj for each loop below to have a unique name.
demo = RadianceObj('tutorial_12', path=testfolder) # Create a RadianceObj 'object'
demo.setGround(albedo) # input albedo number or material name like 'concrete'. To see options, run this without any input.
lat = 32.22 # Tucson, AZ
lon = -110.97 # Tucson, Az 32.2226° N, 110.9747° W
epwfile = demo.getEPW(lat, lon) # NJ lat/lon 40.0583° N, 74.4057
# ## 1. Loop over the different heights
# In[9]:
for jj in range (0, len(hub_heights)):
hub_height = hub_heights[jj]
simulationname = 'height_'+ str(int(hub_height*100))+'cm'
#Location:
# MakeModule Parameters
moduletype='test-module'
numpanels = 3 # AgriPV site has 3 modules along the y direction (N-S since we are facing it to the south) .
x = 0.95
y = 1.95
xgap = 2.0# Leaving 15 centimeters between modules on x direction
ygap = 0.10 # Leaving 10 centimeters between modules on y direction
zgap = 0 # no gap to torquetube.
sensorsy = 6*numpanels # this will give 6 sensors per module, 1 per cell
# Other default values:
# TorqueTube Parameters
axisofrotationTorqueTube=False
torqueTube = False
cellLevelModule = True
numcellsx = 12
numcellsy = 6
xcell = 0.156
ycell = 0.156
xcellgap = 0.02
ycellgap = 0.02
cellLevelModuleParams = {'numcellsx': numcellsx, 'numcellsy':numcellsy,
'xcell': xcell, 'ycell': ycell, 'xcellgap': xcellgap, 'ycellgap': ycellgap}
# SceneDict Parameters
pitch = 15 # m
torquetube_height = hub_height - 0.1 # m
nMods = 6 # six modules per row.
nRows = 3 # 3 row
azimuth_ang=180 # Facing south
tilt =35 # tilt.
# Now let's run the example
demo = RadianceObj(simulationname,path = testfolder) # Create a RadianceObj 'object'
demo.setGround(albedo) # input albedo number or material name like 'concrete'. To see options, run this without any input.
#demo.gendaylit(4020) # Use this to simulate only one hour at a time.
# Making module with all the variables
module = demo.makeModule(name=moduletype, x=x, y=y, numpanels=numpanels,
xgap=xgap, ygap=ygap, cellModule=cellLevelModuleParams)
# create a scene with all the variables
sceneDict = {'tilt':tilt, 'pitch':15, 'hub_height':hub_height, 'azimuth':azimuth_ang, 'nMods':nMods, 'nRows':nRows}
scene = demo.makeScene(module=moduletype, sceneDict=sceneDict) #makeScene creates a .rad file with 20 modules per row, 7 rows.
octfile = demo.makeOct(demo.getfilelist()) # makeOct combines all of the ground, sky and object fil|es into a .oct file.
torquetubelength = module.scenex*(nMods)
# torquetube 1
name='Post1'
text='! genbox Metal_Aluminum_Anodized torquetube_row1 {} 0.2 0.3 | xform -t {} -0.1 -0.3 | xform -t 0 0 {}'.format(torquetubelength, (-torquetubelength+module.sceney)/2.0, torquetube_height)
customObject = demo.makeCustomObject(name,text)
demo.appendtoScene(radfile=scene.radfiles, customObject=customObject, text="!xform -rz 0")
name='Post2'
text='! genbox Metal_Aluminum_Anodized torquetube_row2 {} 0.2 0.3 | xform -t {} -0.1 -0.3 | xform -t 0 15 {}'.format(torquetubelength, (-torquetubelength+module.sceney)/2.0, torquetube_height)
customObject = demo.makeCustomObject(name,text)
demo.appendtoScene(radfile=scene.radfiles, customObject=customObject, text="!xform -rz 0")
name='Post3'
text='! genbox Metal_Aluminum_Anodized torquetube_row2 {} 0.2 0.3 | xform -t {} -0.1 -0.3 | xform -t 0 -15 {}'.format(torquetubelength, (-torquetubelength+module.sceney)/2.0, torquetube_height)
customObject = demo.makeCustomObject(name,text)
demo.appendtoScene(radfile=scene.radfiles, customObject=customObject, text="!xform -rz 0")
name='Pile'
pile1x = (torquetubelength+module.sceney)/2.0
pilesep = pile1x*2.0/7.0
#! genrev Metal_Grey tube1 t*1.004 0.05 32 | xform -ry 90 -t -0.502 0 0
text= '! genrev Metal_Grey tube1row1 t*{} 0.15 32 | xform -t {} 0 0'.format(torquetube_height, pile1x)
text += '\r\n! genrev Metal_Grey tube1row2 t*{} 0.15 32 | xform -t {} 15 0'.format(torquetube_height, pile1x)
text += '\r\n! genrev Metal_Grey tube1row3 t*{} 0.15 32 | xform -t {} -15 0'.format(torquetube_height, pile1x)
for i in range (1, 7):
text += '\r\n! genrev Metal_Grey tube{}row1 t*{} 0.15 32 | xform -t {} 0 0'.format(i+1, torquetube_height, pile1x-pilesep*i)
text += '\r\n! genrev Metal_Grey tube{}row2 t*{} 0.15 32 | xform -t {} 15 0'.format(i+1, torquetube_height, pile1x-pilesep*i)
text += '\r\n! genrev Metal_Grey tube{}row3 t*{} 0.15 32 | xform -t {} -15 0'.format(i+1, torquetube_height, pile1x-pilesep*i)
customObject = demo.makeCustomObject(name,text)
demo.appendtoScene(radfile=scene.radfiles, customObject=customObject, text="!xform -rz 0")
for zz in range (0, len(crops)):
crop = crops[zz]
if crop == 'tomato':
#startdt =datetime.datetime(2001,3,15,0)
#enddt = datetime.datetime(2001,6,30,23)
starttime = '2001-03-15_0100'
endtime = '2001-06-30_2300'
print('PLANTING TOMATO')
if crop == 'kale':
# startdt = datetime.datetime(2001,9,15,0)
# enddt = datetime.datetime(2001,10,31,23)
starttime = '2001-09-15_0100'
endtime = '2001-10-31_2300'
print('PLANTING KALE')
metdata = demo.readWeatherFile(epwfile, starttime=starttime, endtime=endtime, coerce_year=2001) # read in the EPW weather data from above
demo.genCumSky(savefile=crop)
octfile = demo.makeOct() # makeOct combines all of the ground, sky and object files into a .oct file.
analysis = AnalysisObj(octfile, demo.name) # return an analysis object including the scan dimensions for back irradiance
sensorsy = 30
sensorsx = 30
startgroundsample=-module.scenex
spacingbetweensamples = module.scenex/(sensorsx-1)
for i in range (0, sensorsx):
frontscan, backscan = analysis.moduleAnalysis(scene, sensorsy=sensorsy)
groundscan = frontscan
groundscan['zstart'] = 0.05 # setting it 5 cm from the ground.
groundscan['zinc'] = 0 # no tilt necessary.
groundscan['yinc'] = pitch/(sensorsy-1) # increasing spacing so it covers all distance between rows
groundscan['xstart'] = startgroundsample + i*spacingbetweensamples # increasing spacing so it covers all distance between rows
analysis.analysis(octfile, simulationname+'_'+crop+'_'+str(i), groundscan, backscan) # compare the back vs front irradiance
metdata = demo.readWeatherFile(epwfile) # read in the EPW weather data from above
demo.genCumSky(savefile = 'PV')#startdt=startdt, enddt=enddt)
octfile = demo.makeOct() # makeOct combines all of the ground, sky and object files into a .oct file.
analysis = AnalysisObj(octfile, demo.name) # return an analysis object including the scan dimensions for back irradiance
sensorsy = 20
sensorsx = 12
startPVsample=-module.x
spacingbetweenPVsamples = module.x/(sensorsx-1)
for i in range (0, sensorsx): # Will map 20 points
frontscan, backscan = analysis.moduleAnalysis(scene, sensorsy=sensorsy)
frontscan['xstart'] = startPVsample + i*spacingbetweenPVsamples # increasing spacing so it covers all distance between rows
analysis.analysis(octfile, simulationname+'_PV_'+str(i), frontscan, backscan) # compare the back vs front irradiance
# ## 2. Plot Bifacial Gain Results
# In[13]:
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib
# In[14]:
font = {'family' : 'normal',
'weight' : 'bold',
'size' : 22}
matplotlib.rc('font', **font)
sns.set(rc={'figure.figsize':(11.7,8.27)})
# In[15]:
hub_heights = [4.3, 3.5, 2.5, 1.5]
results_BGG=[]
for i in range(0, len(hub_heights)):
hub_height = str(int(hub_heights[i]*100))
filepv= os.path.join(testfolder,'results',f'irr_height_{hub_height}cm_PV_6.csv')
resultsDF = load.read1Result(filepv)
resultsDF = load.cleanResult(resultsDF).dropna()
results_BGG.append(resultsDF['Wm2Back'].sum()*100/resultsDF['Wm2Front'].sum())
plt.figure(figsize=(14,10))
plt.plot(hub_heights, results_BGG, '.-')
plt.ylabel('Bifacial Gain in Irradiance (BG$_G$) [%]')
plt.xlabel('Hub height [m]')
# ## 3. Plot Heatmaps of the Ground Irradiance
# #### First, here is a complicated way to find the maximum of all arrays so all heatmaps are referenced to that value
# In[16]:
maxmax = 0
for hh in range (0, len(hub_heights)):
for cc in range (0, len(crops)):
filestarter = "irr_height_"+ str(int(hub_heights[hh]*100))+'cm_'+crops[cc]
filelist = sorted(os.listdir(os.path.join(testfolder, 'results')))
prefixed = [filename for filename in filelist if filename.startswith(filestarter)]
arrayWm2Front = []
arrayWm2Back = []
arrayMatFront = []
arrayMatBack = []
filenamed = []
faillist = []
print('{} files in the directory'.format(filelist.__len__()))
print('{} groundscan files in the directory'.format(prefixed.__len__()))
i = 0 # counter to track # files loaded.
for i in range (0, len(prefixed)-1):
ind = prefixed[i].split('_')
#print(" Working on ", filelist[i], locs[ii], Scenario[jj])
try:
resultsDF = load.read1Result(os.path.join(testfolder, 'results', prefixed[i]))
arrayWm2Front.append(list(resultsDF['Wm2Front']))
arrayWm2Back.append(list(resultsDF['Wm2Back']))
arrayMatFront.append(list(resultsDF['mattype']))
arrayMatBack.append(list(resultsDF['rearMat']))
filenamed.append(prefixed[i])
except:
print(" FAILED ", i, prefixed[i])
faillist.append(prefixed[i])
resultsdf = pd.DataFrame(list(zip(arrayWm2Front, arrayWm2Back,
arrayMatFront, arrayMatBack)),
columns = ['br_Wm2Front', 'br_Wm2Back',
'br_MatFront', 'br_MatBack'])
resultsdf['filename'] = filenamed
df3 = pd.DataFrame(resultsdf['br_Wm2Front'].to_list())
reversed_df = df3.T.iloc[::-1]
if df3.max().max() > maxmax:
maxmax = df3.max().max()
print("MAX Found", maxmax)
# Now let's print Results Table and Ground Irradiance Heatmaps:
# In[23]:
for hh in range (0, len(hub_heights)):
for cc in range (0, len(crops)):
filestarter = "irr_height_"+ str(int(hub_heights[hh]*100))+'cm_'+crops[cc]
filelist = sorted(os.listdir(os.path.join(testfolder, 'results')))
prefixed = [filename for filename in filelist if filename.startswith(filestarter)]
arrayWm2Front = []
arrayWm2Back = []
arrayMatFront = []
arrayMatBack = []
filenamed = []
faillist = []
i = 0 # counter to track # files loaded.
for i in range (0, len(prefixed)-1):
ind = prefixed[i].split('_')
#print(" Working on ", filelist[i], locs[ii], Scenario[jj])
try:
resultsDF = load.read1Result(os.path.join(testfolder, 'results', prefixed[i]))
arrayWm2Front.append(list(resultsDF['Wm2Front']))
arrayWm2Back.append(list(resultsDF['Wm2Back']))
arrayMatFront.append(list(resultsDF['mattype']))
arrayMatBack.append(list(resultsDF['rearMat']))
filenamed.append(prefixed[i])
except:
print(" FAILED ", i, prefixed[i])
faillist.append(prefixed[i])
resultsdf = pd.DataFrame(list(zip(arrayWm2Front, arrayWm2Back,
arrayMatFront, arrayMatBack)),
columns = ['br_Wm2Front', 'br_Wm2Back',
'br_MatFront', 'br_MatBack'])
resultsdf['filename'] = filenamed
df3 = pd.DataFrame(resultsdf['br_Wm2Front'].to_list())
reversed_df = df3.T.iloc[::-1]
plt.figure()
ax = sns.heatmap(reversed_df/maxmax, vmin=0, vmax=1)
ax.set_yticks([])
ax.set_xticks([])
ax.set_ylabel('')
ax.set_xlabel('')
mytitle = 'Crop: '+crops[cc]+', Hub Height '+str(hub_heights[hh])
ax.set_title(mytitle)
print(mytitle, "MAX irradiance", round(df3.max().max()/1000,1), " kW/m2; Min irradiance", round(df3.min().min()/1000,1), "kW/m2")
print("")