diff --git a/.gitignore b/.gitignore index 27e390c6..640ddecf 100644 --- a/.gitignore +++ b/.gitignore @@ -10,3 +10,4 @@ .DS_Store docs/.ipynb_checkpoints/degradation_example-checkpoint.ipynb +*.ipynb_checkpoints* diff --git a/MANIFEST.in b/MANIFEST.in index 092ff664..939650cc 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,2 +1,3 @@ include versioneer.py include rdtools/_version.py +include rdtools/data/* \ No newline at end of file diff --git a/docs/degradation_example.ipynb b/docs/degradation_example.ipynb index 4a9a6ba9..ea5979d1 100644 --- a/docs/degradation_example.ipynb +++ b/docs/degradation_example.ipynb @@ -4,17 +4,26 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Degradation example\n", + "# Degradation example with clearsky workflow\n", "\n", "\n", - "This juypter notebook is intended to test the degradation analysis workflow. In addition, the notebook demonstrates the effects of changes in the workflow.\n", + "This juypter notebook is intended to illustrate the degradation analysis workflow. In addition, the notebook demonstrates the effects of changes in the workflow.\n", "\n", - "Degradation analysis of PV systems includes several steps:\n", - "1. Standardize data inputs\n", - "2. Normalize data using a performance metric\n", - "3. Filter data that creates bias \n", - "4. Analyze aggregated data to estimate the degradation rate\n", - "\n" + "The degradation calculations consist of several steps illustrated here:\n", + "
    \n", + "
  1. Import and preliminary calculations
  2. \n", + "
  3. Normalize data using a performance metric
  4. \n", + "
  5. Filter data that creates bias
  6. \n", + "
  7. Aggregate data
  8. \n", + "
  9. Analyze aggregated data to estimate the degradation rate
  10. \n", + "
\n", + "\n", + "After demonstrating these steps using sensor data, a modified version of the workflow is illustrated using modled clear sky irradiance and temperature. The results from the two methods are compared\n", + "\n", + "This notebook works with public data from the the Desert Knowledge Australia Solar Centre. Please download the site data from Site 12, and unzip the csv file in the folder:\n", + "./rdtools/docs/\n", + "\n", + "http://dkasolarcentre.com.au/historical-data/download" ] }, { @@ -47,29 +56,30 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# 1. Standardize\n", + "# 0: Import and preliminary calculations\n", "\n", - "Please download the site data from Site 12, and unzip the csv file in the folder:\n", - "./rdtools/docs/\n", "\n", - "http://dkasolarcentre.com.au/historical-data/download\n", + "This section prepares the data necesary for an `rdtools` calculation. The first step of the `rdtools` workflow is normaliztion, which requires a time series of energy yield, a time series of cell temperature, and a time series of irradiance, along with some metadata (see Step 1: Normalize)\n", + "\n", + "The following section loads the data, adjusts units where needed, and renames the critical columns. The irradiance sensor data source is transposed to plane-of-array, and the temperature sensor data source is converted into estimated cell temperature.\n", + "\n", + "A common challenge is handling datasets with and without daylight savings time. Make sure to specify a `pytz` timezone that does or does not include daylight savings time as appropriate for your dataset.\n", "\n", - "The following script loads the data, parses a pandas.DateTimeIndex, and renames the critical columns.\n", - "\n" + "The steps of this section may change depending on your data source or the system being considered. Note that nothing in this first section utlizes the `rdtools` library. Transposition of irradiance and modeling of cell temperature are generally outside the scope of `rdtools`. A variety of tools for these calculations are avaialble in [`pvlib`](https://github.com/pvlib/pvlib-python)." ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": 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BzELLYmv7+/t86/INhqPxnVagPqypJ4FtwyCOY8JEEUbxpH5w1iKK41gymYnGIMHzA/ba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\nmsellLKNMUtkvv0EsDTGvMwY83XAvwZeo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/9Mev8y1PLfLKoR7duQ7VP1+mPxjSVxb1Ukia5XT6PlfubLBYUSyfu4CuN+i+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KAAAg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\nvIpoKi0D2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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -87,26 +97,56 @@ " '12 BP Solar - Global Horizontal Radiation (W/m\\xc2\\xb2)': 'ghi',\n", " '12 BP Solar - Diffuse Horizontal Radiation (W/m\\xc2\\xb2)': 'dhi'\n", "})\n", + "\n", + "# Specify the Metadata\n", + "meta = {\"latitude\": -23.762028,\n", + " \"longitude\": 133.874886,\n", + " \"timezone\": 'Australia/North',\n", + " \"tempco\": -0.005,\n", + " \"azimuth\": 0,\n", + " \"tilt\": 20,\n", + " \"pdc\": 5100.0,\n", + " \"temp_model\": 'open_rack_cell_polymerback'}\n", + "\n", "df.index = pd.to_datetime(df.Timestamp)\n", - "df.index = df.index.tz_localize('Australia/North') # TZ is required for irradiance transposition\n", + "# TZ is required for irradiance transposition\n", + "df.index = df.index.tz_localize(meta['timezone'], ambiguous = 'infer') \n", + "\n", + "# Explicitly trim the dates so that runs of this example notebook \n", + "# are comparable when the sourec dataset has been downloaded at different times\n", + "df = df['2008-11-11':'2017-05-15']\n", "\n", - "# Chage power to watts\n", + "# Chage power from kilowatts to watts\n", "df['power'] = df.power * 1000.0 \n", "# There is some missing data, but we can infer the frequency from the first several data points\n", "freq = pd.infer_freq(df.index[:10])\n", "\n", "# And then set the frequency of the dataframe\n", - "df = df.resample(freq).asfreq()\n", + "df = df.resample(freq).median()\n", + "\n", + "# Calculate energy yield in Wh\n", + "df['energy'] = df.power * pd.to_timedelta(df.power.index.freq).total_seconds()/(3600.0)\n", + "\n", + "# Calculate POA irradiance from DHI, GHI inputs\n", + "loc = pvlib.location.Location(meta['latitude'], meta['longitude'], tz = meta['timezone'])\n", + "sun = loc.get_solarposition(df.index)\n", + "\n", + "# calculate the POA irradiance\n", + "sky = pvlib.irradiance.isotropic(meta['tilt'], df.dhi)\n", + "df['dni'] = (df.ghi - df.dhi)/np.cos(np.deg2rad(sun.zenith))\n", + "beam = pvlib.irradiance.beam_component(meta['tilt'], meta['azimuth'], sun.zenith, sun.azimuth, df.dni)\n", + "df['poa'] = beam + sky\n", + "\n", + "# Calculate cell temperature\n", + "df_temp = pvlib.pvsystem.sapm_celltemp(df.poa, df.wind, df.Tamb, model = meta['temp_model'])\n", + "df['Tcell'] = df_temp.temp_cell\n", "\n", "# plot the AC power time series\n", - "fig, ax = plt.subplots()\n", + "fig, ax = plt.subplots(figsize=(4,3))\n", "ax.plot(df.index, df.power, 'o', alpha = 0.01)\n", "ax.set_ylim(0,7000)\n", "fig.autofmt_xdate()\n", - "ax.set_ylabel('AC Power (W)');\n", - "\n", - "# Calculate energy yield in kWh\n", - "df['energy'] = df.power * pd.to_timedelta(df.power.index.freq).total_seconds()/(3600.0)" + "ax.set_ylabel('AC Power (W)');" ] }, { @@ -115,23 +155,23 @@ "collapsed": false }, "source": [ - "# 2. Normalize \n", + "# 1: Normalize\n", "\n", - "Data normalization typically requires some additional metadata about the PV system power time series. Metadata consists of site location information, module product details, PV circuit configuration, and other items." + "Data normalization is achieved with `rdtools.normalize_with_pvwatts()`. We provide a time sereis of energy, along with keywords used to run a pvwatts model of the system. More information available in the docstring." ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": 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QEZq1mOMLdRYb8cRn4BQK57jWzXBuujgsgNwraeHInaedOq51U653i63fRwaM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\natbnuWQr7jSTFqkyOh90llwB+nMe405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xm2V0D6F9EUay8sFzaBm3tMdVHxz3nbTNhdrg/uHrtcamn6lTm+4sinbsLem6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\nE47y9977m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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -139,79 +179,52 @@ } ], "source": [ - "# Metadata\n", - "lat = -23.762028\n", - "lon = 133.874886\n", - "azimuth = 0\n", - "tilt = 20\n", - "pdc = 5100.0 # DC rating in watts\n", - "\n", - "meta = {\"altitude\":0,\n", - " \"latitude\": lat,\n", - " \"longitude\": lon,\n", - " \"Name\": \"Alice Springs\",\n", - " \"State\": \"n/a\",\n", - " \"TZ\": 8.5}\n", - "\n", - "# calculate the POA irradiance\n", - "sky = pvlib.irradiance.isotropic(tilt, df.dhi)\n", - "\n", - "sun = pvlib.solarposition.get_solarposition(df.index, lat, lon)\n", - "df['dni'] = (df.ghi - df.dhi)/np.cos(np.deg2rad(sun.zenith))\n", - "beam = pvlib.irradiance.beam_component(tilt, azimuth, sun.zenith, sun.azimuth, df.dni)\n", - "\n", - "df['poa'] = beam + sky\n", - "\n", - "# Calculate temperature\n", - "df_temp = pvlib.pvsystem.sapm_celltemp(df.poa, df.wind, df.Tamb, model = 'open_rack_cell_polymerback')\n", - "df['Tcell'] = df_temp.temp_cell\n", - "\n", - "pv = pvlib.pvsystem.systemdef(meta, surface_tilt=tilt, surface_azimuth=azimuth, \n", - " albedo=0.2, modules_per_string=6, strings_per_inverter=5)\n", - "\n", - "\n", + "# Specify the keywords for the pvwatts model\n", "pvwatts_kws = {\"poa_global\" : df.poa,\n", - " \"P_ref\" : pdc,\n", - " \"T_cell\" :df.Tcell,\n", + " \"P_ref\" : meta['pdc'],\n", + " \"T_cell\" : df.Tcell,\n", " \"G_ref\" : 1000,\n", " \"T_ref\": 25,\n", - " \"gamma_pdc\" : -0.005}\n", + " \"gamma_pdc\" : meta['tempco']}\n", "\n", + "# Calculate the normaliztion, the function also returns the relevant insolation for\n", + "# each point in the normalized PV energy timeseries\n", "normalized, insolation = rdtools.normalize_with_pvwatts(df.energy, pvwatts_kws)\n", "\n", "df['normalized'] = normalized\n", "df['insolation'] = insolation\n", "\n", - "\n", "# Plot the normalized power time series\n", "fig, ax = plt.subplots()\n", "ax.plot(normalized.index, normalized, 'o', alpha = 0.05)\n", - "ax.set_ylim(0,7)\n", + "ax.set_ylim(0,2)\n", "fig.autofmt_xdate()\n", - "ax.set_ylabel('Normalized power');" + "ax.set_ylabel('Normalized energy');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "# 3. Filter \n", + "# 2: Filter\n", + "\n", + "Data filtering is used to exclude data points that represent invalid data, create bias in the analysis, or introduce significant noise.\n", "\n", - "Data filtering is used to exclude data points that represent invalid data, create bias in the analysis, or introduce significant noise.\n" + "It can also be useful to remove outages and outliers. Sometimes outages appear as low but non-zero yield. Automatic functions for this are not yet included in `rdtools`. Such filters should be implimented by the analyst if needed." ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": 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5iDqjDLmRSsZGIWNDXraeVLe5z/ucl3llT7Npz7vWV8kVu8iYFk2gjpJUJM9s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\ndb5/7oS4/EXSzwP/2Fr7UZou1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BoizsYYzZuI+s+G1tz3IPStp/WH/GePCmGBazHPeLjV6PZmjfhlhBxZms000aED0y08dr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\nFEoyqi9Q1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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -219,44 +232,46 @@ } ], "source": [ - "# Perform rudimetary filtering, more advanced filtering will be integrated\n", - "# into Rdtools in the future\n", - "filter_criteria = ((df['normalized']>0) & (df['normalized']<2) & (df.poa>200))\n", - "\n", - "filtered = df[filter_criteria]\n", + "# Calculate a collection of boolean masks that can be used\n", + "# to filter the time series\n", + "nz_mask = (df['normalized'] > 0)\n", + "poa_mask = rdtools.poa_filter(df['poa'])\n", + "tcell_mask = rdtools.tcell_filter(df['Tcell'])\n", + "clip_mask = rdtools.clip_filter(df['power'])\n", + "\n", + "# filter the time series and keep only the columns needed for the\n", + "# remaining steps\n", + "filtered = df[nz_mask & poa_mask & tcell_mask & clip_mask]\n", "filtered = filtered[['insolation', 'normalized']]\n", "\n", - "\n", - "# Plot the normalized and filtered power time series\n", "fig, ax = plt.subplots()\n", - "ax.plot(normalized.index, normalized, 'o', alpha = 0.05)\n", "ax.plot(filtered.index, filtered.normalized, 'o', alpha = 0.05)\n", - "ax.set_ylim(0,2.4)\n", + "ax.set_ylim(0,2)\n", "fig.autofmt_xdate()\n", - "ax.set_ylabel('Normalized power');" + "ax.set_ylabel('Normalized energy');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "# 4. Aggregate\n", + "# 3: Aggregate\n", "\n", "Data is aggregated with an irradiance weighted average. This can be useful, for example with daily aggregation, to reduce the impact of high-error data points in the morning and evening." ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": 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4mHpCzRQEQUhLSmoFnfWuzfVNh6emS0hFR1MktUKavVrvutR7LoqicHGyyki5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/E7E3KRaRbjVK02gyPPDJMysGwGLlYdgkg7pGviM7CD47a1NK2l6QveO5kSomS1y2i8YOsEZ+/4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\nYII=\n", 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BCxjJpRjNJdk8kLqotG+9EBA9FEnXJh2Ltl4QMrFY5ZHT85xcKDGajFPyGqDCSCbORLHM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\n5AUi8mER2dNrWaulbw2ciGw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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -264,24 +279,80 @@ } ], "source": [ - "daily = rdtools.aggregation_insol(filtered.normalized, filtered.insolation)\n", + "daily = rdtools.aggregation_insol(filtered.normalized, filtered.insolation, frequency = 'D')\n", "\n", - "# Plot the normalized and filtered power time series along with the aggregation\n", "fig, ax = plt.subplots()\n", - "ax.plot(filtered.index, filtered.normalized, 'o', alpha = 0.05)\n", "ax.plot(daily.index, daily, 'o', alpha = 0.1)\n", - "ax.set_ylim(0,2.4)\n", + "ax.set_ylim(0,2)\n", "fig.autofmt_xdate()\n", - "ax.set_ylabel('Normalized power');" + "ax.set_ylabel('Normalized energy');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "# 5. Degradation calculation\n", + "# 4: Degradation calculation\n", "\n", - "Data is then analyzed to estimate the degradation rate representing the PV system behavior.\n" + "Data is then analyzed to estimate the degradation rate representing the PV system behavior. The results are visualized and statistics are reported, including the 68.2% confidence interval, and the P95 exceedence value." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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iLxpYWmNFg0Sv1ZBl0FDb5qYsLxOnL8yxY3J7iR3oP+zWM2z64dYO1jc5OWdK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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Calculate the degradation rate using the YoY method\n", + "yoy_rd, yoy_ci, yoy_info = rdtools.degradation_year_on_year(daily)\n", + "\n", + "\n", + "# Visualize the results\n", + "start = daily.index[0]\n", + "end = daily.index[-1]\n", + "years = (end - start).days / 365.0\n", + "yoy_values = yoy_info['YoY_values']\n", + "\n", + "x = [start, end]\n", + "y = [1, 1 + (yoy_rd * years)/100]\n", + "\n", + "fig, (ax1, ax2) = plt.subplots(1,2, figsize=(10, 3))\n", + "ax2.hist(yoy_values, label='YOY', bins=len(yoy_values)/40)\n", + "ax2.axvline(x=yoy_rd, color='black', linestyle='dashed', linewidth=3)\n", + "ax2.set_xlim(-30,45)\n", + "ax2.annotate( u' $R_{d}$ = %.2f%%/yr \\n confidence interval: \\n %.2f to %.2f %%/yr' \n", + " %(yoy_rd, yoy_ci[0], yoy_ci[1]), xy=(0.5, 0.7), xycoords='axes fraction',\n", + " bbox=dict(facecolor='white', edgecolor=None, alpha = 0))\n", + "ax2.set_xlabel('Annual degradation (%)');\n", + "\n", + "ax1.plot(daily.index, daily/yoy_info['renormalizing_factor'], 'o', alpha = 0.5)\n", + "ax1.plot(x, y, 'k--', linewidth=3)\n", + "ax1.set_xlabel('Date')\n", + "ax1.set_ylabel('Renormalized Energy')\n", + "ax1.set_ylim(0.5, 1.1)\n", + "fig.autofmt_xdate()\n", + "\n", + "fig.suptitle('Sensor-based degradation results');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In addition to the confidence interval, the year-on-year method yields an exceedence value (e.g. P95), the degradation rate that was exceeded (slower degradation) with a given probability level. The probability level is set via the `exceedence_prob` keyword in `degradation_year_on_year`." ] }, { @@ -295,25 +366,31 @@ "name": "stdout", "output_type": "stream", "text": [ - "The degradation rate calculated with ols is -0.70 %/year\n", - "with a confidence interval of -0.73 to -0.67 %/year\n", - "\n", - "The degradation rate calculated with year on year is -0.79 %/year\n", - "with a confidence interval of -0.91 to -0.70 %/year\n", - "\n" + "The P95 exceedance level is -0.92%/yr\n" ] } ], "source": [ - "ols_rd, ols_ci, ols_info = rdtools.degradation_ols(daily)\n", - "print '''The degradation rate calculated with ols is %0.2f %%/year\n", - "with a confidence interval of %0.2f to %0.2f %%/year\n", - "''' % (ols_rd, ols_ci[0], ols_ci[1])\n", + "print 'The P95 exceedance level is %.2f%%/yr' % yoy_info['exceedance_level']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Clear sky workflow\n", + "The clear sky workflow is useful in that it avoids problems due to drift or recalibration of ground-based sensors. We use `pvlib` to model the clear sky irradiance. This is renormalized to align it with ground-based measurements. Finally we use `rdtools.get_clearsky_tamb()` to model the ambient temperature on clear sky days. This modeled ambient temperature is used to model cell temperature with `pvlib`. If high quality amabient temperature data is available, that can be used instead of the modeled ambient; we proceed with the modeled ambient temperature here for illustrative purposes.\n", "\n", - "yoy_rd, yoy_ci, yoy_info = rdtools.degradation_year_on_year(daily)\n", - "print '''The degradation rate calculated with year on year is %0.2f %%/year\n", - "with a confidence interval of %0.2f to %0.2f %%/year\n", - "''' % (yoy_rd, yoy_ci[0], yoy_ci[1])" + "In this example, note that we have omitted wind data in the cell temperature calculations for illustrative purposes. Wind data can also be included when the data source is trusted for improved results\n", + "\n", + "**Note that the claculations below rely on some objects from the steps above**" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Clear Sky 0: Preliminary Calculations" ] }, { @@ -322,43 +399,136 @@ "metadata": { "collapsed": false }, - "outputs": [ - { - "data": { - "image/png": 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2Q1M8gu2EOPP0bfzdtR8hFrL4h3/4NPuP9pGMRolGw8SjYXp6erj44peSUoqf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\nD3AEeGm97Oe409iK7zQ+X9k2Rx0SvD4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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "# plot the regression through the normalized data \n", - "fig, ax = plt.subplots()\n", - "ax.plot(daily.index, daily, 'o', alpha = 0.1)\n", - "x_vals = np.array(ax.get_xlim())\n", - "y_vals = ols_info['intercept'] + ols_info['slope'] * (x_vals-min(x_vals)) / 365\n", - "ax.plot(x_vals, y_vals, '--k')\n", - "\n", - "ax.set_ylim(0,1.4)\n", - "fig.autofmt_xdate()\n", - "ax.set_ylabel('Normalized power');" + "# Calculate the clear sky POA irradiance\n", + "clearsky = loc.get_clearsky(df.index, solar_position = sun)\n", + "cs_sky = pvlib.irradiance.isotropic(meta['tilt'], clearsky.dhi)\n", + "cs_beam = pvlib.irradiance.beam_component(meta['tilt'], meta['azimuth'], sun.zenith, sun.azimuth, clearsky.dni)\n", + "df['clearsky_poa'] = cs_beam + cs_sky\n", + "\n", + "# Renormalize the clear sky POA irradiance\n", + "df['clearsky_poa'] = rdtools.irradiance_rescale(df.poa, df.clearsky_poa)\n", + "\n", + "# Calculate the clearsky temperature\n", + "df['clearsky_Tamb'] = rdtools.get_clearsky_tamb(df.index, meta['latitude'], meta['longitude'])\n", + "df_clearsky_temp = pvlib.pvsystem.sapm_celltemp(df.clearsky_poa, 0, df.clearsky_Tamb, model = meta['temp_model'])\n", + "df['clearsky_Tcell'] = df_clearsky_temp.temp_cell" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Clear Sky 1: Normalize\n", + "Normalize as in step 1 above, but this time using clearsky modeled irradiance and cell temperature" ] }, { "cell_type": "code", "execution_count": 9, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "clearsky_pvwatts_kws = {\"poa_global\" : df.clearsky_poa,\n", + " \"P_ref\" : meta['pdc'],\n", + " \"T_cell\" :df.clearsky_Tcell,\n", + " \"G_ref\" : 1000,\n", + " \"T_ref\": 25,\n", + " \"gamma_pdc\" : meta['tempco']}\n", + "\n", + "clearsky_normalized, clearsky_insolation = rdtools.normalize_with_pvwatts(df.energy, clearsky_pvwatts_kws)\n", + "\n", + "df['clearsky_normalized'] = clearsky_normalized\n", + "df['clearsky_insolation'] = clearsky_insolation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Clear Sky 2: Filter\n", + "Filter as in step 2 above, but with the addition of a clear sky index (csi) filter so we consider only points well modeled by the clear sky irradiance model." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Perform clearsky filter\n", + "cs_nz_mask = (df['clearsky_normalized'] > 0)\n", + "cs_poa_mask = rdtools.poa_filter(df['clearsky_poa'])\n", + "cs_tcell_mask = rdtools.tcell_filter(df['clearsky_Tcell'])\n", + "\n", + "csi_mask = rdtools.csi_filter(df.insolation, df.clearsky_insolation)\n", + "\n", + "\n", + "clearsky_filtered = df[cs_nz_mask & cs_poa_mask & cs_tcell_mask & clip_mask & csi_mask]\n", + "clearsky_filtered = clearsky_filtered[['clearsky_insolation', 'clearsky_normalized']]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Clear Sky 3: Aggregate\n", + "Aggregate the clear sky version of of the filtered data " + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "clearsky_daily = rdtools.aggregation_insol(clearsky_filtered.clearsky_normalized, clearsky_filtered.clearsky_insolation)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Clear Sky 4: Degradation Calculation\n", + "Estimate the degradation rate and compare to the results obtained with sensors. In this case, we see that irradiance sensor drift may have biased the sensor-based results, a problem that is corrected by the clear sky approach." + ] + }, + { + "cell_type": "code", + "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The P95 exceedance level with the clear sky analysis is -0.32%/yr\n" + ] + }, { "data": { - "image/png": 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nMUac4cM6Q+vuDnI07u/g6Qn7t8PsFyF+gzFnxrctc0MPaS/zWlos40yMhl2r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iLxpYWmNFg0Sv1ZBl0FDb5qYsLxOnL8yxY3J7iR3oP+zWM2z64dYO1jc5OWdK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+ "text/plain": [ + "" ] }, "metadata": {}, @@ -366,26 +536,59 @@ } ], "source": [ - "# Plot the year-on-year distribution\n", - "# Note that the uncertainty is from bootstrapping the median\n", - "# not the standard deviation of the plotted distribution\n", - "yoy_values = yoy_info['YoY_values']\n", - "plt.hist(yoy_values, alpha=0.5, label='YOY', bins=int(yoy_values.__len__()/20))\n", - "plt.axvline(x=yoy_rd, color='black', linestyle='dashed', linewidth=3)\n", - "#plt.legend(loc='upper right')\n", - "plt.title('Year-on-Year 15-minute Distribution') \n", - "plt.tight_layout(w_pad=1, h_pad=2.0)\n", - "plt.xlabel('Annual degradation (%)');" + "# Calculate the degradation rate using the YoY method\n", + "cs_yoy_rd, cs_yoy_ci, cs_yoy_info = rdtools.degradation_year_on_year(clearsky_daily)\n", + "\n", + "# Visualize the results\n", + "cs_start = clearsky_daily.index[0]\n", + "cs_end = clearsky_daily.index[-1]\n", + "cs_years = (cs_end - cs_start).days / 365.0\n", + "cs_yoy_values = cs_yoy_info['YoY_values']\n", + "\n", + "cs_x = [cs_start, cs_end]\n", + "cs_y = [1, 1 + (cs_yoy_rd * cs_years)/100]\n", + "\n", + "fig, (ax1, ax2) = plt.subplots(1,2, figsize=(10, 3))\n", + "ax2.hist(cs_yoy_values, label='YOY', bins=len(cs_yoy_values)/40, color = 'orangered')\n", + "ax2.axvline(x=cs_yoy_rd, color='black', linestyle='dashed', linewidth=3)\n", + "ax2.set_xlim(-30,45)\n", + "ax2.annotate( u' $R_{d}$ = %.2f%%/yr \\n confidence interval: \\n %.2f to %.2f %%/yr' \n", + " %(cs_yoy_rd, cs_yoy_ci[0], cs_yoy_ci[1]), xy=(0.5, 0.7), xycoords='axes fraction',\n", + " bbox=dict(facecolor='white', edgecolor=None, alpha = 0))\n", + "ax2.set_xlabel('Annual degradation (%)');\n", + "\n", + "ax1.plot(clearsky_daily.index, clearsky_daily/cs_yoy_info['renormalizing_factor'], 'o', color = 'orangered', alpha = 0.5)\n", + "ax1.plot(cs_x, cs_y, 'k--', linewidth=3)\n", + "ax1.set_xlabel('Date')\n", + "ax1.set_ylabel('Renormalized Energy')\n", + "ax1.set_ylim(0.5, 1.1)\n", + "fig.autofmt_xdate()\n", + "\n", + "fig.suptitle('Clear-sky-based degradation results');\n", + "\n", + "\n", + "\n", + "# repeat the plots from above\n", + "fig, (ax1, ax2) = plt.subplots(1,2, figsize=(10, 3))\n", + "ax2.hist(yoy_values, label='YOY', bins=len(yoy_values)/40)\n", + "ax2.axvline(x=yoy_rd, color='black', linestyle='dashed', linewidth=3)\n", + "ax2.set_xlim(-30,45)\n", + "ax2.annotate( u' $R_{d}$ = %.2f%%/yr \\n confidence interval: \\n %.2f to %.2f %%/yr' \n", + " %(yoy_rd, yoy_ci[0], yoy_ci[1]), xy=(0.5, 0.7), xycoords='axes fraction',\n", + " bbox=dict(facecolor='white', edgecolor=None, alpha = 0))\n", + "ax2.set_xlabel('Annual degradation (%)');\n", + "\n", + "ax1.plot(daily.index, daily/yoy_info['renormalizing_factor'], 'o', alpha = 0.5)\n", + "ax1.plot(x, y, 'k--', linewidth=3)\n", + "ax1.set_xlabel('Date')\n", + "ax1.set_ylabel('Renormalized Energy')\n", + "ax1.set_ylim(0.5, 1.1)\n", + "fig.autofmt_xdate()\n", + "\n", + "fig.suptitle('Sensor-based degradation results');\n", + "\n", + "print 'The P95 exceedance level with the clear sky analysis is %.2f%%/yr' % cs_yoy_info['exceedance_level']" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/rdtools/__init__.py b/rdtools/__init__.py index ba67d735..1ef0b315 100644 --- a/rdtools/__init__.py +++ b/rdtools/__init__.py @@ -1,9 +1,15 @@ from normalization import normalize_with_sapm from normalization import normalize_with_pvwatts +from normalization import irradiance_rescale from degradation import degradation_ols from degradation import degradation_classical_decomposition from degradation import degradation_year_on_year from aggregation import aggregation_insol +from clearsky_temperature import get_clearsky_tamb +from filtering import csi_filter +from filtering import poa_filter +from filtering import tcell_filter +from filtering import clip_filter from ._version import get_versions __version__ = get_versions()['version'] diff --git a/rdtools/clearsky_temperature.py b/rdtools/clearsky_temperature.py new file mode 100644 index 00000000..c84e4846 --- /dev/null +++ b/rdtools/clearsky_temperature.py @@ -0,0 +1,110 @@ +import h5py +from numpy import arange +from datetime import timedelta +import math +import pandas as pd +import pkg_resources +import numpy as np + + +def get_clearsky_tamb(times, latitude, longitude, window_size=40, gauss_std=20): + ''' + :param times: DateTimeIndex in local time + :param latitude: float degrees + :param longitude: float degrees + :return: pandas Series of cell sky ambient temperature + ''' + + filepath = pkg_resources.resource_filename('rdtools', 'data/temperature.hdf5') + + buffer = timedelta(days=window_size) + freq_actual = pd.infer_freq(times) + dt_daily = pd.date_range(times[0] - buffer, times[-1] + buffer, freq='D') + + f = h5py.File(filepath, "r") + + a = f['temperature']['day'] + b = f['temperature']['night'] + + lons = len(a[:, 0, 0]) + lats = len(a[0, :, 0]) + + lon_temp = longitude - 180 + if lon_temp < 0: + lon_temp += 360 + lon_index = round(float(lons) * float(lon_temp) / 360.0) + lat_index = round(float(lats) * (90.0 - float(latitude)) / 180.0) + + df = pd.DataFrame(index=dt_daily) + df['month'] = df.index.month + + ave_day = [] + ave_night = [] + + radius = 0 + for k in range(12): + + day = _get_pixel_value(a, lon_index, lat_index, k, radius) + night = _get_pixel_value(b, lon_index, lat_index, k, radius) + + if day == float("NaN"): + day = a[:, lat_index, k] + if night == float("NaN"): + night = a[:, lat_index, k] + + ave_day.append(day) + ave_night.append(night) + + for i in range(12): + df.loc[df['month'] == i + 1, 'day'] = ave_day[i] + df.loc[df['month'] == i + 1, 'night'] = ave_night[i] + + df = df.rolling(window=window_size, win_type='gaussian', min_periods=1, center=True).mean(std=gauss_std) + + df = df.resample(freq_actual).interpolate(method='linear') + df['month'] = df.index.month + + df = df.reindex(times, method='nearest') + + utc_offsets = [y.utcoffset().total_seconds() / 3600.0 for y in df.index] + + def solar_noon_offset(utc_offset): + return longitude / 180.0 * 12.0 - utc_offset + + df['solar_noon_offset'] = solar_noon_offset(np.array(utc_offsets)) + + df['hour_of_day'] = df.index.hour + df.index.minute / 60.0 + df['Clear Sky Temperature (C)'] = _get_temperature(df['hour_of_day'].values, df['night'].values,\ + df['day'].values, df['solar_noon_offset'].values) + return df['Clear Sky Temperature (C)'] + + +def _get_pixel_value(data, i, j, k, radius): + list = [] + for x in arange(i - radius, i + radius + 1): + if x < 0 or x >= len(data[:, 0, 0]): + continue + for y in arange(j - radius, j + radius + 1): + if y < 0 or y >= len(data[0, :, 0]): + continue + + value = data[x, y, k] + if value == float("NaN"): + continue + + list.append(value) + + if len(list) == 0: + return float("NaN") + + return pd.Series(list).median() + + +def _get_temperature(hour_of_day, night_temp, day_temp, solar_noon_offset): + hour_offset = 8.0 + solar_noon_offset + temp_scaler = 0.7 + t_diff = day_temp - night_temp + t_ave = (day_temp + night_temp) / 2.0 + v = np.cos((hour_of_day + hour_offset) / 24.0 * 2.0 * np.pi) + t = t_diff * 0.5 * v * temp_scaler + t_ave + return t diff --git a/rdtools/data/temperature.hdf5 b/rdtools/data/temperature.hdf5 new file mode 100644 index 00000000..c003cbcf Binary files /dev/null and b/rdtools/data/temperature.hdf5 differ diff --git a/rdtools/degradation.py b/rdtools/degradation.py index 2434d1d1..c88a8281 100644 --- a/rdtools/degradation.py +++ b/rdtools/degradation.py @@ -168,7 +168,7 @@ def degradation_classical_decomposition(normalized_energy): return (Rd_pct, Rd_CI, calc_info) -def degradation_year_on_year(normalized_energy, recenter=True): +def degradation_year_on_year(normalized_energy, recenter=True, exceedance_prob=95): ''' Description ----------- @@ -180,6 +180,7 @@ def degradation_year_on_year(normalized_energy, recenter=True): corrected performance ratio timeseries index in monthly format recenter: bool, default value True specify whether data is centered to normalized yield of 1 based on first year + exceedance_prob (float): the probability level to use for exceedance value calculation Returns ------- @@ -191,6 +192,8 @@ def degradation_year_on_year(normalized_energy, recenter=True): calc_info: dict ('YoY_values') pandas series of right-labeled year on year slopes ('renormalizing_factor') float of value used to recenter data + ('exceedance_level') the degradation rate that was ouperformed with + probability of exceedance_prob ''' # Ensure the data is in order @@ -199,7 +202,7 @@ def degradation_year_on_year(normalized_energy, recenter=True): normalized_energy.index.name = 'dt' # Detect sub-daily data: - if min(np.diff(normalized_energy.index.values, n=1)) < np.timedelta64(24, 'h'): + if min(np.diff(normalized_energy.index.values, n=1)) < np.timedelta64(23, 'h'): raise ValueError('normalized_energy must not be more frequent than daily') # Detect less than 2 years of data @@ -233,19 +236,26 @@ def degradation_year_on_year(normalized_energy, recenter=True): yoy_result = df.yoy.dropna() + calc_info = { + 'YoY_values': yoy_result, + 'renormalizing_factor': renorm + } + + if not len(yoy_result): + raise ValueError('no year-over-year aggregated data pairs found') + Rd_pct = yoy_result.median() - # bootstrap to determine 68% CI + # bootstrap to determine 68% CI and exceedance probability n1 = len(yoy_result) reps = 10000 xb1 = np.random.choice(yoy_result, (n1, reps), replace=True) mb1 = np.median(xb1, axis=0) Rd_CI = np.percentile(mb1, [15.9, 84.1]) - calc_info = { - 'YoY_values': yoy_result, - 'renormalizing_factor': renorm - } + P_level = np.percentile(mb1, 100 - exceedance_prob) + + calc_info['exceedance_level'] = P_level return (Rd_pct, Rd_CI, calc_info) diff --git a/rdtools/filtering.py b/rdtools/filtering.py new file mode 100644 index 00000000..09949ce2 --- /dev/null +++ b/rdtools/filtering.py @@ -0,0 +1,58 @@ +import pandas as pd + + +def poa_filter(poa, low_irradiance_cutoff=200, high_irradiance_cutoff=1200): + # simple filter based on irradiance sensors + return (poa > low_irradiance_cutoff) & (poa < high_irradiance_cutoff) + + +def tcell_filter(tcell, low_tcell_cutoff=-50, high_tcell_cutoff=110): + # simple filter based on temperature sensors + return (tcell > low_tcell_cutoff) & (tcell < high_tcell_cutoff) + + +def clip_filter(power, quant=0.98, low_power_cutoff=0.01): + ''' + Filter data points likely to be affected by clipping + with power greater than or equal to 99% of the 'quant' + quantile and less than 'low_power_cutoff' + + Parameters + ---------- + power: Pandas series (numeric) + AC power + quant: float + threshold for quantile + low_power_cutoff + + Returns + ------- + Pandas Series (boolean) + mask to exclude points equal to and + above 99% of the percentile threshold + ''' + v = power.quantile(quant) + return (power < v * 0.99) & (power > low_power_cutoff) + + +def csi_filter(measured_poa, clearsky_poa, threshold=0.15): + ''' + Filtering based on clear sky index (csi) + + Parameters + ---------- + measured_poa: Pandas series (numeric) + Plane of array irradiance based on measurments + clearsky_poa: Pandas series (numeric) + Plane of array irradiance based on a clear sky model + threshold: float + threshold for filter + + Returns + ------- + Pandas Series (boolean) + mask to exclude points below the threshold + ''' + + csi = measured_poa / clearsky_poa + return (csi >= 1.0 - threshold) & (csi <= 1.0 + threshold) diff --git a/rdtools/normalization.py b/rdtools/normalization.py index 8824100b..2132e768 100644 --- a/rdtools/normalization.py +++ b/rdtools/normalization.py @@ -7,6 +7,7 @@ import pandas as pd import pvlib import numpy as np +from scipy.optimize import minimize def pvwatts_dc_power(poa_global, P_ref, T_cell=None, G_ref=1000, T_ref=25, gamma_pdc=None): @@ -191,7 +192,6 @@ def sapm_dc_power(pvlib_pvsystem, met_data): .pvwatts_dc(g_poa_effective=effective_poa, temp_cell=temp_cell['temp_cell']) - return dc_power, effective_poa @@ -271,3 +271,31 @@ def delta_index(series): deltas = (series.index - series.index.shift(-1)).astype('int64') / (10.0**9 * 3600.0) return deltas, np.mean(deltas) + + +def irradiance_rescale(irrad, modeled_irrad): + ''' + Attempts to rescale modeled irradiance to match measured irradiance on clear days + Parameters + ---------- + irrad: Pandas Series (numeric) + measured irradiance time series + modeled_irrad: Pandas Series (numeric) + modeled irradiance time series + Returns + ------- + Pandas Series (numeric): resacaled modeled irradaince time series + ''' + def _rmse(fact): + rescaled_modeled_irrad = fact * modeled_irrad + csi = irrad / rescaled_modeled_irrad + filt = (csi >= 0.8) & (csi <= 1.2) + rmse = np.sqrt(((rescaled_modeled_irrad[filt] - irrad[filt]) ** 2.0).mean()) + return rmse + + guess = np.percentile(irrad.dropna(), 90) / np.percentile(modeled_irrad.dropna(), 90) + min_result = minimize(_rmse, guess, method='Nelder-Mead') + factor = min_result['x'][0] + + out_irrad = factor * modeled_irrad + return out_irrad diff --git a/requirements.txt b/requirements.txt index 3262dd18..95ac68bb 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,6 @@ nose==1.3.7 numpy==1.11.2 -pandas==0.19.1 +pandas==0.19.2 patsy==0.4.1 pvlib==0.4.1 python-dateutil==2.6.0 diff --git a/tests/clearsky_temperature_test.py b/tests/clearsky_temperature_test.py new file mode 100644 index 00000000..39fa5cf2 --- /dev/null +++ b/tests/clearsky_temperature_test.py @@ -0,0 +1,41 @@ +import unittest +import pandas as pd +from datetime import datetime + +from rdtools.clearsky_temperature import get_clearsky_tamb + + +class ClearSkyTemperatureTestCase(unittest.TestCase): + '''Unit tests for clearsky_temperature module''' + + def setUp(self): + + dt = pd.date_range(datetime(2015,1,1), datetime(2015,2,1), freq='15min', tz = 'Asia/Shanghai') + + self.china_west = get_clearsky_tamb(dt, 37.951721, 80.609843) + self.china_east = get_clearsky_tamb(dt, 36.693692, 117.699686) + + #self.china_west.to_csv("west.csv") + #self.china_east.to_csv("east.csv") + + + # Test for shifting temperature peak with longitude for same timezone + def test_hour_offset(self): + + df = pd.DataFrame(index = self.china_west.index) + df['west'] = self.china_west + df['east'] = self.china_east + df['hour'] = df.index.hour + + west_hottest_hour = df.sort_values(by='west', ascending=False)['hour'].iloc[0] + east_hottest_hour = df.sort_values(by='east', ascending=False)['hour'].iloc[0] + + #print west_hottest_hour , east_hottest_hour + + self.assertTrue(west_hottest_hour > 12) + self.assertTrue(east_hottest_hour > 12) + self.assertTrue(west_hottest_hour > east_hottest_hour) + + +if __name__ == '__main__': + unittest.main() diff --git a/tests/run_tests b/tests/run_tests index c3b767ba..4e782eb1 100755 --- a/tests/run_tests +++ b/tests/run_tests @@ -3,3 +3,4 @@ python -m tests.degradation_test python -m tests.normalization_pvwatts_test python -m tests.normalization_sapm_test +python -m tests.clearsky_temperature_test