{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![tutorialpromo](images/tutorial_banner.PNG)\n",
    "\n",
    "# Tutorial 4 - PV Module Performance\n",
    "\n",
    "Now that we know how to obtain the plane of array (POA) irradiance and cell temperature, let's calculate a module's performance assuming a subset of irradiance and temperature conditions. The objectives for this tutorial are to use pvlib python to do the following:\n",
    "\n",
    "1. Retrieve a set of module CEC parameters from the latest [NREL System Advisor Model (SAM)](https://sam.nrel.gov/) library.\n",
    "2. Calculate the single diode model (SDM) parameters at standard test conditions (STC) and for a set of PV module test conditions known as IEC61853.\n",
    "3. Produce an IV curve for each of the IEC61853 test conditions.\n",
    "4. Derive the California Energy Commission (CEC) model parameters based on standard CEC test measurements.\n",
    "\n",
    "![Overview](images/tutorial_4_overview.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  PV Concepts:\n",
    "\n",
    "- STC Parameters\n",
    "- IV Curve\n",
    "- PV module energy conversion models\n",
    "    - Point Models\n",
    "        - [PVWatts](https://pvwatts.nrel.gov/)\n",
    "        - [Sandia Array Performance Model (SAPM)](https://energy.sandia.gov/wp-content/gallery/uploads/043535.pdf)\n",
    "    - Continuous Models\n",
    "        - CEC\n",
    "        - [PVSyst](https://www.pvsyst.com/)\n",
    "        - [DeSoto](https://doi.org/10.1016/j.solener.2005.06.010)\n",
    "- Low light and temperature module performance\n",
    "- IEC 61853 standard \n",
    "\n",
    "## Python Concepts:\n",
    "\n",
    "- [`numpy.meshgrid`](https://numpy.org/doc/stable/reference/generated/numpy.meshgrid.html)\n",
    "- `try: except` clauses to catch errors\n",
    "- Transpose a Pandas dataframe\n",
    "- [Pandas series and index string methods](https://pandas.pydata.org/pandas-docs/stable/user_guide/text.html#string-methods): _e.g._ `df.index.str.startswith('Canadian')` where `df` is a dataframe of PV modules."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Standard Test Conditions (STC)\n",
    "\n",
    "The most basic condition is called \"standard test conditions\" or STC, which is considered the reference for most PV modules. For example, all of the PV modules in the SAM CEC module database list their nameplate power at STC.\n",
    "* irradiance: 1000-W/m²\n",
    "* cell temperature: 25°C\n",
    "* angle of incidence (AOI): 0°\n",
    "* spectrum: AM1.5g (ASTM G-173)\n",
    "\n",
    "### Air mass (AM)\n",
    "\n",
    "The standard reference AM1.5g (ASTM G-173) is defined as the solar spectrum of global irradiance that passes through 1.5 atmospheres. For more information see [NREL Solar Spectra](https://www.nrel.gov/grid/solar-resource/spectra.html)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IEC 61853 test conditions\n",
    "\n",
    "Another common set of test conditions is the IEC 61853 standard which provides a PV module test matrix that covers the expected range of inicident irradiance and cell temperatures for PV modules assuming that the irradiance is normal and the solar spectrum is similar to AM1.5g.\n",
    "\n",
    "* irradiance (W/m²): 100, 200, 400, 600, 800, 1000, 1100\n",
    "* module temperature (°C): 15, 25, 50, 75\n",
    "* angle of incidence: 0°\n",
    "* spectrum: AM1.5g (ASTM G-173)\n",
    "\n",
    "The figure below shows IEC 61853 test results performed at CFV labs:\n",
    "\n",
    "![Overview](images/t4_PANOverview.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Certain combinations are excluded because they're unlikely: (1100-W/m², 15°C), (400-W/m², 75°C), (200-W/m², 50°C), (200-W/m², 75°C), (100-W/m², 50°C), and (100-W/m², 75°C). The figure below shows SAM parametrs fit to IEC61853 test results for two different cell technologies. The white space shows combinations of irradiance and temperature which were intentionally excluded from testing.\n",
    "\n",
    "![Overview](images/t4_SingleDiodeParameterBehavior_to_TemperatureandIrradiance.PNG)\n",
    "\n",
    "Attribution: [NREL Dobos, Freeman 2019](https://www.nrel.gov/docs/fy19osti/68637.pdf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# if running on google colab, uncomment the next line and execute this cell to install the dependencies and prevent \"ModuleNotFoundError\" in later cells:\n",
    "# !pip install -r https://raw.githubusercontent.com/PVSC-Python-Tutorials/PVSC50/main/requirements.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import pvlib and other useful python packages\n",
    "import pvlib\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array([[15, 25, 50, 75],\n",
       "        [15, 25, 50, 75],\n",
       "        [15, 25, 50, 75],\n",
       "        [15, 25, 50, 75],\n",
       "        [15, 25, 50, 75],\n",
       "        [15, 25, 50, 75],\n",
       "        [15, 25, 50, 75]]),\n",
       " array([[ 100,  100,  100,  100],\n",
       "        [ 200,  200,  200,  200],\n",
       "        [ 400,  400,  400,  400],\n",
       "        [ 600,  600,  600,  600],\n",
       "        [ 800,  800,  800,  800],\n",
       "        [1000, 1000, 1000, 1000],\n",
       "        [1100, 1100, 1100, 1100]])]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set STC reference conditions\n",
    "E0 = 1000  # W/m^2\n",
    "T0 = 25  # degC\n",
    "\n",
    "# set the IEC61853 test matrix\n",
    "E_IEC61853 = [100, 200, 400, 600, 800, 1000, 1100]  # irradiances [W/m^2]\n",
    "T_IEC61853 = [15, 25, 50, 75]  # temperatures [degC]\n",
    "\n",
    "# create a meshgrid of temperatures and irradiances\n",
    "# for all 28 combinations in the test matrix\n",
    "IEC61853 = np.meshgrid(T_IEC61853, E_IEC61853)\n",
    "\n",
    "# meshgrid returns two 2-D arrays in the same order as the input arguments\n",
    "# so the first item in the output is a 2-D array of temperatures and\n",
    "# the second item is the mesh of irradiances\n",
    "# display temperature and irradiance test matrices\n",
    "IEC61853"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Single Diode Model (SDM) & IV Curve\n",
    "\n",
    "PV module performance can be modeled using *point* or *continuous* IV-curve models. \n",
    "\n",
    "Point models like PVWatts and The Sandia Array Performance Model (SAPM, _aka_ King model) yield the current (I), voltage (V), and power (P) at a single or discrete set of points. \n",
    "PVWatts only yields the performance at the max power point (MPP) of the module, whereas the SAPM also yields the short circuit current (Isc), open circuit voltage (Voc).\n",
    "\n",
    "Continuous IV curve models like the CEC, PVsyst, and DeSoto models yield a relation between current and voltage called an IV curve, and therefore yield a continuous set of (V, I) points spanning from Isc to Voc and beyond. The domain of the IV curve is in quadrants 1, 2, and 4 where voltage is on the horizontal and current is on the vertical axis. The figure below from [PV Education PVCDROM](https://www.pveducation.org/pvcdrom/welcome-to-pvcdrom) shows an IV curve of an \"ideal\" cell.\n",
    "\n",
    "[![IV curve](images/t4_PVEducation_IVCurve.PNG)](https://www.pveducation.org/pvcdrom/modules-and-arrays/mismatch-effects)\n",
    "\n",
    "Attribution: [PV Education, UNSW, ASU, _et al._](https://www.pveducation.org/pvcdrom/modules-and-arrays/mismatch-effects)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The IV curve relationship is based on an electrical analog called the \"single diode model\" or SDM which is defined by 5 parameters: the light current ($I_L$), shunt resistance ($R_{sh}$), series resistance ($R_s$), diode saturation current ($I_o$ or $I_{sat}$), and the diode ideality factor ($n$). Other symbols for diode ideality factor are ($\\gamma$) used by PVsyst and ($a$) used by SAM, but ($\\gamma$) is also frequently used for power temperature coefficient. This \"ideal\" cell is described by the electrical schematic drawing below.\n",
    "\n",
    "[![single diode model](https://www.sandia.gov/app/uploads/sites/243/2022/11/Single-Diode-EC2.png)](https://www.sandia.gov/app/uploads/sites/243/2022/11/Single-Diode-EC2.png)\n",
    "\n",
    "\n",
    "Attribution: [Sandia NL PV Performance Modeling Collaborative](https://pvpmc.sandia.gov/modeling-steps/2-dc-module-iv/single-diode-equivalent-circuit-models/)\n",
    "\n",
    "\n",
    "Combining the components in the SDM using Ohm's and Kirchhoff's laws yields the following equation, which is implicit because current (I) is on both sides of the equation, and cannot be solved explicitly:\n",
    "\n",
    "$$ I = I_L - I_o \\left( \\exp \\left( \\frac{V + I R_s}{n V_T} \\right) - 1 \\right) - \\frac{V + I R_s}{R_{sh}} $$\n",
    "\n",
    "with the diode voltage ($V_D = V + I R_s$), the diode current ($I_D$) given by the ideal diode equation:\n",
    "\n",
    "$$ I_D = I_o \\left( \\exp \\left( \\frac{V_D}{n V_T} \\right) - 1 \\right) $$\n",
    "\n",
    "the thermal voltage ($V_T = k_T / q_e$), elementary charge ($q_e$), Boltzmann constant ($k_T$), and the shunt current ($I_{sh} = V_D / R_{sh}$)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CEC Model (_aka_ SAM or 6-parameter model)\n",
    "\n",
    "The California Energy Commision (CEC) contracted authorized testing labs to measure at STC the nameplate power (Pmp), Isc, Voc, and the MPP voltage and current (Vmp, Imp), as well as Isc and Voc temperature coefficients, the module dimensions, the number of series cells (Ns), parallel substrings (Np), module area in m² (Ac), and more. Tables of the CEC module parameters are available from the [Solar Equipment Lists](https://www.energy.ca.gov/programs-and-topics/programs/solar-equipment-lists). These measurements have been fit to the SDM by the NREL System Advisor Model (SAM) and stored in a CSV file that is bundled with SAM. You can access the [SAM library on GitHub](https://github.com/NREL/SAM/tree/develop/deploy/libraries). This SAM library of module coefficients derived from the CEC measurements are collectively called CEC modules and the SAM model that uses the derived SDM coefficients is called the CEC model. The CEC model used in SAM is sometimes also called the 6-parameter model because of the `Adjust` additional parameter which differentiates it from the DeSoto model.\n",
    "\n",
    "### pvlib python\n",
    "\n",
    "There are several functions we can use in pvlib python:\n",
    "\n",
    "* [`pvlib.pvsystem.retrieve_sam()`](https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.pvsystem.retrieve_sam.html)\n",
    "* [`pvlib.pvsystem.calcparams_cec()`](https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.pvsystem.calcparams_cec.html)\n",
    "* [`pvlib.pvsystem.singlediode()`](https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.pvsystem.singlediode.html)\n",
    "* [`pvlib.ivtools.sdm.fit_cec_sam()`](https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.ivtools.sdm.fit_cec_sam.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Technology</th>\n",
       "      <th>Bifacial</th>\n",
       "      <th>STC</th>\n",
       "      <th>PTC</th>\n",
       "      <th>A_c</th>\n",
       "      <th>Length</th>\n",
       "      <th>Width</th>\n",
       "      <th>N_s</th>\n",
       "      <th>I_sc_ref</th>\n",
       "      <th>V_oc_ref</th>\n",
       "      <th>...</th>\n",
       "      <th>a_ref</th>\n",
       "      <th>I_L_ref</th>\n",
       "      <th>I_o_ref</th>\n",
       "      <th>R_s</th>\n",
       "      <th>R_sh_ref</th>\n",
       "      <th>Adjust</th>\n",
       "      <th>gamma_r</th>\n",
       "      <th>BIPV</th>\n",
       "      <th>Version</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A10Green_Technology_A10J_S72_175</th>\n",
       "      <td>Mono-c-Si</td>\n",
       "      <td>0</td>\n",
       "      <td>175.0914</td>\n",
       "      <td>151.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.576</td>\n",
       "      <td>0.825</td>\n",
       "      <td>72</td>\n",
       "      <td>5.17</td>\n",
       "      <td>43.99</td>\n",
       "      <td>...</td>\n",
       "      <td>1.981696</td>\n",
       "      <td>5.175703</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.316688</td>\n",
       "      <td>287.102203</td>\n",
       "      <td>16.057121</td>\n",
       "      <td>-0.5072</td>\n",
       "      <td>N</td>\n",
       "      <td>SAM 2018.11.11 r2</td>\n",
       "      <td>1/3/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A10Green_Technology_A10J_S72_180</th>\n",
       "      <td>Mono-c-Si</td>\n",
       "      <td>0</td>\n",
       "      <td>179.928</td>\n",
       "      <td>155.7</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.576</td>\n",
       "      <td>0.825</td>\n",
       "      <td>72</td>\n",
       "      <td>5.31</td>\n",
       "      <td>44.06</td>\n",
       "      <td>...</td>\n",
       "      <td>1.988414</td>\n",
       "      <td>5.316148</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.299919</td>\n",
       "      <td>259.047943</td>\n",
       "      <td>16.418983</td>\n",
       "      <td>-0.5072</td>\n",
       "      <td>N</td>\n",
       "      <td>SAM 2018.11.11 r2</td>\n",
       "      <td>1/3/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A10Green_Technology_A10J_S72_185</th>\n",
       "      <td>Mono-c-Si</td>\n",
       "      <td>0</td>\n",
       "      <td>184.7016</td>\n",
       "      <td>160.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.576</td>\n",
       "      <td>0.825</td>\n",
       "      <td>72</td>\n",
       "      <td>5.43</td>\n",
       "      <td>44.14</td>\n",
       "      <td>...</td>\n",
       "      <td>1.984817</td>\n",
       "      <td>5.435676</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.311962</td>\n",
       "      <td>298.424438</td>\n",
       "      <td>15.688233</td>\n",
       "      <td>-0.5072</td>\n",
       "      <td>N</td>\n",
       "      <td>SAM 2018.11.11 r2</td>\n",
       "      <td>1/3/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A10Green_Technology_A10J_M60_220</th>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>0</td>\n",
       "      <td>219.876</td>\n",
       "      <td>189.1</td>\n",
       "      <td>1.624</td>\n",
       "      <td>1.632</td>\n",
       "      <td>0.995</td>\n",
       "      <td>60</td>\n",
       "      <td>7.95</td>\n",
       "      <td>36.06</td>\n",
       "      <td>...</td>\n",
       "      <td>1.673094</td>\n",
       "      <td>7.959062</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.140393</td>\n",
       "      <td>123.168404</td>\n",
       "      <td>21.875164</td>\n",
       "      <td>-0.5196</td>\n",
       "      <td>N</td>\n",
       "      <td>SAM 2018.11.11 r2</td>\n",
       "      <td>1/3/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A10Green_Technology_A10J_M60_225</th>\n",
       "      <td>Multi-c-Si</td>\n",
       "      <td>0</td>\n",
       "      <td>224.9856</td>\n",
       "      <td>193.5</td>\n",
       "      <td>1.624</td>\n",
       "      <td>1.632</td>\n",
       "      <td>0.995</td>\n",
       "      <td>60</td>\n",
       "      <td>8.04</td>\n",
       "      <td>36.24</td>\n",
       "      <td>...</td>\n",
       "      <td>1.671782</td>\n",
       "      <td>8.047206</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.14737</td>\n",
       "      <td>164.419479</td>\n",
       "      <td>20.698376</td>\n",
       "      <td>-0.5196</td>\n",
       "      <td>N</td>\n",
       "      <td>SAM 2018.11.11 r2</td>\n",
       "      <td>1/3/2019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "                                  Technology Bifacial       STC    PTC    A_c  \\\n",
       "A10Green_Technology_A10J_S72_175   Mono-c-Si        0  175.0914  151.2    1.3   \n",
       "A10Green_Technology_A10J_S72_180   Mono-c-Si        0   179.928  155.7    1.3   \n",
       "A10Green_Technology_A10J_S72_185   Mono-c-Si        0  184.7016  160.2    1.3   \n",
       "A10Green_Technology_A10J_M60_220  Multi-c-Si        0   219.876  189.1  1.624   \n",
       "A10Green_Technology_A10J_M60_225  Multi-c-Si        0  224.9856  193.5  1.624   \n",
       "\n",
       "                                 Length  Width N_s I_sc_ref V_oc_ref  ...  \\\n",
       "A10Green_Technology_A10J_S72_175  1.576  0.825  72     5.17    43.99  ...   \n",
       "A10Green_Technology_A10J_S72_180  1.576  0.825  72     5.31    44.06  ...   \n",
       "A10Green_Technology_A10J_S72_185  1.576  0.825  72     5.43    44.14  ...   \n",
       "A10Green_Technology_A10J_M60_220  1.632  0.995  60     7.95    36.06  ...   \n",
       "A10Green_Technology_A10J_M60_225  1.632  0.995  60     8.04    36.24  ...   \n",
       "\n",
       "                                     a_ref   I_L_ref I_o_ref       R_s  \\\n",
       "A10Green_Technology_A10J_S72_175  1.981696  5.175703     0.0  0.316688   \n",
       "A10Green_Technology_A10J_S72_180  1.988414  5.316148     0.0  0.299919   \n",
       "A10Green_Technology_A10J_S72_185  1.984817  5.435676     0.0  0.311962   \n",
       "A10Green_Technology_A10J_M60_220  1.673094  7.959062     0.0  0.140393   \n",
       "A10Green_Technology_A10J_M60_225  1.671782  8.047206     0.0   0.14737   \n",
       "\n",
       "                                    R_sh_ref     Adjust gamma_r BIPV  \\\n",
       "A10Green_Technology_A10J_S72_175  287.102203  16.057121 -0.5072    N   \n",
       "A10Green_Technology_A10J_S72_180  259.047943  16.418983 -0.5072    N   \n",
       "A10Green_Technology_A10J_S72_185  298.424438  15.688233 -0.5072    N   \n",
       "A10Green_Technology_A10J_M60_220  123.168404  21.875164 -0.5196    N   \n",
       "A10Green_Technology_A10J_M60_225  164.419479  20.698376 -0.5196    N   \n",
       "\n",
       "                                            Version      Date  \n",
       "A10Green_Technology_A10J_S72_175  SAM 2018.11.11 r2  1/3/2019  \n",
       "A10Green_Technology_A10J_S72_180  SAM 2018.11.11 r2  1/3/2019  \n",
       "A10Green_Technology_A10J_S72_185  SAM 2018.11.11 r2  1/3/2019  \n",
       "A10Green_Technology_A10J_M60_220  SAM 2018.11.11 r2  1/3/2019  \n",
       "A10Green_Technology_A10J_M60_225  SAM 2018.11.11 r2  1/3/2019  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# use pvlib python to retrieve CEC module parameters from the SAM libraries\n",
    "# with the \"name\" argument set to \"CECMod\"\n",
    "CECMODS = pvlib.pvsystem.retrieve_sam(name='CECMod')\n",
    "\n",
    "# the CEC modules are a pandas DataFrame oriented as columns, transpose to arrange\n",
    "# as indices\n",
    "CECMODS.T.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### CEC modules library\n",
    "\n",
    "Periodically a static copy of CEC module parameters is copied from the SAM library to pvlib python. The modules are roughly named according the following scheme:\n",
    "\n",
    "    <manufacturer name> <model name>\n",
    "\n",
    "Whitespace, dashes, and other non-alphanumerical characters are all replaced by underscores in pvlib python.\n",
    "\n",
    "EG: \"Canadian Solar Inc. CS6X-300M\" becomes\n",
    "\n",
    "    Canadian_Solar_Inc__CS6X_300M\n",
    "    \n",
    "\n",
    "<div class=\"alert alert-block alert-info\">\n",
    "<b>Let's Explore:</b> <a href='https://www.ecodirect.com/Canadian-Solar-CS6X-300M-300W-36V-PV-Panel-p/canadian-solar-cs6x-300m.htm'> Click here to see the panel's Datasheet. </a></div>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The main CEC module parameters are defined as follows:\n",
    "\n",
    "| parameter    | data type | description and units                                                                         |\n",
    "| ------------ | --------- | --------------------------------------------------------------------------------------------- |\n",
    "| `Technology` | string    | one of \"Mono-c-Si\", \"Multi-c-Si\", \"Thin Film\", \"CdTe\", or \"CIGS\" families of cells            |\n",
    "| `Bifacial`   | boolean   | is bifacial?                                                                                  |\n",
    "| `STC`        | float     | nameplate in W at STC                                                                         |\n",
    "| `PTC`        | float     | nameplate in W at PVUSA test conditions (1-sun, 20&deg; ambient temperature, 1-m/s windspeed) |\n",
    "| `A_c`        | float     | module area in m&sup2;                                                                        |\n",
    "| `Length`     | float     | module length in m;                                                                           |\n",
    "| `Width`      | float     | module width in m;                                                                            |\n",
    "| `N_s`        | int       | number of cells in series                                                                     |\n",
    "| `I_sc_ref`   | float     | short circuit current in A at reference condition                                             |\n",
    "| `V_oc_ref`   | float     | open circuit voltage in V at reference condition                                              |\n",
    "| `I_mp_ref`   | float     | max power current in A at reference condition                                                 |\n",
    "| `V_mp_ref`   | float     | max power voltage in V at reference condition                                                 |\n",
    "| `alpha_sc`   | float     | short circuit current temperature coefficient in A/&Delta;&deg;C                              |\n",
    "| `beta_oc`    | float     | open circuit voltage temperature coefficient in V/&Delta;&deg;C                               |\n",
    "| `T_NOCT`     | float     | normal operating cell temperature in &deg;C                                                   |\n",
    "| `a_ref`      | float     | diode ideality factor                                                                         |\n",
    "| `I_L_ref`    | float     | light or photogenerated current at reference condition in A                                   |\n",
    "| `I_o_ref`    | float     | diode saturation current at reference condition in A                                          |\n",
    "| `R_s`        | float     | series resistance in &Omega;                                                                  |\n",
    "| `R_sh_ref`   | float     | shunt resistance at reference condition in &Omega;                                            |\n",
    "| `Adjust`     | float     | adjustment to short circuit temperature coefficient in %                                      |\n",
    "| `gamma_r`    | float     | power temperature coefficient at reference condition in %/&Delta;&deg;C                       |\n",
    "| `BIPV`       | boolean   | is building integrated PV?                                                                    |"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Technology</th>\n",
       "      <th>Bifacial</th>\n",
       "      <th>STC</th>\n",
       "      <th>PTC</th>\n",
       "      <th>A_c</th>\n",
       "      <th>Length</th>\n",
       "      <th>Width</th>\n",
       "      <th>N_s</th>\n",
       "      <th>I_sc_ref</th>\n",
       "      <th>V_oc_ref</th>\n",
       "      <th>...</th>\n",
       "      <th>a_ref</th>\n",
       "      <th>I_L_ref</th>\n",
       "      <th>I_o_ref</th>\n",
       "      <th>R_s</th>\n",
       "      <th>R_sh_ref</th>\n",
       "      <th>Adjust</th>\n",
       "      <th>gamma_r</th>\n",
       "      <th>BIPV</th>\n",
       "      <th>Version</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Canadian_Solar_Inc__CS5P_220M</th>\n",
       "      <td>Mono-c-Si</td>\n",
       "      <td>0</td>\n",
       "      <td>219.961</td>\n",
       "      <td>200.1</td>\n",
       "      <td>1.7</td>\n",
       "      <td>1.602</td>\n",
       "      <td>1.061</td>\n",
       "      <td>96</td>\n",
       "      <td>5.1</td>\n",
       "      <td>59.4</td>\n",
       "      <td>...</td>\n",
       "      <td>2.635926</td>\n",
       "      <td>5.11426</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.066023</td>\n",
       "      <td>381.254425</td>\n",
       "      <td>8.619516</td>\n",
       "      <td>-0.476</td>\n",
       "      <td>N</td>\n",
       "      <td>SAM 2018.11.11 r2</td>\n",
       "      <td>1/3/2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canadian_Solar_Inc__CS6P_220M</th>\n",
       "      <td>Mono-c-Si</td>\n",
       "      <td>0</td>\n",
       "      <td>219.775</td>\n",
       "      <td>198.5</td>\n",
       "      <td>1.549</td>\n",
       "      <td>1.615</td>\n",
       "      <td>0.959</td>\n",
       "      <td>60</td>\n",
       "      <td>7.97</td>\n",
       "      <td>36.9</td>\n",
       "      <td>...</td>\n",
       "      <td>1.515583</td>\n",
       "      <td>7.980784</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.397651</td>\n",
       "      <td>293.871094</td>\n",
       "      <td>-3.311191</td>\n",
       "      <td>-0.436</td>\n",
       "      <td>N</td>\n",
       "      <td>SAM 2018.11.11 r2</td>\n",
       "      <td>1/3/2019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              Technology Bifacial      STC    PTC    A_c  \\\n",
       "Canadian_Solar_Inc__CS5P_220M  Mono-c-Si        0  219.961  200.1    1.7   \n",
       "Canadian_Solar_Inc__CS6P_220M  Mono-c-Si        0  219.775  198.5  1.549   \n",
       "\n",
       "                              Length  Width N_s I_sc_ref V_oc_ref  ...  \\\n",
       "Canadian_Solar_Inc__CS5P_220M  1.602  1.061  96      5.1     59.4  ...   \n",
       "Canadian_Solar_Inc__CS6P_220M  1.615  0.959  60     7.97     36.9  ...   \n",
       "\n",
       "                                  a_ref   I_L_ref I_o_ref       R_s  \\\n",
       "Canadian_Solar_Inc__CS5P_220M  2.635926   5.11426     0.0  1.066023   \n",
       "Canadian_Solar_Inc__CS6P_220M  1.515583  7.980784     0.0  0.397651   \n",
       "\n",
       "                                 R_sh_ref    Adjust gamma_r BIPV  \\\n",
       "Canadian_Solar_Inc__CS5P_220M  381.254425  8.619516  -0.476    N   \n",
       "Canadian_Solar_Inc__CS6P_220M  293.871094 -3.311191  -0.436    N   \n",
       "\n",
       "                                         Version      Date  \n",
       "Canadian_Solar_Inc__CS5P_220M  SAM 2018.11.11 r2  1/3/2019  \n",
       "Canadian_Solar_Inc__CS6P_220M  SAM 2018.11.11 r2  1/3/2019  \n",
       "\n",
       "[2 rows x 25 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# One trick to find the modules is to search the indices using string filters\n",
    "# For example: find all Candian Solar 220-W mono-Si modules\n",
    "cs_220m_mods = CECMODS.T.index.str.startswith('Canadian_Solar') & CECMODS.T.index.str.contains('220M')\n",
    "CECMODS.T[cs_220m_mods]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Technology            Mono-c-Si\n",
       "Bifacial                      0\n",
       "STC                     219.961\n",
       "PTC                       200.1\n",
       "A_c                         1.7\n",
       "Length                    1.602\n",
       "Width                     1.061\n",
       "N_s                          96\n",
       "I_sc_ref                    5.1\n",
       "V_oc_ref                   59.4\n",
       "I_mp_ref                   4.69\n",
       "V_mp_ref                   46.9\n",
       "alpha_sc               0.004539\n",
       "beta_oc               -0.222156\n",
       "T_NOCT                     42.4\n",
       "a_ref                  2.635926\n",
       "I_L_ref                 5.11426\n",
       "I_o_ref                     0.0\n",
       "R_s                    1.066023\n",
       "R_sh_ref             381.254425\n",
       "Adjust                 8.619516\n",
       "gamma_r                  -0.476\n",
       "BIPV                          N\n",
       "Version       SAM 2018.11.11 r2\n",
       "Date                   1/3/2019\n",
       "Name: Canadian_Solar_Inc__CS5P_220M, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# that was almost too easy, let's use the CS5P-220M\n",
    "# NOTE: don't transpose CECMODS, get column with desired module \n",
    "CS_220M = CECMODS['Canadian_Solar_Inc__CS5P_220M']\n",
    "CS_220M"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pop Quiz #1\n",
    "\n",
    "Get any CEC module from the `CECMODS` or pvfree.\n",
    "\n",
    "* Which module did you get?\n",
    "* How did you get it?\n",
    "* What is the module's nameplate power, Isc, Voc, Imp, and Vmp?\n",
    "* Who is the manufacturer?\n",
    "* What cell technology is it?\n",
    "* How does it differ from CS5P-220M?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*** Sorry, 'your module goes here' wasn't found in CECMODS. Please try again. ***\n"
     ]
    }
   ],
   "source": [
    "# use this cell to search CECMODS.T or pvfree\n",
    "your_mod = 'your module goes here'\n",
    "try:\n",
    "    your_mod = CECMODS[your_mod]\n",
    "except KeyError:\n",
    "    print(f\"*** Sorry, '{your_mod}' wasn't found in CECMODS. Please try again. ***\")\n",
    "else:\n",
    "    # display your module\n",
    "    your_mod"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculate CEC Parameters\n",
    "\n",
    "The module parameters are given at the reference condition. Use [`pvlib.pvsystem.calcparams_cec()`](https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.pvsystem.calcparams_cec.html) to generate the five SDM parameters at your desired irradiance and temperature to use with [`pvlib.pvsystem.singlediode()`](https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.pvsystem.singlediode.html) to calculate the IV curve information.\n",
    "\n",
    "### `nNsVth`, what's this?\n",
    "\n",
    "The diode ideality factor (n) is combined with the number of cells (Ns) and the thermal voltage (Vth) to create a convenience parameter. This is [syntactic sugar](https://en.wikipedia.org/wiki/Syntactic_sugar)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.50727824, 0.511426  , 0.5217954 , 0.5321648 ],\n",
       "       [1.01455648, 1.022852  , 1.0435908 , 1.0643296 ],\n",
       "       [2.02911296, 2.045704  , 2.0871816 , 2.1286592 ],\n",
       "       [3.04366944, 3.068556  , 3.1307724 , 3.19298881],\n",
       "       [4.05822592, 4.091408  , 4.1743632 , 4.25731841],\n",
       "       [5.0727824 , 5.11426   , 5.217954  , 5.32164801],\n",
       "       [5.58006064, 5.625686  , 5.7397494 , 5.85381281]])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# finally this is the magic\n",
    "temp_cell, effective_irradiance = IEC61853\n",
    "cecparams = pvlib.pvsystem.calcparams_cec(\n",
    "        effective_irradiance=effective_irradiance,\n",
    "        temp_cell=temp_cell,\n",
    "        alpha_sc=CS_220M.alpha_sc,\n",
    "        a_ref=CS_220M.a_ref,\n",
    "        I_L_ref=CS_220M.I_L_ref,\n",
    "        I_o_ref=CS_220M.I_o_ref,\n",
    "        R_sh_ref=CS_220M.R_sh_ref,\n",
    "        R_s=CS_220M.R_s,\n",
    "        Adjust=CS_220M.Adjust,\n",
    "        EgRef=1.121,\n",
    "        dEgdT=-0.0002677)\n",
    "IL, I0, Rs, Rsh, nNsVth = cecparams\n",
    "# display the photogenerated current\n",
    "IL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IV Curve Info\n",
    "\n",
    "Now that we have the 5 SDM parameters (`IL`, `Io`, `Rs`, `Rsh`, and `nNsVth`) corresponding to each of the test conditions in the IEC61853 test matrix, we can calculate the IV curve information for that irradiance and cell temperature."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 22.47344592,  21.33362028,  18.40249412,  15.37302335,\n",
       "        46.09151614,  43.87428661,  38.16846011,  32.26328112,\n",
       "        93.53042781,  89.2112251 ,  78.09399529,  66.58418353,\n",
       "       140.31159673, 133.92211364, 117.48149685, 100.47026643,\n",
       "       186.01692511, 177.5719005 , 155.85443596, 133.40606739,\n",
       "       230.45399426, 219.96096044, 192.99622092, 165.16045701,\n",
       "       252.16130617, 240.64592808, 211.06610839, 180.55358287])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# flatten the meshgrid to allow single diode to broadcast the output\n",
    "curve_info = pvlib.pvsystem.singlediode(\n",
    "    photocurrent=IL.flatten(),\n",
    "    saturation_current=I0.flatten(),\n",
    "    resistance_series=Rs,\n",
    "    resistance_shunt=Rsh.flatten(),\n",
    "    nNsVth=nNsVth.flatten(),\n",
    "    ivcurve_pnts=101,\n",
    "    method='lambertw')\n",
    "# display the max power points\n",
    "curve_info['p_mp']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the calculated curves:\n",
    "exclude = [(1100, 15), (400, 75), (200, 50), (200, 75), (100, 50), (100, 75)]\n",
    "kolor = ['#1f77b4', '#2ca02c', '#8c564b', '#9467bd', '#d62728', '#e377c2', '#ff7f0e']\n",
    "f, ax = plt.subplots(2, 2, figsize=(16, 10), sharex=True, sharey=True)\n",
    "for m, irr in enumerate(E_IEC61853):\n",
    "    for n, tc in enumerate(T_IEC61853):\n",
    "        if (irr, tc) in exclude:\n",
    "            continue\n",
    "        i = n + 4*m\n",
    "        j = n // 2, n % 2\n",
    "        label = (\n",
    "            \"$G_{eff}$ \" + f\"{irr} $W/m^2$\"\n",
    "        )\n",
    "        ax[j].plot(curve_info['v'][i], curve_info['i'][i], label=label, c=kolor[m])\n",
    "        v_mp = curve_info['v_mp'][i]\n",
    "        i_mp = curve_info['i_mp'][i]\n",
    "        # mark the MPP\n",
    "        ax[j].plot(v_mp, i_mp, ls='', marker='o', c=kolor[m])\n",
    "        ax[j].vlines(v_mp, 0, i_mp, linestyle='dashed', color=kolor[m])\n",
    "        # just repeat this every time doesn't hurt anyone\n",
    "        ax[j].legend(loc='right')\n",
    "        if j[0] == 1:\n",
    "            ax[j].set_xlabel('Module voltage [V]')\n",
    "        if j[1] == 0:\n",
    "            ax[j].set_ylabel('Module current [A]')\n",
    "        ax[j].set_title(f\"{CS_220M.name}, \" + \"$T_{cell}$ \" + f\"{tc} \" + \"$^{\\circ}C$\")\n",
    "        ax[j].grid(True)\n",
    "        ax[j].set_xlim([0, 80])\n",
    "\n",
    "f.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusions\n",
    "\n",
    "So is this what you expected? What do you notice about the relation between voltage and temperature? What about the relation between current and irradiance? What other patterns do you observe?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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