{ "metadata": { "name": "", "signature": "sha256:bedab400bf188d5cbf2ac9bfabaf893614b81625ee6a4794dde5e8ec0da6da58" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\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" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "import pvlib\n", "from pvlib import pvsystem" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 17 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "systemdef" ] }, { "cell_type": "code", "collapsed": false, "input": [ "pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib)))\n", "tmy3_data, tmy3_metadata = pvlib.tmy.readtmy3(os.path.join(pvlib_abspath, 'data', '703165TY.csv'))\n", "tmy2_data, tmy2_metadata = pvlib.tmy.readtmy2(os.path.join(pvlib_abspath, 'data', '12839.tm2'))" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "pvlib.pvsystem.systemdef(tmy3_metadata, 0, 0, .1, 5, 5)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 8, "text": [ "{'TZ': -9.0,\n", " 'albedo': 0.1,\n", " 'altitude': 7.0,\n", " 'latitude': 55.317,\n", " 'longitude': -160.517,\n", " 'name': '\"SAND POINT\"',\n", " 'parallel_modules': 5,\n", " 'series_modules': 5,\n", " 'surfaz': 0,\n", " 'surftilt': 0}" ] } ], "prompt_number": 8 }, { "cell_type": "code", "collapsed": false, "input": [ "pvlib.pvsystem.systemdef(tmy2_metadata, 0, 0, .1, 5, 5)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 12, "text": [ "{'TZ': -5,\n", " 'albedo': 0.1,\n", " 'altitude': 2.0,\n", " 'latitude': 25.8,\n", " 'longitude': -80.26666666666667,\n", " 'name': 'MIAMI',\n", " 'parallel_modules': 5,\n", " 'series_modules': 5,\n", " 'surfaz': 0,\n", " 'surftilt': 0}" ] } ], "prompt_number": 12 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Angle of Incidence Modifiers" ] }, { "cell_type": "code", "collapsed": false, "input": [ "thetas = pd.Series(np.linspace(-180,180,3601))\n", "thetas" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 85, "text": [ "0 -180.0\n", "1 -179.9\n", "2 -179.8\n", "3 -179.7\n", "4 -179.6\n", "5 -179.5\n", "6 -179.4\n", "7 -179.3\n", "8 -179.2\n", "9 -179.1\n", "10 -179.0\n", "11 -178.9\n", "12 -178.8\n", "13 -178.7\n", "14 -178.6\n", "...\n", "3586 178.6\n", "3587 178.7\n", "3588 178.8\n", "3589 178.9\n", "3590 179.0\n", "3591 179.1\n", "3592 179.2\n", "3593 179.3\n", "3594 179.4\n", "3595 179.5\n", "3596 179.6\n", "3597 179.7\n", "3598 179.8\n", "3599 179.9\n", "3600 180.0\n", "Length: 3601, dtype: float64" ] } ], "prompt_number": 85 }, { "cell_type": "code", "collapsed": false, "input": [ "ashraeiam = pvsystem.ashraeiam(.05, thetas)\n", "ashraeiam.plot()\n", "plt.ylabel('ASHRAE modifier')\n", "plt.xlabel('input index')\n", "\n", "plt.figure()\n", "plt.plot(thetas, ashraeiam)\n", "plt.ylabel('ASHRAE modifier')\n", "plt.xlabel('input angle (deg)')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 86, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAfEAAAFmCAYAAAB9UaOGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\niNQpJXEREZE6pSQuIiJSp/4/NeKueVxM8joAAAAASUVORK5CYII=\n", "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAfoAAAFmCAYAAACFsVhxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nwK8AAAAASUVORK5CYII=\n", "text": [ "" ] } ], "prompt_number": 86 }, { "cell_type": "code", "collapsed": false, "input": [ "reload(pvsystem)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 90, "text": [ "" ] } ], "prompt_number": 90 }, { "cell_type": "code", "collapsed": false, "input": [ "physicaliam = pvsystem.physicaliam(4, 0.002, 1.526, thetas)\n", "physicaliam.plot()\n", "plt.ylabel('physical modifier')\n", "plt.xlabel('input index')\n", "\n", "plt.figure()\n", "plt.plot(thetas, physicaliam)\n", "plt.ylabel('physical modifier')\n", "plt.xlabel('input angle (deg)')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 91, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAfEAAAFmCAYAAAB9UaOGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/x9Zd8dbtdpDtgAAAABJRU5ErkJggg==\n", "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAfoAAAFmCAYAAACFsVhxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text": [ "" ] } ], "prompt_number": 91 }, { "cell_type": "code", "collapsed": false, "input": [ "plt.figure()\n", "plt.plot(thetas, ashraeiam, label='ASHRAE')\n", "plt.plot(thetas, physicaliam, label='physical')\n", "plt.ylabel('modifier')\n", "plt.xlabel('input angle (deg)')\n", "plt.legend()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 92, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAfoAAAFmCAYAAACFsVhxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nXkREZIgp0IuIiAyx/wEOcArxVjtlvgAAAABJRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 92 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "System Advisory Model" ] }, { "cell_type": "code", "collapsed": false, "input": [ "pvsystem.retrieve_sam('sandiamod') # gets the data from nrel. requires network connection. optionally use samfile keyword." ], "language": "python", "metadata": {}, "outputs": [ { "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", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
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__...Uni_Solar_US_64__1997__E__Uni_Solar_US_64__2005__E__Uni_Solar_USF_11__2003__E__Uni_Solar_USF_32__2003__E__Uni_Solar_USF_5__2003__E__Yingli_Solar_YL220_Module___2008_Yingli_Solar_YL220_Module__2008__E__Yingli_Solar_YL230_29b_Module___2009_Yingli_Solar_YL230_29b_Module__2009__E__Yingli_YL210__2008__E__
Vintage 2006 2008 2009 2007 (E) 2007 (E) 2007 (E) 2007 (E) 2007 (E) 2007 (E) 2007 (E)... 1997 (E) 2005 (E) 2003 (E) 2003 (E) 2003 (E) 2008 2008 (E) 2009 2009 (E) 2008 (E)
Area 1.312 1.646 1.646 1.28 1.28 1.378 1.378 1.378 1.378 1.378... 1.012 1.012 0.235 0.606 0.136 1.7 1.7 1.634 1.634 1.7
Material mc-Si mc-Si mc-Si c-Si c-Si mc-Si mc-Si mc-Si mc-Si mc-Si... 3-a-Si 3-a-Si 3-a-Si 3-a-Si 3-a-Si mc-Si mc-Si mc-Si mc-Si mc-Si
#Series 72 60 60 72 72 50 50 50 50 50... 11 11 11 11 11 60 60 60 60 60
#Parallel 1 1 1 1 1 1 1 1 1 1... 2 2 1 1 1 1 1 1 1 1
Isco 5.564 8.34 8.49 5.1 5.2 7.9 7.95 8.1 8.15 8.2... 5.1 4.8 0.78 2.4 0.37 8.163 8.1 8.222 8.4 7.8
Voco 42.832 35.31 35.92 43.5 43.6 30 30.1 30.2 30.3 30.5... 21.3 23.8 23.8 23.8 23.8 36.871 36.6 37.28 37 36
Impo 5.028 7.49 7.74 4.55 4.65 7.08 7.23 7.38 7.53 7.67... 4.1 3.88 0.62 1.94 0.3 7.388 7.4 7.727 7.8 7.2
Vmpo 32.41 27.61 27.92 35.6 35.8 23.3 23.5 23.7 23.9 24.1... 15.6 16.5 16.5 16.5 16.5 28.633 30 29.886 29.5 29.5
Aisc 0.000537 0.00077 0.00082 0.0003 0.0003 0.0008 0.0008 0.0008 0.0008 0.0008... 0.001 0.001 0.001 0.001 0.001 0.000436 0.000436 0.000746 0.000746 0.001
Aimp -0.000491 -0.00015 -0.00013 -0.00025 -0.00025 -0.0003 -0.0003 -0.0003 -0.0003 -0.0003... 0.001 0.001 0.001 0.001 0.001 -0.000176 -0.000176 0.000176 0.000176 -0.0002
C0 1.0233 0.937 1.015 0.99 0.99 0.99 0.99 0.99 0.99 0.99... 1.121 1.121 1.096 1.096 1.096 0.9877 0.9877 0.9993 0.9993 0.977
C1 -0.0233 0.063 -0.015 0.01 0.01 0.01 0.01 0.01 0.01 0.01... -0.121 -0.121 -0.096 -0.096 -0.096 0.0123 0.0123 0.0007 0.0007 0.023
Bvoco -0.1703 -0.133 -0.135 -0.152 -0.152 -0.11 -0.11 -0.11 -0.11 -0.11... -0.088 -0.088 -0.088 -0.088 -0.088 -0.1378 -0.1378 -0.1294 -0.1294 -0.133
Mbvoc 0 0 0 0 0 0 0 0 0 0... 0 0 0 0 0 0 0 0 0 0
Bvmpo -0.1731 -0.135 -0.136 -0.158 -0.158 -0.115 -0.115 -0.115 -0.115 -0.115... -0.051 -0.051 -0.051 -0.051 -0.051 -0.1421 -0.1421 -0.137 -0.137 -0.133
Mbvmp 0 0 0 0 0 0 0 0 0 0... 0 0 0 0 0 0 0 0 0 0
N 1.174 1.495 1.373 1.25 1.25 1.35 1.35 1.35 1.35 1.35... 3.51 3.51 3.77 3.77 3.77 1.442 1.442 1.263 1.263 1.384
C2 -0.76444 0.0182 0.0036 -0.15 -0.15 -0.12 -0.12 -0.12 -0.12 -0.12... -1.24058 -1.24058 -1.14162 -1.14162 -1.14162 -0.050321 -0.050321 -0.058706 -0.058706 -0.3872
C3 -15.5087 -10.758 -7.2509 -8.96 -8.96 -11.08 -11.08 -11.08 -11.08 -11.08... -3.91126 -3.91126 -2.89115 -2.89115 -2.89115 -8.81507 -8.81507 -8.35334 -8.35334 -9.5542
A0 0.9281 0.9067 0.9323 0.938 0.938 0.924 0.924 0.924 0.924 0.924... 1.047 1.047 1.047 1.047 1.047 0.9407 0.9219 0.9011 0.9219 0.9219
A1 0.06615 0.09573 0.06526 0.05422 0.05422 0.06749 0.06749 0.06749 0.06749 0.06749... 0.00082115 0.00082115 0.00082115 0.00082115 0.00082115 0.05086 0.0709 0.1021 0.0709 0.07089
A2 -0.01384 -0.0266 -0.01567 -0.009903 -0.009903 -0.012549 -0.012549 -0.012549 -0.012549 -0.012549... -0.0259 -0.0259 -0.0259 -0.0259 -0.0259 -0.008095 -0.0143 -0.02942 -0.0143 -0.01427
A3 0.001298 0.00343 0.00193 0.0007297 0.0007297 0.0010049 0.0010049 0.0010049 0.0010049 0.0010049... 0.0031736 0.0031736 0.0031736 0.0031736 0.0031736 0.0003498 0.0012 0.00397 0.0012 0.00117
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... -0.00011026 -0.00011026 -0.00011026 -0.00011026 -0.00011026 8.85e-06 -3e-05 -0.0002105 -3e-05 -3.37e-05
B0 1 1 1 1 1 1 1 1 1 1... 1 1 1 1 1 1 1 1 1 1
B1 -0.002438 -0.002438 -0.002438 -0.002438 -0.002438 -0.002438 -0.002438 -0.002438 -0.002438 -0.002438... -0.00502 -0.00502 -0.00502 -0.00502 -0.00502 -0.002438 -0.002438 -0.002438 -0.002438 -0.002438
B2 0.0003103 0.00031 0.00031 0.0003103 0.0003103 0.0003103 0.0003103 0.0003103 0.0003103 0.0003103... 0.0005842 0.0005842 0.0005842 0.0005842 0.0005842 0.0003103 0.0003103 0.0003103 0.0003103 0.00031
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... -2.3e-05 -2.3e-05 -2.3e-05 -2.3e-05 -2.3e-05 -1.246e-05 -1.246e-05 -1.246e-05 -1.246e-05 -1.246e-05
B4 2.112e-07 2.112e-07 2.112e-07 2.112e-07 2.112e-07 2.112e-07 2.112e-07 2.112e-07 2.112e-07 2.112e-07... 3.826e-07 3.826e-07 3.826e-07 3.826e-07 3.826e-07 2.112e-07 2.112e-07 2.112e-07 2.112e-07 2.112e-07
B5 -1.359e-09 -1.359e-09 -1.359e-09 -1.359e-09 -1.359e-09 -1.359e-09 -1.359e-09 -1.359e-09 -1.359e-09 -1.359e-09... -2.31e-09 -2.31e-09 -2.31e-09 -2.31e-09 -2.31e-09 -1.359e-09 -1.359e-09 -1.359e-09 -1.359e-09 -1.359e-09
DTC 3 3 3 3 3 3 3 3 3 3... 3 3 3 3 3 3 3 3 3 3
FD 1 1 1 1 1 1 1 1 1 1... 1 1 1 1 1 1 1 1 1 1
A -3.35 -3.45 -3.47 -3.56 -3.56 -3.56 -3.56 -3.56 -3.56 -3.56... -3.581 -3.581 -3.581 -3.581 -3.581 -3.303 -3.303 -3.348 -3.348 -3.54
B -0.1161 -0.077 -0.087 -0.075 -0.075 -0.075 -0.075 -0.075 -0.075 -0.075... -0.113 -0.113 -0.113 -0.113 -0.113 -0.1012 -0.1012 -0.09143 -0.09143 -0.072
C4 0.9974 0.972 0.989 0.995 0.995 0.995 0.995 0.995 0.995 0.995... 1.059 1.059 1.0515 1.0515 1.0515 0.9892 0.9892 0.995 0.995 0.985
C5 0.0026 0.028 0.012 0.005 0.005 0.005 0.005 0.005 0.005 0.005... -0.059 -0.059 -0.0515 -0.0515 -0.0515 0.0108 0.0108 0.005 0.005 0.015
IXO 5.54 8.25 8.49 5.04 5.14 7.8 7.85 8 8.05 8.1... 4.73 4.44 0.71 2.22 0.342 8.0491 8.29 8.1509 8.31 7.65
IXXO 3.56 5.2 5.45 3.16 3.25 4.92 5.08 5.18 5.39 5.54... 2.87 2.74 0.438 1.37 0.212 5.1339 5.1339 5.5099 5.57 5.06
C6 1.173 1.067 1.137 1.15 1.15 1.15 1.15 1.15 1.15 1.15... 1.159 1.159 1.13 1.13 1.13 1.1335 1.1335 1.1325 1.1325 1.113
C7 -0.173 -0.067 -0.137 -0.15 -0.15 -0.15 -0.15 -0.15 -0.15 -0.15... -0.159 -0.159 -0.13 -0.13 -0.13 -0.1335 -0.1335 -0.1325 -0.1325 -0.113
Notes 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: 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: Sandia National Laboratories Updated 9...
\n", "

42 rows \u00d7 513 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 112, "text": [ " Advent_Solar_AS160___2006_ \\\n", "Vintage 2006 \n", "Area 1.312 \n", "Material mc-Si \n", "#Series 72 \n", "#Parallel 1 \n", "Isco 5.564 \n", "Voco 42.832 \n", "Impo 5.028 \n", "Vmpo 32.41 \n", "Aisc 0.000537 \n", "Aimp -0.000491 \n", "C0 1.0233 \n", "C1 -0.0233 \n", "Bvoco -0.1703 \n", "Mbvoc 0 \n", "Bvmpo -0.1731 \n", "Mbvmp 0 \n", "N 1.174 \n", "C2 -0.76444 \n", "C3 -15.5087 \n", "A0 0.9281 \n", "A1 0.06615 \n", "A2 -0.01384 \n", "A3 0.001298 \n", "A4 -4.6e-05 \n", "B0 1 \n", "B1 -0.002438 \n", "B2 0.0003103 \n", "B3 -1.246e-05 \n", "B4 2.112e-07 \n", "B5 -1.359e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.35 \n", "B -0.1161 \n", "C4 0.9974 \n", "C5 0.0026 \n", "IXO 5.54 \n", "IXXO 3.56 \n", "C6 1.173 \n", "C7 -0.173 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Advent_Solar_Ventura_210___2008_ \\\n", "Vintage 2008 \n", "Area 1.646 \n", "Material mc-Si \n", "#Series 60 \n", "#Parallel 1 \n", "Isco 8.34 \n", "Voco 35.31 \n", "Impo 7.49 \n", "Vmpo 27.61 \n", "Aisc 0.00077 \n", "Aimp -0.00015 \n", "C0 0.937 \n", "C1 0.063 \n", "Bvoco -0.133 \n", "Mbvoc 0 \n", "Bvmpo -0.135 \n", "Mbvmp 0 \n", "N 1.495 \n", "C2 0.0182 \n", "C3 -10.758 \n", "A0 0.9067 \n", "A1 0.09573 \n", "A2 -0.0266 \n", "A3 0.00343 \n", "A4 -0.0001794 \n", "B0 1 \n", "B1 -0.002438 \n", "B2 0.00031 \n", "B3 -1.246e-05 \n", "B4 2.112e-07 \n", "B5 -1.359e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.45 \n", "B -0.077 \n", "C4 0.972 \n", "C5 0.028 \n", "IXO 8.25 \n", "IXXO 5.2 \n", "C6 1.067 \n", "C7 -0.067 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Advent_Solar_Ventura_215___2009_ \\\n", "Vintage 2009 \n", "Area 1.646 \n", "Material mc-Si \n", "#Series 60 \n", "#Parallel 1 \n", "Isco 8.49 \n", "Voco 35.92 \n", "Impo 7.74 \n", "Vmpo 27.92 \n", "Aisc 0.00082 \n", "Aimp -0.00013 \n", "C0 1.015 \n", "C1 -0.015 \n", "Bvoco -0.135 \n", "Mbvoc 0 \n", "Bvmpo -0.136 \n", "Mbvmp 0 \n", "N 1.373 \n", "C2 0.0036 \n", "C3 -7.2509 \n", "A0 0.9323 \n", "A1 0.06526 \n", "A2 -0.01567 \n", "A3 0.00193 \n", "A4 -9.81e-05 \n", "B0 1 \n", "B1 -0.002438 \n", "B2 0.00031 \n", "B3 -1.246e-05 \n", "B4 2.112e-07 \n", "B5 -1.359e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.47 \n", "B -0.087 \n", "C4 0.989 \n", "C5 0.012 \n", "IXO 8.49 \n", "IXXO 5.45 \n", "C6 1.137 \n", "C7 -0.137 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Aleo_S03_160__2007__E__ \\\n", "Vintage 2007 (E) \n", "Area 1.28 \n", "Material c-Si \n", "#Series 72 \n", "#Parallel 1 \n", "Isco 5.1 \n", "Voco 43.5 \n", "Impo 4.55 \n", "Vmpo 35.6 \n", "Aisc 0.0003 \n", "Aimp -0.00025 \n", "C0 0.99 \n", "C1 0.01 \n", "Bvoco -0.152 \n", "Mbvoc 0 \n", "Bvmpo -0.158 \n", "Mbvmp 0 \n", "N 1.25 \n", "C2 -0.15 \n", "C3 -8.96 \n", "A0 0.938 \n", "A1 0.05422 \n", "A2 -0.009903 \n", "A3 0.0007297 \n", "A4 -1.907e-05 \n", "B0 1 \n", "B1 -0.002438 \n", "B2 0.0003103 \n", "B3 -1.246e-05 \n", "B4 2.112e-07 \n", "B5 -1.359e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.56 \n", "B -0.075 \n", "C4 0.995 \n", "C5 0.005 \n", "IXO 5.04 \n", "IXXO 3.16 \n", "C6 1.15 \n", "C7 -0.15 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Aleo_S03_165__2007__E__ \\\n", "Vintage 2007 (E) \n", "Area 1.28 \n", "Material c-Si \n", "#Series 72 \n", "#Parallel 1 \n", "Isco 5.2 \n", "Voco 43.6 \n", "Impo 4.65 \n", "Vmpo 35.8 \n", "Aisc 0.0003 \n", "Aimp -0.00025 \n", "C0 0.99 \n", "C1 0.01 \n", "Bvoco -0.152 \n", "Mbvoc 0 \n", "Bvmpo -0.158 \n", "Mbvmp 0 \n", "N 1.25 \n", "C2 -0.15 \n", "C3 -8.96 \n", "A0 0.938 \n", "A1 0.05422 \n", "A2 -0.009903 \n", "A3 0.0007297 \n", "A4 -1.907e-05 \n", "B0 1 \n", "B1 -0.002438 \n", "B2 0.0003103 \n", "B3 -1.246e-05 \n", "B4 2.112e-07 \n", "B5 -1.359e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.56 \n", "B -0.075 \n", "C4 0.995 \n", "C5 0.005 \n", "IXO 5.14 \n", "IXXO 3.25 \n", "C6 1.15 \n", "C7 -0.15 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Aleo_S16_165__2007__E__ \\\n", "Vintage 2007 (E) \n", "Area 1.378 \n", "Material mc-Si \n", "#Series 50 \n", "#Parallel 1 \n", "Isco 7.9 \n", "Voco 30 \n", "Impo 7.08 \n", "Vmpo 23.3 \n", "Aisc 0.0008 \n", "Aimp -0.0003 \n", "C0 0.99 \n", "C1 0.01 \n", "Bvoco -0.11 \n", "Mbvoc 0 \n", "Bvmpo -0.115 \n", "Mbvmp 0 \n", "N 1.35 \n", "C2 -0.12 \n", "C3 -11.08 \n", "A0 0.924 \n", "A1 0.06749 \n", "A2 -0.012549 \n", "A3 0.0010049 \n", "A4 -2.8797e-05 \n", "B0 1 \n", "B1 -0.002438 \n", "B2 0.0003103 \n", "B3 -1.246e-05 \n", "B4 2.112e-07 \n", "B5 -1.359e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.56 \n", "B -0.075 \n", "C4 0.995 \n", "C5 0.005 \n", "IXO 7.8 \n", "IXXO 4.92 \n", "C6 1.15 \n", "C7 -0.15 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Aleo_S16_170__2007__E__ \\\n", "Vintage 2007 (E) \n", "Area 1.378 \n", "Material mc-Si \n", "#Series 50 \n", "#Parallel 1 \n", "Isco 7.95 \n", "Voco 30.1 \n", "Impo 7.23 \n", "Vmpo 23.5 \n", "Aisc 0.0008 \n", "Aimp -0.0003 \n", "C0 0.99 \n", "C1 0.01 \n", "Bvoco -0.11 \n", "Mbvoc 0 \n", "Bvmpo -0.115 \n", "Mbvmp 0 \n", "N 1.35 \n", "C2 -0.12 \n", "C3 -11.08 \n", "A0 0.924 \n", "A1 0.06749 \n", "A2 -0.012549 \n", "A3 0.0010049 \n", "A4 -2.8797e-05 \n", "B0 1 \n", "B1 -0.002438 \n", "B2 0.0003103 \n", "B3 -1.246e-05 \n", "B4 2.112e-07 \n", "B5 -1.359e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.56 \n", "B -0.075 \n", "C4 0.995 \n", "C5 0.005 \n", "IXO 7.85 \n", "IXXO 5.08 \n", "C6 1.15 \n", "C7 -0.15 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Aleo_S16_175__2007__E__ \\\n", "Vintage 2007 (E) \n", "Area 1.378 \n", "Material mc-Si \n", "#Series 50 \n", "#Parallel 1 \n", "Isco 8.1 \n", "Voco 30.2 \n", "Impo 7.38 \n", "Vmpo 23.7 \n", "Aisc 0.0008 \n", "Aimp -0.0003 \n", "C0 0.99 \n", "C1 0.01 \n", "Bvoco -0.11 \n", "Mbvoc 0 \n", "Bvmpo -0.115 \n", "Mbvmp 0 \n", "N 1.35 \n", "C2 -0.12 \n", "C3 -11.08 \n", "A0 0.924 \n", "A1 0.06749 \n", "A2 -0.012549 \n", "A3 0.0010049 \n", "A4 -2.8797e-05 \n", "B0 1 \n", "B1 -0.002438 \n", "B2 0.0003103 \n", "B3 -1.246e-05 \n", "B4 2.112e-07 \n", "B5 -1.359e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.56 \n", "B -0.075 \n", "C4 0.995 \n", "C5 0.005 \n", "IXO 8 \n", "IXXO 5.18 \n", "C6 1.15 \n", "C7 -0.15 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Aleo_S16_180__2007__E__ \\\n", "Vintage 2007 (E) \n", "Area 1.378 \n", "Material mc-Si \n", "#Series 50 \n", "#Parallel 1 \n", "Isco 8.15 \n", "Voco 30.3 \n", "Impo 7.53 \n", "Vmpo 23.9 \n", "Aisc 0.0008 \n", "Aimp -0.0003 \n", "C0 0.99 \n", "C1 0.01 \n", "Bvoco -0.11 \n", "Mbvoc 0 \n", "Bvmpo -0.115 \n", "Mbvmp 0 \n", "N 1.35 \n", "C2 -0.12 \n", "C3 -11.08 \n", "A0 0.924 \n", "A1 0.06749 \n", "A2 -0.012549 \n", "A3 0.0010049 \n", "A4 -2.8797e-05 \n", "B0 1 \n", "B1 -0.002438 \n", "B2 0.0003103 \n", "B3 -1.246e-05 \n", "B4 2.112e-07 \n", "B5 -1.359e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.56 \n", "B -0.075 \n", "C4 0.995 \n", "C5 0.005 \n", "IXO 8.05 \n", "IXXO 5.39 \n", "C6 1.15 \n", "C7 -0.15 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Aleo_S16_185__2007__E__ \\\n", "Vintage 2007 (E) \n", "Area 1.378 \n", "Material mc-Si \n", "#Series 50 \n", "#Parallel 1 \n", "Isco 8.2 \n", "Voco 30.5 \n", "Impo 7.67 \n", "Vmpo 24.1 \n", "Aisc 0.0008 \n", "Aimp -0.0003 \n", "C0 0.99 \n", "C1 0.01 \n", "Bvoco -0.11 \n", "Mbvoc 0 \n", "Bvmpo -0.115 \n", "Mbvmp 0 \n", "N 1.35 \n", "C2 -0.12 \n", "C3 -11.08 \n", "A0 0.924 \n", "A1 0.06749 \n", "A2 -0.012549 \n", "A3 0.0010049 \n", "A4 -2.8797e-05 \n", "B0 1 \n", "B1 -0.002438 \n", "B2 0.0003103 \n", "B3 -1.246e-05 \n", "B4 2.112e-07 \n", "B5 -1.359e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.56 \n", "B -0.075 \n", "C4 0.995 \n", "C5 0.005 \n", "IXO 8.1 \n", "IXXO 5.54 \n", "C6 1.15 \n", "C7 -0.15 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " ... \\\n", "Vintage ... \n", "Area ... \n", "Material ... \n", "#Series ... \n", "#Parallel ... \n", "Isco ... \n", "Voco ... \n", "Impo ... \n", "Vmpo ... \n", "Aisc ... \n", "Aimp ... \n", "C0 ... \n", "C1 ... \n", "Bvoco ... \n", "Mbvoc ... \n", "Bvmpo ... \n", "Mbvmp ... \n", "N ... \n", "C2 ... \n", "C3 ... \n", "A0 ... \n", "A1 ... \n", "A2 ... \n", "A3 ... \n", "A4 ... \n", "B0 ... \n", "B1 ... \n", "B2 ... \n", "B3 ... \n", "B4 ... \n", "B5 ... \n", "DTC ... \n", "FD ... \n", "A ... \n", "B ... \n", "C4 ... \n", "C5 ... \n", "IXO ... \n", "IXXO ... \n", "C6 ... \n", "C7 ... \n", "Notes ... \n", "\n", " Uni_Solar_US_64__1997__E__ \\\n", "Vintage 1997 (E) \n", "Area 1.012 \n", "Material 3-a-Si \n", "#Series 11 \n", "#Parallel 2 \n", "Isco 5.1 \n", "Voco 21.3 \n", "Impo 4.1 \n", "Vmpo 15.6 \n", "Aisc 0.001 \n", "Aimp 0.001 \n", "C0 1.121 \n", "C1 -0.121 \n", "Bvoco -0.088 \n", "Mbvoc 0 \n", "Bvmpo -0.051 \n", "Mbvmp 0 \n", "N 3.51 \n", "C2 -1.24058 \n", "C3 -3.91126 \n", "A0 1.047 \n", "A1 0.00082115 \n", "A2 -0.0259 \n", "A3 0.0031736 \n", "A4 -0.00011026 \n", "B0 1 \n", "B1 -0.00502 \n", "B2 0.0005842 \n", "B3 -2.3e-05 \n", "B4 3.826e-07 \n", "B5 -2.31e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.581 \n", "B -0.113 \n", "C4 1.059 \n", "C5 -0.059 \n", "IXO 4.73 \n", "IXXO 2.87 \n", "C6 1.159 \n", "C7 -0.159 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Uni_Solar_US_64__2005__E__ \\\n", "Vintage 2005 (E) \n", "Area 1.012 \n", "Material 3-a-Si \n", "#Series 11 \n", "#Parallel 2 \n", "Isco 4.8 \n", "Voco 23.8 \n", "Impo 3.88 \n", "Vmpo 16.5 \n", "Aisc 0.001 \n", "Aimp 0.001 \n", "C0 1.121 \n", "C1 -0.121 \n", "Bvoco -0.088 \n", "Mbvoc 0 \n", "Bvmpo -0.051 \n", "Mbvmp 0 \n", "N 3.51 \n", "C2 -1.24058 \n", "C3 -3.91126 \n", "A0 1.047 \n", "A1 0.00082115 \n", "A2 -0.0259 \n", "A3 0.0031736 \n", "A4 -0.00011026 \n", "B0 1 \n", "B1 -0.00502 \n", "B2 0.0005842 \n", "B3 -2.3e-05 \n", "B4 3.826e-07 \n", "B5 -2.31e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.581 \n", "B -0.113 \n", "C4 1.059 \n", "C5 -0.059 \n", "IXO 4.44 \n", "IXXO 2.74 \n", "C6 1.159 \n", "C7 -0.159 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Uni_Solar_USF_11__2003__E__ \\\n", "Vintage 2003 (E) \n", "Area 0.235 \n", "Material 3-a-Si \n", "#Series 11 \n", "#Parallel 1 \n", "Isco 0.78 \n", "Voco 23.8 \n", "Impo 0.62 \n", "Vmpo 16.5 \n", "Aisc 0.001 \n", "Aimp 0.001 \n", "C0 1.096 \n", "C1 -0.096 \n", "Bvoco -0.088 \n", "Mbvoc 0 \n", "Bvmpo -0.051 \n", "Mbvmp 0 \n", "N 3.77 \n", "C2 -1.14162 \n", "C3 -2.89115 \n", "A0 1.047 \n", "A1 0.00082115 \n", "A2 -0.0259 \n", "A3 0.0031736 \n", "A4 -0.00011026 \n", "B0 1 \n", "B1 -0.00502 \n", "B2 0.0005842 \n", "B3 -2.3e-05 \n", "B4 3.826e-07 \n", "B5 -2.31e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.581 \n", "B -0.113 \n", "C4 1.0515 \n", "C5 -0.0515 \n", "IXO 0.71 \n", "IXXO 0.438 \n", "C6 1.13 \n", "C7 -0.13 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Uni_Solar_USF_32__2003__E__ \\\n", "Vintage 2003 (E) \n", "Area 0.606 \n", "Material 3-a-Si \n", "#Series 11 \n", "#Parallel 1 \n", "Isco 2.4 \n", "Voco 23.8 \n", "Impo 1.94 \n", "Vmpo 16.5 \n", "Aisc 0.001 \n", "Aimp 0.001 \n", "C0 1.096 \n", "C1 -0.096 \n", "Bvoco -0.088 \n", "Mbvoc 0 \n", "Bvmpo -0.051 \n", "Mbvmp 0 \n", "N 3.77 \n", "C2 -1.14162 \n", "C3 -2.89115 \n", "A0 1.047 \n", "A1 0.00082115 \n", "A2 -0.0259 \n", "A3 0.0031736 \n", "A4 -0.00011026 \n", "B0 1 \n", "B1 -0.00502 \n", "B2 0.0005842 \n", "B3 -2.3e-05 \n", "B4 3.826e-07 \n", "B5 -2.31e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.581 \n", "B -0.113 \n", "C4 1.0515 \n", "C5 -0.0515 \n", "IXO 2.22 \n", "IXXO 1.37 \n", "C6 1.13 \n", "C7 -0.13 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Uni_Solar_USF_5__2003__E__ \\\n", "Vintage 2003 (E) \n", "Area 0.136 \n", "Material 3-a-Si \n", "#Series 11 \n", "#Parallel 1 \n", "Isco 0.37 \n", "Voco 23.8 \n", "Impo 0.3 \n", "Vmpo 16.5 \n", "Aisc 0.001 \n", "Aimp 0.001 \n", "C0 1.096 \n", "C1 -0.096 \n", "Bvoco -0.088 \n", "Mbvoc 0 \n", "Bvmpo -0.051 \n", "Mbvmp 0 \n", "N 3.77 \n", "C2 -1.14162 \n", "C3 -2.89115 \n", "A0 1.047 \n", "A1 0.00082115 \n", "A2 -0.0259 \n", "A3 0.0031736 \n", "A4 -0.00011026 \n", "B0 1 \n", "B1 -0.00502 \n", "B2 0.0005842 \n", "B3 -2.3e-05 \n", "B4 3.826e-07 \n", "B5 -2.31e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.581 \n", "B -0.113 \n", "C4 1.0515 \n", "C5 -0.0515 \n", "IXO 0.342 \n", "IXXO 0.212 \n", "C6 1.13 \n", "C7 -0.13 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Yingli_Solar_YL220_Module___2008_ \\\n", "Vintage 2008 \n", "Area 1.7 \n", "Material mc-Si \n", "#Series 60 \n", "#Parallel 1 \n", "Isco 8.163 \n", "Voco 36.871 \n", "Impo 7.388 \n", "Vmpo 28.633 \n", "Aisc 0.000436 \n", "Aimp -0.000176 \n", "C0 0.9877 \n", "C1 0.0123 \n", "Bvoco -0.1378 \n", "Mbvoc 0 \n", "Bvmpo -0.1421 \n", "Mbvmp 0 \n", "N 1.442 \n", "C2 -0.050321 \n", "C3 -8.81507 \n", "A0 0.9407 \n", "A1 0.05086 \n", "A2 -0.008095 \n", "A3 0.0003498 \n", "A4 8.85e-06 \n", "B0 1 \n", "B1 -0.002438 \n", "B2 0.0003103 \n", "B3 -1.246e-05 \n", "B4 2.112e-07 \n", "B5 -1.359e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.303 \n", "B -0.1012 \n", "C4 0.9892 \n", "C5 0.0108 \n", "IXO 8.0491 \n", "IXXO 5.1339 \n", "C6 1.1335 \n", "C7 -0.1335 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Yingli_Solar_YL220_Module__2008__E__ \\\n", "Vintage 2008 (E) \n", "Area 1.7 \n", "Material mc-Si \n", "#Series 60 \n", "#Parallel 1 \n", "Isco 8.1 \n", "Voco 36.6 \n", "Impo 7.4 \n", "Vmpo 30 \n", "Aisc 0.000436 \n", "Aimp -0.000176 \n", "C0 0.9877 \n", "C1 0.0123 \n", "Bvoco -0.1378 \n", "Mbvoc 0 \n", "Bvmpo -0.1421 \n", "Mbvmp 0 \n", "N 1.442 \n", "C2 -0.050321 \n", "C3 -8.81507 \n", "A0 0.9219 \n", "A1 0.0709 \n", "A2 -0.0143 \n", "A3 0.0012 \n", "A4 -3e-05 \n", "B0 1 \n", "B1 -0.002438 \n", "B2 0.0003103 \n", "B3 -1.246e-05 \n", "B4 2.112e-07 \n", "B5 -1.359e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.303 \n", "B -0.1012 \n", "C4 0.9892 \n", "C5 0.0108 \n", "IXO 8.29 \n", "IXXO 5.1339 \n", "C6 1.1335 \n", "C7 -0.1335 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Yingli_Solar_YL230_29b_Module___2009_ \\\n", "Vintage 2009 \n", "Area 1.634 \n", "Material mc-Si \n", "#Series 60 \n", "#Parallel 1 \n", "Isco 8.222 \n", "Voco 37.28 \n", "Impo 7.727 \n", "Vmpo 29.886 \n", "Aisc 0.000746 \n", "Aimp 0.000176 \n", "C0 0.9993 \n", "C1 0.0007 \n", "Bvoco -0.1294 \n", "Mbvoc 0 \n", "Bvmpo -0.137 \n", "Mbvmp 0 \n", "N 1.263 \n", "C2 -0.058706 \n", "C3 -8.35334 \n", "A0 0.9011 \n", "A1 0.1021 \n", "A2 -0.02942 \n", "A3 0.00397 \n", "A4 -0.0002105 \n", "B0 1 \n", "B1 -0.002438 \n", "B2 0.0003103 \n", "B3 -1.246e-05 \n", "B4 2.112e-07 \n", "B5 -1.359e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.348 \n", "B -0.09143 \n", "C4 0.995 \n", "C5 0.005 \n", "IXO 8.1509 \n", "IXXO 5.5099 \n", "C6 1.1325 \n", "C7 -0.1325 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Yingli_Solar_YL230_29b_Module__2009__E__ \\\n", "Vintage 2009 (E) \n", "Area 1.634 \n", "Material mc-Si \n", "#Series 60 \n", "#Parallel 1 \n", "Isco 8.4 \n", "Voco 37 \n", "Impo 7.8 \n", "Vmpo 29.5 \n", "Aisc 0.000746 \n", "Aimp 0.000176 \n", "C0 0.9993 \n", "C1 0.0007 \n", "Bvoco -0.1294 \n", "Mbvoc 0 \n", "Bvmpo -0.137 \n", "Mbvmp 0 \n", "N 1.263 \n", "C2 -0.058706 \n", "C3 -8.35334 \n", "A0 0.9219 \n", "A1 0.0709 \n", "A2 -0.0143 \n", "A3 0.0012 \n", "A4 -3e-05 \n", "B0 1 \n", "B1 -0.002438 \n", "B2 0.0003103 \n", "B3 -1.246e-05 \n", "B4 2.112e-07 \n", "B5 -1.359e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.348 \n", "B -0.09143 \n", "C4 0.995 \n", "C5 0.005 \n", "IXO 8.31 \n", "IXXO 5.57 \n", "C6 1.1325 \n", "C7 -0.1325 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", " Yingli_YL210__2008__E__ \n", "Vintage 2008 (E) \n", "Area 1.7 \n", "Material mc-Si \n", "#Series 60 \n", "#Parallel 1 \n", "Isco 7.8 \n", "Voco 36 \n", "Impo 7.2 \n", "Vmpo 29.5 \n", "Aisc 0.001 \n", "Aimp -0.0002 \n", "C0 0.977 \n", "C1 0.023 \n", "Bvoco -0.133 \n", "Mbvoc 0 \n", "Bvmpo -0.133 \n", "Mbvmp 0 \n", "N 1.384 \n", "C2 -0.3872 \n", "C3 -9.5542 \n", "A0 0.9219 \n", "A1 0.07089 \n", "A2 -0.01427 \n", "A3 0.00117 \n", "A4 -3.37e-05 \n", "B0 1 \n", "B1 -0.002438 \n", "B2 0.00031 \n", "B3 -1.246e-05 \n", "B4 2.112e-07 \n", "B5 -1.359e-09 \n", "DTC 3 \n", "FD 1 \n", "A -3.54 \n", "B -0.072 \n", "C4 0.985 \n", "C5 0.015 \n", "IXO 7.65 \n", "IXXO 5.06 \n", "C6 1.113 \n", "C7 -0.113 \n", "Notes Source: Sandia National Laboratories Updated 9... \n", "\n", "[42 rows x 513 columns]" ] } ], "prompt_number": 112 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Sandia Cell Temp correction" ] }, { "cell_type": "code", "collapsed": false, "input": [ "reload(pvsystem)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 129, "text": [ "" ] } ], "prompt_number": 129 }, { "cell_type": "code", "collapsed": false, "input": [ "pvsystem.sapm_celltemp(900, 5, 20)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 130, "text": [ "{'tcell': 43.509190983665746, 'tmodule': 40.809190983665744}" ] } ], "prompt_number": 130 }, { "cell_type": "code", "collapsed": false, "input": [ "pvsystem.sapm_celltemp(900, 5, 20, [-3.47, -.0594, 3])" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 131, "text": [ "{'tcell': 43.509190983665746, 'tmodule': 40.809190983665744}" ] } ], "prompt_number": 131 }, { "cell_type": "code", "collapsed": false, "input": [ "wind = np.linspace(0,20,21)\n", "temps = pd.DataFrame(pvsystem.sapm_celltemp(900, wind, 20), index=wind)\n", "temps.head()\n", "temps.plot()\n", "plt.legend()\n", "plt.xlabel('wind speed (m/s)')\n", "plt.ylabel('temperature (deg C)')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 136, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAfMAAAFmCAYAAAB5pHO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIiKB+3+EVp6Q3MwkHQAAAABJRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 136 }, { "cell_type": "code", "collapsed": false, "input": [ "atemp = np.linspace(-20,50,71)\n", "temps = pd.DataFrame(pvsystem.sapm_celltemp(900, 2, atemp), index=atemp)\n", "temps.head()\n", "temps.plot()\n", "plt.legend()\n", "plt.xlabel('ambient temperature (deg C)')\n", "plt.ylabel('temperature (deg C)')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 139, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAfMAAAFmCAYAAAB5pHO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text": [ "" ] } ], "prompt_number": 139 }, { "cell_type": "code", "collapsed": false, "input": [ "irrad = np.linspace(0,1000,101)\n", "temps = pd.DataFrame(pvsystem.sapm_celltemp(irrad, 2, 20), index=irrad)\n", "temps.head()\n", "temps.plot()\n", "plt.legend()\n", "plt.xlabel('incident irradiance (W/m**2)')\n", "plt.ylabel('temperature (deg C)')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 140, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAfoAAAFmCAYAAACFsVhxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nY4zpwazQG2OMMT2YFXpjjDGmB/v/SeMZb7hliwIAAAAASUVORK5CYII=\n", "text": [ "" ] } ], "prompt_number": 140 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Add more here comparing different models" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "snlinverter" ] }, { "cell_type": "code", "collapsed": false, "input": [ "reload(pvsystem)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 151, "text": [ "" ] } ], "prompt_number": 151 }, { "cell_type": "code", "collapsed": false, "input": [ "inverters = pvsystem.retrieve_sam('sandiainverter')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 153 }, { "cell_type": "code", "collapsed": false, "input": [ "inverters" ], "language": "python", "metadata": {}, "outputs": [ { "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", "
ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_ABB__MICRO_0_25_I_OUTD_US_240_240V__CEC_2014_ABB__MICRO_0_3HV_I_OUTD_US_208_208V__CEC_2014_ABB__MICRO_0_3HV_I_OUTD_US_240_240V__CEC_2014_ABB__MICRO_0_3_I_OUTD_US_208_208V__CEC_2014_ABB__MICRO_0_3_I_OUTD_US_240_240V__CEC_2014_Ablerex_Electronics_Co___Ltd___ES_2200_US_240__240_Vac__240V__CEC_2011_Ablerex_Electronics_Co___Ltd___ES_3300_US_240__240_Vac__240V__CEC_2011_Ablerex_Electronics_Co___Ltd___ES_4200_US_240__240_Vac__240V__CEC_2011_Ablerex_Electronics_Co___Ltd___ES_5000_US_240__240_Vac__240V__CEC_2011_...Yes!_Solar_Inc___ES5000__240V__240V__CEC_2009_Yes!_Solar_Inc___ES5300__208V__208V__CEC_2009_Yes!_Solar_Inc___ES5300__240V__240V__CEC_2009_Zhejiang_Yuhui_Solar_Energy_Source__Replus_250A_240V__CEC_2012_Zhejiang_Yuhui_Solar_Energy_Source__Replus_250B_208V__CEC_2012_Zigor__Sunzet_2_TL_US_240V__CEC_2011_Zigor__Sunzet_3_TL_US_240V__CEC_2011_Zigor__Sunzet_4_TL_US_240V__CEC_2011_Zigor__Sunzet_5_TL_US_240V__CEC_2011_Zigor__SUNZET4_USA_240V__CEC_2011_
Vac 208.000000 240.000000 208.000000 240.000000 208.000000 240.000000 240.000000 240.000000 240.000000 240.000000... 240.000000 208.000000 240.000000 240.000000 208.000000 240.000000 240.000000 240.000000 240.000000 240.000000
Paco 250.000000 250.000000 300.000000 300.000000 300.000000 300.000000 2110.000000 3180.000000 4160.000000 5240.000000... 4900.000000 4600.000000 5300.000000 225.190000 213.830000 2110.000000 3180.000000 4160.000000 5240.000000 4030.000000
Pdco 259.522000 259.553000 312.523000 312.022000 311.715000 311.505000 2191.830000 3313.680000 4342.410000 5495.830000... 5135.580000 4829.420000 5571.180000 234.842000 225.563000 2191.830000 3313.680000 4342.410000 5495.830000 4267.480000
Vdco 40.242600 39.982200 45.259400 45.495000 40.227100 40.136100 399.207000 389.513000 388.562000 386.083000... 275.000000 275.000000 274.900000 28.468400 28.632600 399.207000 389.513000 388.562000 386.083000 302.852000
Pso 1.771610 1.931190 1.882620 1.928590 1.971050 1.991340 30.843700 31.265000 31.601700 32.450800... 29.358900 26.071500 28.519000 1.646710 1.845030 30.843700 31.265000 31.601700 32.450800 37.372800
C0 -0.000025 -0.000027 -0.000049 -0.000035 -0.000036 -0.000031 -0.000004 -0.000006 -0.000004 -0.000005... -0.000006 -0.000006 -0.000006 -0.000000 -0.000121 -0.000004 -0.000006 -0.000004 -0.000005 -0.000009
C1 -0.000090 -0.000158 -0.000241 -0.000228 -0.000256 -0.000289 -0.000077 -0.000095 -0.000079 -0.000097... 0.000020 0.000024 0.000019 -0.000358 -0.000533 -0.000077 -0.000095 -0.000079 -0.000097 -0.000029
C2 0.000669 0.001476 0.000975 -0.000224 -0.000833 -0.002113 0.000502 0.000261 0.000213 -0.000251... 0.001868 0.002618 0.001630 -0.013450 0.025867 0.000502 0.000261 0.000213 -0.000251 0.002147
C3 -0.018881 -0.034601 -0.027563 -0.039636 -0.039102 -0.049515 -0.003258 -0.001956 -0.001867 -0.002337... -0.000276 0.000468 -0.000371 -33.506800 -0.066826 -0.003258 -0.001956 -0.001867 -0.002337 -0.001897
Pnt 0.020000 0.050000 0.060000 0.060000 0.020000 0.050000 0.250000 0.250000 0.200000 0.200000... 0.500000 0.500000 0.500000 0.170000 0.170000 0.250000 0.250000 0.200000 0.200000 0.190000
Vdcmax 65.000000 65.000000 79.000000 79.000000 65.000000 65.000000 500.000000 500.000000 500.000000 500.000000... 600.000000 600.000000 600.000000 55.000000 55.000000 500.000000 500.000000 500.000000 500.000000 600.000000
Idcmax 10.000000 10.000000 10.500000 10.500000 10.000000 10.000000 14.600000 22.000000 28.000000 35.300000... 25.000000 25.000000 25.000000 14.000000 14.000000 14.600000 22.000000 28.000000 35.300000 20.000000
Mppt_low 20.000000 20.000000 30.000000 30.000000 30.000000 30.000000 150.000000 150.000000 150.000000 150.000000... 200.000000 200.000000 200.000000 22.000000 22.000000 150.000000 150.000000 150.000000 150.000000 240.000000
Mppt_high 50.000000 50.000000 75.000000 75.000000 50.000000 50.000000 450.000000 450.000000 450.000000 450.000000... 550.000000 550.000000 550.000000 45.000000 45.000000 450.000000 450.000000 450.000000 450.000000 480.000000
\n", "

14 rows \u00d7 1398 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 154, "text": [ " ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_ \\\n", "Vac 208.000000 \n", "Paco 250.000000 \n", "Pdco 259.522000 \n", "Vdco 40.242600 \n", "Pso 1.771610 \n", "C0 -0.000025 \n", "C1 -0.000090 \n", "C2 0.000669 \n", "C3 -0.018881 \n", "Pnt 0.020000 \n", "Vdcmax 65.000000 \n", "Idcmax 10.000000 \n", "Mppt_low 20.000000 \n", "Mppt_high 50.000000 \n", "\n", " ABB__MICRO_0_25_I_OUTD_US_240_240V__CEC_2014_ \\\n", "Vac 240.000000 \n", "Paco 250.000000 \n", "Pdco 259.553000 \n", "Vdco 39.982200 \n", "Pso 1.931190 \n", "C0 -0.000027 \n", "C1 -0.000158 \n", "C2 0.001476 \n", "C3 -0.034601 \n", "Pnt 0.050000 \n", "Vdcmax 65.000000 \n", "Idcmax 10.000000 \n", "Mppt_low 20.000000 \n", "Mppt_high 50.000000 \n", "\n", " ABB__MICRO_0_3HV_I_OUTD_US_208_208V__CEC_2014_ \\\n", "Vac 208.000000 \n", "Paco 300.000000 \n", "Pdco 312.523000 \n", "Vdco 45.259400 \n", "Pso 1.882620 \n", "C0 -0.000049 \n", "C1 -0.000241 \n", "C2 0.000975 \n", "C3 -0.027563 \n", "Pnt 0.060000 \n", "Vdcmax 79.000000 \n", "Idcmax 10.500000 \n", "Mppt_low 30.000000 \n", "Mppt_high 75.000000 \n", "\n", " ABB__MICRO_0_3HV_I_OUTD_US_240_240V__CEC_2014_ \\\n", "Vac 240.000000 \n", "Paco 300.000000 \n", "Pdco 312.022000 \n", "Vdco 45.495000 \n", "Pso 1.928590 \n", "C0 -0.000035 \n", "C1 -0.000228 \n", "C2 -0.000224 \n", "C3 -0.039636 \n", "Pnt 0.060000 \n", "Vdcmax 79.000000 \n", "Idcmax 10.500000 \n", "Mppt_low 30.000000 \n", "Mppt_high 75.000000 \n", "\n", " ABB__MICRO_0_3_I_OUTD_US_208_208V__CEC_2014_ \\\n", "Vac 208.000000 \n", "Paco 300.000000 \n", "Pdco 311.715000 \n", "Vdco 40.227100 \n", "Pso 1.971050 \n", "C0 -0.000036 \n", "C1 -0.000256 \n", "C2 -0.000833 \n", "C3 -0.039102 \n", "Pnt 0.020000 \n", "Vdcmax 65.000000 \n", "Idcmax 10.000000 \n", "Mppt_low 30.000000 \n", "Mppt_high 50.000000 \n", "\n", " ABB__MICRO_0_3_I_OUTD_US_240_240V__CEC_2014_ \\\n", "Vac 240.000000 \n", "Paco 300.000000 \n", "Pdco 311.505000 \n", "Vdco 40.136100 \n", "Pso 1.991340 \n", "C0 -0.000031 \n", "C1 -0.000289 \n", "C2 -0.002113 \n", "C3 -0.049515 \n", "Pnt 0.050000 \n", "Vdcmax 65.000000 \n", "Idcmax 10.000000 \n", "Mppt_low 30.000000 \n", "Mppt_high 50.000000 \n", "\n", " Ablerex_Electronics_Co___Ltd___ES_2200_US_240__240_Vac__240V__CEC_2011_ \\\n", "Vac 240.000000 \n", "Paco 2110.000000 \n", "Pdco 2191.830000 \n", "Vdco 399.207000 \n", "Pso 30.843700 \n", "C0 -0.000004 \n", "C1 -0.000077 \n", "C2 0.000502 \n", "C3 -0.003258 \n", "Pnt 0.250000 \n", "Vdcmax 500.000000 \n", "Idcmax 14.600000 \n", "Mppt_low 150.000000 \n", "Mppt_high 450.000000 \n", "\n", " Ablerex_Electronics_Co___Ltd___ES_3300_US_240__240_Vac__240V__CEC_2011_ \\\n", "Vac 240.000000 \n", "Paco 3180.000000 \n", "Pdco 3313.680000 \n", "Vdco 389.513000 \n", "Pso 31.265000 \n", "C0 -0.000006 \n", "C1 -0.000095 \n", "C2 0.000261 \n", "C3 -0.001956 \n", "Pnt 0.250000 \n", "Vdcmax 500.000000 \n", "Idcmax 22.000000 \n", "Mppt_low 150.000000 \n", "Mppt_high 450.000000 \n", "\n", " Ablerex_Electronics_Co___Ltd___ES_4200_US_240__240_Vac__240V__CEC_2011_ \\\n", "Vac 240.000000 \n", "Paco 4160.000000 \n", "Pdco 4342.410000 \n", "Vdco 388.562000 \n", "Pso 31.601700 \n", "C0 -0.000004 \n", "C1 -0.000079 \n", "C2 0.000213 \n", "C3 -0.001867 \n", "Pnt 0.200000 \n", "Vdcmax 500.000000 \n", "Idcmax 28.000000 \n", "Mppt_low 150.000000 \n", "Mppt_high 450.000000 \n", "\n", " Ablerex_Electronics_Co___Ltd___ES_5000_US_240__240_Vac__240V__CEC_2011_ \\\n", "Vac 240.000000 \n", "Paco 5240.000000 \n", "Pdco 5495.830000 \n", "Vdco 386.083000 \n", "Pso 32.450800 \n", "C0 -0.000005 \n", "C1 -0.000097 \n", "C2 -0.000251 \n", "C3 -0.002337 \n", "Pnt 0.200000 \n", "Vdcmax 500.000000 \n", "Idcmax 35.300000 \n", "Mppt_low 150.000000 \n", "Mppt_high 450.000000 \n", "\n", " ... \\\n", "Vac ... \n", "Paco ... \n", "Pdco ... \n", "Vdco ... \n", "Pso ... \n", "C0 ... \n", "C1 ... \n", "C2 ... \n", "C3 ... \n", "Pnt ... \n", "Vdcmax ... \n", "Idcmax ... \n", "Mppt_low ... \n", "Mppt_high ... \n", "\n", " Yes!_Solar_Inc___ES5000__240V__240V__CEC_2009_ \\\n", "Vac 240.000000 \n", "Paco 4900.000000 \n", "Pdco 5135.580000 \n", "Vdco 275.000000 \n", "Pso 29.358900 \n", "C0 -0.000006 \n", "C1 0.000020 \n", "C2 0.001868 \n", "C3 -0.000276 \n", "Pnt 0.500000 \n", "Vdcmax 600.000000 \n", "Idcmax 25.000000 \n", "Mppt_low 200.000000 \n", "Mppt_high 550.000000 \n", "\n", " Yes!_Solar_Inc___ES5300__208V__208V__CEC_2009_ \\\n", "Vac 208.000000 \n", "Paco 4600.000000 \n", "Pdco 4829.420000 \n", "Vdco 275.000000 \n", "Pso 26.071500 \n", "C0 -0.000006 \n", "C1 0.000024 \n", "C2 0.002618 \n", "C3 0.000468 \n", "Pnt 0.500000 \n", "Vdcmax 600.000000 \n", "Idcmax 25.000000 \n", "Mppt_low 200.000000 \n", "Mppt_high 550.000000 \n", "\n", " Yes!_Solar_Inc___ES5300__240V__240V__CEC_2009_ \\\n", "Vac 240.000000 \n", "Paco 5300.000000 \n", "Pdco 5571.180000 \n", "Vdco 274.900000 \n", "Pso 28.519000 \n", "C0 -0.000006 \n", "C1 0.000019 \n", "C2 0.001630 \n", "C3 -0.000371 \n", "Pnt 0.500000 \n", "Vdcmax 600.000000 \n", "Idcmax 25.000000 \n", "Mppt_low 200.000000 \n", "Mppt_high 550.000000 \n", "\n", " Zhejiang_Yuhui_Solar_Energy_Source__Replus_250A_240V__CEC_2012_ \\\n", "Vac 240.000000 \n", "Paco 225.190000 \n", "Pdco 234.842000 \n", "Vdco 28.468400 \n", "Pso 1.646710 \n", "C0 -0.000000 \n", "C1 -0.000358 \n", "C2 -0.013450 \n", "C3 -33.506800 \n", "Pnt 0.170000 \n", "Vdcmax 55.000000 \n", "Idcmax 14.000000 \n", "Mppt_low 22.000000 \n", "Mppt_high 45.000000 \n", "\n", " Zhejiang_Yuhui_Solar_Energy_Source__Replus_250B_208V__CEC_2012_ \\\n", "Vac 208.000000 \n", "Paco 213.830000 \n", "Pdco 225.563000 \n", "Vdco 28.632600 \n", "Pso 1.845030 \n", "C0 -0.000121 \n", "C1 -0.000533 \n", "C2 0.025867 \n", "C3 -0.066826 \n", "Pnt 0.170000 \n", "Vdcmax 55.000000 \n", "Idcmax 14.000000 \n", "Mppt_low 22.000000 \n", "Mppt_high 45.000000 \n", "\n", " Zigor__Sunzet_2_TL_US_240V__CEC_2011_ \\\n", "Vac 240.000000 \n", "Paco 2110.000000 \n", "Pdco 2191.830000 \n", "Vdco 399.207000 \n", "Pso 30.843700 \n", "C0 -0.000004 \n", "C1 -0.000077 \n", "C2 0.000502 \n", "C3 -0.003258 \n", "Pnt 0.250000 \n", "Vdcmax 500.000000 \n", "Idcmax 14.600000 \n", "Mppt_low 150.000000 \n", "Mppt_high 450.000000 \n", "\n", " Zigor__Sunzet_3_TL_US_240V__CEC_2011_ \\\n", "Vac 240.000000 \n", "Paco 3180.000000 \n", "Pdco 3313.680000 \n", "Vdco 389.513000 \n", "Pso 31.265000 \n", "C0 -0.000006 \n", "C1 -0.000095 \n", "C2 0.000261 \n", "C3 -0.001956 \n", "Pnt 0.250000 \n", "Vdcmax 500.000000 \n", "Idcmax 22.000000 \n", "Mppt_low 150.000000 \n", "Mppt_high 450.000000 \n", "\n", " Zigor__Sunzet_4_TL_US_240V__CEC_2011_ \\\n", "Vac 240.000000 \n", "Paco 4160.000000 \n", "Pdco 4342.410000 \n", "Vdco 388.562000 \n", "Pso 31.601700 \n", "C0 -0.000004 \n", "C1 -0.000079 \n", "C2 0.000213 \n", "C3 -0.001867 \n", "Pnt 0.200000 \n", "Vdcmax 500.000000 \n", "Idcmax 28.000000 \n", "Mppt_low 150.000000 \n", "Mppt_high 450.000000 \n", "\n", " Zigor__Sunzet_5_TL_US_240V__CEC_2011_ \\\n", "Vac 240.000000 \n", "Paco 5240.000000 \n", "Pdco 5495.830000 \n", "Vdco 386.083000 \n", "Pso 32.450800 \n", "C0 -0.000005 \n", "C1 -0.000097 \n", "C2 -0.000251 \n", "C3 -0.002337 \n", "Pnt 0.200000 \n", "Vdcmax 500.000000 \n", "Idcmax 35.300000 \n", "Mppt_low 150.000000 \n", "Mppt_high 450.000000 \n", "\n", " Zigor__SUNZET4_USA_240V__CEC_2011_ \n", "Vac 240.000000 \n", "Paco 4030.000000 \n", "Pdco 4267.480000 \n", "Vdco 302.852000 \n", "Pso 37.372800 \n", "C0 -0.000009 \n", "C1 -0.000029 \n", "C2 0.002147 \n", "C3 -0.001897 \n", "Pnt 0.190000 \n", "Vdcmax 600.000000 \n", "Idcmax 20.000000 \n", "Mppt_low 240.000000 \n", "Mppt_high 480.000000 \n", "\n", "[14 rows x 1398 columns]" ] } ], "prompt_number": 154 }, { "cell_type": "code", "collapsed": false, "input": [ "vdcs = pd.Series(np.linspace(0,50,51))\n", "idcs = pd.Series(np.linspace(0,11,110))\n", "pdcs = idcs * vdcs\n", "\n", "pacs = pvsystem.snlinverter(inverters['ABB__MICRO_0_25_I_OUTD_US_208_208V__CEC_2014_'], vdcs, pdcs)\n", "#pacs.plot()\n", "plt.plot(pacs, pdcs)\n", "plt.ylabel('ac power')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 159, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAf0AAAFXCAYAAACoS5cAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nybUAAAAASUVORK5CYII=\n", "text": [ "" ] } ], "prompt_number": 159 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Need to put more effort into describing this function." ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "SAPM and singlediode" ] }, { "cell_type": "code", "collapsed": false, "input": [ "reload(pvsystem)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 200, "text": [ "" ] } ], "prompt_number": 200 }, { "cell_type": "code", "collapsed": false, "input": [ "sam_data = {}" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 204 }, { "cell_type": "code", "collapsed": false, "input": [ "sam_data['cecmod'] = pvsystem.retrieve_sam('cecmod')\n", "sam_data['sandiamod'] = pvsystem.retrieve_sam(name='SandiaMod')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 212 }, { "cell_type": "code", "collapsed": false, "input": [ "cecmodule = sam_data['cecmod'].Example_Module \n", "module" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 213, "text": [ "T_noct 65\n", "A_c 0.67\n", "N_s 18\n", "I_sc_ref 7.5\n", "V_oc_ref 10.4\n", "I_mp_ref 6.6\n", "V_mp_ref 8.4\n", "Alpha_sc 0.003\n", "Beta_oc -0.04\n", "A_ref 0.473\n", "I_l_ref 7.545\n", "I_o_ref 1.943e-09\n", "R_s 0.094\n", "R_sh_ref 15.72\n", "Adjust 10.6\n", "Gamma_r -0.5\n", "Source Multi-c-Si\n", "Name: Example_Module, dtype: object" ] } ], "prompt_number": 213 }, { "cell_type": "code", "collapsed": false, "input": [ "sandiamodule = sam_data['sandiamod'].Canadian_Solar_CS5P_220M___2009_\n", "sandiamodule" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 214, "text": [ "Vintage 2009\n", "Area 1.701\n", "Material c-Si\n", "#Series 96\n", "#Parallel 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 -6.93035e-05\n", "B0 1\n", "B1 -0.002438\n", "B2 0.0003103\n", "B3 -1.246e-05\n", "B4 2.112e-07\n", "B5 -1.359e-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" ] } ], "prompt_number": 214 }, { "cell_type": "code", "collapsed": false, "input": [ "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", "times = pd.date_range(start=datetime.datetime(2014,1,1), end=datetime.datetime(2014,1,2), freq='1Min')\n", "ephem_data = pvlib.solarposition.get_solarposition(times, tus, method='pyephem')\n", "irrad_data = clearsky.ineichen(times, tus, solarposition_method='pyephem')\n", "#irrad_data.plot()\n", "\n", "aoi = irradiance.aoi(0, 0, ephem_data['apparent_zenith'], ephem_data['apparent_azimuth'])\n", "#plt.figure()\n", "#aoi.plot()\n", "\n", "am = atmosphere.relativeairmass(ephem_data.apparent_zenith)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 190 }, { "cell_type": "code", "collapsed": false, "input": [ "sapm = pvsystem.sapm(sandiamodule, irrad_data.DNI, irrad_data.DHI, 25, am, aoi)\n", "sapm.plot()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 215, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAfcAAAFNCAYAAAAdJCY0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkYx7IpFIJBIlIxn3RCKRSCRKxterpjImQ+eg/wAAAABJRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 215 }, { "cell_type": "code", "collapsed": false, "input": [ "IL, I0, Rs, Rsh, nNsVth = pvsystem.calcparams_desoto(S=irrad_data.GHI,\n", " Tcell=25,\n", " alpha_isc=cecmodule['Alpha_sc'],\n", " module_parameters=cecmodule,\n", " EgRef=1.121,\n", " dEgdT=-0.0002677)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 216 }, { "cell_type": "code", "collapsed": false, "input": [ "sdDFOut = pvsystem.singlediode(Module=cecmodule,\n", " IL=IL,\n", " I0=I0,\n", " Rs=Rs,\n", " Rsh=Rsh,\n", " nNsVth=nNsVth)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 217 }, { "cell_type": "code", "collapsed": false, "input": [ "sdDFOut.Pmp.plot()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 219, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAfcAAAFNCAYAAAAdJCY0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n", "text": [ "" ] } ], "prompt_number": 219 }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [] } ], "metadata": {} } ] }