docs/tutorials/0 - quickStart Example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 0 - quickStart Example\n",
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook will guide you through the basic functionality of PV_ICE. Once you are done with this tutorial, you will be able to:\n",
    "* Set up a PV_ICE simulation and create scenarios.\n",
    "* Compute Mass and Energy flows calculations.\n",
    "* Plot results.\n",
    "\n",
    "Please refer to the [PV_ICE documentation page](https://pv-ice.readthedocs.io/en/latest/index.html) to get a complete insight of the package."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0.1 &emsp; Simulation Setup <a id='0.1'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To setup a PV_ICE simulation we need (1) import necessary packages, (2) create simulation folder path, (3) create a baseline path.\n",
    "\n",
    "First let's import the necessary libraries for this notebook:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Successfully imported PV_ICE, version  v0.2.0+459.g7b52e10.dirty\n"
     ]
    }
   ],
   "source": [
    "import os # Creates and removes a directory (folder), fetch its contents, change and identify the current directory\n",
    "from pathlib import Path\n",
    "import PV_ICE # Load PV_ICE package\n",
    "\n",
    "print(\"Successfully imported PV_ICE, version \", PV_ICE.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### 1. Create a folder for your simulation, and load PV ICE\n",
    "\n",
    "Let's set the folder where the **simulation** will be saved. By default, this is the TEMP folder in the PV_ICE distribution, however, we have created a TEMP folder in the present folder for simplicity.\n",
    "\n",
    "<div class=\"alert alert-block alert-info\">\n",
    "<b>Tip:</b> The lines below find the location of the folder relative to this Jupyter Journal, where `Path().resolve()` points at the current notebook absolute location, add `.parent` to navigate to previous folders and `/ 'folder' / ...` to navigate within a specific folder.. You can alternatively point to an empty directory (it will open a load GUI Visual Interface) or specify any other directory in your computer.\n",
    "</div>\n",
    "\n",
    "\n",
    "Using the same logic, setup the **baselines** folder. This is where all the baselines are stored in .csv format. A folder with multiple baselines can be found in the PV_ICE repository (PV_ICE/PV_ICE/baselines), you can always copy this folder and put it in a path of your choice. You may also create your own baselines (following the key structure used in PV_ICE for scenarios and materials)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your simulation will be stored in C:\\Users\\sayala\\Documents\\GitHub\\PV_ICE\\PV_ICE\\TEMP\\Tutorial0\n",
      "Your baselines are stored in C:\\Users\\sayala\\Documents\\GitHub\\PV_ICE\\PV_ICE\\baselines\n"
     ]
    }
   ],
   "source": [
    "testfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'TEMP' / 'Tutorial0') # Path to the simulation folder.\n",
    "\n",
    "baselinesfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'baselines')  # Path to baselines and data.\n",
    "\n",
    "# Another option using relative address; for some operative systems you might need '/' instead of '\\'\n",
    "# testfolder = os.path.abspath(r'..\\..\\PV_DEMICE\\TEMP')  \n",
    "\n",
    "print (\"Your simulation will be stored in %s\" % testfolder)\n",
    "print (\"Your baselines are stored in %s\" % baselinesfolder)\n",
    "\n",
    "if not os.path.exists(testfolder):\n",
    "    os.makedirs(testfolder)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 0.2.  Create Simulation Object <a id='0.2'></a>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The simulation object will create a container for all the different scenario(s) you might want to test. The method Simulation requires two inputs:\n",
    "* `name` for the simulation (in this example `'Simulation_1'`), if no name is given the program will autogenerate a default name with the current date\n",
    "* `path`, this is where we insert `testfolder` defined above, we named this simulation object `r1`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "path = C:\\Users\\sayala\\Documents\\GitHub\\PV_ICE\\PV_ICE\\TEMP\\Tutorial0\n",
      "Baseline folder directed to default:  C:\\Users\\sayala\\Documents\\GitHub\\PV_ICE\\PV_ICE\\baselines\n",
      "<class 'str'>\n",
      "Simulation_1\n",
      "C:\\Users\\sayala\\Documents\\GitHub\\PV_ICE\\PV_ICE\\TEMP\\Tutorial0\n"
     ]
    }
   ],
   "source": [
    "r1 = PV_ICE.Simulation(name='Simulation_1', path=testfolder); # Is it possible to define more than one simulation here?\n",
    "print(r1.name) # Shows the name of the simulation object\n",
    "print(r1.path) # Shows the path of the simulation object"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Specify your baseline Scenario \n",
    "\n",
    "We have put together scenarios representing the average module for various situations, for example throughout the US history. We will load this baseline scenario now, and it will be named ``standard``:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Please pass one of the following options:  ['baseline_modules_mass_US.csv', 'baseline_modules_mass_US_CdTe.csv', 'baseline_modules_mass_US_HistoryUtilCommOnly.csv', 'baseline_modules_mass_US_updatedT50T90.csv', 'baseline_modules_mass_World.csv']\n"
     ]
    }
   ],
   "source": [
    "r1.createScenario(name='standard')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If no massmodulefile baseline is passed, it will print out all of the options as above. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No energy module file passed. If desired, pass one of the following options:  ['baseline_modules_energy.csv']\n"
     ]
    }
   ],
   "source": [
    "r1.createScenario(name='standard', massmodulefile='baseline_modules_mass_US.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Other ways of passing the file include passing the whole path as below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No energy module file passed. If desired, pass one of the following options:  ['baseline_modules_energy.csv']\n"
     ]
    }
   ],
   "source": [
    "r1.createScenario(name='standard', massmodulefile=os.path.join(baselinesfolder,'baseline_modules_mass_US.csv'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "##  Alternative method\n",
    "# modulefile = r'C:\\Users\\sayala\\Documents\\GitHub\\PV_ICE\\PV_ICE\\baselines\\baseline_modules_mass_US.csv'\n",
    "# r1.createScenario(name='standard', massmodulefile=modulefile)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "\n",
    "### 4. Specify material(s)\n",
    "\n",
    "We will add the material 'glass' to our simulation. Years of data must match, and they do if using the provided baselines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adding Mass AND Energy files for:  glass\n"
     ]
    }
   ],
   "source": [
    "r1.scenario['standard'].addMaterials(['glass'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'materialname': 'glass',\n",
       " 'massmatfile': 'C:\\\\Users\\\\sayala\\\\Documents\\\\GitHub\\\\PV_ICE\\\\PV_ICE\\\\baselines\\\\baseline_material_mass_glass.csv',\n",
       " 'matmetdataIn_m': {'year': 'year',\n",
       "  'mat_virgin_eff': '%',\n",
       "  'mat_massperm2': 'g',\n",
       "  'mat_MFG_eff': '%',\n",
       "  'mat_MFG_scrap_Recycled': '%',\n",
       "  'mat_MFG_scrap_Recycling_eff': '%',\n",
       "  'mat_MFG_scrap_Recycled_into_HQ': '%',\n",
       "  'mat_MFG_scrap_Recycled_into_HQ_Reused4MFG': '%',\n",
       "  'mat_PG3_ReMFG_target': '%',\n",
       "  'mat_ReMFG_yield': '%',\n",
       "  'mat_PG4_Recycling_target': '%',\n",
       "  'mat_Recycling_yield': '%',\n",
       "  'mat_EOL_Recycled_into_HQ': '%',\n",
       "  'mat_EOL_RecycledHQ_Reused4MFG': '%'},\n",
       " 'matdataIn_m':     year  mat_virgin_eff  mat_massperm2  mat_MFG_eff  mat_MFG_scrap_Recycled  \\\n",
       " 0   1995            60.0     8000.00000         95.0                    80.0   \n",
       " 1   1996            60.0     8000.00000         95.0                    80.0   \n",
       " 2   1997            60.0     8000.00000         95.0                    80.0   \n",
       " 3   1998            60.0     8000.00000         95.0                    80.0   \n",
       " 4   1999            60.0     8000.00000         95.0                    80.0   \n",
       " 5   2000            60.0     8000.00000         95.0                    80.0   \n",
       " 6   2001            60.0     8000.00000         95.0                    80.0   \n",
       " 7   2002            60.0     8000.00000         95.0                    80.0   \n",
       " 8   2003            60.0     8000.00000         95.0                    80.0   \n",
       " 9   2004            60.0     8000.00000         95.0                    80.0   \n",
       " 10  2005            60.0     8000.00000         95.0                    80.0   \n",
       " 11  2006            60.0     8000.00000         95.0                    80.0   \n",
       " 12  2007            60.0     8000.00000         95.0                    80.0   \n",
       " 13  2008            60.0     8000.00000         95.0                    80.0   \n",
       " 14  2009            60.0     8000.00000         95.0                    80.0   \n",
       " 15  2010            60.0     8000.00000         95.0                    80.0   \n",
       " 16  2011            60.0     8000.00000         95.0                    80.0   \n",
       " 17  2012            60.0     8080.00000         95.0                    80.0   \n",
       " 18  2013            60.0     8160.00000         95.0                    80.0   \n",
       " 19  2014            60.0     8292.70000         95.2                    80.0   \n",
       " 20  2015            60.0     8225.66250         95.5                    80.0   \n",
       " 21  2016            60.0     8158.88750         95.7                    80.0   \n",
       " 22  2017            60.0     8289.75000         95.9                    80.0   \n",
       " 23  2018            60.0     8350.15000         96.2                    80.0   \n",
       " 24  2019            60.0     8607.50000         96.4                    80.0   \n",
       " 25  2020            60.0     8975.50000         96.6                    80.0   \n",
       " 26  2021            60.0     9284.58750         96.9                    80.0   \n",
       " 27  2022            60.0     9626.50000         97.1                    80.0   \n",
       " 28  2023            60.0     9805.45000         97.4                    80.0   \n",
       " 29  2024            60.0     9977.40000         97.6                    80.0   \n",
       " 30  2025            60.0     9940.23750         97.8                    80.0   \n",
       " 31  2026            60.0     9901.50000         98.1                    80.0   \n",
       " 32  2027            60.0    10008.40556         98.3                    80.0   \n",
       " 33  2028            60.0    10113.40556         98.5                    80.0   \n",
       " 34  2029            60.0    10216.50000         98.8                    80.0   \n",
       " 35  2030            60.0    10170.91111         99.0                    80.0   \n",
       " 36  2031            60.0    10125.01111         99.0                    80.0   \n",
       " 37  2032            60.0    10125.01111         99.0                    80.0   \n",
       " 38  2033            60.0    10125.01111         99.0                    80.0   \n",
       " 39  2034            60.0    10125.01111         99.0                    80.0   \n",
       " 40  2035            60.0    10125.01111         99.0                    80.0   \n",
       " 41  2036            60.0    10125.01111         99.0                    80.0   \n",
       " 42  2037            60.0    10125.01111         99.0                    80.0   \n",
       " 43  2038            60.0    10125.01111         99.0                    80.0   \n",
       " 44  2039            60.0    10125.01111         99.0                    80.0   \n",
       " 45  2040            60.0    10125.01111         99.0                    80.0   \n",
       " 46  2041            60.0    10125.01111         99.0                    80.0   \n",
       " 47  2042            60.0    10125.01111         99.0                    80.0   \n",
       " 48  2043            60.0    10125.01111         99.0                    80.0   \n",
       " 49  2044            60.0    10125.01111         99.0                    80.0   \n",
       " 50  2045            60.0    10125.01111         99.0                    80.0   \n",
       " 51  2046            60.0    10125.01111         99.0                    80.0   \n",
       " 52  2047            60.0    10125.01111         99.0                    80.0   \n",
       " 53  2048            60.0    10125.01111         99.0                    80.0   \n",
       " 54  2049            60.0    10125.01111         99.0                    80.0   \n",
       " 55  2050            60.0    10125.01111         99.0                    80.0   \n",
       " \n",
       "     mat_MFG_scrap_Recycling_eff  mat_MFG_scrap_Recycled_into_HQ  \\\n",
       " 0                          50.0                            20.0   \n",
       " 1                          50.0                            20.0   \n",
       " 2                          50.0                            20.0   \n",
       " 3                          50.0                            20.0   \n",
       " 4                          50.0                            20.0   \n",
       " 5                          50.0                            20.0   \n",
       " 6                          50.0                            20.0   \n",
       " 7                          50.0                            20.0   \n",
       " 8                          50.0                            20.0   \n",
       " 9                          50.0                            20.0   \n",
       " 10                         50.0                            20.0   \n",
       " 11                         50.0                            20.0   \n",
       " 12                         50.0                            20.0   \n",
       " 13                         50.0                            20.0   \n",
       " 14                         50.0                            20.0   \n",
       " 15                         50.0                            20.0   \n",
       " 16                         50.0                            20.0   \n",
       " 17                         50.0                            20.0   \n",
       " 18                         50.0                            20.0   \n",
       " 19                         50.0                            20.0   \n",
       " 20                         50.0                            20.0   \n",
       " 21                         50.0                            20.0   \n",
       " 22                         50.0                            20.0   \n",
       " 23                         50.0                            20.0   \n",
       " 24                         50.0                            20.0   \n",
       " 25                         50.0                            20.0   \n",
       " 26                         50.0                            20.0   \n",
       " 27                         50.0                            20.0   \n",
       " 28                         50.0                            20.0   \n",
       " 29                         50.0                            20.0   \n",
       " 30                         50.0                            20.0   \n",
       " 31                         50.0                            20.0   \n",
       " 32                         50.0                            20.0   \n",
       " 33                         50.0                            20.0   \n",
       " 34                         50.0                            20.0   \n",
       " 35                         50.0                            20.0   \n",
       " 36                         50.0                            20.0   \n",
       " 37                         50.0                            20.0   \n",
       " 38                         50.0                            20.0   \n",
       " 39                         50.0                            20.0   \n",
       " 40                         50.0                            20.0   \n",
       " 41                         50.0                            20.0   \n",
       " 42                         50.0                            20.0   \n",
       " 43                         50.0                            20.0   \n",
       " 44                         50.0                            20.0   \n",
       " 45                         50.0                            20.0   \n",
       " 46                         50.0                            20.0   \n",
       " 47                         50.0                            20.0   \n",
       " 48                         50.0                            20.0   \n",
       " 49                         50.0                            20.0   \n",
       " 50                         50.0                            20.0   \n",
       " 51                         50.0                            20.0   \n",
       " 52                         50.0                            20.0   \n",
       " 53                         50.0                            20.0   \n",
       " 54                         50.0                            20.0   \n",
       " 55                         50.0                            20.0   \n",
       " \n",
       "     mat_MFG_scrap_Recycled_into_HQ_Reused4MFG  mat_PG3_ReMFG_target  \\\n",
       " 0                                        10.0                   0.0   \n",
       " 1                                        10.0                   0.0   \n",
       " 2                                        10.0                   0.0   \n",
       " 3                                        10.0                   0.0   \n",
       " 4                                        10.0                   0.0   \n",
       " 5                                        10.0                   0.0   \n",
       " 6                                        10.0                   0.0   \n",
       " 7                                        10.0                   0.0   \n",
       " 8                                        10.0                   0.0   \n",
       " 9                                        10.0                   0.0   \n",
       " 10                                       10.0                   0.0   \n",
       " 11                                       10.0                   0.0   \n",
       " 12                                       10.0                   0.0   \n",
       " 13                                       10.0                   0.0   \n",
       " 14                                       10.0                   0.0   \n",
       " 15                                       10.0                   0.0   \n",
       " 16                                       10.0                   0.0   \n",
       " 17                                       10.0                   0.0   \n",
       " 18                                       10.0                   0.0   \n",
       " 19                                       10.0                   0.0   \n",
       " 20                                       10.0                   0.0   \n",
       " 21                                       10.0                   0.0   \n",
       " 22                                       10.0                   0.0   \n",
       " 23                                       10.0                   0.0   \n",
       " 24                                       10.0                   0.0   \n",
       " 25                                       10.0                   0.0   \n",
       " 26                                       10.0                   0.0   \n",
       " 27                                       10.0                   0.0   \n",
       " 28                                       10.0                   0.0   \n",
       " 29                                       10.0                   0.0   \n",
       " 30                                       10.0                   0.0   \n",
       " 31                                       10.0                   0.0   \n",
       " 32                                       10.0                   0.0   \n",
       " 33                                       10.0                   0.0   \n",
       " 34                                       10.0                   0.0   \n",
       " 35                                       10.0                   0.0   \n",
       " 36                                       10.0                   0.0   \n",
       " 37                                       10.0                   0.0   \n",
       " 38                                       10.0                   0.0   \n",
       " 39                                       10.0                   0.0   \n",
       " 40                                       10.0                   0.0   \n",
       " 41                                       10.0                   0.0   \n",
       " 42                                       10.0                   0.0   \n",
       " 43                                       10.0                   0.0   \n",
       " 44                                       10.0                   0.0   \n",
       " 45                                       10.0                   0.0   \n",
       " 46                                       10.0                   0.0   \n",
       " 47                                       10.0                   0.0   \n",
       " 48                                       10.0                   0.0   \n",
       " 49                                       10.0                   0.0   \n",
       " 50                                       10.0                   0.0   \n",
       " 51                                       10.0                   0.0   \n",
       " 52                                       10.0                   0.0   \n",
       " 53                                       10.0                   0.0   \n",
       " 54                                       10.0                   0.0   \n",
       " 55                                       10.0                   0.0   \n",
       " \n",
       "     mat_ReMFG_yield  mat_PG4_Recycling_target  mat_Recycling_yield  \\\n",
       " 0              50.0                      90.0                 40.0   \n",
       " 1              50.0                      90.0                 40.0   \n",
       " 2              50.0                      90.0                 40.0   \n",
       " 3              50.0                      90.0                 40.0   \n",
       " 4              50.0                      90.0                 40.0   \n",
       " 5              50.0                      90.0                 40.0   \n",
       " 6              50.0                      90.0                 40.0   \n",
       " 7              50.0                      90.0                 40.0   \n",
       " 8              50.0                      90.0                 40.0   \n",
       " 9              50.0                      90.0                 40.0   \n",
       " 10             50.0                      90.0                 40.0   \n",
       " 11             50.0                      90.0                 40.0   \n",
       " 12             50.0                      90.0                 40.0   \n",
       " 13             50.0                      90.0                 40.0   \n",
       " 14             50.0                      90.0                 40.0   \n",
       " 15             50.0                      90.0                 40.0   \n",
       " 16             50.0                      90.0                 40.0   \n",
       " 17             50.0                      90.0                 40.0   \n",
       " 18             50.0                      90.0                 40.0   \n",
       " 19             50.0                      90.0                 40.0   \n",
       " 20             50.0                      90.0                 40.0   \n",
       " 21             50.0                      90.0                 40.0   \n",
       " 22             50.0                      90.0                 40.0   \n",
       " 23             50.0                      90.0                 40.0   \n",
       " 24             50.0                      90.0                 40.0   \n",
       " 25             50.0                      90.0                 40.0   \n",
       " 26             50.0                      90.0                 40.0   \n",
       " 27             50.0                      90.0                 40.0   \n",
       " 28             50.0                      90.0                 40.0   \n",
       " 29             50.0                      90.0                 40.0   \n",
       " 30             50.0                      90.0                 40.0   \n",
       " 31             50.0                      90.0                 40.0   \n",
       " 32             50.0                      90.0                 40.0   \n",
       " 33             50.0                      90.0                 40.0   \n",
       " 34             50.0                      90.0                 40.0   \n",
       " 35             50.0                      90.0                 40.0   \n",
       " 36             50.0                      90.0                 40.0   \n",
       " 37             50.0                      90.0                 40.0   \n",
       " 38             50.0                      90.0                 40.0   \n",
       " 39             50.0                      90.0                 40.0   \n",
       " 40             50.0                      90.0                 40.0   \n",
       " 41             50.0                      90.0                 40.0   \n",
       " 42             50.0                      90.0                 40.0   \n",
       " 43             50.0                      90.0                 40.0   \n",
       " 44             50.0                      90.0                 40.0   \n",
       " 45             50.0                      90.0                 40.0   \n",
       " 46             50.0                      90.0                 40.0   \n",
       " 47             50.0                      90.0                 40.0   \n",
       " 48             50.0                      90.0                 40.0   \n",
       " 49             50.0                      90.0                 40.0   \n",
       " 50             50.0                      90.0                 40.0   \n",
       " 51             50.0                      90.0                 40.0   \n",
       " 52             50.0                      90.0                 40.0   \n",
       " 53             50.0                      90.0                 40.0   \n",
       " 54             50.0                      90.0                 40.0   \n",
       " 55             50.0                      90.0                 40.0   \n",
       " \n",
       "     mat_EOL_Recycled_into_HQ  mat_EOL_RecycledHQ_Reused4MFG  \n",
       " 0                       15.0                            8.0  \n",
       " 1                       15.0                            8.0  \n",
       " 2                       15.0                            8.0  \n",
       " 3                       15.0                            8.0  \n",
       " 4                       15.0                            8.0  \n",
       " 5                       15.0                            8.0  \n",
       " 6                       15.0                            8.0  \n",
       " 7                       15.0                            8.0  \n",
       " 8                       15.0                            8.0  \n",
       " 9                       15.0                            8.0  \n",
       " 10                      15.0                            8.0  \n",
       " 11                      15.0                            8.0  \n",
       " 12                      15.0                            8.0  \n",
       " 13                      15.0                            8.0  \n",
       " 14                      15.0                            8.0  \n",
       " 15                      15.0                            8.0  \n",
       " 16                      15.0                            8.0  \n",
       " 17                      15.0                            8.0  \n",
       " 18                      15.0                            8.0  \n",
       " 19                      15.0                            8.0  \n",
       " 20                      15.0                            8.0  \n",
       " 21                      15.0                            8.0  \n",
       " 22                      15.0                            8.0  \n",
       " 23                      15.0                            8.0  \n",
       " 24                      15.0                            8.0  \n",
       " 25                      15.0                            8.0  \n",
       " 26                      15.0                            8.0  \n",
       " 27                      15.0                            8.0  \n",
       " 28                      15.0                            8.0  \n",
       " 29                      15.0                            8.0  \n",
       " 30                      15.0                            8.0  \n",
       " 31                      15.0                            8.0  \n",
       " 32                      15.0                            8.0  \n",
       " 33                      15.0                            8.0  \n",
       " 34                      15.0                            8.0  \n",
       " 35                      15.0                            8.0  \n",
       " 36                      15.0                            8.0  \n",
       " 37                      15.0                            8.0  \n",
       " 38                      15.0                            8.0  \n",
       " 39                      15.0                            8.0  \n",
       " 40                      15.0                            8.0  \n",
       " 41                      15.0                            8.0  \n",
       " 42                      15.0                            8.0  \n",
       " 43                      15.0                            8.0  \n",
       " 44                      15.0                            8.0  \n",
       " 45                      15.0                            8.0  \n",
       " 46                      15.0                            8.0  \n",
       " 47                      15.0                            8.0  \n",
       " 48                      15.0                            8.0  \n",
       " 49                      15.0                            8.0  \n",
       " 50                      15.0                            8.0  \n",
       " 51                      15.0                            8.0  \n",
       " 52                      15.0                            8.0  \n",
       " 53                      15.0                            8.0  \n",
       " 54                      15.0                            8.0  \n",
       " 55                      15.0                            8.0  ,\n",
       " 'energymatfile': 'C:\\\\Users\\\\sayala\\\\Documents\\\\GitHub\\\\PV_ICE\\\\PV_ICE\\\\baselines\\\\baseline_material_energy_glass.csv',\n",
       " 'matmetdataIn_e': {'year': 'year',\n",
       "  'e_mat_extraction': 'kWh/kg',\n",
       "  'e_mat_MFG': 'kWh/kg',\n",
       "  'e_mat_MFG_fuelfraction': '%',\n",
       "  'e_mat_MFGScrap_LQ': 'kWh/kg',\n",
       "  'e_mat_MFGScrap_HQ': 'kWh/kg',\n",
       "  'e_mat_Landfill': 'kWh/kg',\n",
       "  'e_mat_Landfill_fuelfraction': '%',\n",
       "  'e_mat_EoL_ReMFG_clean': 'kWh/kg',\n",
       "  'e_mat_Recycled_LQ': 'kWh/kg',\n",
       "  'e_mat_Recycled_HQ': 'kWh/kg',\n",
       "  'e_mat_Recycled_HQ_fuelfraction': '%'},\n",
       " 'matdataIn_e':     year  e_mat_extraction  e_mat_MFG  e_mat_MFG_fuelfraction  \\\n",
       " 0   1995            0.0062   4.591724               80.039660   \n",
       " 1   1996            0.0062   4.591724               80.039660   \n",
       " 2   1997            0.0062   4.591724               80.039660   \n",
       " 3   1998            0.0062   4.539363               80.026683   \n",
       " 4   1999            0.0062   4.487001               80.015438   \n",
       " 5   2000            0.0062   4.434640               80.005988   \n",
       " 6   2001            0.0062   4.382279               79.998397   \n",
       " 7   2002            0.0062   4.318724               80.200079   \n",
       " 8   2003            0.0062   4.255168               80.409933   \n",
       " 9   2004            0.0062   4.191613               80.628330   \n",
       " 10  2005            0.0062   4.128057               80.855665   \n",
       " 11  2006            0.0062   4.064501               81.092357   \n",
       " 12  2007            0.0062   4.022057               81.475723   \n",
       " 13  2008            0.0062   3.979613               81.867267   \n",
       " 14  2009            0.0062   3.937168               82.267252   \n",
       " 15  2010            0.0062   3.894724               82.675956   \n",
       " 16  2011            0.0062   3.852279               83.093666   \n",
       " 17  2012            0.0062   3.809835               83.520683   \n",
       " 18  2013            0.0062   3.767390               83.957322   \n",
       " 19  2014            0.0062   3.724946               84.403912   \n",
       " 20  2015            0.0062   3.682501               84.860796   \n",
       " 21  2016            0.0062   3.640057               85.328335   \n",
       " 22  2017            0.0062   3.597613               85.806906   \n",
       " 23  2018            0.0062   3.555168               86.296905   \n",
       " 24  2019            0.0062   3.512724               86.798744   \n",
       " 25  2020            0.0062   3.512724               86.798744   \n",
       " 26  2021            0.0062   3.512724               86.798744   \n",
       " 27  2022            0.0062   3.512724               86.798744   \n",
       " 28  2023            0.0062   3.512724               86.798744   \n",
       " 29  2024            0.0062   3.512724               86.798744   \n",
       " 30  2025            0.0062   3.512724               86.798744   \n",
       " 31  2026            0.0062   3.512724               86.798744   \n",
       " 32  2027            0.0062   3.512724               86.798744   \n",
       " 33  2028            0.0062   3.512724               86.798744   \n",
       " 34  2029            0.0062   3.512724               86.798744   \n",
       " 35  2030            0.0062   3.512724               86.798744   \n",
       " 36  2031            0.0062   3.512724               86.798744   \n",
       " 37  2032            0.0062   3.512724               86.798744   \n",
       " 38  2033            0.0062   3.512724               86.798744   \n",
       " 39  2034            0.0062   3.512724               86.798744   \n",
       " 40  2035            0.0062   3.512724               86.798744   \n",
       " 41  2036            0.0062   3.512724               86.798744   \n",
       " 42  2037            0.0062   3.512724               86.798744   \n",
       " 43  2038            0.0062   3.512724               86.798744   \n",
       " 44  2039            0.0062   3.512724               86.798744   \n",
       " 45  2040            0.0062   3.512724               86.798744   \n",
       " 46  2041            0.0062   3.512724               86.798744   \n",
       " 47  2042            0.0062   3.512724               86.798744   \n",
       " 48  2043            0.0062   3.512724               86.798744   \n",
       " 49  2044            0.0062   3.512724               86.798744   \n",
       " 50  2045            0.0062   3.512724               86.798744   \n",
       " 51  2046            0.0062   3.512724               86.798744   \n",
       " 52  2047            0.0062   3.512724               86.798744   \n",
       " 53  2048            0.0062   3.512724               86.798744   \n",
       " 54  2049            0.0062   3.512724               86.798744   \n",
       " 55  2050            0.0062   3.512724               86.798744   \n",
       " \n",
       "     e_mat_MFGScrap_LQ  e_mat_MFGScrap_HQ  e_mat_Landfill  \\\n",
       " 0                 1.4                1.4            0.09   \n",
       " 1                 1.4                1.4            0.09   \n",
       " 2                 1.4                1.4            0.09   \n",
       " 3                 1.4                1.4            0.09   \n",
       " 4                 1.4                1.4            0.09   \n",
       " 5                 1.4                1.4            0.09   \n",
       " 6                 1.4                1.4            0.09   \n",
       " 7                 1.4                1.4            0.09   \n",
       " 8                 1.4                1.4            0.09   \n",
       " 9                 1.4                1.4            0.09   \n",
       " 10                1.4                1.4            0.09   \n",
       " 11                1.4                1.4            0.09   \n",
       " 12                1.4                1.4            0.09   \n",
       " 13                1.4                1.4            0.09   \n",
       " 14                1.4                1.4            0.09   \n",
       " 15                1.4                1.4            0.09   \n",
       " 16                1.4                1.4            0.09   \n",
       " 17                1.4                1.4            0.09   \n",
       " 18                1.4                1.4            0.09   \n",
       " 19                1.4                1.4            0.09   \n",
       " 20                1.4                1.4            0.09   \n",
       " 21                1.4                1.4            0.09   \n",
       " 22                1.4                1.4            0.09   \n",
       " 23                1.4                1.4            0.09   \n",
       " 24                1.4                1.4            0.09   \n",
       " 25                1.4                1.4            0.09   \n",
       " 26                1.4                1.4            0.09   \n",
       " 27                1.4                1.4            0.09   \n",
       " 28                1.4                1.4            0.09   \n",
       " 29                1.4                1.4            0.09   \n",
       " 30                1.4                1.4            0.09   \n",
       " 31                1.4                1.4            0.09   \n",
       " 32                1.4                1.4            0.09   \n",
       " 33                1.4                1.4            0.09   \n",
       " 34                1.4                1.4            0.09   \n",
       " 35                1.4                1.4            0.09   \n",
       " 36                1.4                1.4            0.09   \n",
       " 37                1.4                1.4            0.09   \n",
       " 38                1.4                1.4            0.09   \n",
       " 39                1.4                1.4            0.09   \n",
       " 40                1.4                1.4            0.09   \n",
       " 41                1.4                1.4            0.09   \n",
       " 42                1.4                1.4            0.09   \n",
       " 43                1.4                1.4            0.09   \n",
       " 44                1.4                1.4            0.09   \n",
       " 45                1.4                1.4            0.09   \n",
       " 46                1.4                1.4            0.09   \n",
       " 47                1.4                1.4            0.09   \n",
       " 48                1.4                1.4            0.09   \n",
       " 49                1.4                1.4            0.09   \n",
       " 50                1.4                1.4            0.09   \n",
       " 51                1.4                1.4            0.09   \n",
       " 52                1.4                1.4            0.09   \n",
       " 53                1.4                1.4            0.09   \n",
       " 54                1.4                1.4            0.09   \n",
       " 55                1.4                1.4            0.09   \n",
       " \n",
       "     e_mat_Landfill_fuelfraction  e_mat_EoL_ReMFG_clean  e_mat_Recycled_LQ  \\\n",
       " 0                          78.0                   0.61                1.4   \n",
       " 1                          78.0                   0.61                1.4   \n",
       " 2                          78.0                   0.61                1.4   \n",
       " 3                          78.0                   0.61                1.4   \n",
       " 4                          78.0                   0.61                1.4   \n",
       " 5                          78.0                   0.61                1.4   \n",
       " 6                          78.0                   0.61                1.4   \n",
       " 7                          78.0                   0.61                1.4   \n",
       " 8                          78.0                   0.61                1.4   \n",
       " 9                          78.0                   0.61                1.4   \n",
       " 10                         78.0                   0.61                1.4   \n",
       " 11                         78.0                   0.61                1.4   \n",
       " 12                         78.0                   0.61                1.4   \n",
       " 13                         78.0                   0.61                1.4   \n",
       " 14                         78.0                   0.61                1.4   \n",
       " 15                         78.0                   0.61                1.4   \n",
       " 16                         78.0                   0.61                1.4   \n",
       " 17                         78.0                   0.61                1.4   \n",
       " 18                         78.0                   0.61                1.4   \n",
       " 19                         78.0                   0.61                1.4   \n",
       " 20                         78.0                   0.61                1.4   \n",
       " 21                         78.0                   0.61                1.4   \n",
       " 22                         78.0                   0.61                1.4   \n",
       " 23                         78.0                   0.61                1.4   \n",
       " 24                         78.0                   0.61                1.4   \n",
       " 25                         78.0                   0.61                1.4   \n",
       " 26                         78.0                   0.61                1.4   \n",
       " 27                         78.0                   0.61                1.4   \n",
       " 28                         78.0                   0.61                1.4   \n",
       " 29                         78.0                   0.61                1.4   \n",
       " 30                         78.0                   0.61                1.4   \n",
       " 31                         78.0                   0.61                1.4   \n",
       " 32                         78.0                   0.61                1.4   \n",
       " 33                         78.0                   0.61                1.4   \n",
       " 34                         78.0                   0.61                1.4   \n",
       " 35                         78.0                   0.61                1.4   \n",
       " 36                         78.0                   0.61                1.4   \n",
       " 37                         78.0                   0.61                1.4   \n",
       " 38                         78.0                   0.61                1.4   \n",
       " 39                         78.0                   0.61                1.4   \n",
       " 40                         78.0                   0.61                1.4   \n",
       " 41                         78.0                   0.61                1.4   \n",
       " 42                         78.0                   0.61                1.4   \n",
       " 43                         78.0                   0.61                1.4   \n",
       " 44                         78.0                   0.61                1.4   \n",
       " 45                         78.0                   0.61                1.4   \n",
       " 46                         78.0                   0.61                1.4   \n",
       " 47                         78.0                   0.61                1.4   \n",
       " 48                         78.0                   0.61                1.4   \n",
       " 49                         78.0                   0.61                1.4   \n",
       " 50                         78.0                   0.61                1.4   \n",
       " 51                         78.0                   0.61                1.4   \n",
       " 52                         78.0                   0.61                1.4   \n",
       " 53                         78.0                   0.61                1.4   \n",
       " 54                         78.0                   0.61                1.4   \n",
       " 55                         78.0                   0.61                1.4   \n",
       " \n",
       "     e_mat_Recycled_HQ  e_mat_Recycled_HQ_fuelfraction  \n",
       " 0                 1.4                            50.0  \n",
       " 1                 1.4                            50.0  \n",
       " 2                 1.4                            50.0  \n",
       " 3                 1.4                            50.0  \n",
       " 4                 1.4                            50.0  \n",
       " 5                 1.4                            50.0  \n",
       " 6                 1.4                            50.0  \n",
       " 7                 1.4                            50.0  \n",
       " 8                 1.4                            50.0  \n",
       " 9                 1.4                            50.0  \n",
       " 10                1.4                            50.0  \n",
       " 11                1.4                            50.0  \n",
       " 12                1.4                            50.0  \n",
       " 13                1.4                            50.0  \n",
       " 14                1.4                            50.0  \n",
       " 15                1.4                            50.0  \n",
       " 16                1.4                            50.0  \n",
       " 17                1.4                            50.0  \n",
       " 18                1.4                            50.0  \n",
       " 19                1.4                            50.0  \n",
       " 20                1.4                            50.0  \n",
       " 21                1.4                            50.0  \n",
       " 22                1.4                            50.0  \n",
       " 23                1.4                            50.0  \n",
       " 24                1.4                            50.0  \n",
       " 25                1.4                            50.0  \n",
       " 26                1.4                            50.0  \n",
       " 27                1.4                            50.0  \n",
       " 28                1.4                            50.0  \n",
       " 29                1.4                            50.0  \n",
       " 30                1.4                            50.0  \n",
       " 31                1.4                            50.0  \n",
       " 32                1.4                            50.0  \n",
       " 33                1.4                            50.0  \n",
       " 34                1.4                            50.0  \n",
       " 35                1.4                            50.0  \n",
       " 36                1.4                            50.0  \n",
       " 37                1.4                            50.0  \n",
       " 38                1.4                            50.0  \n",
       " 39                1.4                            50.0  \n",
       " 40                1.4                            50.0  \n",
       " 41                1.4                            50.0  \n",
       " 42                1.4                            50.0  \n",
       " 43                1.4                            50.0  \n",
       " 44                1.4                            50.0  \n",
       " 45                1.4                            50.0  \n",
       " 46                1.4                            50.0  \n",
       " 47                1.4                            50.0  \n",
       " 48                1.4                            50.0  \n",
       " 49                1.4                            50.0  \n",
       " 50                1.4                            50.0  \n",
       " 51                1.4                            50.0  \n",
       " 52                1.4                            50.0  \n",
       " 53                1.4                            50.0  \n",
       " 54                1.4                            50.0  \n",
       " 55                1.4                            50.0  }"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r1.scenario['standard'].material['glass'].__dict__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. Run the Mass Flow with Circular Pathways Calculations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ">>>> Calculating Material Flows <<<<\n",
      "\n",
      "Working on Scenario:  standard\n",
      "********************\n",
      "Finished Area+Power Generation Calculations\n",
      "==> Working on Material :  glass\n"
     ]
    }
   ],
   "source": [
    "r1.calculateMassFlow()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Area</th>\n",
       "      <th>Cumulative_Active_Area</th>\n",
       "      <th>EOL_BadStatus</th>\n",
       "      <th>EOL_Landfill0</th>\n",
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       "      <th>Yearly_Sum_Area_atEOL</th>\n",
       "      <th>Yearly_Sum_Power_EOLby_Degradation</th>\n",
       "      <th>Yearly_Sum_Power_EOLby_Failure</th>\n",
       "      <th>Yearly_Sum_Power_EOLby_ProjectLifetime</th>\n",
       "      <th>Yearly_Sum_Power_PathsBad</th>\n",
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       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>76123.359583</td>\n",
       "      <td>176123.024755</td>\n",
       "      <td>0.050224</td>\n",
       "      <td>0.284603</td>\n",
       "      <td>0.050224</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.207388e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.334827</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.334827</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41.539519</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41.539519</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41.539519</td>\n",
       "      <td>1000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>90232.919255</td>\n",
       "      <td>266348.882165</td>\n",
       "      <td>1.059277</td>\n",
       "      <td>6.002568</td>\n",
       "      <td>1.059277</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.352945e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>7.061845</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.061845</td>\n",
       "      <td>0.0</td>\n",
       "      <td>870.282407</td>\n",
       "      <td>0.0</td>\n",
       "      <td>870.282407</td>\n",
       "      <td>0.0</td>\n",
       "      <td>870.282407</td>\n",
       "      <td>1000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>90206.738132</td>\n",
       "      <td>356514.809212</td>\n",
       "      <td>6.121663</td>\n",
       "      <td>34.689422</td>\n",
       "      <td>6.121663</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.505398e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>40.811084</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.811084</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5002.460079</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5002.460079</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5002.460079</td>\n",
       "      <td>1000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>127527.693882</td>\n",
       "      <td>483905.879546</td>\n",
       "      <td>20.493532</td>\n",
       "      <td>116.130016</td>\n",
       "      <td>20.493532</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.158409e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>136.623548</td>\n",
       "      <td>0.0</td>\n",
       "      <td>136.623548</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16649.483925</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16649.483925</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16649.483925</td>\n",
       "      <td>1000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 45 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Area  Cumulative_Active_Area  EOL_BadStatus  EOL_Landfill0  \\\n",
       "0  100000.000000           100000.000000       0.000000       0.000000   \n",
       "1   76123.359583           176123.024755       0.050224       0.284603   \n",
       "2   90232.919255           266348.882165       1.059277       6.002568   \n",
       "3   90206.738132           356514.809212       6.121663      34.689422   \n",
       "4  127527.693882           483905.879546      20.493532     116.130016   \n",
       "\n",
       "   EOL_PATHS  EOL_PG  Effective_Capacity_[W]  Landfill_0_ProjLife  \\\n",
       "0   0.000000     0.0            1.250000e+07                  0.0   \n",
       "1   0.050224     0.0            2.207388e+07                  0.0   \n",
       "2   1.059277     0.0            3.352945e+07                  0.0   \n",
       "3   6.121663     0.0            4.505398e+07                  0.0   \n",
       "4  20.493532     0.0            6.158409e+07                  0.0   \n",
       "\n",
       "   MerchantTail_Area  MerchantTail_[W]  ...  Yearly_Sum_Area_PathsBad  \\\n",
       "0                0.0               0.0  ...                  0.000000   \n",
       "1                0.0               0.0  ...                  0.334827   \n",
       "2                0.0               0.0  ...                  7.061845   \n",
       "3                0.0               0.0  ...                 40.811084   \n",
       "4                0.0               0.0  ...                136.623548   \n",
       "\n",
       "   Yearly_Sum_Area_PathsGood  Yearly_Sum_Area_atEOL  \\\n",
       "0                        0.0               0.000000   \n",
       "1                        0.0               0.334827   \n",
       "2                        0.0               7.061845   \n",
       "3                        0.0              40.811084   \n",
       "4                        0.0             136.623548   \n",
       "\n",
       "   Yearly_Sum_Power_EOLby_Degradation  Yearly_Sum_Power_EOLby_Failure  \\\n",
       "0                                 0.0                        0.000000   \n",
       "1                                 0.0                       41.539519   \n",
       "2                                 0.0                      870.282407   \n",
       "3                                 0.0                     5002.460079   \n",
       "4                                 0.0                    16649.483925   \n",
       "\n",
       "   Yearly_Sum_Power_EOLby_ProjectLifetime  Yearly_Sum_Power_PathsBad  \\\n",
       "0                                     0.0                   0.000000   \n",
       "1                                     0.0                  41.539519   \n",
       "2                                     0.0                 870.282407   \n",
       "3                                     0.0                5002.460079   \n",
       "4                                     0.0               16649.483925   \n",
       "\n",
       "   Yearly_Sum_Power_PathsGood  Yearly_Sum_Power_atEOL  irradiance_stc  \n",
       "0                         0.0                0.000000          1000.0  \n",
       "1                         0.0               41.539519          1000.0  \n",
       "2                         0.0              870.282407          1000.0  \n",
       "3                         0.0             5002.460079          1000.0  \n",
       "4                         0.0            16649.483925          1000.0  \n",
       "\n",
       "[5 rows x 45 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r1.scenario['standard'].dataOut_m.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "USyearly, UScum = r1.aggregateResults()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ":) Saved Input and Output Dataframes\n"
     ]
    }
   ],
   "source": [
    "r1.saveSimulation()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  6. Plot Mass Flow Results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PV_ICE can also plot the massflow simulation results so you can visualize and interpret the results of your simulation. To see the plotting options, run the plotting method with no inputs:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From this list, select the one that fits your study and select the type of plotting method. There are various plotting options:\n",
    "* `plotScenariosComparison`:\n",
    "* `plotMaterialComparisonAcrossScenarios`:\n",
    "* `plotMetricResults`: You can select the following keyword options: 'VirginStock', 'WasteALL', 'WasteEOL', 'WasteMFG'\n",
    "* `plotMaterialResults`:\n",
    "* `plotInstalledCapacityResults`:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "r1.plotMaterialComparisonAcrossScenarios(material='glass', keyword='mat_EOL_Recycled_2_HQ')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also view all the keywords you can use by calling the function without argumnets:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Please pass a keyword:\n",
      "\n",
      " ** Scenario Data In Mass  ['year', 'new_Installed_Capacity_[MW]', 'mod_eff', 'mod_reliability_t50', 'mod_reliability_t90', 'mod_degradation', 'mod_lifetime', 'mod_MFG_eff', 'mod_Repair', 'mod_MerchantTail', 'mod_EOL_collection_eff', 'mod_EOL_pg0_resell', 'mod_EOL_pg1_landfill', 'mod_EOL_pg2_stored', 'mod_EOL_pg3_reMFG', 'mod_EOL_pg4_recycled', 'mod_EOL_reMFG_yield', 'mod_EOL_sp_reMFG_recycle', 'mod_EOL_pb1_landfill', 'mod_EOL_pb2_stored', 'mod_EOL_pb3_reMFG', 'mod_EOL_pb4_recycled']\n",
      "\n",
      " ** Scenario Data Out Mass  ['Area', 'Cumulative_Active_Area', 'EOL_BadStatus', 'EOL_Landfill0', 'EOL_PATHS', 'EOL_PG', 'Effective_Capacity_[W]', 'Landfill_0_ProjLife', 'MerchantTail_Area', 'MerchantTail_[W]', 'ModuleTotal_MFG', 'P2_stored', 'P3_reMFG', 'P4_recycled', 'PB1_landfill', 'PB2_stored', 'PB3_reMFG', 'PB3_reMFG_unyield', 'PB3_reMFG_yield', 'PB4_recycled', 'PG1_landfill', 'PG2_stored', 'PG3_reMFG', 'PG3_reMFG_unyield', 'PG3_reMFG_yield', 'PG4_recycled', 'Power_Degraded_[W]', 'Repaired_Area', 'Repaired_[W]', 'Resold_Area', 'Resold_[W]', 'WeibullParams', 'Yearly_Sum_Area_EOLby_Degradation', 'Yearly_Sum_Area_EOLby_Failure', 'Yearly_Sum_Area_EOLby_ProjectLifetime', 'Yearly_Sum_Area_PathsBad', 'Yearly_Sum_Area_PathsGood', 'Yearly_Sum_Area_atEOL', 'Yearly_Sum_Power_EOLby_Degradation', 'Yearly_Sum_Power_EOLby_Failure', 'Yearly_Sum_Power_EOLby_ProjectLifetime', 'Yearly_Sum_Power_PathsBad', 'Yearly_Sum_Power_PathsGood', 'Yearly_Sum_Power_atEOL', 'irradiance_stc']\n"
     ]
    }
   ],
   "source": [
    "r1.plotScenariosComparison()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or you can print the dataframe keys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['year',\n",
       " 'new_Installed_Capacity_[MW]',\n",
       " 'mod_eff',\n",
       " 'mod_reliability_t50',\n",
       " 'mod_reliability_t90',\n",
       " 'mod_degradation',\n",
       " 'mod_lifetime',\n",
       " 'mod_MFG_eff',\n",
       " 'mod_Repair',\n",
       " 'mod_MerchantTail',\n",
       " 'mod_EOL_collection_eff',\n",
       " 'mod_EOL_pg0_resell',\n",
       " 'mod_EOL_pg1_landfill',\n",
       " 'mod_EOL_pg2_stored',\n",
       " 'mod_EOL_pg3_reMFG',\n",
       " 'mod_EOL_pg4_recycled',\n",
       " 'mod_EOL_reMFG_yield',\n",
       " 'mod_EOL_sp_reMFG_recycle',\n",
       " 'mod_EOL_pb1_landfill',\n",
       " 'mod_EOL_pb2_stored',\n",
       " 'mod_EOL_pb3_reMFG',\n",
       " 'mod_EOL_pb4_recycled']"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(r1.scenario[list(r1.scenario.keys())[0]].dataIn_m.keys())"
   ]
  }
 ],
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