Merge pull request #44 from jbae11/fc_metrics_analysis

Fc metrics analysis

.gitignore

@@ -8,4 +8,5 @@ __pycache__
 \#*#
 .#*
 .coverage
-*.swp
+*.swp
+*.sqlite

2017-bae-europe/eu_future/eu_future.ipynb

@@ -0,0 +1,225 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Declare Common Variables\n",
+    "script_folder = '../../scripts/'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Import Necessary Module and Set Path "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import sqlite3 as lite\n",
+    "import os\n",
+    "import sys\n",
+    "sys.path.insert(0, script_folder)\n",
+    "jupyter_directory = os.getcwd()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import analysis as an"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Run Cyclus Input file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "! rm eu_future.sqlite\n",
+    "! cyclus -i eu_future.xml -o eu_future.sqlite"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### The output file should be named \n",
+    "         \n",
+    "      eu_future.sqlite"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Wait for the complete message to move on\n",
+    "\n",
+    "con = lite.connect('eu_future.sqlite')\n",
+    "with con:\n",
+    "    cur = con.cursor()\n",
+    "    \n",
+    "    # get simulation time info\n",
+    "    init_year, init_month, duration, timestep = an.get_sim_time_duration(cur)\n",
+    "    \n",
+    "    # prints net capacity and number of reactor timeseries\n",
+    "    an.plot_power(cur)\n",
+    "    \n",
+    "    # natural uranium demand\n",
+    "    dictionary = collections.OrderedDict()\n",
+    "    dictionary['natural_uranium'] = an.nat_u_timeseries(cur)\n",
+    "    an.stacked_bar_chart(dictionary, timestep,\n",
+    "                         'Years', 'Natural Uranium Mass',\n",
+    "                         'Natural Uranium Demand vs Time',\n",
+    "                         'nat_u', init_year)\n",
+    "    \n",
+    "    # get spent fuel timeseries\n",
+    "    snf_dict = an.commodity_in_out_facility(cur, 'Reactor', \n",
+    "                                            ['uox_waste', 'mox_waste'],\n",
+    "                                            True, False, False)\n",
+    "    an.stacked_bar_chart(snf_dict, timestep,\n",
+    "                         'Years', 'Mass [MTHM]',\n",
+    "                         'Spent Fuel Mass vs Time',\n",
+    "                         'snf', init_year)\n",
+    "    \n",
+    "    # get fuel usage timeseries in stacked bar chart\n",
+    "    fuel_dict = an.fuel_usage_timeseries(cur, ['uox', 'mox'])\n",
+    "    an.stacked_bar_chart(fuel_dict, timestep,\n",
+    "                      'Years', 'Mass[MTHM]',\n",
+    "                      'Total Fuel Mass vs Time',\n",
+    "                      'total_fuel',\n",
+    "                      init_year)\n",
+    "    \n",
+    "    # get tailings timeseries\n",
+    "    tails_dict = an.commodity_in_out_facility(cur, 'enrichment',\n",
+    "                                              ['tailings'], \n",
+    "                                              True, False, False)\n",
+    "    an.multi_line_plot(tails_dict, timestep, \n",
+    "                       'Years', 'Mass [MTHM]', \n",
+    "                       'Tailings Mass vs Time',\n",
+    "                       'tailings', init_year)\n",
+    "\n",
+    "print('Finished!')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Display Net Capacity vs Time\n",
+    "from IPython.display import Image\n",
+    "Image(filename='power_plot.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Display Number of Reactors vs Time\n",
+    "from IPython.display import Image\n",
+    "Image(filename='number_plot.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Display natural U demand  vs Time\n",
+    "from IPython.display import Image\n",
+    "Image(filename='nat_u.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Display spent fuel vs Time\n",
+    "from IPython.display import Image\n",
+    "Image(filename='snf.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Display total fuel usage  vs Time\n",
+    "from IPython.display import Image\n",
+    "Image(filename='total_fuel.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Display tailings  vs Time\n",
+    "from IPython.display import Image\n",
+    "Image(filename='tailings.png')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}