{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cavern storage capacity for variable heights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "import cartopy.crs as ccrs\n",
    "import contextily as cx\n",
    "import geopandas as gpd\n",
    "import matplotlib.patches as mpatches\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from cartopy.mpl.ticker import LatitudeFormatter, LongitudeFormatter\n",
    "from matplotlib.lines import Line2D\n",
    "from matplotlib_scalebar.scalebar import ScaleBar\n",
    "\n",
    "from h2ss import capacity as cap\n",
    "from h2ss import compare\n",
    "from h2ss import data as rd\n",
    "from h2ss import functions as fns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# basemap cache directory\n",
    "cx.set_cache_dir(os.path.join(\"data\", \"basemaps\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Halite data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds, extent = rd.kish_basin_data_depth_adjusted(\n",
    "    dat_path=os.path.join(\"data\", \"kish-basin\"),\n",
    "    bathymetry_path=os.path.join(\"data\", \"bathymetry\"),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "xmin, ymin, xmax, ymax = extent.total_bounds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Constraints"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# exploration wells\n",
    "_, wells_b = fns.constraint_exploration_well(\n",
    "    data_path=os.path.join(\n",
    "        \"data\",\n",
    "        \"exploration-wells\",\n",
    "        \"Exploration_Wells_Irish_Offshore.shapezip.zip\",\n",
    "    )\n",
    ")\n",
    "\n",
    "# wind farms\n",
    "wind_farms = fns.constraint_wind_farm(\n",
    "    data_path=os.path.join(\n",
    "        \"data\", \"wind-farms\", \"marine-area-consent-wind.zip\"\n",
    "    )\n",
    ")\n",
    "\n",
    "# frequent shipping routes\n",
    "_, shipping_b = fns.constraint_shipping_routes(\n",
    "    data_path=os.path.join(\n",
    "        \"data\", \"shipping\", \"shipping_frequently_used_routes.zip\"\n",
    "    ),\n",
    "    dat_extent=extent,\n",
    ")\n",
    "\n",
    "# shipwrecks\n",
    "_, shipwrecks_b = fns.constraint_shipwrecks(\n",
    "    data_path=os.path.join(\n",
    "        \"data\", \"shipwrecks\", \"IE_GSI_MI_Shipwrecks_IE_Waters_WGS84_LAT.zip\"\n",
    "    ),\n",
    "    dat_extent=extent,\n",
    ")\n",
    "\n",
    "# subsea cables\n",
    "_, cables_b = fns.constraint_subsea_cables(\n",
    "    data_path=os.path.join(\"data\", \"subsea-cables\", \"KIS-ORCA.gpkg\"),\n",
    "    dat_extent=extent,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# distance from salt formation edge\n",
    "edge_buffer = fns.constraint_halite_edge(dat_xr=ds)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Zones of interest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "zones, zds = fns.zones_of_interest(\n",
    "    dat_xr=ds,\n",
    "    constraints={\"net_height\": 85, \"min_depth\": 500, \"max_depth\": 2000},\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate caverns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "caverns = fns.generate_caverns_hexagonal_grid(\n",
    "    zones_df=zones,\n",
    "    dat_extent=extent,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "caverns = fns.cavern_dataframe(\n",
    "    dat_zone=zds,\n",
    "    cavern_df=caverns,\n",
    "    depths={\"min\": 500, \"min_opt\": 1000, \"max_opt\": 1500, \"max\": 2000},\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# label caverns by depth and heights\n",
    "caverns = fns.label_caverns(\n",
    "    cavern_df=caverns,\n",
    "    heights=[85, 155, 311],\n",
    "    depths={\"min\": 500, \"min_opt\": 1000, \"max_opt\": 1500, \"max\": 2000},\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Without constraints...\n",
      "Number of potential caverns: 979\n",
      "------------------------------------------------------------\n",
      "Excluding salt formation edges...\n",
      "Number of potential caverns: 945\n",
      "------------------------------------------------------------\n",
      "Exclude shipping...\n",
      "Number of potential caverns: 470\n",
      "Caverns excluded: 50.26%\n",
      "------------------------------------------------------------\n",
      "Exclude wind farms...\n",
      "Number of potential caverns: 397\n",
      "Caverns excluded: 57.99%\n",
      "------------------------------------------------------------\n",
      "Exclude cables...\n",
      "Number of potential caverns: 397\n",
      "Caverns excluded: 57.99%\n",
      "------------------------------------------------------------\n",
      "Exclude wells...\n",
      "Number of potential caverns: 397\n",
      "Caverns excluded: 57.99%\n",
      "------------------------------------------------------------\n",
      "Exclude shipwrecks...\n",
      "Number of potential caverns: 397\n",
      "Caverns excluded: 57.99%\n",
      "------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "caverns, _ = fns.generate_caverns_with_constraints(\n",
    "    cavern_df=caverns,\n",
    "    exclusions={\n",
    "        \"wells\": wells_b,\n",
    "        \"wind_farms\": wind_farms,\n",
    "        \"shipwrecks\": shipwrecks_b,\n",
    "        \"shipping\": shipping_b,\n",
    "        \"cables\": cables_b,\n",
    "        \"edge\": edge_buffer,\n",
    "    },\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Distance to nearest pipeline from caverns: 13.64–38.85 km (mean: 20.12 km)\n"
     ]
    }
   ],
   "source": [
    "compare.distance_from_pipeline(\n",
    "    caverns, os.path.join(\"data\", \"pipelines\", \"pipelines.zip\")\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Capacity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cavern volume"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "caverns[\"cavern_total_volume\"] = cap.cavern_volume(\n",
    "    height=caverns[\"cavern_height\"]\n",
    ")\n",
    "caverns[\"cavern_volume\"] = cap.corrected_cavern_volume(\n",
    "    v_cavern=caverns[\"cavern_total_volume\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mid-point temperature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "caverns[\"t_mid_point\"] = cap.temperature_cavern_mid_point(\n",
    "    height=caverns[\"cavern_height\"], depth_top=caverns[\"cavern_depth\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Operating pressure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "(\n",
    "    caverns[\"p_operating_min\"],\n",
    "    caverns[\"p_operating_max\"],\n",
    ") = cap.pressure_operating(\n",
    "    thickness_overburden=caverns[\"TopDepthSeabed\"],\n",
    "    depth_water=-caverns[\"Bathymetry\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hydrogen gas density"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "caverns[\"rho_min\"], caverns[\"rho_max\"] = cap.density_hydrogen_gas(\n",
    "    p_operating_min=caverns[\"p_operating_min\"],\n",
    "    p_operating_max=caverns[\"p_operating_max\"],\n",
    "    t_mid_point=caverns[\"t_mid_point\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Working mass of hydrogen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "(\n",
    "    caverns[\"working_mass\"],\n",
    "    caverns[\"mass_operating_min\"],\n",
    "    caverns[\"mass_operating_max\"],\n",
    ") = cap.mass_hydrogen_working(\n",
    "    rho_h2_min=caverns[\"rho_min\"],\n",
    "    rho_h2_max=caverns[\"rho_max\"],\n",
    "    v_cavern=caverns[\"cavern_volume\"],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Energy storage capacity in GWh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "caverns[\"capacity\"] = cap.energy_storage_capacity(\n",
    "    m_working=caverns[\"working_mass\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# proportion of working gas to total gas\n",
    "caverns[\"working_mass_pct\"] = caverns[\"working_mass\"] / (\n",
    "    caverns[\"working_mass\"] + caverns[\"mass_operating_min\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Thickness</th>\n",
       "      <th>TopDepthSeabed</th>\n",
       "      <th>Bathymetry</th>\n",
       "      <th>NetToGross</th>\n",
       "      <th>ThicknessNet</th>\n",
       "      <th>cavern_height</th>\n",
       "      <th>cavern_depth</th>\n",
       "      <th>cavern_total_volume</th>\n",
       "      <th>cavern_volume</th>\n",
       "      <th>t_mid_point</th>\n",
       "      <th>p_operating_min</th>\n",
       "      <th>p_operating_max</th>\n",
       "      <th>rho_min</th>\n",
       "      <th>rho_max</th>\n",
       "      <th>working_mass</th>\n",
       "      <th>mass_operating_min</th>\n",
       "      <th>mass_operating_max</th>\n",
       "      <th>capacity</th>\n",
       "      <th>working_mass_pct</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>397.000000</td>\n",
       "      <td>397.000000</td>\n",
       "      <td>397.000000</td>\n",
       "      <td>397.000000</td>\n",
       "      <td>397.000000</td>\n",
       "      <td>397.000000</td>\n",
       "      <td>397.000000</td>\n",
       "      <td>3.970000e+02</td>\n",
       "      <td>3.970000e+02</td>\n",
       "      <td>397.000000</td>\n",
       "      <td>3.970000e+02</td>\n",
       "      <td>3.970000e+02</td>\n",
       "      <td>397.000000</td>\n",
       "      <td>397.000000</td>\n",
       "      <td>3.970000e+02</td>\n",
       "      <td>3.970000e+02</td>\n",
       "      <td>3.970000e+02</td>\n",
       "      <td>397.000000</td>\n",
       "      <td>397.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>392.930219</td>\n",
       "      <td>1053.426092</td>\n",
       "      <td>-48.053324</td>\n",
       "      <td>0.621216</td>\n",
       "      <td>247.266901</td>\n",
       "      <td>119.010076</td>\n",
       "      <td>1133.426092</td>\n",
       "      <td>5.582864e+05</td>\n",
       "      <td>3.908005e+05</td>\n",
       "      <td>327.884917</td>\n",
       "      <td>7.909528e+06</td>\n",
       "      <td>2.109208e+07</td>\n",
       "      <td>5.510773</td>\n",
       "      <td>13.635721</td>\n",
       "      <td>3.229138e+06</td>\n",
       "      <td>2.192091e+06</td>\n",
       "      <td>5.421229e+06</td>\n",
       "      <td>107.602049</td>\n",
       "      <td>0.598015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>69.206387</td>\n",
       "      <td>380.768364</td>\n",
       "      <td>13.463288</td>\n",
       "      <td>0.049267</td>\n",
       "      <td>66.464138</td>\n",
       "      <td>52.350990</td>\n",
       "      <td>380.768364</td>\n",
       "      <td>2.970658e+05</td>\n",
       "      <td>2.079460e+05</td>\n",
       "      <td>14.418667</td>\n",
       "      <td>2.689247e+06</td>\n",
       "      <td>7.171324e+06</td>\n",
       "      <td>1.570477</td>\n",
       "      <td>3.623729</td>\n",
       "      <td>1.929922e+06</td>\n",
       "      <td>1.334774e+06</td>\n",
       "      <td>3.263707e+06</td>\n",
       "      <td>64.309305</td>\n",
       "      <td>0.008141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>316.764900</td>\n",
       "      <td>421.304826</td>\n",
       "      <td>-76.084564</td>\n",
       "      <td>0.554740</td>\n",
       "      <td>175.722230</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>501.304826</td>\n",
       "      <td>3.652962e+05</td>\n",
       "      <td>2.557073e+05</td>\n",
       "      <td>303.542681</td>\n",
       "      <td>3.425755e+06</td>\n",
       "      <td>9.135347e+06</td>\n",
       "      <td>2.682620</td>\n",
       "      <td>6.922279</td>\n",
       "      <td>1.084112e+06</td>\n",
       "      <td>6.859656e+05</td>\n",
       "      <td>1.770077e+06</td>\n",
       "      <td>36.125011</td>\n",
       "      <td>0.581349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>347.147300</td>\n",
       "      <td>735.352513</td>\n",
       "      <td>-60.478745</td>\n",
       "      <td>0.582849</td>\n",
       "      <td>202.334555</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>815.352513</td>\n",
       "      <td>3.652962e+05</td>\n",
       "      <td>2.557073e+05</td>\n",
       "      <td>315.545404</td>\n",
       "      <td>5.637987e+06</td>\n",
       "      <td>1.503463e+07</td>\n",
       "      <td>4.199732</td>\n",
       "      <td>10.628343</td>\n",
       "      <td>1.750725e+06</td>\n",
       "      <td>1.151149e+06</td>\n",
       "      <td>2.901874e+06</td>\n",
       "      <td>58.338062</td>\n",
       "      <td>0.592018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>375.486600</td>\n",
       "      <td>1030.925564</td>\n",
       "      <td>-43.757942</td>\n",
       "      <td>0.609068</td>\n",
       "      <td>228.696918</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>1110.925564</td>\n",
       "      <td>3.652962e+05</td>\n",
       "      <td>2.557073e+05</td>\n",
       "      <td>327.077021</td>\n",
       "      <td>7.787613e+06</td>\n",
       "      <td>2.076697e+07</td>\n",
       "      <td>5.500506</td>\n",
       "      <td>13.687629</td>\n",
       "      <td>2.445582e+06</td>\n",
       "      <td>1.678632e+06</td>\n",
       "      <td>4.123323e+06</td>\n",
       "      <td>81.492214</td>\n",
       "      <td>0.598092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>417.528300</td>\n",
       "      <td>1320.705498</td>\n",
       "      <td>-41.484966</td>\n",
       "      <td>0.647964</td>\n",
       "      <td>270.543345</td>\n",
       "      <td>155.000000</td>\n",
       "      <td>1400.705498</td>\n",
       "      <td>7.625113e+05</td>\n",
       "      <td>5.337579e+05</td>\n",
       "      <td>338.127504</td>\n",
       "      <td>9.816541e+06</td>\n",
       "      <td>2.617744e+07</td>\n",
       "      <td>6.667109</td>\n",
       "      <td>16.341690</td>\n",
       "      <td>4.542525e+06</td>\n",
       "      <td>3.068601e+06</td>\n",
       "      <td>7.611126e+06</td>\n",
       "      <td>151.367032</td>\n",
       "      <td>0.604855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>822.710300</td>\n",
       "      <td>1900.680682</td>\n",
       "      <td>-18.320551</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>617.032725</td>\n",
       "      <td>311.000000</td>\n",
       "      <td>1980.680682</td>\n",
       "      <td>1.647734e+06</td>\n",
       "      <td>1.153413e+06</td>\n",
       "      <td>359.019276</td>\n",
       "      <td>1.382934e+07</td>\n",
       "      <td>3.687824e+07</td>\n",
       "      <td>8.706567</td>\n",
       "      <td>20.796696</td>\n",
       "      <td>1.138274e+07</td>\n",
       "      <td>7.872472e+06</td>\n",
       "      <td>1.925521e+07</td>\n",
       "      <td>379.298161</td>\n",
       "      <td>0.612466</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Thickness  TopDepthSeabed  Bathymetry  NetToGross  ThicknessNet  \\\n",
       "count  397.000000      397.000000  397.000000  397.000000    397.000000   \n",
       "mean   392.930219     1053.426092  -48.053324    0.621216    247.266901   \n",
       "std     69.206387      380.768364   13.463288    0.049267     66.464138   \n",
       "min    316.764900      421.304826  -76.084564    0.554740    175.722230   \n",
       "25%    347.147300      735.352513  -60.478745    0.582849    202.334555   \n",
       "50%    375.486600     1030.925564  -43.757942    0.609068    228.696918   \n",
       "75%    417.528300     1320.705498  -41.484966    0.647964    270.543345   \n",
       "max    822.710300     1900.680682  -18.320551    0.750000    617.032725   \n",
       "\n",
       "       cavern_height  cavern_depth  cavern_total_volume  cavern_volume  \\\n",
       "count     397.000000    397.000000         3.970000e+02   3.970000e+02   \n",
       "mean      119.010076   1133.426092         5.582864e+05   3.908005e+05   \n",
       "std        52.350990    380.768364         2.970658e+05   2.079460e+05   \n",
       "min        85.000000    501.304826         3.652962e+05   2.557073e+05   \n",
       "25%        85.000000    815.352513         3.652962e+05   2.557073e+05   \n",
       "50%        85.000000   1110.925564         3.652962e+05   2.557073e+05   \n",
       "75%       155.000000   1400.705498         7.625113e+05   5.337579e+05   \n",
       "max       311.000000   1980.680682         1.647734e+06   1.153413e+06   \n",
       "\n",
       "       t_mid_point  p_operating_min  p_operating_max     rho_min     rho_max  \\\n",
       "count   397.000000     3.970000e+02     3.970000e+02  397.000000  397.000000   \n",
       "mean    327.884917     7.909528e+06     2.109208e+07    5.510773   13.635721   \n",
       "std      14.418667     2.689247e+06     7.171324e+06    1.570477    3.623729   \n",
       "min     303.542681     3.425755e+06     9.135347e+06    2.682620    6.922279   \n",
       "25%     315.545404     5.637987e+06     1.503463e+07    4.199732   10.628343   \n",
       "50%     327.077021     7.787613e+06     2.076697e+07    5.500506   13.687629   \n",
       "75%     338.127504     9.816541e+06     2.617744e+07    6.667109   16.341690   \n",
       "max     359.019276     1.382934e+07     3.687824e+07    8.706567   20.796696   \n",
       "\n",
       "       working_mass  mass_operating_min  mass_operating_max    capacity  \\\n",
       "count  3.970000e+02        3.970000e+02        3.970000e+02  397.000000   \n",
       "mean   3.229138e+06        2.192091e+06        5.421229e+06  107.602049   \n",
       "std    1.929922e+06        1.334774e+06        3.263707e+06   64.309305   \n",
       "min    1.084112e+06        6.859656e+05        1.770077e+06   36.125011   \n",
       "25%    1.750725e+06        1.151149e+06        2.901874e+06   58.338062   \n",
       "50%    2.445582e+06        1.678632e+06        4.123323e+06   81.492214   \n",
       "75%    4.542525e+06        3.068601e+06        7.611126e+06  151.367032   \n",
       "max    1.138274e+07        7.872472e+06        1.925521e+07  379.298161   \n",
       "\n",
       "       working_mass_pct  \n",
       "count        397.000000  \n",
       "mean           0.598015  \n",
       "std            0.008141  \n",
       "min            0.581349  \n",
       "25%            0.592018  \n",
       "50%            0.598092  \n",
       "75%            0.604855  \n",
       "max            0.612466  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "caverns.drop(\n",
    "    columns=[\n",
    "        \"x\",\n",
    "        \"y\",\n",
    "        \"BaseDepth\",\n",
    "        \"TopDepth\",\n",
    "        \"TopTWT\",\n",
    "        \"BaseDepthSeabed\",\n",
    "    ]\n",
    ").describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cavern_volume         1.551478e+08\n",
       "working_mass          1.281968e+09\n",
       "capacity              4.271801e+04\n",
       "mass_operating_min    8.702602e+08\n",
       "mass_operating_max    2.152228e+09\n",
       "dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# totals\n",
    "caverns[\n",
    "    [\n",
    "        \"cavern_volume\",\n",
    "        \"working_mass\",\n",
    "        \"capacity\",\n",
    "        \"mass_operating_min\",\n",
    "        \"mass_operating_max\",\n",
    "    ]\n",
    "].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Energy capacity as a percentage of Ireland's electricity demand\n",
      "in 2050 (84–122 TWh electricity), assuming a conversion efficiency\n",
      "of 50%: 17.51–25.43%\n",
      "Energy capacity as a percentage of Ireland's hydrogen demand\n",
      "in 2050, assuming it is 17% of the electricity demand\n",
      "(84–122 TWh electricity): 205.97–299.15%\n"
     ]
    }
   ],
   "source": [
    "# compare with Ireland's electricity demand in 2050 (Deane, 2021)\n",
    "compare.electricity_demand_ie(data=caverns[\"capacity\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Energy capacity as a percentage of Ireland's domestic hydrogen\n",
      "demand in 2050 (4.6–39 TWh hydrogen): 109.53–928.65%\n",
      "Energy capacity as a percentage of Ireland's domestic and\n",
      "non-domestic hydrogen demand in 2050 (19.8–74.6 TWh hydrogen): 57.26–215.75%\n"
     ]
    }
   ],
   "source": [
    "# compare with Ireland's hydrogen demand in 2050\n",
    "compare.hydrogen_demand_ie(data=caverns[\"capacity\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>capacity</th>\n",
       "      <th>%</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>depth</th>\n",
       "      <th>cavern_height</th>\n",
       "      <th>halite</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">1,000 - 1,500</th>\n",
       "      <th>311.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>3613.977881</td>\n",
       "      <td>8.460079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>12006.087146</td>\n",
       "      <td>28.105444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>6218.033824</td>\n",
       "      <td>14.556000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">500 - 1,000</th>\n",
       "      <th>311.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>1580.239728</td>\n",
       "      <td>3.699235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>2408.323030</td>\n",
       "      <td>5.637722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>155.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>5229.407317</td>\n",
       "      <td>12.241691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500 - 1,000</th>\n",
       "      <th>85.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>2572.953053</td>\n",
       "      <td>6.023110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>85.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>1839.994778</td>\n",
       "      <td>4.307304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1,000 - 1,500</th>\n",
       "      <th>155.0</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>138.531699</td>\n",
       "      <td>0.324293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85.0</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>70.172538</td>\n",
       "      <td>0.164269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">500 - 1,000</th>\n",
       "      <th>155.0</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>908.967039</td>\n",
       "      <td>2.127831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85.0</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>1417.392302</td>\n",
       "      <td>3.318020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>85.0</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>1375.233638</td>\n",
       "      <td>3.219330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1,000 - 1,500</th>\n",
       "      <th>155.0</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>481.957684</td>\n",
       "      <td>1.128231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85.0</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>733.310380</td>\n",
       "      <td>1.716630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>155.0</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>201.300795</td>\n",
       "      <td>0.471232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">500 - 1,000</th>\n",
       "      <th>155.0</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>107.786410</td>\n",
       "      <td>0.252321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85.0</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>1419.559349</td>\n",
       "      <td>3.323093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>85.0</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>394.784768</td>\n",
       "      <td>0.924165</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          capacity          %\n",
       "depth         cavern_height halite                           \n",
       "1,000 - 1,500 311.0         Rossall    3613.977881   8.460079\n",
       "              155.0         Rossall   12006.087146  28.105444\n",
       "              85.0          Rossall    6218.033824  14.556000\n",
       "500 - 1,000   311.0         Rossall    1580.239728   3.699235\n",
       "              155.0         Rossall    2408.323030   5.637722\n",
       "1,500 - 2,000 155.0         Rossall    5229.407317  12.241691\n",
       "500 - 1,000   85.0          Rossall    2572.953053   6.023110\n",
       "1,500 - 2,000 85.0          Rossall    1839.994778   4.307304\n",
       "1,000 - 1,500 155.0         Preesall    138.531699   0.324293\n",
       "              85.0          Preesall     70.172538   0.164269\n",
       "500 - 1,000   155.0         Preesall    908.967039   2.127831\n",
       "              85.0          Preesall   1417.392302   3.318020\n",
       "1,500 - 2,000 85.0          Preesall   1375.233638   3.219330\n",
       "1,000 - 1,500 155.0         Fylde       481.957684   1.128231\n",
       "              85.0          Fylde       733.310380   1.716630\n",
       "1,500 - 2,000 155.0         Fylde       201.300795   0.471232\n",
       "500 - 1,000   155.0         Fylde       107.786410   0.252321\n",
       "              85.0          Fylde      1419.559349   3.323093\n",
       "1,500 - 2,000 85.0          Fylde       394.784768   0.924165"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# total capacity at various depth/height combinations\n",
    "s = caverns.groupby([\"depth\", \"cavern_height\", \"halite\"], sort=False)[\n",
    "    [\"capacity\"]\n",
    "].sum()\n",
    "s[\"%\"] = s[\"capacity\"] / caverns[[\"capacity\"]].sum().iloc[0] * 100\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>capacity</th>\n",
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       "    <tr>\n",
       "      <th>depth</th>\n",
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       "      <th>1,000 - 1,500</th>\n",
       "      <td>23262.071153</td>\n",
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       "      <td>9040.721295</td>\n",
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      "text/plain": [
       "                   capacity\n",
       "depth                      \n",
       "1,000 - 1,500  23262.071153\n",
       "1,500 - 2,000   9040.721295\n",
       "500 - 1,000    10415.220910"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.groupby(\"depth\").sum()[[\"capacity\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
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       "      <th>capacity</th>\n",
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       "    <tr>\n",
       "      <th>cavern_height</th>\n",
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       "      <th>85.0</th>\n",
       "      <td>16041.434630</td>\n",
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       "    <tr>\n",
       "      <th>155.0</th>\n",
       "      <td>21482.361120</td>\n",
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       "      <th>311.0</th>\n",
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      "text/plain": [
       "                   capacity\n",
       "cavern_height              \n",
       "85.0           16041.434630\n",
       "155.0          21482.361120\n",
       "311.0           5194.217609"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.groupby(\"cavern_height\").sum()[[\"capacity\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>capacity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>halite</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Fylde</th>\n",
       "      <td>3338.699386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Preesall</th>\n",
       "      <td>3910.297216</td>\n",
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       "    <tr>\n",
       "      <th>Rossall</th>\n",
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      "text/plain": [
       "              capacity\n",
       "halite                \n",
       "Fylde      3338.699386\n",
       "Preesall   3910.297216\n",
       "Rossall   35469.016757"
      ]
     },
     "execution_count": 27,
     "metadata": {},
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    }
   ],
   "source": [
    "s.groupby(\"halite\").sum()[[\"capacity\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>capacity</th>\n",
       "      <th>%</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>depth</th>\n",
       "      <th>cavern_height</th>\n",
       "      <th>halite</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">1,000 - 1,500</th>\n",
       "      <th>311.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>11</td>\n",
       "      <td>2.770781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>75</td>\n",
       "      <td>18.891688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>84</td>\n",
       "      <td>21.158690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">500 - 1,000</th>\n",
       "      <th>311.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>6</td>\n",
       "      <td>1.511335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>22</td>\n",
       "      <td>5.541562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>155.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>27</td>\n",
       "      <td>6.801008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500 - 1,000</th>\n",
       "      <th>85.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>54</td>\n",
       "      <td>13.602015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>85.0</th>\n",
       "      <th>Rossall</th>\n",
       "      <td>19</td>\n",
       "      <td>4.785894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1,000 - 1,500</th>\n",
       "      <th>155.0</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>1</td>\n",
       "      <td>0.251889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85.0</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>1</td>\n",
       "      <td>0.251889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">500 - 1,000</th>\n",
       "      <th>155.0</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>8</td>\n",
       "      <td>2.015113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85.0</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>29</td>\n",
       "      <td>7.304786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>85.0</th>\n",
       "      <th>Preesall</th>\n",
       "      <td>14</td>\n",
       "      <td>3.526448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1,000 - 1,500</th>\n",
       "      <th>155.0</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>3</td>\n",
       "      <td>0.755668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85.0</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>10</td>\n",
       "      <td>2.518892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>155.0</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>1</td>\n",
       "      <td>0.251889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">500 - 1,000</th>\n",
       "      <th>155.0</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>1</td>\n",
       "      <td>0.251889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85.0</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>27</td>\n",
       "      <td>6.801008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <th>85.0</th>\n",
       "      <th>Fylde</th>\n",
       "      <td>4</td>\n",
       "      <td>1.007557</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      capacity          %\n",
       "depth         cavern_height halite                       \n",
       "1,000 - 1,500 311.0         Rossall         11   2.770781\n",
       "              155.0         Rossall         75  18.891688\n",
       "              85.0          Rossall         84  21.158690\n",
       "500 - 1,000   311.0         Rossall          6   1.511335\n",
       "              155.0         Rossall         22   5.541562\n",
       "1,500 - 2,000 155.0         Rossall         27   6.801008\n",
       "500 - 1,000   85.0          Rossall         54  13.602015\n",
       "1,500 - 2,000 85.0          Rossall         19   4.785894\n",
       "1,000 - 1,500 155.0         Preesall         1   0.251889\n",
       "              85.0          Preesall         1   0.251889\n",
       "500 - 1,000   155.0         Preesall         8   2.015113\n",
       "              85.0          Preesall        29   7.304786\n",
       "1,500 - 2,000 85.0          Preesall        14   3.526448\n",
       "1,000 - 1,500 155.0         Fylde            3   0.755668\n",
       "              85.0          Fylde           10   2.518892\n",
       "1,500 - 2,000 155.0         Fylde            1   0.251889\n",
       "500 - 1,000   155.0         Fylde            1   0.251889\n",
       "              85.0          Fylde           27   6.801008\n",
       "1,500 - 2,000 85.0          Fylde            4   1.007557"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# number of caverns\n",
    "s = caverns.groupby([\"depth\", \"cavern_height\", \"halite\"], sort=False)[\n",
    "    [\"capacity\"]\n",
    "].count()\n",
    "s[\"%\"] = s[\"capacity\"] / len(caverns) * 100\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>capacity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>depth</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1,000 - 1,500</th>\n",
       "      <td>185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1,500 - 2,000</th>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500 - 1,000</th>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               capacity\n",
       "depth                  \n",
       "1,000 - 1,500       185\n",
       "1,500 - 2,000        65\n",
       "500 - 1,000         147"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.groupby(\"depth\").sum()[[\"capacity\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>capacity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cavern_height</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>85.0</th>\n",
       "      <td>242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155.0</th>\n",
       "      <td>138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311.0</th>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               capacity\n",
       "cavern_height          \n",
       "85.0                242\n",
       "155.0               138\n",
       "311.0                17"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.groupby(\"cavern_height\").sum()[[\"capacity\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>capacity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>halite</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Fylde</th>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Preesall</th>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rossall</th>\n",
       "      <td>298</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          capacity\n",
       "halite            \n",
       "Fylde           46\n",
       "Preesall        53\n",
       "Rossall        298"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.groupby(\"halite\").sum()[[\"capacity\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "# create exclusion buffer\n",
    "buffer = pd.concat([wells_b, shipwrecks_b, shipping_b, cables_b]).dissolve()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "def plot_map_alt(dat_xr, cavern_df, zones_gdf, top_depth=True, fontsize=11.5):\n",
    "    \"\"\"Helper function to plot caverns within the zones of interest\"\"\"\n",
    "    plt.figure(figsize=(20, 11.5))\n",
    "    axis1 = plt.axes(projection=ccrs.epsg(rd.CRS))\n",
    "    legend_handles1 = []\n",
    "    classes = sorted(list(int(x) for x in caverns[\"cavern_height\"].unique()))\n",
    "\n",
    "    # halite boundary - use buffering to smooth the outline\n",
    "    shape = rd.halite_shape(dat_xr=dat_xr).buffer(1000).buffer(-1000)\n",
    "    shape.plot(\n",
    "        ax=axis1,\n",
    "        edgecolor=\"darkslategrey\",\n",
    "        color=\"none\",\n",
    "        linewidth=2,\n",
    "        alpha=0.5,\n",
    "        zorder=2,\n",
    "    )\n",
    "    legend_handles1.append(\n",
    "        mpatches.Patch(\n",
    "            facecolor=\"none\",\n",
    "            linewidth=2,\n",
    "            edgecolor=\"darkslategrey\",\n",
    "            label=\"Kish Basin boundary\",\n",
    "            alpha=0.5,\n",
    "        )\n",
    "    )\n",
    "\n",
    "    zones_gdf.plot(\n",
    "        ax=axis1, zorder=1, linewidth=0, facecolor=\"white\", alpha=0.45\n",
    "    )\n",
    "    zones_gdf.plot(\n",
    "        ax=axis1,\n",
    "        zorder=2,\n",
    "        edgecolor=\"slategrey\",\n",
    "        linestyle=\"dotted\",\n",
    "        linewidth=1.25,\n",
    "        facecolor=\"none\",\n",
    "    )\n",
    "    legend_handles1.append(\n",
    "        mpatches.Patch(\n",
    "            facecolor=\"none\",\n",
    "            linestyle=\"dotted\",\n",
    "            edgecolor=\"slategrey\",\n",
    "            label=\"Area of interest\",\n",
    "            linewidth=1.25,\n",
    "        )\n",
    "    )\n",
    "\n",
    "    pd.concat([buffer, wind_farms]).dissolve().clip(shape).plot(\n",
    "        ax=axis1,\n",
    "        facecolor=\"none\",\n",
    "        linewidth=0.65,\n",
    "        edgecolor=\"slategrey\",\n",
    "        zorder=2,\n",
    "        alpha=0.5,\n",
    "        hatch=\"//\",\n",
    "    )\n",
    "    legend_handles1.append(\n",
    "        mpatches.Patch(\n",
    "            facecolor=\"none\",\n",
    "            hatch=\"//\",\n",
    "            edgecolor=\"slategrey\",\n",
    "            label=\"Exclusion\",\n",
    "            alpha=0.65,\n",
    "            linewidth=0.5,\n",
    "        )\n",
    "    )\n",
    "\n",
    "    legend_handles1.append(\n",
    "        mpatches.Patch(label=\"Cavern height [m]\", visible=False)\n",
    "    )\n",
    "\n",
    "    colours = [int(n * 255 / (len(classes) - 1)) for n in range(len(classes))]\n",
    "    for n, y in enumerate(colours):\n",
    "        c = cavern_df[cavern_df[\"cavern_height\"] == classes[n]]\n",
    "        label1 = f\"{classes[n]}\"\n",
    "        if top_depth:\n",
    "            for df, markersize in zip(\n",
    "                [\n",
    "                    c[c[\"depth\"] == \"500 - 1,000\"],\n",
    "                    c[c[\"depth\"] == \"1,000 - 1,500\"],\n",
    "                    c[c[\"depth\"] == \"1,500 - 2,000\"],\n",
    "                ],\n",
    "                [30, 60, 30],\n",
    "            ):\n",
    "                if len(df) > 0:\n",
    "                    df.centroid.plot(\n",
    "                        ax=axis1,\n",
    "                        zorder=3,\n",
    "                        linewidth=0,\n",
    "                        marker=\".\",\n",
    "                        markersize=markersize,\n",
    "                        color=sns.color_palette(\"flare\", 256)[y],\n",
    "                    )\n",
    "        else:\n",
    "            gpd.GeoDataFrame(cavern_df, geometry=cavern_df.centroid).plot(\n",
    "                ax=axis1,\n",
    "                scheme=\"UserDefined\",\n",
    "                classification_kwds={\"bins\": classes[1:]},\n",
    "                column=\"cavern_height\",\n",
    "                zorder=3,\n",
    "                marker=\".\",\n",
    "                cmap=\"flare\",\n",
    "                markersize=40,\n",
    "            )\n",
    "        legend_handles1.append(\n",
    "            mpatches.Patch(\n",
    "                facecolor=sns.color_palette(\"flare\", 256)[y], label=label1\n",
    "            )\n",
    "        )\n",
    "\n",
    "    if top_depth:\n",
    "        legend_handles1.append(\n",
    "            mpatches.Patch(label=\"Cavern top depth [m]\", visible=False)\n",
    "        )\n",
    "        for markersize, label1 in zip(\n",
    "            [6, 3], [\"1,000–1,500\", \"500–1,000 or \\n1,500–2,000\"]\n",
    "        ):\n",
    "            legend_handles1.append(\n",
    "                Line2D(\n",
    "                    [0],\n",
    "                    [0],\n",
    "                    marker=\".\",\n",
    "                    linewidth=0,\n",
    "                    label=label1,\n",
    "                    color=\"darkslategrey\",\n",
    "                    markersize=markersize,\n",
    "                )\n",
    "            )\n",
    "\n",
    "    plt.xlim(shape.bounds[\"minx\"][0] - 1000, shape.bounds[\"maxx\"][0] + 1000)\n",
    "    plt.ylim(shape.bounds[\"miny\"][0] - 1000, shape.bounds[\"maxy\"][0] + 1000)\n",
    "\n",
    "    basemap = cx.providers.CartoDB.VoyagerNoLabels\n",
    "    cx.add_basemap(\n",
    "        axis1, crs=rd.CRS, source=basemap, zoom=12, attribution=False\n",
    "    )\n",
    "    axis1.text(\n",
    "        shape.bounds[\"minx\"][0] - 800,\n",
    "        shape.bounds[\"miny\"][0] - 800,\n",
    "        basemap[\"attribution\"],\n",
    "        fontsize=10,\n",
    "    )\n",
    "\n",
    "    axis1.gridlines(\n",
    "        draw_labels={\"bottom\": \"x\", \"left\": \"y\"},\n",
    "        alpha=0.25,\n",
    "        color=\"darkslategrey\",\n",
    "        xlabel_style={\"fontsize\": fontsize},\n",
    "        ylabel_style={\"fontsize\": fontsize, \"rotation\": 89.9},\n",
    "        xformatter=LongitudeFormatter(auto_hide=False, dms=True),\n",
    "        yformatter=LatitudeFormatter(auto_hide=False, dms=True),\n",
    "    )\n",
    "    axis1.add_artist(\n",
    "        ScaleBar(\n",
    "            1,\n",
    "            box_alpha=0,\n",
    "            location=\"lower right\",\n",
    "            color=\"darkslategrey\",\n",
    "            width_fraction=0.0075,\n",
    "            font_properties={\"size\": fontsize},\n",
    "        )\n",
    "    )\n",
    "    plt.legend(\n",
    "        loc=\"lower right\",\n",
    "        bbox_to_anchor=(1, 0.05),\n",
    "        handles=legend_handles1,\n",
    "        fontsize=fontsize,\n",
    "    )\n",
    "\n",
    "    plt.tight_layout()\n",
    "    # plt.savefig(\n",
    "    #     os.path.join(\"graphics\", \"Figure_7.png\"),\n",
    "    #     format=\"png\",\n",
    "    #     dpi=600,\n",
    "    # )\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1920x1104 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_map_alt(ds, caverns, zones)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}