Scenario 3.ipynb

{
 "cells": [
  {
   "attachments": {
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jW/tC26Mu29tpfn7sim+7bPfLkOcXLX/YX1caX/tHyxHuey8FkO08drnuk5rUtD9CyePdS3bmU237IRttL41T3Tnkx4nvs1z+aVfTvSXUkG3k10ff37q3NOS4AgDUjd8Pk7/9Q3rm0T3b/wnnzw2NQb9J9M+j8J98dX1G8N+p4fKFz9lAQcn8UGtUdZ1k5oSLxvEm8wMyHvLJCzHDxmV+pEf9mR/vcconL07WeBKOlzkJozQJ56l0n084b/F5eOPjKd0lhztfFjWavuZTUx412abrso0fCrdVOB3xccMm2zbStlTb5+HpdeXTCccNly/cFxLm9W0c5gmHS7g+6tb8kvtOwv0aLlN1+y+X9fc8Pg3fh8n9Eq5v2Gj8xpZtXr5/JVx3NeGy+vJ7/swNL+pXW8Jxw20cztPTk9Nynq4m2/4N5xGm+7KoUbe2ubrDbRgeC57P+TBf32zjJ/myhMshPm7Y+LzCZdC6qvF5JJchV76dkuOG2yrk6X5cJvMklyOcvpbXt3Vy30m4TXyccPvUdf193j4Nn7eP47Jtc2+yLWdDhdtWTXgs+TJ6k239fR2Tx1m4rdX4PpJwnkr3+YTzlnAbq1vjaTu75DxctvM0mSe5nbNNN1xfz1edcFmSPN2b6raRb5dwWLgMNfFtqPGStG4apu0Sdodq2yfJ5fFtXNv+SOYL940an6/m6fvEt0+SL3vYeN7kemU7psLx1Pi42fImj48wv/Pjs7rlFQ1THk0v7FcTbjtPk5q2UbbtnpyHr4+P68vZEA0dHwAAIB9K9CfzQ6XRKJrdyJNEjrTthe2/h/7bn/nRHzU1lfwCnEqRqDRL5sG8XiWWipFKzem/qZmH5ZyrwqLlUmkslSAeP378Xh8+QDp5iVO/h6rkm0p13n777VWlyLOlFSt+4wIAgEJUlB/PaIm8CtnlFA8G6s2rqBHUA+rHq6DWVPUG6TE/UX3VqymHXwn0av25VMMFAABA4yOwVyT8PTLJ9wkCyI0Hx1XSCED9eHC8pnenIT1UUlfBPX+/ULJEs0poarhKxufyzkkAAAA0PqriAgAAALXgNy4AAChElNgDAAAAAAAAUojAHgAAAAAAAJBCBPYAAAAAAACAFCKwBwAAAAAAAKQQgT0AAAAAAAAghfLyVVwAAACg2PBVXAAAUGgaPbAHAAAAAAAAIP+oigsAAAAAAACkEIE9AAAAAAAAIIUI7AEAAAAAAAApRGAPAAAAAAAASCECewAAAAAAAEAKEdgDAAAAAAAAUojAHgAAAAAAAJBCBPYAAAAAAACAFCKwBwAAAAAAAKQQgT0AAAAAAAAghQjsAQAAAAAAAClEYA8AAAAAAABIIQJ7AAAAAAAAQAoR2AMAAAAAAABSiMAeAAAAAAAAkEIE9gAAAAAAAIAUIrAHAAAAAAAApBCBPQAAAAAAACCFCOwBAAAAAAAAKURgDwAAAAAAAEghAnsAAAAAAABAChHYAwAAAAAAAFKIwB4AAAAAAACQOmb/H60rkaPfGAb6AAAAAElFTkSuQmCC"
    }
   },
   "cell_type": "markdown",
   "id": "a62871be",
   "metadata": {},
   "source": [
    "### Scenario 3\n",
    "#### Construction year 'Wind park 1' = Construction year 'Wind park 2' = Construction year 'Artificial Energy Island'\n",
    "This notebook shows the basics of Scenario 3 as suggested by Wouter van den Haak:\n",
    "![image-4.png](attachment:image-4.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bb113ce",
   "metadata": {},
   "source": [
    "#### 0. Import basic methods (a.o. from source2.py)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1050,
   "id": "f9fd7be4",
   "metadata": {},
   "outputs": [],
   "source": [
    "from source2 import *\n",
    "import numpy as np\n",
    "BOLD = \"\\033[1m\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1051,
   "id": "ec38e936",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load basic info from the Input sheet\n",
    "mapping = load_input_from_xls(filename=r'Case 1 - Input Sheet.xlsm')\n",
    "Inputs = extract_scenario(mapping, 'Scenario1')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89024b92",
   "metadata": {},
   "source": [
    "##### 1. prepare input data and generate objects\n",
    "#### 1.1 General input"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1052,
   "id": "40c2ccce",
   "metadata": {},
   "outputs": [],
   "source": [
    "#General\n",
    "WACC = 0.0984\n",
    "\n",
    "#Time input\n",
    "startyear = 2030\n",
    "endyear = startyear + 29\n",
    "\n",
    "#Escalation\n",
    "escalation_base_year = 2030 \n",
    "lifecycle=30               \n",
    "escalation_rate=0.02    \n",
    "\n",
    "#Distances\n",
    "distance_windpark = 100_000 #meter (distance windpark from shore)\n",
    "distance_island_shore = 70_000 #meter\n",
    "distance_DC_collection = distance_windpark - distance_island_shore #meter\n",
    "\n",
    "#Windpark\n",
    "capacity_windpark1 = 3000 #MW\n",
    "capacity_windpark2 = 3000 #MW\n",
    "\n",
    "#Dedicated energy for electrolysis / electricity\n",
    "dedicated_electrolyser_energy = 0.3\n",
    "dedicated_DCAC_energy = (1 - dedicated_electrolyser_energy)\n",
    "\n",
    "#Efficiency factors\n",
    "inter_array_cable_efficiency = 0.99 \n",
    "DC_collection_cable_efficiency = 0.95\n",
    "HVDC_cable_efficiency = 1 - (0.01 * (0.00005 *(distance_island_shore) + 4))\n",
    "H2_pipeline_efficiency = 0.95\n",
    "DCAC_efficiency = 0.9\n",
    "\n",
    "#Electricity to hydrogen conversion\n",
    "kWh_to_kg = 50 #kWh/kg hydrogen\n",
    "\n",
    "#Energy prices\n",
    "electricity_price = 0.18  # 0.18 EU/kWh\n",
    "hydrogen_price = 6 # 6 EU / kg "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7e6a336",
   "metadata": {},
   "source": [
    "#### 1.2 Element data\n",
    "We are including the following elements:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67f8ce36",
   "metadata": {},
   "source": [
    "##### 1.2.1 Foundations and cables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1053,
   "id": "b04ea050",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Wind energy source & Transport',\n",
       " 'element': 'Offshore wind park',\n",
       " 'component': 'Foundation & cable',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 971621.0,\n",
       " 'capex_per_unit_units': 'EUR / MW',\n",
       " 'unit': 3000,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 30,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.03333333333333333,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.015,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.35,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Wind energy source & Transport',\n",
       " 'element': 'Offshore wind park',\n",
       " 'component': 'Foundation & cable',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 971621.0,\n",
       " 'capex_per_unit_units': 'EUR / MW',\n",
       " 'unit': 3000,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 30,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.03333333333333333,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.015,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.35,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Wind park 1\n",
    "foundation_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Wind energy source & Transport', \n",
    "                               element='Offshore wind park',\n",
    "                               component='Foundation & cable')\n",
    "foundation_data['depreciation_rate']=1/foundation_data['economic_lifetime']\n",
    "foundation_data['unit'] = capacity_windpark1\n",
    "display(foundation_data)\n",
    "\n",
    "#Wind park 2\n",
    "foundation2_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Wind energy source & Transport', \n",
    "                               element='Offshore wind park',\n",
    "                               component='Foundation & cable')\n",
    "foundation2_data['depreciation_rate']=1/foundation2_data['economic_lifetime']\n",
    "foundation2_data['unit'] = capacity_windpark2\n",
    "display(foundation2_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1054,
   "id": "cf95a8fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Wind park 1\n",
    "Foundation = Object(**foundation_data)\n",
    "\n",
    "#Wind park 2\n",
    "Foundation2 = Object(**foundation2_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1055,
   "id": "4fbd1661",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Wind park 1\n",
    "Foundation.generate_cashflows(startyear=2030, lifecycle=30, debug=False)\n",
    "\n",
    "#Wind park 2\n",
    "Foundation2.generate_cashflows(startyear=2030, lifecycle=30, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c786b05",
   "metadata": {},
   "source": [
    "##### 1.2.2 Turbines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1056,
   "id": "9252a7a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Wind energy source & Transport',\n",
       " 'element': 'Offshore wind park',\n",
       " 'component': 'Turbine',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 1139979.0,\n",
       " 'capex_per_unit_units': 'EUR / MW',\n",
       " 'unit': 3000,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 30,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.03333333333333333,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.03,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.08,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Wind energy source & Transport',\n",
       " 'element': 'Offshore wind park',\n",
       " 'component': 'Turbine',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 1139979.0,\n",
       " 'capex_per_unit_units': 'EUR / MW',\n",
       " 'unit': 3000,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 30,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.03333333333333333,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.03,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.08,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Wind park 1\n",
    "turbine_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Wind energy source & Transport', \n",
    "                               element='Offshore wind park',\n",
    "                               component='Turbine')\n",
    "turbine_data['depreciation_rate']=1/turbine_data['economic_lifetime']\n",
    "turbine_data['unit']=capacity_windpark1\n",
    "display(turbine_data)\n",
    "\n",
    "#Wind park 2\n",
    "turbine2_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Wind energy source & Transport', \n",
    "                               element='Offshore wind park',\n",
    "                               component='Turbine')\n",
    "turbine2_data['depreciation_rate']=1/turbine2_data['economic_lifetime']\n",
    "turbine2_data['unit']=capacity_windpark2\n",
    "display(turbine2_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1057,
   "id": "0fc2fa36",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Wind park 1\n",
    "Turbine = Object(**turbine_data)\n",
    "\n",
    "#Wind park 2\n",
    "Turbine2 = Object(**turbine2_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1058,
   "id": "ad95ac68",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Wind park 1\n",
    "Turbine.generate_cashflows(startyear=2030, lifecycle=30, debug=False)\n",
    "\n",
    "#Wind park 2\n",
    "Turbine2.generate_cashflows(startyear=2030, lifecycle=30, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c3df5eb",
   "metadata": {},
   "source": [
    "##### 1.3.1 AC Substation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1059,
   "id": "d51ba558",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'AC Substation & Transport',\n",
       " 'element': 'AC Substation & Transport',\n",
       " 'component': 'AC Substation',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 185000.0,\n",
       " 'capex_per_unit_units': 'EUR / MW',\n",
       " 'unit': 6000,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 40,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.025,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.03,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.2,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#AC Substation 1\n",
    "AC_substation_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='AC Substation & Transport', \n",
    "                               element='AC Substation & Transport',\n",
    "                               component='AC Substation')\n",
    "AC_substation_data['depreciation_rate']=1/AC_substation_data['economic_lifetime']\n",
    "AC_substation_data['unit'] = turbine_data['unit'] + turbine2_data['unit']\n",
    "display(AC_substation_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1060,
   "id": "6597af52",
   "metadata": {},
   "outputs": [],
   "source": [
    "#AC Substation 1\n",
    "ACStation = Object(**AC_substation_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1061,
   "id": "ae46a177",
   "metadata": {},
   "outputs": [],
   "source": [
    "#AC Substation 1\n",
    "ACStation.generate_cashflows(startyear=2030, lifecycle=30, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de951422",
   "metadata": {},
   "source": [
    "##### 1.3.2 DC Collection Cable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1062,
   "id": "0458f25a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'AC Substation & Transport',\n",
       " 'element': 'AC Substation & Transport',\n",
       " 'component': 'DC collection cable',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 2000.0,\n",
       " 'capex_per_unit_units': 'EUR / m',\n",
       " 'unit': 30000,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 40,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.025,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.03,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.2,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#DC Collection Cable 1\n",
    "DC_collection_cable_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='AC Substation & Transport', \n",
    "                               element='AC Substation & Transport',\n",
    "                               component='DC collection cable')\n",
    "DC_collection_cable_data['depreciation_rate']=1/DC_collection_cable_data['economic_lifetime']\n",
    "DC_collection_cable_data['unit'] = distance_DC_collection\n",
    "display(DC_collection_cable_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1063,
   "id": "2184eb5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#DC Collection Cable 1\n",
    "DCCollectionCable = Object(**DC_collection_cable_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1064,
   "id": "61a4bf72",
   "metadata": {},
   "outputs": [],
   "source": [
    "#DC Collection Cable 1\n",
    "DCCollectionCable.generate_cashflows(startyear=2030, lifecycle=30, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a5713fa",
   "metadata": {},
   "source": [
    "##### 1.4.1 HVDC Converter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1065,
   "id": "84a2bd8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Converter & Transport',\n",
       " 'element': 'Converter',\n",
       " 'component': 'HVDC Converter',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 472500.0,\n",
       " 'capex_per_unit_units': 'EUR / MW',\n",
       " 'unit': 6000,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 30,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.03333333333333333,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.02,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.02,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#HVDC Converter 1\n",
    "HVDC_converter_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Converter & Transport', \n",
    "                               element='Converter',\n",
    "                               component='HVDC Converter')\n",
    "HVDC_converter_data['depreciation_rate']=1/HVDC_converter_data['economic_lifetime']\n",
    "HVDC_converter_data['unit'] = turbine_data['unit'] + turbine2_data['unit']\n",
    "display(HVDC_converter_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1066,
   "id": "7a5257c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#HVDC Converter 1\n",
    "HVDCConverter = Object(**HVDC_converter_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1067,
   "id": "897f068b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#HVDC Converter 1\n",
    "HVDCConverter.generate_cashflows(startyear=2030, lifecycle=30, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca76b473",
   "metadata": {},
   "source": [
    "##### 1.4.2 HVDC Cable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1068,
   "id": "84ac8e00",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Converter & Transport',\n",
       " 'element': 'Converter',\n",
       " 'component': 'HVDC Cable',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 3800,\n",
       " 'capex_per_unit_units': 'EUR / m',\n",
       " 'unit': 49000.0,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 30,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.03333333333333333,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.02,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.02,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Converter & Transport',\n",
       " 'element': 'Converter',\n",
       " 'component': 'HVDC Cable',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 3800,\n",
       " 'capex_per_unit_units': 'EUR / m',\n",
       " 'unit': 49000.0,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 30,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.03333333333333333,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.02,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.02,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#HVDC Cable 1\n",
    "HVDC_cable_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Converter & Transport', \n",
    "                               element='Converter',\n",
    "                               component='HVDC Cable')\n",
    "HVDC_cable_data['depreciation_rate']=1/HVDC_cable_data['economic_lifetime']\n",
    "HVDC_cable_data['unit'] = distance_island_shore * dedicated_DCAC_energy\n",
    "HVDC_cable_data['capex_per_unit'] = 3800 \n",
    "display(HVDC_cable_data)\n",
    "\n",
    "#HVDC Cable 2\n",
    "HVDC_cable2_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Converter & Transport', \n",
    "                               element='Converter',\n",
    "                               component='HVDC Cable')\n",
    "HVDC_cable2_data['depreciation_rate']=1/HVDC_cable2_data['economic_lifetime']\n",
    "HVDC_cable2_data['unit'] = distance_island_shore * dedicated_DCAC_energy\n",
    "HVDC_cable2_data['capex_per_unit'] = 3800 \n",
    "display(HVDC_cable2_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1069,
   "id": "1908a260",
   "metadata": {},
   "outputs": [],
   "source": [
    "#HVDC Cable 1\n",
    "HVDCCable = Object(**HVDC_cable_data)\n",
    "\n",
    "#HVDC Cable 2\n",
    "HVDCCable2 = Object(**HVDC_cable2_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1070,
   "id": "19a9da39",
   "metadata": {},
   "outputs": [],
   "source": [
    "#HVDC Cable 1\n",
    "HVDCCable.generate_cashflows(startyear=2030, lifecycle=30, debug=False)\n",
    "\n",
    "#HVDC Cable 2\n",
    "HVDCCable2.generate_cashflows(startyear=2030, lifecycle=30, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c33a053",
   "metadata": {},
   "source": [
    "##### 1.5.1 Electrolyser"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1071,
   "id": "370e6e15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Electrolysis, Electricity & Transport',\n",
       " 'element': 'Electrolysis',\n",
       " 'component': 'Electrolyser',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 535000.0,\n",
       " 'capex_per_unit_units': 'EUR / MW',\n",
       " 'unit': 1800.0,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 25,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.04,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.02,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.02,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Electrolyser 1\n",
    "Electrolyser_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Electrolysis, Electricity & Transport', \n",
    "                               element='Electrolysis',\n",
    "                               component='Electrolyser')\n",
    "Electrolyser_data['depreciation_rate']=1/Electrolyser_data['economic_lifetime']\n",
    "Electrolyser_data['unit'] = (turbine_data['unit'] + turbine2_data['unit']) * dedicated_electrolyser_energy\n",
    "display(Electrolyser_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1072,
   "id": "c00b8647",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Electrolyser 1\n",
    "Electrolyser = Object(**Electrolyser_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1073,
   "id": "77567d50",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Electrolyser 1\n",
    "Electrolyser.generate_cashflows(startyear=2030, lifecycle=30, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa0e143d",
   "metadata": {},
   "source": [
    "##### 1.5.2 Desalination Unit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1074,
   "id": "6995fb35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Electrolysis, Electricity & Transport',\n",
       " 'element': 'Electrolysis',\n",
       " 'component': 'Desalination unit',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 3900.0,\n",
       " 'capex_per_unit_units': 'EUR / MW',\n",
       " 'unit': 1800.0,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 15,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.06666666666666667,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.02,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.02,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Desalination Unit 1\n",
    "Desalination_unit_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Electrolysis, Electricity & Transport', \n",
    "                               element='Electrolysis',\n",
    "                               component='Desalination unit')\n",
    "Desalination_unit_data['depreciation_rate']=1/Desalination_unit_data['economic_lifetime']\n",
    "Desalination_unit_data['unit'] = (turbine_data['unit'] + turbine2_data['unit']) * dedicated_electrolyser_energy\n",
    "display(Desalination_unit_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1075,
   "id": "e8897c36",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Desalination Unit 1\n",
    "DesalinationUnit = Object(**Desalination_unit_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1076,
   "id": "c7b594e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Desalination Unit 1\n",
    "DesalinationUnit.generate_cashflows(startyear=2030, lifecycle=30, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74ebe142",
   "metadata": {},
   "source": [
    "##### 1.5.3 Compressor Unit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1077,
   "id": "85ff5846",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Electrolysis, Electricity & Transport',\n",
       " 'element': 'Electrolysis',\n",
       " 'component': 'Compressor unit',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 153000.0,\n",
       " 'capex_per_unit_units': 'EUR / MW',\n",
       " 'unit': 1800.0,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 15,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.06666666666666667,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.02,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.02,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Compressor Unit 1\n",
    "Compressor_unit_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Electrolysis, Electricity & Transport', \n",
    "                               element='Electrolysis',\n",
    "                               component='Compressor unit')\n",
    "Compressor_unit_data['depreciation_rate']=1/Compressor_unit_data['economic_lifetime']\n",
    "Compressor_unit_data['unit'] = (turbine_data['unit'] + turbine2_data['unit']) * dedicated_electrolyser_energy\n",
    "display(Compressor_unit_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1078,
   "id": "c4bdd788",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Compressor Unit 1\n",
    "CompressorUnit = Object(**Compressor_unit_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1079,
   "id": "c0c30609",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Compressor Unit 1\n",
    "CompressorUnit.generate_cashflows(startyear=2030, lifecycle=30, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79da6a3f",
   "metadata": {},
   "source": [
    "##### 1.5.4 Storage Unit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1080,
   "id": "3e4f943c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Electrolysis, Electricity & Transport',\n",
       " 'element': 'Electrolysis',\n",
       " 'component': 'Storage unit',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 290000.0,\n",
       " 'capex_per_unit_units': 'EUR / MW',\n",
       " 'unit': 1800.0,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 15,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.06666666666666667,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.02,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.02,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Storage Unit 1\n",
    "Storage_unit_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Electrolysis, Electricity & Transport', \n",
    "                               element='Electrolysis',\n",
    "                               component='Storage unit')\n",
    "Storage_unit_data['depreciation_rate']=1/Storage_unit_data['economic_lifetime']\n",
    "Storage_unit_data['unit'] = (turbine_data['unit'] + turbine2_data['unit']) * dedicated_electrolyser_energy\n",
    "display(Storage_unit_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1081,
   "id": "c3808cd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Storage Unit 1\n",
    "StorageUnit = Object(**Storage_unit_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1082,
   "id": "42c49b1c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Storage Unit 1\n",
    "StorageUnit.generate_cashflows(startyear=2030, lifecycle=30, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fe92020",
   "metadata": {},
   "source": [
    "##### 1.5.5 Compressor after storage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1083,
   "id": "88db3592",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Electrolysis, Electricity & Transport',\n",
       " 'element': 'Electrolysis',\n",
       " 'component': 'Compressor after storage',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 10200.0,\n",
       " 'capex_per_unit_units': 'EUR / MW',\n",
       " 'unit': 1800.0,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 15,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.06666666666666667,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.02,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.02,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Compressor after storage 1\n",
    "Compressor_after_storage_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Electrolysis, Electricity & Transport', \n",
    "                               element='Electrolysis',\n",
    "                               component='Compressor after storage')\n",
    "Compressor_after_storage_data['depreciation_rate']=1/Compressor_after_storage_data['economic_lifetime']\n",
    "Compressor_after_storage_data['unit'] = (turbine_data['unit'] + turbine2_data['unit']) * dedicated_electrolyser_energy\n",
    "display(Compressor_after_storage_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1084,
   "id": "da0f4fa9",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Compressor after storage 1\n",
    "CompressorAfterStorage = Object(**Compressor_after_storage_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1085,
   "id": "5a14cb21",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Compressor after storage 1\n",
    "CompressorAfterStorage.generate_cashflows(startyear=2030, lifecycle=30, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f7a599b",
   "metadata": {},
   "source": [
    "##### 1.6 DCAC Converter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1086,
   "id": "86409a30",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Electrolysis, Electricity & Transport',\n",
       " 'element': 'Electricity',\n",
       " 'component': 'DCAC Converter',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 285000.0,\n",
       " 'capex_per_unit_units': 'EUR / MW',\n",
       " 'unit': 4200.0,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 25,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.04,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.03,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.02,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#DCAC Converter 1\n",
    "DCAC_converter_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Electrolysis, Electricity & Transport', \n",
    "                               element='Electricity',\n",
    "                               component='DCAC Converter')\n",
    "DCAC_converter_data['depreciation_rate']=1/DCAC_converter_data['economic_lifetime']\n",
    "DCAC_converter_data['unit'] = (turbine_data['unit'] + turbine2_data['unit']) * dedicated_DCAC_energy\n",
    "display(DCAC_converter_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1087,
   "id": "2aec7899",
   "metadata": {},
   "outputs": [],
   "source": [
    "#DCAC Converter 1\n",
    "DCACConverter = Object(**DCAC_converter_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1088,
   "id": "161216e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#DCAC Converter 1\n",
    "DCACConverter.generate_cashflows(startyear=2030, lifecycle=30, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b42dd1b",
   "metadata": {},
   "source": [
    "##### 1.7.1 Artificial Island"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1089,
   "id": "d7467e9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Electrolysis, Electricity & Transport',\n",
       " 'element': 'Facility location',\n",
       " 'component': 'Artificial island',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 1410000000,\n",
       " 'capex_per_unit_units': 'EUR / MW',\n",
       " 'unit': 1,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 80,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.0125,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.02,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.02,\n",
       " 'residual_value': 0.01}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Artificial_island_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Electrolysis, Electricity & Transport', \n",
    "                               element='Facility location',\n",
    "                               component='Artificial island')\n",
    "Artificial_island_data['depreciation_rate']=1/Artificial_island_data['economic_lifetime']\n",
    "Artificial_island_data['unit']=1\n",
    "Artificial_island_data['capex_per_unit']=1_410_000_000\n",
    "display(Artificial_island_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1090,
   "id": "91230058",
   "metadata": {},
   "outputs": [],
   "source": [
    "ArtificialIsland = Object(**Artificial_island_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1091,
   "id": "f58b1dce",
   "metadata": {},
   "outputs": [],
   "source": [
    "ArtificialIsland.generate_cashflows(startyear=2030, lifecycle=30, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8d8e621",
   "metadata": {},
   "source": [
    "##### 1.7.2 Mainland"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1092,
   "id": "2ff492de",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "issue detected\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Electrolysis, Electricity & Transport',\n",
       " 'element': 'Facility location',\n",
       " 'component': 'Mainland',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 6000.0,\n",
       " 'capex_per_unit_units': 'EUR / MW',\n",
       " 'unit': 4200.0,\n",
       " 'unit_units': 'MW',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 80,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.0125,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.1,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.01,\n",
       " 'residual_value': []}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Mainland_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Electrolysis, Electricity & Transport', \n",
    "                               element='Facility location',\n",
    "                               component='Mainland')\n",
    "Mainland_data['depreciation_rate']=1/Mainland_data['economic_lifetime']\n",
    "Mainland_data['unit'] = (turbine_data['unit'] + turbine2_data['unit']) * dedicated_DCAC_energy\n",
    "display(Mainland_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1093,
   "id": "b2e0ecd9",
   "metadata": {},
   "outputs": [],
   "source": [
    "Mainland = Object(**Mainland_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1094,
   "id": "940749d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "Mainland.generate_cashflows(startyear=2030, lifecycle=30, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43b72b80",
   "metadata": {},
   "source": [
    "##### 1.8.1 H2 Pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1095,
   "id": "da129c7d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "issue detected\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'sub_system': 'Electrolysis, Electricity & Transport',\n",
       " 'element': 'Transport',\n",
       " 'component': 'H2 Pipeline',\n",
       " 'escalation_base_year': 2030,\n",
       " 'escalation_rate': 0.02,\n",
       " 'capex_per_unit': 1500,\n",
       " 'capex_per_unit_units': 'EUR / m',\n",
       " 'unit': 21000.0,\n",
       " 'unit_units': 'm',\n",
       " 'construction_duration': 3,\n",
       " 'share_of_investments': [0.2, 0.4, 0.4],\n",
       " 'economic_lifetime': 30,\n",
       " 'depreciation_flag': 1,\n",
       " 'depreciation_rate': 0.03333333333333333,\n",
       " 'yearly_variable_costs_flag': 1,\n",
       " 'yearly_variable_costs_rate': 0.02,\n",
       " 'insurance_flag': 1,\n",
       " 'insurance_rate': 0.005,\n",
       " 'decommissioning_rate': 0.02,\n",
       " 'residual_value': []}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "H2_pipeline_data = get_object_data(Inputs=Inputs, \n",
    "                               subsystem='Electrolysis, Electricity & Transport', \n",
    "                               element='Transport',\n",
    "                               component='H2 Pipeline')\n",
    "H2_pipeline_data['depreciation_rate']=1/H2_pipeline_data['economic_lifetime']\n",
    "H2_pipeline_data['unit'] = distance_island_shore * dedicated_electrolyser_energy\n",
    "H2_pipeline_data['capex_per_unit'] = 1500\n",
    "display(H2_pipeline_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1096,
   "id": "596f88bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "H2Pipeline = Object(**H2_pipeline_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1097,
   "id": "5f485979",
   "metadata": {},
   "outputs": [],
   "source": [
    "H2Pipeline.generate_cashflows(startyear=2030, lifecycle=30, debug=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57b1968c",
   "metadata": {},
   "source": [
    "##### 2. Generate combined cashflows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1098,
   "id": "a032498d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# place escalated revenue values in the cashflow dataframe\n",
    "df_combined=combine_cashflow_dataframes([Foundation.df, Foundation2.df, Turbine.df, Turbine2.df, ACStation.df, DCCollectionCable.df, HVDCConverter.df, HVDCCable.df, HVDCCable2.df, Electrolyser.df, DesalinationUnit.df, CompressorUnit.df, StorageUnit.df, CompressorAfterStorage.df, DCACConverter.df, ArtificialIsland.df, Mainland.df, H2Pipeline.df])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f79aae1",
   "metadata": {},
   "source": [
    "##### 3. Calculate NPVs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1099,
   "id": "71097a8c",
   "metadata": {
    "scrolled": false
   },
   "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>years</th>\n",
       "      <th>capex</th>\n",
       "      <th>opex</th>\n",
       "      <th>revenue</th>\n",
       "      <th>cashflow</th>\n",
       "      <th>cashflow_sum</th>\n",
       "      <th>npv</th>\n",
       "      <th>npv_sum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>years</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2030</th>\n",
       "      <td>2030</td>\n",
       "      <td>-4.385282e+09</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>-4.385282e+09</td>\n",
       "      <td>-4.385282e+09</td>\n",
       "      <td>-4.385282e+09</td>\n",
       "      <td>-4.385282e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2031</th>\n",
       "      <td>2031</td>\n",
       "      <td>-8.945975e+09</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>-8.945975e+09</td>\n",
       "      <td>-1.333126e+10</td>\n",
       "      <td>-8.144551e+09</td>\n",
       "      <td>-1.252983e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2032</th>\n",
       "      <td>2032</td>\n",
       "      <td>-9.124895e+09</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0</td>\n",
       "      <td>-9.124895e+09</td>\n",
       "      <td>-2.245615e+10</td>\n",
       "      <td>-7.563221e+09</td>\n",
       "      <td>-2.009305e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2033</th>\n",
       "      <td>2033</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-6.811084e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-6.811084e+08</td>\n",
       "      <td>-2.313726e+10</td>\n",
       "      <td>-5.139663e+08</td>\n",
       "      <td>-2.060702e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2034</th>\n",
       "      <td>2034</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-6.947305e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-6.947305e+08</td>\n",
       "      <td>-2.383199e+10</td>\n",
       "      <td>-4.772812e+08</td>\n",
       "      <td>-2.108430e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2035</th>\n",
       "      <td>2035</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-7.086252e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-7.086252e+08</td>\n",
       "      <td>-2.454062e+10</td>\n",
       "      <td>-4.432145e+08</td>\n",
       "      <td>-2.152752e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2036</th>\n",
       "      <td>2036</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-7.227977e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-7.227977e+08</td>\n",
       "      <td>-2.526341e+10</td>\n",
       "      <td>-4.115794e+08</td>\n",
       "      <td>-2.193910e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2037</th>\n",
       "      <td>2037</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-7.372536e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-7.372536e+08</td>\n",
       "      <td>-2.600067e+10</td>\n",
       "      <td>-3.822022e+08</td>\n",
       "      <td>-2.232130e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2038</th>\n",
       "      <td>2038</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-7.519987e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-7.519987e+08</td>\n",
       "      <td>-2.675267e+10</td>\n",
       "      <td>-3.549220e+08</td>\n",
       "      <td>-2.267622e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2039</th>\n",
       "      <td>2039</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-7.670387e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-7.670387e+08</td>\n",
       "      <td>-2.751970e+10</td>\n",
       "      <td>-3.295889e+08</td>\n",
       "      <td>-2.300581e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2040</th>\n",
       "      <td>2040</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-7.823794e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-7.823794e+08</td>\n",
       "      <td>-2.830208e+10</td>\n",
       "      <td>-3.060640e+08</td>\n",
       "      <td>-2.331187e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2041</th>\n",
       "      <td>2041</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-7.980270e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-7.980270e+08</td>\n",
       "      <td>-2.910011e+10</td>\n",
       "      <td>-2.842182e+08</td>\n",
       "      <td>-2.359609e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2042</th>\n",
       "      <td>2042</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-8.139876e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-8.139876e+08</td>\n",
       "      <td>-2.991410e+10</td>\n",
       "      <td>-2.639317e+08</td>\n",
       "      <td>-2.386002e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2043</th>\n",
       "      <td>2043</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-8.302673e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-8.302673e+08</td>\n",
       "      <td>-3.074437e+10</td>\n",
       "      <td>-2.450931e+08</td>\n",
       "      <td>-2.410512e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2044</th>\n",
       "      <td>2044</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-8.468727e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-8.468727e+08</td>\n",
       "      <td>-3.159124e+10</td>\n",
       "      <td>-2.275992e+08</td>\n",
       "      <td>-2.433272e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2045</th>\n",
       "      <td>2045</td>\n",
       "      <td>-2.259001e+08</td>\n",
       "      <td>-8.638101e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.089710e+09</td>\n",
       "      <td>-3.268095e+10</td>\n",
       "      <td>-2.666264e+08</td>\n",
       "      <td>-2.459934e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2046</th>\n",
       "      <td>2046</td>\n",
       "      <td>-4.608363e+08</td>\n",
       "      <td>-8.810863e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.341923e+09</td>\n",
       "      <td>-3.402287e+10</td>\n",
       "      <td>-2.989228e+08</td>\n",
       "      <td>-2.489826e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2047</th>\n",
       "      <td>2047</td>\n",
       "      <td>-4.700530e+08</td>\n",
       "      <td>-9.232599e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.393313e+09</td>\n",
       "      <td>-3.541618e+10</td>\n",
       "      <td>-2.825659e+08</td>\n",
       "      <td>-2.518083e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2048</th>\n",
       "      <td>2048</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-9.275091e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-9.275091e+08</td>\n",
       "      <td>-3.634369e+10</td>\n",
       "      <td>-1.712493e+08</td>\n",
       "      <td>-2.535208e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2049</th>\n",
       "      <td>2049</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-9.460593e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-9.460593e+08</td>\n",
       "      <td>-3.728975e+10</td>\n",
       "      <td>-1.590261e+08</td>\n",
       "      <td>-2.551111e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2050</th>\n",
       "      <td>2050</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-9.649805e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-9.649805e+08</td>\n",
       "      <td>-3.825473e+10</td>\n",
       "      <td>-1.476754e+08</td>\n",
       "      <td>-2.565878e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2051</th>\n",
       "      <td>2051</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-9.842801e+08</td>\n",
       "      <td>0</td>\n",
       "      <td>-9.842801e+08</td>\n",
       "      <td>-3.923901e+10</td>\n",
       "      <td>-1.371348e+08</td>\n",
       "      <td>-2.579592e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2052</th>\n",
       "      <td>2052</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-1.003966e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.003966e+09</td>\n",
       "      <td>-4.024298e+10</td>\n",
       "      <td>-1.273466e+08</td>\n",
       "      <td>-2.592326e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2053</th>\n",
       "      <td>2053</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-1.024045e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.024045e+09</td>\n",
       "      <td>-4.126702e+10</td>\n",
       "      <td>-1.182570e+08</td>\n",
       "      <td>-2.604152e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2054</th>\n",
       "      <td>2054</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-1.044526e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.044526e+09</td>\n",
       "      <td>-4.231155e+10</td>\n",
       "      <td>-1.098163e+08</td>\n",
       "      <td>-2.615134e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2055</th>\n",
       "      <td>2055</td>\n",
       "      <td>-7.229166e+08</td>\n",
       "      <td>-1.065416e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.788333e+09</td>\n",
       "      <td>-4.409988e+10</td>\n",
       "      <td>-1.711730e+08</td>\n",
       "      <td>-2.632251e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2056</th>\n",
       "      <td>2056</td>\n",
       "      <td>-1.474750e+09</td>\n",
       "      <td>-1.086725e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>-2.561475e+09</td>\n",
       "      <td>-4.666136e+10</td>\n",
       "      <td>-2.232114e+08</td>\n",
       "      <td>-2.654572e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2057</th>\n",
       "      <td>2057</td>\n",
       "      <td>-1.504245e+09</td>\n",
       "      <td>-1.187029e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>-2.691274e+09</td>\n",
       "      <td>-4.935263e+10</td>\n",
       "      <td>-2.135127e+08</td>\n",
       "      <td>-2.675923e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2058</th>\n",
       "      <td>2058</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-1.209027e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.209027e+09</td>\n",
       "      <td>-5.056166e+10</td>\n",
       "      <td>-8.732558e+07</td>\n",
       "      <td>-2.684656e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2059</th>\n",
       "      <td>2059</td>\n",
       "      <td>6.689480e+09</td>\n",
       "      <td>-6.924733e+09</td>\n",
       "      <td>0</td>\n",
       "      <td>-2.352524e+08</td>\n",
       "      <td>-5.079691e+10</td>\n",
       "      <td>-1.546959e+07</td>\n",
       "      <td>-2.686203e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       years         capex          opex  revenue      cashflow  cashflow_sum  \\\n",
       "years                                                                           \n",
       "2030    2030 -4.385282e+09  0.000000e+00        0 -4.385282e+09 -4.385282e+09   \n",
       "2031    2031 -8.945975e+09  0.000000e+00        0 -8.945975e+09 -1.333126e+10   \n",
       "2032    2032 -9.124895e+09  0.000000e+00        0 -9.124895e+09 -2.245615e+10   \n",
       "2033    2033  0.000000e+00 -6.811084e+08        0 -6.811084e+08 -2.313726e+10   \n",
       "2034    2034  0.000000e+00 -6.947305e+08        0 -6.947305e+08 -2.383199e+10   \n",
       "2035    2035  0.000000e+00 -7.086252e+08        0 -7.086252e+08 -2.454062e+10   \n",
       "2036    2036  0.000000e+00 -7.227977e+08        0 -7.227977e+08 -2.526341e+10   \n",
       "2037    2037  0.000000e+00 -7.372536e+08        0 -7.372536e+08 -2.600067e+10   \n",
       "2038    2038  0.000000e+00 -7.519987e+08        0 -7.519987e+08 -2.675267e+10   \n",
       "2039    2039  0.000000e+00 -7.670387e+08        0 -7.670387e+08 -2.751970e+10   \n",
       "2040    2040  0.000000e+00 -7.823794e+08        0 -7.823794e+08 -2.830208e+10   \n",
       "2041    2041  0.000000e+00 -7.980270e+08        0 -7.980270e+08 -2.910011e+10   \n",
       "2042    2042  0.000000e+00 -8.139876e+08        0 -8.139876e+08 -2.991410e+10   \n",
       "2043    2043  0.000000e+00 -8.302673e+08        0 -8.302673e+08 -3.074437e+10   \n",
       "2044    2044  0.000000e+00 -8.468727e+08        0 -8.468727e+08 -3.159124e+10   \n",
       "2045    2045 -2.259001e+08 -8.638101e+08        0 -1.089710e+09 -3.268095e+10   \n",
       "2046    2046 -4.608363e+08 -8.810863e+08        0 -1.341923e+09 -3.402287e+10   \n",
       "2047    2047 -4.700530e+08 -9.232599e+08        0 -1.393313e+09 -3.541618e+10   \n",
       "2048    2048  0.000000e+00 -9.275091e+08        0 -9.275091e+08 -3.634369e+10   \n",
       "2049    2049  0.000000e+00 -9.460593e+08        0 -9.460593e+08 -3.728975e+10   \n",
       "2050    2050  0.000000e+00 -9.649805e+08        0 -9.649805e+08 -3.825473e+10   \n",
       "2051    2051  0.000000e+00 -9.842801e+08        0 -9.842801e+08 -3.923901e+10   \n",
       "2052    2052  0.000000e+00 -1.003966e+09        0 -1.003966e+09 -4.024298e+10   \n",
       "2053    2053  0.000000e+00 -1.024045e+09        0 -1.024045e+09 -4.126702e+10   \n",
       "2054    2054  0.000000e+00 -1.044526e+09        0 -1.044526e+09 -4.231155e+10   \n",
       "2055    2055 -7.229166e+08 -1.065416e+09        0 -1.788333e+09 -4.409988e+10   \n",
       "2056    2056 -1.474750e+09 -1.086725e+09        0 -2.561475e+09 -4.666136e+10   \n",
       "2057    2057 -1.504245e+09 -1.187029e+09        0 -2.691274e+09 -4.935263e+10   \n",
       "2058    2058  0.000000e+00 -1.209027e+09        0 -1.209027e+09 -5.056166e+10   \n",
       "2059    2059  6.689480e+09 -6.924733e+09        0 -2.352524e+08 -5.079691e+10   \n",
       "\n",
       "                npv       npv_sum  \n",
       "years                              \n",
       "2030  -4.385282e+09 -4.385282e+09  \n",
       "2031  -8.144551e+09 -1.252983e+10  \n",
       "2032  -7.563221e+09 -2.009305e+10  \n",
       "2033  -5.139663e+08 -2.060702e+10  \n",
       "2034  -4.772812e+08 -2.108430e+10  \n",
       "2035  -4.432145e+08 -2.152752e+10  \n",
       "2036  -4.115794e+08 -2.193910e+10  \n",
       "2037  -3.822022e+08 -2.232130e+10  \n",
       "2038  -3.549220e+08 -2.267622e+10  \n",
       "2039  -3.295889e+08 -2.300581e+10  \n",
       "2040  -3.060640e+08 -2.331187e+10  \n",
       "2041  -2.842182e+08 -2.359609e+10  \n",
       "2042  -2.639317e+08 -2.386002e+10  \n",
       "2043  -2.450931e+08 -2.410512e+10  \n",
       "2044  -2.275992e+08 -2.433272e+10  \n",
       "2045  -2.666264e+08 -2.459934e+10  \n",
       "2046  -2.989228e+08 -2.489826e+10  \n",
       "2047  -2.825659e+08 -2.518083e+10  \n",
       "2048  -1.712493e+08 -2.535208e+10  \n",
       "2049  -1.590261e+08 -2.551111e+10  \n",
       "2050  -1.476754e+08 -2.565878e+10  \n",
       "2051  -1.371348e+08 -2.579592e+10  \n",
       "2052  -1.273466e+08 -2.592326e+10  \n",
       "2053  -1.182570e+08 -2.604152e+10  \n",
       "2054  -1.098163e+08 -2.615134e+10  \n",
       "2055  -1.711730e+08 -2.632251e+10  \n",
       "2056  -2.232114e+08 -2.654572e+10  \n",
       "2057  -2.135127e+08 -2.675923e+10  \n",
       "2058  -8.732558e+07 -2.684656e+10  \n",
       "2059  -1.546959e+07 -2.686203e+10  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-26862027965.648376\n"
     ]
    }
   ],
   "source": [
    "df_combined_npv=calculate_npv(df_combined, 2030, WACC=WACC)\n",
    "display(df_combined_npv)\n",
    "final_npv_sum = df_combined_npv['npv_sum'].iloc[-1]\n",
    "print(final_npv_sum)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2ac3761",
   "metadata": {},
   "source": [
    "##### 4. Plots"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6194cfb0",
   "metadata": {},
   "source": [
    "##### 4.1. NPV Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1100,
   "id": "13f4890a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# DEV: Project development costs\n",
    "# INV: Investment / procurement costs\n",
    "# INST: Installation / construction costs \n",
    "# O&M: Yearly variable / O&M costs \n",
    "# DEC: Decommissioning costs \n",
    "# RES: Residual value   \n",
    "\n",
    "create_npv_plot(df_combined_npv, title='Supply chain: Scenario 3 \\n DEV: yes, INV: yes, INST: yes, O&M: yes, DEC: yes, RES: yes' )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "436b2218",
   "metadata": {},
   "source": [
    "##### 4.2. Pie chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1101,
   "id": "348f490a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# collect the npv calculations per item (without revenues)\n",
    "Foundation.df_npv = calculate_npv(Foundation.df, 2030, WACC=WACC)\n",
    "Foundation2.df_npv = calculate_npv(Foundation2.df, 2030, WACC=WACC)\n",
    "\n",
    "Turbine.df_npv = calculate_npv(Turbine.df, 2030, WACC=WACC)\n",
    "Turbine2.df_npv = calculate_npv(Turbine2.df, 2030, WACC=WACC)\n",
    "\n",
    "ACStation.df_npv = calculate_npv(ACStation.df, 2030, WACC=WACC)\n",
    "DCCollectionCable.df_npv = calculate_npv(DCCollectionCable.df, 2030, WACC=WACC)\n",
    "\n",
    "HVDCConverter.df_npv = calculate_npv(HVDCConverter.df, 2030, WACC=WACC)\n",
    "HVDCCable.df_npv = calculate_npv(HVDCCable.df, 2030, WACC=WACC)\n",
    "HVDCCable2.df_npv = calculate_npv(HVDCCable2.df, 2030, WACC=WACC)\n",
    "\n",
    "Electrolyser.df_npv = calculate_npv(Electrolyser.df, 2030, WACC=WACC)\n",
    "DesalinationUnit.df_npv = calculate_npv(DesalinationUnit.df, 2030, WACC=WACC)\n",
    "CompressorUnit.df_npv = calculate_npv(CompressorUnit.df, 2030, WACC=WACC)\n",
    "StorageUnit.df_npv = calculate_npv(StorageUnit.df, 2030, WACC=WACC)\n",
    "CompressorAfterStorage.df_npv = calculate_npv(CompressorAfterStorage.df, 2030, WACC=WACC)\n",
    "\n",
    "DCACConverter.df_npv = calculate_npv(DCACConverter.df, 2030, WACC=WACC)\n",
    "\n",
    "ArtificialIsland.df_npv = calculate_npv(ArtificialIsland.df, 2030, WACC=WACC)\n",
    "Mainland.df_npv = calculate_npv(Mainland.df, 2030, WACC=WACC)\n",
    "\n",
    "H2Pipeline.df_npv = calculate_npv(H2Pipeline.df, 2030, WACC=WACC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1102,
   "id": "bdef2a20",
   "metadata": {},
   "outputs": [],
   "source": [
    "# combine the values of certain items\n",
    "foundation_cables_value_npv_sum = -Foundation.df_npv.npv_sum.iloc[-1] - Foundation2.df_npv.npv_sum.iloc[-1]\n",
    "turbine_value_npv_sum = -Turbine.df_npv.npv_sum.iloc[-1] - Turbine2.df_npv.npv_sum.iloc[-1]\n",
    "AC_substation_value_npv_sum = -ACStation.df_npv.npv_sum.iloc[-1] - DCCollectionCable.df_npv.npv_sum.iloc[-1]\n",
    "hvdc_converter_value_npv_sum = -HVDCConverter.df_npv.npv_sum.iloc[-1] \n",
    "hvdc_cable_value_npv_sum = - HVDCCable.df_npv.npv_sum.iloc[-1] -HVDCCable2.df_npv.npv_sum.iloc[-1]\n",
    "electrolysis_value_npv_sum = -Electrolyser.df_npv.npv_sum.iloc[-1] -DesalinationUnit.df_npv.npv_sum.iloc[-1] -CompressorUnit.df_npv.npv_sum.iloc[-1] -StorageUnit.df_npv.npv_sum.iloc[-1] -CompressorAfterStorage.df_npv.npv_sum.iloc[-1]\n",
    "dcac_converter_value_npv_sum = -DCACConverter.df_npv.npv_sum.iloc[-1]\n",
    "artificial_island_value_npv_sum = -ArtificialIsland.df_npv.npv_sum.iloc[-1]\n",
    "mainland_value_npv_sum = -Mainland.df_npv.npv_sum.iloc[-1]\n",
    "H2_pipeline_value_npv_sum = -H2Pipeline.df_npv.npv_sum.iloc[-1]\n",
    "\n",
    "# create a new data point for each combined value\n",
    "data_hydrogen_npv = [foundation_cables_value_npv_sum, turbine_value_npv_sum, AC_substation_value_npv_sum, hvdc_converter_value_npv_sum, electrolysis_value_npv_sum, artificial_island_value_npv_sum, H2_pipeline_value_npv_sum\n",
    "]\n",
    "\n",
    "data_electricity_npv = [foundation_cables_value_npv_sum, turbine_value_npv_sum, AC_substation_value_npv_sum, hvdc_converter_value_npv_sum, hvdc_cable_value_npv_sum, dcac_converter_value_npv_sum, artificial_island_value_npv_sum, mainland_value_npv_sum\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1103,
   "id": "6edb24c8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dedicated_cost = 0.3 * 6868044517.266318 = 2060413355.1798954\n",
      "dedicated_cost = 0.3 * 8888738559.052273 = 2666621567.7156816\n",
      "dedicated_cost = 0.3 * 1519856369.6620078 = 455956910.8986023\n",
      "dedicated_cost = 0.3 * 3370034621.6313 = 1011010386.4893899\n",
      "dedicated_cost = 0.3 * 1621619702.621597 = 486485910.7864791\n",
      "2445089605.948821\n",
      "37444829.129236676\n",
      "6680488131.070048\n",
      "9163022566.148106\n"
     ]
    }
   ],
   "source": [
    "dedicated_data_hydrogen_npv = []\n",
    "for item in data_hydrogen_npv:\n",
    "    if item not in [electrolysis_value_npv_sum, H2_pipeline_value_npv_sum]:\n",
    "        dedicated_cost = dedicated_electrolyser_energy * item\n",
    "        dedicated_data_hydrogen_npv.append(dedicated_cost)\n",
    "        print(f\"dedicated_cost = {dedicated_electrolyser_energy} * {item} = {dedicated_cost}\")\n",
    "\n",
    "data_hydrogen = sum(dedicated_data_hydrogen_npv) + electrolysis_value_npv_sum + H2_pipeline_value_npv_sum\n",
    "print(electrolysis_value_npv_sum)\n",
    "print(H2_pipeline_value_npv_sum)\n",
    "print(sum(dedicated_data_hydrogen_npv))\n",
    "print(data_hydrogen)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1104,
   "id": "2e8c93cc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "New value of cost: 2060413355.1798954\n",
      "New value of cost: 2666621567.7156816\n",
      "New value of cost: 455956910.8986023\n",
      "New value of cost: 1011010386.4893899\n",
      "New value of cost: 486485910.7864791\n",
      "2445089605.948821\n",
      "37444829.129236676\n",
      "6680488131.070048\n",
      "9163022566.148106\n"
     ]
    }
   ],
   "source": [
    "dedicated_data_hydrogen_npv = []\n",
    "for item in data_hydrogen_npv:\n",
    "    if item not in [electrolysis_value_npv_sum, H2_pipeline_value_npv_sum]:\n",
    "        dedicated_cost = dedicated_electrolyser_energy * item\n",
    "        dedicated_data_hydrogen_npv.append(dedicated_cost)\n",
    "        print(\"New value of cost:\", dedicated_cost)\n",
    "\n",
    "data_hydrogen = sum(dedicated_data_hydrogen_npv) + electrolysis_value_npv_sum + H2_pipeline_value_npv_sum\n",
    "print(electrolysis_value_npv_sum)\n",
    "print(H2_pipeline_value_npv_sum)\n",
    "print(sum(dedicated_data_hydrogen_npv))\n",
    "print(data_hydrogen)\n",
    "\n",
    "dedicated_data_electricity_npv = []\n",
    "for item in data_electricity_npv:\n",
    "    if item not in [hvdc_cable_value_npv_sum, dcac_converter_value_npv_sum, mainland_value_npv_sum]:\n",
    "        dedicated_data_electricity_npv.append(dedicated_DCAC_energy * item)\n",
    "\n",
    "data_electricity = sum(dedicated_data_electricity_npv) + dcac_converter_value_npv_sum + mainland_value_npv_sum + hvdc_cable_value_npv_sum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1105,
   "id": "1a1b1b8c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# prepare input for pie chart\n",
    "\n",
    "# combine the values of certain items\n",
    "foundation_cables_value = -Foundation.df_npv.cashflow_sum.iloc[-1] - Foundation2.df_npv.cashflow_sum.iloc[-1]\n",
    "turbine_value = -Turbine.df_npv.cashflow_sum.iloc[-1] - Turbine2.df_npv.cashflow_sum.iloc[-1]\n",
    "AC_substation_value = -ACStation.df_npv.cashflow_sum.iloc[-1] - DCCollectionCable.df_npv.cashflow_sum.iloc[-1]\n",
    "hvdc_converter_value = -HVDCConverter.df_npv.cashflow_sum.iloc[-1] -HVDCCable.df_npv.cashflow_sum.iloc[-1] -HVDCCable.df_npv.cashflow_sum.iloc[-1]\n",
    "electrolysis_value = -Electrolyser.df_npv.cashflow_sum.iloc[-1] -DesalinationUnit.df_npv.cashflow_sum.iloc[-1] -CompressorUnit.df_npv.cashflow_sum.iloc[-1] -StorageUnit.df_npv.cashflow_sum.iloc[-1] -CompressorAfterStorage.df_npv.cashflow_sum.iloc[-1]\n",
    "dcac_converter_value = -DCACConverter.df_npv.cashflow_sum.iloc[-1] \n",
    "artificial_island_value = -ArtificialIsland.df_npv.cashflow_sum.iloc[-1]\n",
    "mainland_value = -Mainland.df_npv.cashflow_sum.iloc[-1]\n",
    "H2_pipeline_value = -H2Pipeline.df_npv.cashflow_sum.iloc[-1]\n",
    "\n",
    "# create a new data point for each combined value\n",
    "labels = ['Foundation & cables', 'Turbine', 'AC Substation', 'HVDC Converter & cables', 'Electrolysis', 'DCAC Converter', 'Mainland', 'Artificial Island', 'H2 Pipeline']\n",
    "data = [foundation_cables_value, turbine_value, AC_substation_value, hvdc_converter_value, electrolysis_value, dcac_converter_value, mainland_value, artificial_island_value, H2_pipeline_value\n",
    "]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1106,
   "id": "d2747530",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create pie plot\n",
    "fig, ax = plt.subplots(figsize=(16, 10), subplot_kw=dict(aspect=\"equal\"))\n",
    "\n",
    "def func(pct, allvals):\n",
    "    absolute = int(np.round(pct/100.*np.sum(allvals)))\n",
    "    return f\"{pct:.1f}%\"\n",
    "\n",
    "\n",
    "wedges, texts, autotexts = ax.pie(data, autopct=lambda pct: func(pct, data),\n",
    "                                  textprops=dict(color=\"w\"))\n",
    "\n",
    "ax.legend(wedges, labels,\n",
    "          title=\"Components\",\n",
    "          loc=\"center left\",\n",
    "          bbox_to_anchor=(1, 0, 0.5, 1),\n",
    "         fontsize=15)\n",
    "\n",
    "plt.setp(autotexts, size=15, weight=\"bold\")\n",
    "\n",
    "ax.set_title(\"Cost diagram - Scenario 3 \\n Wind park 100 km from the coast \\n W2H (30%) / C(D, P, IC, R)-O(Y, I, D)-E-DCF / PD30 - WC12\", fontsize=20)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4bc12d2d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "d6113afe",
   "metadata": {},
   "source": [
    "##### 5. Energy production + LCOE & LCOH"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1107,
   "id": "52e39630",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "wind_energy_production_per_year_park1: 13140000000 kWh\n",
      "wind_energy_production_per_year_park2: 13140000000 kWh\n"
     ]
    }
   ],
   "source": [
    "wind_energy_production_per_year_park1 = (turbine_data['unit']) * 1000 * 4380\n",
    "print('wind_energy_production_per_year_park1: {:.0f} kWh'.format(wind_energy_production_per_year_park1))\n",
    "wind_energy_production_per_year_park2 = (turbine2_data['unit']) * 1000 * 4380\n",
    "print('wind_energy_production_per_year_park2: {:.0f} kWh'.format(wind_energy_production_per_year_park2))\n",
    "\n",
    "total_wind_energy_production_per_year = []\n",
    "for year in range(startyear, endyear+1):\n",
    "    if year < (startyear + turbine_data['construction_duration']):\n",
    "        # Wind park 1 not yet operational\n",
    "        total_wind_energy_production_per_year.append(0)\n",
    "    else:\n",
    "        # Both wind parks operational\n",
    "        total_wind_energy_production_per_year.append(wind_energy_production_per_year_park1 + wind_energy_production_per_year_park2)\n",
    "\n",
    "# Create a DataFrame to hold the data\n",
    "production_data = {\n",
    "    'Year': range(startyear, endyear+1),\n",
    "    'Wind Energy Production (kWh)': total_wind_energy_production_per_year\n",
    "}\n",
    "df_wind = pd.DataFrame(production_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1108,
   "id": "d55e135e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total hydrogen onshore: 3518556371.55 kg hydrogen\n",
      "Total electricity onshore: 388893072645.00 kWh\n",
      "Total hydrogen converted to electricity onshore: 58583963586.31 kWh\n"
     ]
    }
   ],
   "source": [
    "# Multiply every annual value by the cable efficiency factors\n",
    "wind_energy_production_per_year_after_cable_losses = []\n",
    "for energy in total_wind_energy_production_per_year:\n",
    "    energy_after_cable_losses = energy * inter_array_cable_efficiency * DC_collection_cable_efficiency * HVDC_cable_efficiency\n",
    "    wind_energy_production_per_year_after_cable_losses.append(energy_after_cable_losses)\n",
    "\n",
    "# Calculate energy after electrolysis and transportation onshore and convert to kg hydrogen\n",
    "hydrogen_onshore_per_year = []\n",
    "for energy in wind_energy_production_per_year_after_cable_losses:\n",
    "    energy_after_electrolysis = energy * dedicated_electrolyser_energy / kWh_to_kg\n",
    "    energy_after_pipeline = energy_after_electrolysis * H2_pipeline_efficiency\n",
    "    hydrogen_onshore_per_year.append(energy_after_pipeline)\n",
    "\n",
    "# Calculate energy after DCAC converter and transportation onshore\n",
    "electricity_onshore_per_year = []\n",
    "for energy in wind_energy_production_per_year_after_cable_losses:\n",
    "    energy_after_DCAC = energy * dedicated_DCAC_energy * DCAC_efficiency\n",
    "    electricity_onshore_per_year.append(energy_after_DCAC)\n",
    "    \n",
    "#Calculate electricity after hydrogen conversion\n",
    "electricity_after_hydrogen_per_year = []\n",
    "for energy in hydrogen_onshore_per_year:\n",
    "    electricity_after_hydrogen = energy * 33.3* 0.5\n",
    "    electricity_after_hydrogen_per_year.append(electricity_after_hydrogen)\n",
    "\n",
    "# Print summed values\n",
    "total_hydrogen_onshore = sum(hydrogen_onshore_per_year)\n",
    "total_electricity_onshore = sum(electricity_onshore_per_year)\n",
    "total_hydrogen_converted_to_electricity_onshore = sum(electricity_after_hydrogen_per_year)\n",
    "print(\"Total hydrogen onshore: {:.2f} kg hydrogen\".format(total_hydrogen_onshore))\n",
    "print(\"Total electricity onshore: {:.2f} kWh\".format(total_electricity_onshore))\n",
    "print(\"Total hydrogen converted to electricity onshore: {:.2f} kWh\".format(total_hydrogen_converted_to_electricity_onshore))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1109,
   "id": "a3c17c9e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Annual wind energy generated: 94608000000.0 MJ\n",
      "Annual wind energy after inter-array cable losses: 93661920000.0 MJ\n",
      "Annual wind energy after AC cable losses: 88978824000.0 MJ\n",
      "Annual wind energy after HVDC cable losses: 82305412200.0 MJ\n",
      "Annual produced hydrogen offshore after electrolysis losses: 19451512416.6 MJ\n",
      "Annual produced hydrogen onshore after pipeline losses: 19451512416.6 MJ\n",
      "Annual electricity onshore after DCAC converter losses: 51852409686.0 MJ\n",
      "74.3397455625\n"
     ]
    }
   ],
   "source": [
    "total_annual_wind_production = (wind_energy_production_per_year_park1 + wind_energy_production_per_year_park2) * 3.6\n",
    "print(\"Annual wind energy generated: {} MJ\".format(total_annual_wind_production))\n",
    "total_annual_wind_production_kwh = (wind_energy_production_per_year_park1 + wind_energy_production_per_year_park2)\n",
    "total_electrolyser_energy = total_annual_wind_production_kwh * inter_array_cable_efficiency * DC_collection_cable_efficiency * HVDC_cable_efficiency * dedicated_electrolyser_energy\n",
    "total_electrolyser_energy_MJ = total_electrolyser_energy * 3.6\n",
    "\n",
    "energy_after_inter_array = total_annual_wind_production * inter_array_cable_efficiency\n",
    "print(\"Annual wind energy after inter-array cable losses: {} MJ\".format(energy_after_inter_array))\n",
    "\n",
    "energy_after_DC = energy_after_inter_array * DC_collection_cable_efficiency\n",
    "print(\"Annual wind energy after AC cable losses: {} MJ\".format(energy_after_DC))\n",
    "\n",
    "energy_after_HVDC = energy_after_DC * HVDC_cable_efficiency\n",
    "print(\"Annual wind energy after HVDC cable losses: {} MJ\".format(energy_after_HVDC))\n",
    "\n",
    "hydrogen_kg = (total_electrolyser_energy) / kWh_to_kg\n",
    "hydrogen_kg_MJ = hydrogen_kg * 141.8\n",
    "print(\"Annual produced hydrogen offshore after electrolysis losses: {:.1f} MJ\".format(hydrogen_kg_MJ))\n",
    "\n",
    "hydrogen_onshore_MJ = hydrogen_kg_MJ * H2_pipeline_efficiency\n",
    "print(\"Annual produced hydrogen onshore after pipeline losses: {:.1f} MJ\".format(hydrogen_kg_MJ))\n",
    "\n",
    "electricity_energy_onshore = (energy_after_HVDC * dedicated_DCAC_energy * DCAC_efficiency) \n",
    "print(\"Annual electricity onshore after DCAC converter losses: {:.1f} MJ\".format(electricity_energy_onshore))\n",
    "\n",
    "efficiency = ((hydrogen_onshore_MJ + electricity_energy_onshore) / total_annual_wind_production)*100\n",
    "print(efficiency)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1110,
   "id": "7402030c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\W5G\\AppData\\Local\\Temp\\ipykernel_16768\\3755728134.py:12: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax.set_xticklabels(x_labels, fontsize=14)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Define data\n",
    "x_labels = ['Wind energy generated', 'After inter-array cable losses', 'After AC cable losses', 'After HVDC cable losses', 'Hydrogen offshore after electrolysis losses', 'Hydrogen onshore after pipeline losses', 'Electricity onshore after DCAC converter losses']\n",
    "y_values = [total_annual_wind_production, energy_after_inter_array, energy_after_DC, energy_after_HVDC, hydrogen_kg_MJ, hydrogen_onshore_MJ, electricity_energy_onshore]\n",
    "\n",
    "# Plot bar chart\n",
    "fig, ax = plt.subplots(figsize=(14, 6))\n",
    "ax.yaxis.grid(True, linestyle='--', which='major', color='grey', alpha=.25)\n",
    "ax.bar(x_labels, y_values, color='red')\n",
    "ax.set_xlabel('Steps', fontsize = 18)\n",
    "ax.set_xticklabels(x_labels, fontsize=14)\n",
    "ax.set_ylabel('Energy (MJ)', fontsize=18)\n",
    "ax.tick_params(axis='y', labelsize=14)\n",
    "ax.set_title('Annual Energy Production after Losses - Scenario 3\\n Wind park 180 km, island 150 km (offshore)\\n W2H| (30%) - W2|E (70%) - PD30 - WC12', fontsize=20)\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "    \n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1126,
   "id": "0a69fe84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "loss_inter_array = 100 - (energy_after_inter_array / total_annual_wind_production * 100)\n",
    "loss_DC_collection = 100 - (energy_after_DC / energy_after_inter_array * 100)\n",
    "loss_HVDC = 100 - (energy_after_HVDC / energy_after_DC * 100)\n",
    "loss_electrolysis = 100 - (hydrogen_kg_MJ / total_electrolyser_energy_MJ * 100)\n",
    "loss_pipeline = 100 - (hydrogen_onshore_MJ / hydrogen_kg_MJ * 100)\n",
    "loss_DCAC_converter = 100 - (electricity_energy_onshore / (energy_after_HVDC*dedicated_DCAC_energy) * 100)\n",
    "\n",
    "losses = [loss_inter_array, loss_DC_collection, loss_HVDC, loss_electrolysis, loss_pipeline, loss_DCAC_converter]\n",
    "labels = [\"Inter-array\\n cable loss\", \"AC collection\\n cable loss\", \"HVDC cable\\n loss\", \"Electrolysis\\n loss\", \"H2 Pipeline\\n loss\", \"DCAC\\n converter loss\"]\n",
    "colors = [\"red\", \"orange\", \"yellow\", \"green\", \"purple\", \"blue\"]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12,6))\n",
    "\n",
    "ax.bar(labels, losses, color=colors)\n",
    "\n",
    "for i, v in enumerate(losses):\n",
    "    ax.text(i, v + 1, str(round(v, 1)) + \"%\", fontsize=12, ha='center')\n",
    "\n",
    "ax.set_ylim(0, 100)\n",
    "ax.set_ylabel(\"Losses (%)\")\n",
    "ax.set_title(\"Energy Losses - Scenario 3 \\n Wind park 100 km, island 70 km (offshore) \\n W2H| - W2|E - PD30 - WC6\", fontsize=18)\n",
    "ax.yaxis.grid(True, linestyle='--', which='major', color='grey', alpha=.25)\n",
    "plt.xticks(fontsize=16)\n",
    "plt.yticks(fontsize=16)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1112,
   "id": "8d7dffc2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Net Present Value hydrogen: 1010615948.98 kg\n",
      "Net Present Value electricity: 111699657518.66 kWh\n",
      "Net Present Value hydrogen converted to electricity onshore: 16826755550.49 kWh\n"
     ]
    }
   ],
   "source": [
    "WACC = WACC\n",
    "\n",
    "present_value_hydrogen = []\n",
    "for i, production in enumerate(hydrogen_onshore_per_year):\n",
    "    pv = production * (1 / ((1 + WACC) ** (startyear+i - escalation_base_year)))\n",
    "    present_value_hydrogen.append(pv)\n",
    "    \n",
    "npv_hydrogen = sum(present_value_hydrogen)\n",
    "print(\"Net Present Value hydrogen: {:.2f} kg\".format(npv_hydrogen))\n",
    "\n",
    "present_value_electricity = []\n",
    "for i, production in enumerate(electricity_onshore_per_year):\n",
    "    pv = production * (1 / ((1 + WACC) ** (startyear+i - escalation_base_year)))\n",
    "    present_value_electricity.append(pv)\n",
    "    \n",
    "npv_electricity = sum(present_value_electricity)\n",
    "print(\"Net Present Value electricity: {:.2f} kWh\".format(npv_electricity))\n",
    "\n",
    "present_value_electricity_after_hydrogen = []\n",
    "for i, production in enumerate(electricity_after_hydrogen_per_year):\n",
    "    pv = production * (1 / ((1 + WACC) ** (startyear+i - escalation_base_year)))\n",
    "    present_value_electricity_after_hydrogen.append(pv)\n",
    "    \n",
    "npv_electricity_after_hydrogen = sum(present_value_electricity_after_hydrogen)\n",
    "print(\"Net Present Value hydrogen converted to electricity onshore: {:.2f} kWh\".format(npv_electricity_after_hydrogen))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1113,
   "id": "2820badd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9163022566.148106\n"
     ]
    }
   ],
   "source": [
    "total_cost = final_npv_sum*-1            # EU\n",
    "\n",
    "total_cost_hydrogen = data_hydrogen\n",
    "print(total_cost_hydrogen)\n",
    "\n",
    "total_cost_electricity = data_electricity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1114,
   "id": "355ab33f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LCOH: 9.07 EU/kg\n",
      "LCOH2: 0.54 EU/kWh\n",
      "LCOE: 0.1585 EU/kWh\n",
      "Levelised Cost of Total Energy (LCOTE): 0.05 EU/MJ\n"
     ]
    }
   ],
   "source": [
    "LCOH = total_cost_hydrogen / npv_hydrogen\n",
    "LCOH2 = total_cost_hydrogen / npv_electricity_after_hydrogen\n",
    "LCOE = total_cost_electricity / npv_electricity\n",
    "\n",
    "npv_hydrogen_energy_produced = npv_hydrogen * 141.800 #MJ / kg\n",
    "npv_electricity_energy_produced = npv_electricity * 3.600 #MJ / kWh\n",
    "\n",
    "LCOTE = total_cost / (npv_hydrogen_energy_produced + npv_electricity_energy_produced)\n",
    "\n",
    "print('LCOH: {:.2f} EU/kg'.format(LCOH))\n",
    "\n",
    "print('LCOH2: {:.2f} EU/kWh'.format(LCOH2))\n",
    "\n",
    "print('LCOE: {:.4f} EU/kWh'.format(LCOE))\n",
    "\n",
    "print('Levelised Cost of Total Energy (LCOTE): {:.2f} EU/MJ'.format(LCOTE))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1115,
   "id": "b698bce4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SupplyChain efficiency: 74.34 %\n"
     ]
    }
   ],
   "source": [
    "total_wind_energy_production = sum(total_wind_energy_production_per_year)\n",
    "\n",
    "hydrogen_energy_produced = total_hydrogen_onshore * 141.8 #MJ / kg\n",
    "electricity_energy_produced = total_electricity_onshore * 3.6 #MJ / kWh\n",
    "\n",
    "electrical_energy_input = total_wind_energy_production * 3.6 #MJ / kWh\n",
    "\n",
    "SupplyChain_efficiency = (hydrogen_energy_produced + electricity_energy_produced) / electrical_energy_input \n",
    "\n",
    "print('SupplyChain efficiency: {:.2f} %'.format(SupplyChain_efficiency*100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1116,
   "id": "83bce454",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mTotal cost (NPV): 26.86 billion EUR\n",
      "LCOH: 9.07 EUR / kg\n",
      "LCOH2: 0.54 EUR / kWh\n",
      "LCOE: 0.16 EUR / kWh\n",
      "Levelised Cost of Total Energy (LCOTE): 0.05 EUR / MJ\n",
      "Supply Chain efficiency: 74.34 %\n"
     ]
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(16, 10), subplot_kw=dict(aspect=\"equal\"))\n",
    "\n",
    "def func(pct, allvals):\n",
    "    absolute = int(np.round(pct/100.*np.sum(allvals)))\n",
    "    rounded_pct = round(pct, 2)\n",
    "    if rounded_pct == 0:\n",
    "        return \"\"\n",
    "    return f\"{rounded_pct:.1f}%\"\n",
    "\n",
    "wedges, texts, autotexts = ax.pie(data, autopct=lambda pct: func(pct, data),\n",
    "                                  textprops=dict(color=\"w\"), radius=total_cost/50_000_000_000)\n",
    "\n",
    "ax.legend(wedges, labels,\n",
    "          title=\"Components\",\n",
    "          loc=\"center left\",\n",
    "          bbox_to_anchor=(1.2, 0.5),\n",
    "          fontsize=15)\n",
    "\n",
    "plt.setp(autotexts, size=15, weight=\"bold\")\n",
    "\n",
    "title = ax.set_title(\"Cost diagram - Scenario 3 \\n Wind park 180 km, island 150 km (offshore) \\n W2H| (30%) - W2|E (70%) - PD30 - WC12 / C(D, P, IC, R) - O(Y, I, D) - E - DCF\", fontsize=20)\n",
    "\n",
    "plt.show()\n",
    "\n",
    "cost_in_billions = total_cost / 1_000_000_000\n",
    "print(f\"{BOLD}Total cost (NPV): {cost_in_billions:.2f} billion EUR\")\n",
    "print(f\"LCOH: {LCOH:.2f} EUR / kg\")\n",
    "print(f\"LCOH2: {LCOH2:.2f} EUR / kWh\")\n",
    "print(f\"LCOE: {LCOE:.2f} EUR / kWh\")\n",
    "print('Levelised Cost of Total Energy (LCOTE): {:.2f} EUR / MJ'.format(LCOTE))\n",
    "print('Supply Chain efficiency: {:.2f} %'.format(SupplyChain_efficiency*100))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e7dbe79",
   "metadata": {},
   "source": [
    "##### 6 - Revenues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1117,
   "id": "4dac309b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# make df_combined again (only cashflows no npv yet)\n",
    "df_combined=combine_cashflow_dataframes([Foundation.df, Foundation2.df, Turbine.df, Turbine2.df, ACStation.df, DCCollectionCable.df, HVDCConverter.df, HVDCCable.df, HVDCCable2.df, Electrolyser.df, DesalinationUnit.df, CompressorUnit.df, StorageUnit.df, CompressorAfterStorage.df, DCACConverter.df, ArtificialIsland.df, H2Pipeline.df])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1118,
   "id": "e9d916d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a set of escalation years and values\n",
    "escalation_years = []\n",
    "escalation_values = []\n",
    "previous = 1\n",
    "for index, year in enumerate(list(range(escalation_base_year, escalation_base_year + lifecycle + 1))):\n",
    "    previous = previous * (1 + escalation_rate)\n",
    "    escalation_years.append(year)    \n",
    "    escalation_values.append(previous)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1119,
   "id": "d9b13815",
   "metadata": {},
   "outputs": [],
   "source": [
    "# create list of revenue years\n",
    "revenue_years = list(range(startyear, endyear+1))\n",
    "\n",
    "# calculate revenues for both electricity and hydrogen\n",
    "electricity_revenue_value_per_year = [energy * electricity_price for energy in electricity_onshore_per_year]\n",
    "hydrogen_revenue_value_per_year = [energy * hydrogen_price for energy in hydrogen_onshore_per_year]\n",
    "\n",
    "# create a list of the combined electricity and hydrogen revenue values (summed)\n",
    "revenue_values = []\n",
    "for e, h in zip(electricity_revenue_value_per_year, hydrogen_revenue_value_per_year):\n",
    "    revenue_values.append(e + h)\n",
    "\n",
    "# escalate the combined electricity and hydrogen revenue values\n",
    "for i, revenue_year in enumerate(revenue_years):\n",
    "            revenue_values[i] = revenue_values[i] * escalation_values[\n",
    "                [index for index, escalation_year in enumerate(escalation_years) if\n",
    "                 escalation_year == revenue_year][0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1120,
   "id": "8479f622",
   "metadata": {},
   "outputs": [],
   "source": [
    "# add the escalated combined electricity and hydrogen revenue values to df_combined\n",
    "for i, revenue_year in enumerate(revenue_years):\n",
    "    df_combined.loc[revenue_year, 'revenue'] = revenue_values[i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1121,
   "id": "b29d7ffa",
   "metadata": {},
   "outputs": [],
   "source": [
    "# calculate the npv values\n",
    "df_combined_npv = calculate_npv(df_combined, 2030, WACC=WACC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1122,
   "id": "9230bb70",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Internal Rate of Return (IRR): 13.07%\n"
     ]
    }
   ],
   "source": [
    "import numpy_financial as npf\n",
    "\n",
    "# Calculate the NPV of the cash flows\n",
    "df_combined_npv = calculate_npv(df_combined, 2030, WACC=WACC)\n",
    "\n",
    "# Extract the cash flows from the DataFrame and convert to a one-dimensional array\n",
    "cash_flows = df_combined_npv['cashflow'].values\n",
    "\n",
    "# Calculate the internal rate of return (IRR)\n",
    "irr = npf.irr(cash_flows)\n",
    "\n",
    "# Convert the IRR to a string with two decimal places\n",
    "irr_str = \"{:.2f}%\".format(irr * 100)\n",
    "\n",
    "# Print the IRR\n",
    "print(\"Internal Rate of Return (IRR): {:.2%}\".format(irr))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1123,
   "id": "fa090c47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot\n",
    "create_npv_plot(df_combined_npv, title='Scenario 3 with revenues\\n Wind park 180 km, island 150 km (offshore) \\n W2H| (30%) - W2|E (70%) - PD30 - WC12 / C(D, P, IC, R) - O(Y, I, D) - E - DCF\\nIRR= ' + irr_str )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1124,
   "id": "d718a3bd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6.575185838246489\n"
     ]
    }
   ],
   "source": [
    "final_npv_sum_revenue = df_combined_npv['npv_sum'].iloc[-1]\n",
    "print(final_npv_sum_revenue/1000000000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1125,
   "id": "bac4c04a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# Define the distribution parameters\n",
    "mu = 0 # mean\n",
    "sigma = 1 # standard deviation\n",
    "\n",
    "# Generate the distribution values\n",
    "x = np.linspace(mu - 3*sigma, mu + 3*sigma, 100)\n",
    "y = 1/(sigma*np.sqrt(2*np.pi))*np.exp(-(x-mu)**2/(2*sigma**2))\n",
    "\n",
    "# Convert y values to percentage\n",
    "y_percent = y * 100\n",
    "\n",
    "# Create the plot\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(x, y_percent)\n",
    "\n",
    "# Add mean and standard deviation lines\n",
    "ax.axvline(mu, linestyle='--', color='b', label='Mean')\n",
    "ax.axvline(mu-sigma, linestyle=':', color='g', label='Standard deviation')\n",
    "ax.axvline(mu+sigma, linestyle=':', color='g')\n",
    "\n",
    "# Add legend and axis labels\n",
    "plt.xlabel('Value')\n",
    "plt.ylabel('Probability (%)')\n",
    "plt.title('Gaussian Distribution')\n",
    "plt.legend(loc='upper left', bbox_to_anchor=(1, 1.02), borderaxespad=1)\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "928bfba5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}