{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "from notepad import WaterStorage, Heatpump\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Developments steps to take: \n",
    "* Test the WaterStorage\n",
    "* Create some example for WaterStorage\n",
    "* Define interactions WaterStorage <> Heatpump\n",
    "* Create some example for WaterStorage + Heatpump\n",
    "* Develop the interactions --> Create working examples"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## WaterStorage"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Functional requirements for the WaterStorage:\n",
    "* Given:      \n",
    "    * Size / capacity\n",
    "    * Temperature in/out\n",
    "    * Max power\n",
    "    * Roundtripp efficiency\n",
    "* It should be able to execute commands, like: \n",
    "    * Charge\n",
    "    * Discharge\n",
    "    * Whats the storage level? \n",
    "    * Assign financials    \n",
    "    * Take into account storage losses (time dependent)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "__init__() got an unexpected keyword argument 'max_storagelevel'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32mC:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_3084/3609036661.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m waterstorage = WaterStorage(\n\u001b[0m\u001b[0;32m      2\u001b[0m     \u001b[0mname\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'MyStorage'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m     \u001b[0mmax_power\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m     \u001b[0mmin_power\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m     \u001b[0mroundtrip_eff\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0.90\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: __init__() got an unexpected keyword argument 'max_storagelevel'"
     ]
    }
   ],
   "source": [
    "waterstorage = WaterStorage(\n",
    "    name='MyStorage',\n",
    "    max_power=10,\n",
    "    min_power=-10,\n",
    "    roundtrip_eff=0.90,\n",
    "    energy_density = 50 * 1e-3,\n",
    "    volume = 1000,\n",
    "    lifetime = 25,\n",
    "    temperature = 368, #K\n",
    "    min_storagelevel = 5,\n",
    "    max_storagelevel = 45\n",
    "    \n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "waterstorage.set_freq('15T')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "waterstorage.set_storagelevel(5)\n",
    "waterstorage.storagelevel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "160.0"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "waterstorage.charging_power_limit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "100.0"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "waterstorage.charge(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bounded_energy 15.0\n",
      "new_cl 45.0\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "60.0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "waterstorage.charge(300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "45.0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "waterstorage.storagelevel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# waterstorage.charge(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bounded_energy 40.0\n",
      "new_cl 5.0\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "160.0"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "waterstorage.discharge(200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "Tsink = 413 #K\n",
    "Tsource = 333 #K\n",
    "Tref = 273 #K\n",
    "hp_capacity = 31 #MW\n",
    "demand = 25 #MW\n",
    "Cp = 4190  #J/kgK\n",
    "MW_to_J_per_s = 1000_000\n",
    "hp_capacity *= MW_to_J_per_s\n",
    "demand *= MW_to_J_per_s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "52.84691442209342"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def hp_mass_flow (hp_capacity, Tsink, Tref, Cp):\n",
    "    return hp_capacity /(Cp*(Tsink - Tref)) \n",
    "hp_mass_flow = hp_mass_flow (hp_capacity, Tsink, Tref, Cp)\n",
    "hp_mass_flow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "42.61847937265598"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def process_mass_flow (demand, Tsink, Tref, Cp):\n",
    "    return demand /(Cp*(Tsink - Tref)) \n",
    "process_mass_flow = process_mass_flow (demand, Tsink, Tref, Cp)\n",
    "process_mass_flow\n",
    "# What would be the difference here with using equation or a function?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.0000001202836994"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# charge_mass_flow = 49.874963 - 40.221745\n",
    "charged_heat = (10.084152 * Cp * (142.003109- 0)) / MW_to_J_per_s\n",
    "charged_heat\n",
    "# 1st simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13.566135179639064"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "discharged_heat = 6.0000001202836994*efficiency\n",
    "discharge_mass_flow = discharged_heat * MW_to_J_per_s /(Cp*(95 - 0))\n",
    "discharge_mass_flow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.000000181313592"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "charged_heat = (9.653219 * Cp * (148.342325- 0)) / MW_to_J_per_s\n",
    "charged_heat\n",
    "# 10th simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13.566135317629023"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "discharged_heat = 6.000000181313592*efficiency\n",
    "discharge_mass_flow = discharged_heat * MW_to_J_per_s /(Cp*(95 - 0))\n",
    "discharge_mass_flow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "charge_mass_flow = hp_mass_flow - process_mass_flow\n",
    "charged_heat = (charge_mass_flow * Cp * (Tsink - Tref)) / MW_to_J_per_s\n",
    "charged_heat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13.566134907674918"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "efficiency = 0.9\n",
    "Tstorage = 95 + 273\n",
    "discharged_heat = charged_heat * efficiency  #MW\n",
    "discharged_heat *= MW_to_J_per_s \n",
    "discharge_mass_flow = discharged_heat /(Cp*(Tstorage - Tref))\n",
    "discharge_mass_flow\n",
    "\n",
    "# energy is balanced here, mass in is smaller than mass out meaning that there should be extra inlet to ensure the water level\n",
    "#This energy loss is because storage is charged with high temperature and discharged with low.\n",
    "# heat loss can be neglected assuming that storage is well-insulated."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13.566135179639064"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "discharged_heat = 6.0000001202836994 * efficiency  #MW\n",
    "discharged_heat *= MW_to_J_per_s \n",
    "discharge_mass_flow = discharged_heat /(Cp*(Tstorage - Tref))\n",
    "discharge_mass_flow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# new_Tsource =  (Tstorage * discharge_mass_flow + Tsource * process_mass_flow) / (discharge_mass_flow + process_mass_flow)\n",
    "# new_Tsource"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# COP_new = Tsink / (Tsink - new_Tsource)\n",
    "# COP_new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['name', 'id', 'max_power', 'min_power', 'modes', 'roundtrip_eff', 'volume', 'lifetime', 'temperature', 'energy_density', 'max_storage_capacity', 'max_storagelevel', 'min_storagelevel', 'freq', 'time_factor', 'storagelevel'])"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "waterstorage.__dict__.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "50.0"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# max_storage_capacity is in MWh and it should inherit MWh to MW conversion from Assets\n",
    "# MW = MWh / self.time_factor\n",
    "waterstorage.max_storage_capacity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "def COP_calculation(Tsink, Tsource):\n",
    "    return Tsink / (Tsink - Tsource)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy.polynomial import Polynomial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cop_curve(Tsink, Tsource):\n",
    "    c0 = Tsink / (Tsink - Tsource)  \n",
    "    return Polynomial([c0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$x \\mapsto \\text{10.0} + \\text{5.0}\\,x + \\text{3.0}\\,x^{2}$"
      ],
      "text/plain": [
       "Polynomial([10.,  5.,  3.], domain=[-1,  1], window=[-1,  1])"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Polynomial([10, 5, 3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-9.685230024213075, 50)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#create an heat pump object\n",
    "\n",
    "heatpump = Heatpump(\"heatpump1\", 50, cop_curve, 10)\n",
    "heatpump.set_heat_output(50, Tsource=333, Tsink=413)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.1625"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "heatpump.get_cop(50, Tsource=333, Tsink=413)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "def test_heatpump_and_waterstorage_system(Tsink, Tsource, process_demand_MW, e_price, waterstorage_level):\n",
    "    \"\"\"\n",
    "    1. Follow a certain logic based on given price:\n",
    "        - If price is low --> Heatpump at full power, and charge the heatbuffer\n",
    "        - If price is high --> Discharge the heat buffer, and increase Tsource, which will increase COP\n",
    "    2. Above logic should adhere to a couple of constraints:\n",
    "        - Storage levels\n",
    "        - Capacity of the heat pump \n",
    "        - Process demand\n",
    "        - ....\n",
    "    3. This function should contain: \n",
    "        - Heat pump \n",
    "        - Water storage\n",
    "        - Interactions / logic between them\n",
    "    4. Output of the function:\n",
    "        - Power of the heatpump \n",
    "        - \"New\" water storage level\n",
    "    \"\"\"\n",
    "    waterstorage.storage_level = waterstorage_level\n",
    "    \n",
    "    if e_price < 50:\n",
    "        hp_load = heatpump.max_th_power #bunu yoxla heat pump-a birbasa set load demek olmur. Ve funksiyada heatpump obyekti var ama o evvel initialize olunmayib\n",
    "        energy_to_storage = hp_load - process_demand_MW\n",
    "        waterstorage.charge(energy_to_storage)\n",
    "        waterstorage.charged_energy = waterstorage.MW_to_MWh(energy_to_storage)\n",
    "        waterstorage_level = waterstorage.storage_level\n",
    "        new_cl = waterstorage.storage_level + waterstorage.charged_energy\n",
    "    if e_price > 100:\n",
    "        energy_from_storage = discharged_heat\n",
    "        waterstorage_level = waterstorage.storage_level\n",
    "        waterstorage.discharged_energy = waterstorage.MW_to_MWh(energy_from_storage)\n",
    "        new_cl = waterstorage.storage_level - waterstorage.discharged_energy\n",
    "        def Tsource_calculation(Tstorage, discharge_mass_flow, Tsource, process_mass_flow):\n",
    "            return (\n",
    "                (Tstorage * discharge_mass_flow + Tsource * process_mass_flow)\n",
    "                / (discharge_mass_flow + process_mass_flow)\n",
    "            )\n",
    "        new_Tsource = Tsource_calculation(Tstorage, discharge_mass_flow, Tsource, process_mass_flow)\n",
    "\n",
    "        new_COP = COP_calculation (Tsink, new_Tsource)\n",
    "        hp_load = heatpump.set_heat_output(process_demand_MW, new_COP) #bu da hemcinin set load assetin funksiyasidir, \n",
    "        #heatpump da overwrite edilib. men evezinde yazdim ki set_heat_output\n",
    "        #sen gor hansi funksiya sene lazimdir.\n",
    "\n",
    "    return hp_load, waterstorage_level\n",
    "    # return new_COP, new_cl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "unsupported operand type(s) for -: 'float' and 'NoneType'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32mC:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_3084/1644856237.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m test_heatpump_and_waterstorage_system(\n\u001b[0m\u001b[0;32m      2\u001b[0m     \u001b[0mTsink\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m140\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m273\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m     \u001b[0mTsource\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m60\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m273\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m     \u001b[0mprocess_demand_MW\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m25\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m     \u001b[0me_price\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m150\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_3084/1116608474.py\u001b[0m in \u001b[0;36mtest_heatpump_and_waterstorage_system\u001b[1;34m(Tsink, Tsource, process_demand_MW, e_price, waterstorage_level)\u001b[0m\n\u001b[0;32m     39\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     40\u001b[0m         \u001b[0mnew_COP\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mCOP_calculation\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mTsink\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnew_Tsource\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 41\u001b[1;33m         \u001b[0mhp_load\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mheatpump\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_heat_output\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprocess_demand_MW\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnew_COP\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m#bu da hemcinin set load assetin funksiyasidir,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     42\u001b[0m         \u001b[1;31m#heatpump da overwrite edilib. men evezinde yazdim ki set_heat_output\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     43\u001b[0m         \u001b[1;31m#sen gor hansi funksiya sene lazimdir.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\python\\Encore\\notepad.py\u001b[0m in \u001b[0;36mset_heat_output\u001b[1;34m(self, heat_output, Tsink, Tsource)\u001b[0m\n\u001b[0;32m    325\u001b[0m             \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34mf\"Tsource '{Tsource}' can not be higher than '{Tsink}'.\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    326\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 327\u001b[1;33m         \u001b[0mcop\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_cop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mheat_output\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mheat_output\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mTsink\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mTsink\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mTsource\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mTsource\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    328\u001b[0m         \u001b[0me_load\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m-\u001b[0m\u001b[0mheat_output\u001b[0m \u001b[1;33m/\u001b[0m \u001b[0mcop\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    329\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0me_load\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mheat_output\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\python\\Encore\\notepad.py\u001b[0m in \u001b[0;36mget_cop\u001b[1;34m(self, heat_output, Tsink, Tsource)\u001b[0m\n\u001b[0;32m    293\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mcop_curve\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    294\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 295\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mcop_curve\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mTsink\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mTsink\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mTsource\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mTsource\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mload_perc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    296\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    297\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mth_to_el_power\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mheat_output\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mTsink\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mTsource\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_3084/2005226421.py\u001b[0m in \u001b[0;36mcop_curve\u001b[1;34m(Tsink, Tsource)\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mcop_curve\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mTsink\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mTsource\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m     \u001b[0mc0\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mTsink\u001b[0m \u001b[1;33m/\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mTsink\u001b[0m \u001b[1;33m-\u001b[0m \u001b[0mTsource\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mPolynomial\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mc0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for -: 'float' and 'NoneType'"
     ]
    }
   ],
   "source": [
    "test_heatpump_and_waterstorage_system(\n",
    "    Tsink = 140+273, \n",
    "    Tsource = 60+273, \n",
    "    process_demand_MW = 25, \n",
    "    e_price = 150, \n",
    "    waterstorage_level = 5\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Expected behaviour: \n",
    "    # hp_heat_output == demand\n",
    "    # hp source temparture > than before\n",
    "    # waterstorage_level < than before\n",
    "    # hp cop > higher than before\n",
    "hp_load"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## WaterStorage + Heatpump system"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Functional requirements for the WaterStorage + Heatpump system:\n",
    "1. Goal (Funtional requirements): \n",
    "    * Given (context)\n",
    "    * price (forecast), \n",
    "    * source and sink temperature (provided by process), \n",
    "    * process heat demand, \n",
    "    * storage level of the water storage (temperature level)\n",
    "* I want to know:\n",
    "    * Heat output from the heatpump (in MW)\n",
    "    * New storage level / temperature level\n",
    "    * Electricity consumption of the heatpump"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Previous examples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# def hp_mass_flow (hp_capacity, Tsink, Tref, Cp):\n",
    "#     return hp_capacity /(Cp*(Tsink - Tref)) \n",
    "# hp_mass_flow (31_000_000, 413, 273, 4190)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# def process_mass_flow (demand, Tsink, Tref, Cp):\n",
    "#     return demand /(Cp*(Tsink - Tref)) \n",
    "# process_mass_flow (25_000_000, 413, 273, 4190)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# charge_mass_flow = 52 - 42 #should be written as function\n",
    "# def charge_heat (charge_mass_flow, Cp, Tsink, Tref, MW_to_J_per_s):\n",
    "#     return (charge_mass_flow * Cp * (Tsink - Tref)) / MW_to_J_per_s\n",
    "# charge_heat (10, 4190, 413, 273, 1000_000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Tsource_new = (discharge_mass_flow * T_discharge + Tsource * source_mass_flow) / (discharge_mass_flow + source_mass_flow)\n",
    "Tsource_new = (13 * 95 + 60*42) / (13+42)\n",
    "Tsource_new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# chargelevel = self.chargelevel\n",
    "# max_charging = chargelevel - self.max_chargelevel\n",
    "# max_discharging = chargelevel - self.min_chargelevel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Funtionality: Set the storage level\n",
    "waterstorage.storagelevel = 15\n",
    "waterstorage.max_storagelevel = 23.2\n",
    "waterstorage.min_storagelevel = 5\n",
    "# waterstorage.max_charging = waterstorage.max_storagelevel - waterstorage.storagelevel\n",
    "# waterstorage.max_discharging = waterstorage.max_storagelevel - waterstorage.min_storagelevel\n",
    "waterstorage.max_discharging"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Functionality: Charge the storage\n",
    "waterstorage.storage_level = 15\n",
    "waterstorage.charge = 5\n",
    "waterstorage.storage_level += waterstorage.charge\n",
    "waterstorage.storage_level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Functionality: Discharge the storage\n",
    "waterstorage.storage_level = 15\n",
    "waterstorage.discharge = 4\n",
    "waterstorage.storage_level -= waterstorage.discharge\n",
    "waterstorage.storage_level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# rng = pd.date_range('2018-11-01 00:00:00', end='2018-11-01 12:00:00', freq='15T' )\n",
    "\n",
    "# price_data = pd.DataFrame(np.random.randint(30, 110, size=(len(rng))), \n",
    "#                   columns=['ForeNeg'], \n",
    "#                   index=rng)\n",
    "\n",
    "# price_data['ForePos'] = np.random.randint(20, 50, size=(len(rng)))\n",
    "\n",
    "# price_data.head()"
   ]
  }
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