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"cells": [
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"cell_type": "markdown",
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"source": [
"#### Imports"
]
},
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"cell_type": "code",
"execution_count": 1,
"metadata": {
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"outputs": [
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"data": {
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" \n",
" "
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"output_type": "display_data"
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],
"source": [
"from datetime import timedelta\n",
"import json\n",
"import pprint\n",
"from copy import deepcopy\n",
"\n",
"import cufflinks\n",
"cufflinks.go_offline()\n",
"import numpy as np\n",
"from numpy.polynomial import Polynomial\n",
"import pandas as pd\n",
"from tqdm.notebook import tqdm\n",
"\n",
"from pyrecoy.assets import Heatpump, Eboiler, GasBoiler, HotWaterStorage\n",
"from pyrecoy.colors import *\n",
"from pyrecoy.converters import *\n",
"from pyrecoy.financial import calculate_eb_ode, get_tax_tables, get_tax_rate, get_grid_tariffs_electricity\n",
"from pyrecoy.framework import TimeFramework\n",
"from pyrecoy.casestudy import CaseStudy\n",
"from pyrecoy.plotting import ebitda_bar_chart, npv_bar_chart\n",
"from pyrecoy.reports import CaseReport, ComparisonReport, BusinessCaseReport, SingleFigureComparison\n",
"from pyrecoy.sensitivity import SensitivityAnalysis\n",
"from pyrecoy.prices import get_tennet_data, get_afrr_capacity_fees_nl\n",
"from pyrecoy.forecasts import Mipf\n",
"\n",
"%load_ext autoreload\n",
"%autoreload 2"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [
"exclude"
]
},
"source": [
"#### Development backlog"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [
"exclude"
]
},
"source": [
"* aFRR (can improve the optimisation case)\n",
"* Report\n",
"\n",
"--\n",
"* Create strategy on imbalance POS (buy 100% day-ahead, and respond to high prices)\n",
"* Graphs\n",
" * EBITDA vs. baseline (earnings vs baseline)\n",
"* Show COP curves in different cases, just for illustration\n",
"* Energy report --> Check + add gas\n",
"* Fix comparison reports\n",
"* Model verification"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [
"exclude"
]
},
"source": [
"#### Meeting Notes"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [
"exclude"
]
},
"source": [
"##### Meeting 25-11-2020"
]
},
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"cell_type": "markdown",
"metadata": {
"tags": [
"exclude"
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},
"source": [
"* aFRR can help optimisation case\n",
"* SDE++ should be included\n",
"* Tsource sensitivity really gives interesting insights\n",
"* Sensitivities should be verified (especially CO2, Tsink, Tsource, time period)\n",
"* AP TNO: Update/verify COP curve\n",
"* AP TNO: Update CAPEX\n",
"* AP Mark: \n",
" * Create graphs on COP curve with different Tsource, Tsink\n",
" * Generate table and output in .csv (send it to Andrew)\n",
"* Investigate opportunity to lower the COP and negative electricity prices\n",
" * Technically feasible, but not really needed/possible to do it in this project\n",
"* Could be interesting to run this model on a usecase with higher delta T\n",
"* Conclusion: Finalize this model, but not add too much extra complexity, next steps is to go towards industrial partners with the results"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [
"exclude"
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"source": [
"# ENCORE : Heatpump Optimisation Framework\n",
"\n",
"***\n",
"© Mark Kremer \n",
"July 2020\n",
"##### Cases\n",
"In this model, 3 cases are compared:\n",
"* **Baseline** : All heat is supplied by steam turbine\n",
"* **Heatpump case** : All heat is supplied by heatpump\n",
"* **Hybrid case** : Steam turbine and heatpump run in hybrid mode, and are optimised on costs in real-time"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [
"exclude"
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},
"source": [
"#### Loading config"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"tags": [
"exclude"
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},
"outputs": [],
"source": [
"class Config():\n",
" start = '2019-01-01'\n",
" end = '2019-12-31'\n",
" \n",
" hp_vdg_e_power = 23.3 # MW\n",
" hp_ndg_e_power = 7.7 # MW\n",
" hp_min_load = 0\n",
" hp_lifetime = 25\n",
" hp_capex = 200_000 # EUR/MWth\n",
" hp_opex = 0.01 # in % of CAPEX\n",
" hp_devex = 0.005 # in % of CAPEX\n",
" \n",
" gb_power = 35 # MW\n",
" gb_efficiency = 0.9\n",
" \n",
" storage_power = 25\n",
" storage_volume = 1000\n",
" storage_cap_per_volume = 50 * 1e-3\n",
" storage_lifetime = 25\n",
" storage_temperature = 95\n",
" storage_min_level = storage_volume * storage_cap_per_volume * 0.05\n",
" storage_capex_per_MW = 7_000\n",
" storage_capex_per_MWh = 5_000\n",
" storage_opex_perc_of_capex = 0.02\n",
" # storage_initial_level = 5\n",
" threshold = 20\n",
" \n",
" tax_bracket_g = 4 \n",
" tax_bracket_e = 4\n",
" \n",
" include_transport_costs = False\n",
" grid_operator = 'Liander'\n",
" connection_type = 'TS/MS'\n",
" \n",
" discount_rate = 0.1\n",
" project_duration = 12\n",
"\n",
" forecast = 'ForeNeg'\n",
" gas_price_multiplier = 1\n",
" e_price_multiplier = 1\n",
" e_price_volatility_multiplier = 1\n",
" co2_price_multiplier = 1\n",
" tsource_delta = 0\n",
" tsink_delta = 0\n",
" energy_tax_multiplier = 1\n",
" \n",
" # Review the SDE implementation\n",
" sde_base_amount = 81\n",
" longterm_gas_price = 24.00\n",
" longterm_co2_price = 37.90\n",
" sde_switch_price_correction = 40\n",
" \n",
" day_ahead_buying_perc = 0.3\n",
" \n",
" afrr_capacity_fee = 25_000\n",
"\n",
"c = Config()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"tags": [
"exclude"
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},
"outputs": [],
"source": [
"class Store():\n",
" pass"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": [
"exclude"
]
},
"source": [
"## Model set-up"
]
},
{
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"execution_count": 4,
"metadata": {
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"exclude"
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"outputs": [],
"source": [
"def load_demand_data(c, s):\n",
" demand = pd.read_csv('data/smurfit_demand_preprocessed.csv', delimiter=';', decimal=',')\n",
" dt_index = pd.date_range(\n",
" start=s.time_fw.start,\n",
" end=s.time_fw.start + timedelta(days=365), freq='1T',\n",
" closed='left',\n",
" tz='Europe/Amsterdam')\n",
" demand.index = dt_index\n",
" demand['Total demand'] = demand['MW (VDG)'] + demand['MW (NDG)']\n",
" demand = demand[c.start:c.end]\n",
" return demand"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"s = Store()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"tags": [
"exclude"
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},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\users\\shahla huseynova\\recoy\\recoy - documents\\03 - libraries\\29 - pyrecoy modelling framework\\v1.2\\pyrecoy\\pyrecoy\\framework.py:40: UserWarning:\n",
"\n",
"The chosen timeperiod spans 365.99930555555557 days, which is not a full year. Beware that certain functions that use yearly rates might return incorrect values.\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Warning: Entries missing from dataset 'imbalanceRT_nl.csv'.\n",
"Issue solved: Dataset was reindexed automatically.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\SHAHLA~1\\AppData\\Local\\Temp/ipykernel_15752/332434720.py:3: FutureWarning:\n",
"\n",
"Argument `closed` is deprecated in favor of `inclusive`.\n",
"\n"
]
}
],
"source": [
"def setup_model(c):\n",
" s = Store()\n",
" \n",
" s.time_fw = TimeFramework(start=c.start, end=c.end)\n",
" mipf = Mipf(start=s.time_fw.start, end=s.time_fw.end, tidy=True, include_nextQ=True,\n",
" folder_path = r\"C:\\Users\\Shahla Huseynova\\Recoy\\Recoy - Documents\\03 - Libraries\\12 - Data Management\\Forecast Data\"\n",
" ).data\n",
" \n",
" s.baseline = CaseStudy(time_fw=s.time_fw, freq='1T', name='Baseline')\n",
" s.hpcase = CaseStudy(time_fw=s.time_fw, freq='1T', name='Heatpump only', data=mipf)\n",
" #s.hpcase_sde = CaseStudy(time_fw=s.time_fw, freq='1T', name='Heatpump + SDE', data=mipf)\n",
" #s.optcase1 = CaseStudy(time_fw=s.time_fw, freq='1T', name='Optimisation', data=mipf)\n",
" #s.afrr_case = CaseStudy(time_fw=s.time_fw, freq='1T', name='Optimisation + aFRR', data=mipf)\n",
" s.storage_case = CaseStudy(time_fw=s.time_fw, freq='1T', name='Heatpump + Storage', data=mipf)\n",
" \n",
" s.cases = list(CaseStudy.instances.values())\n",
" #s.optcases = [s.hpcase, s.hpcase_sde, s.optcase1, s.afrr_case]\n",
" s.optcases = [s.hpcase, s.storage_case]\n",
" #s.sde_cases = [s.hpcase_sde, s.optcase1, s.afrr_case]\n",
" s.sde_cases = []\n",
" \n",
" s.demand = load_demand_data(c, s)\n",
" return s\n",
"\n",
"s = setup_model(c)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
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"config": {
"linkText": "Export to plot.ly",
"plotlyServerURL": "https://plot.ly",
"showLink": true
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",
"text/html": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"s.demand.resample('15T').mean()[['Tsource (VDG)', 'Tsink (VDG)']].iplot()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" Tsource (VDG) | \n",
" Tsink (VDG) | \n",
" MW (VDG) | \n",
" Tsource (NDG) | \n",
" Tsink (NDG) | \n",
" MW (NDG) | \n",
" Total demand | \n",
"
\n",
" \n",
" \n",
" \n",
" | count | \n",
" 525600.000000 | \n",
" 525600.000000 | \n",
" 525600.000000 | \n",
" 525600.000000 | \n",
" 525600.000000 | \n",
" 525600.000000 | \n",
" 525600.000000 | \n",
"
\n",
" \n",
" | mean | \n",
" 63.658798 | \n",
" 138.637674 | \n",
" 17.636712 | \n",
" 62.176305 | \n",
" 145.351645 | \n",
" 5.823824 | \n",
" 23.460537 | \n",
"
\n",
" \n",
" | std | \n",
" 6.422773 | \n",
" 14.328580 | \n",
" 5.123252 | \n",
" 10.252555 | \n",
" 14.896056 | \n",
" 1.691697 | \n",
" 6.814125 | \n",
"
\n",
" \n",
" | min | \n",
" 25.310000 | \n",
" 82.480000 | \n",
" 0.000000 | \n",
" 13.540000 | \n",
" 106.330000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" | 25% | \n",
" 64.892000 | \n",
" 126.074000 | \n",
" 17.014000 | \n",
" 63.516000 | \n",
" 131.551500 | \n",
" 5.612000 | \n",
" 22.676000 | \n",
"
\n",
" \n",
" | 50% | \n",
" 64.991000 | \n",
" 142.450000 | \n",
" 19.892000 | \n",
" 64.313000 | \n",
" 148.490000 | \n",
" 6.540000 | \n",
" 26.441000 | \n",
"
\n",
" \n",
" | 75% | \n",
" 65.076000 | \n",
" 151.730000 | \n",
" 20.819000 | \n",
" 65.546000 | \n",
" 158.100000 | \n",
" 6.880000 | \n",
" 27.690000 | \n",
"
\n",
" \n",
" | max | \n",
" 70.070000 | \n",
" 166.020000 | \n",
" 23.250000 | \n",
" 73.470000 | \n",
" 172.050000 | \n",
" 7.650000 | \n",
" 30.900000 | \n",
"
\n",
" \n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" DAM | \n",
" POS | \n",
" NEG | \n",
" RS | \n",
" ForePos | \n",
" ForeNeg | \n",
" ForePos_nextQ | \n",
" ForeNeg_nextQ | \n",
" Gas prices (€/MWh) | \n",
" CO2 prices (€/ton) | \n",
" CO2 prices (€/MWh) | \n",
" Tsource (VDG) | \n",
" Tsink (VDG) | \n",
" MW (VDG) | \n",
" Tsource (NDG) | \n",
" Tsink (NDG) | \n",
" MW (NDG) | \n",
" Total demand | \n",
"
\n",
" \n",
" \n",
" \n",
" | 2019-01-01 00:00:00+01:00 | \n",
" 68.92 | \n",
" 34.85 | \n",
" 58.01 | \n",
" 2.0 | \n",
" 46.83 | \n",
" 52.70 | \n",
" NaN | \n",
" NaN | \n",
" 22.38 | \n",
" 24.98 | \n",
" 4.82 | \n",
" 64.990 | \n",
" 143.360 | \n",
" 0.0 | \n",
" 20.510 | \n",
" 147.620 | \n",
" 0.0 | \n",
" 0.0 | \n",
"
\n",
" \n",
" | 2019-01-01 00:01:00+01:00 | \n",
" 68.92 | \n",
" 34.85 | \n",
" 58.01 | \n",
" 2.0 | \n",
" 32.12 | \n",
" 54.45 | \n",
" NaN | \n",
" NaN | \n",
" 22.38 | \n",
" 24.98 | \n",
" 4.82 | \n",
" 64.985 | \n",
" 143.089 | \n",
" 0.0 | \n",
" 20.387 | \n",
" 147.642 | \n",
" 0.0 | \n",
" 0.0 | \n",
"
\n",
" \n",
" | 2019-01-01 00:02:00+01:00 | \n",
" 68.92 | \n",
" 34.85 | \n",
" 58.01 | \n",
" 2.0 | \n",
" 30.97 | \n",
" 48.64 | \n",
" NaN | \n",
" NaN | \n",
" 22.38 | \n",
" 24.98 | \n",
" 4.82 | \n",
" 64.980 | \n",
" 142.818 | \n",
" 0.0 | \n",
" 20.264 | \n",
" 147.664 | \n",
" 0.0 | \n",
" 0.0 | \n",
"
\n",
" \n",
" | 2019-01-01 00:03:00+01:00 | \n",
" 68.92 | \n",
" 34.85 | \n",
" 58.01 | \n",
" 2.0 | \n",
" 51.13 | \n",
" 48.35 | \n",
" 57.71 | \n",
" 73.05 | \n",
" 22.38 | \n",
" 24.98 | \n",
" 4.82 | \n",
" 64.975 | \n",
" 142.547 | \n",
" 0.0 | \n",
" 20.141 | \n",
" 147.686 | \n",
" 0.0 | \n",
" 0.0 | \n",
"
\n",
" \n",
" | 2019-01-01 00:04:00+01:00 | \n",
" 68.92 | \n",
" 34.85 | \n",
" 58.01 | \n",
" 2.0 | \n",
" 48.04 | \n",
" 52.01 | \n",
" 63.60 | \n",
" 79.07 | \n",
" 22.38 | \n",
" 24.98 | \n",
" 4.82 | \n",
" 64.970 | \n",
" 142.276 | \n",
" 0.0 | \n",
" 20.018 | \n",
" 147.708 | \n",
" 0.0 | \n",
" 0.0 | \n",
"
\n",
" \n",
"
\n",
"