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ShahlaHuseynova 2 years ago
parent 27b98abefd
commit aab3f9541f
1 changed files with 74 additions and 49 deletions
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123
Kickstart/V2/simulations-storageEncore_final.ipynb
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@ -43,13 +43,32 @@
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"None\n"
]
},
{
"ename": "ModuleNotFoundError",
"evalue": "No module named 'pyrecoy2.assets'",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[1;32mIn[1], line 37\u001b[0m\n\u001b[0;32m 32\u001b[0m \u001b[38;5;66;03m# Check the version or path to confirm\u001b[39;00m\n\u001b[0;32m 34\u001b[0m \u001b[38;5;28mprint\u001b[39m(pyrecoy2\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__file__\u001b[39m)\n\u001b[1;32m---> 37\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpyrecoy2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01massets\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Heatpump, Eboiler, GasBoiler, HotWaterStorage\n\u001b[0;32m 38\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpyrecoy2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcolors\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m\n\u001b[0;32m 39\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpyrecoy2\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mconverters\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m\n",
"\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'pyrecoy2.assets'"
]
}
],
"source": [
"from datetime import timedelta\n",
"from datetime import timedelta, datetime\n",
"import json\n",
"import pprint\n",
"from copy import deepcopy\n",
"import pytz\n",
"\n",
"import cufflinks\n",
"cufflinks.go_offline()\n",
@ -58,17 +77,40 @@
"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",
"import sys\n",
"\n",
"import os\n",
" \n",
"# Path to the folder containing the alternate version of PyRecoy\n",
"\n",
"alternate_pyrecoy_path = 'C:\\\\Users\\\\shahla.huseynova\\\\source\\\\repos\\\\Mooi-Kickstart\\\\pyrecoy\\\\pyrecoy'\n",
" \n",
"# Add the path to sys.path\n",
"\n",
"if alternate_pyrecoy_path not in sys.path:\n",
"\n",
" sys.path.insert(0, alternate_pyrecoy_path)\n",
" \n",
"# Now import PyRecoy\n",
"\n",
"import pyrecoy2\n",
"\n",
"# Check the version or path to confirm\n",
"\n",
"print(pyrecoy2.__file__)\n",
"\n",
"\n",
"from pyrecoy2.assets import Heatpump, Eboiler, GasBoiler, HotWaterStorage\n",
"from pyrecoy2.colors import *\n",
"from pyrecoy2.converters import *\n",
"from pyrecoy2.financial import calculate_eb_ode, get_tax_tables, get_tax_rate, get_grid_tariffs_electricity\n",
"from pyrecoy2.framework import TimeFramework\n",
"from pyrecoy2.casestudy import CaseStudy\n",
"from pyrecoy2.plotting import ebitda_bar_chart, npv_bar_chart\n",
"from pyrecoy2.reports import CaseReport, ComparisonReport, BusinessCaseReport, SingleFigureComparison\n",
"from pyrecoy2.sensitivity import SensitivityAnalysis\n",
"from pyrecoy2.prices import get_tennet_data, get_afrr_capacity_fees_nl\n",
"from pyrecoy2.forecasts import Mipf, Forecast\n",
"\n",
"%load_ext autoreload\n",
"%autoreload 2"
@ -184,7 +226,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"metadata": {
"tags": [
"exclude"
@ -195,6 +237,13 @@
"class Config():\n",
" start = '2019-01-01'\n",
" end = '2019-12-31'\n",
" # year = '2019'\n",
" # startdate = year + '-01-01'\n",
" # enddate = str(year) + '-12-31'\n",
" # start = datetime.strptime(startdate, \"%Y-%m-%d\").astimezone(pytz.timezone('Europe/Amsterdam'))\n",
" # end = datetime.strptime(enddate, \"%Y-%m-%d\").astimezone(pytz.timezone('Europe/Amsterdam'))\n",
" # start = start.astimezone(pytz.UTC)\n",
" # end = end.astimezone(pytz.UTC)\n",
" \n",
" hp_vdg_e_power = 23.3 # MW\n",
" hp_ndg_e_power = 7.7 # MW\n",
@ -253,7 +302,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": null,
"metadata": {
"tags": [
"exclude"
@ -278,7 +327,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": null,
"metadata": {
"tags": [
"exclude"
@ -290,9 +339,10 @@
" 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",
" end=s.time_fw.start + timedelta(days=365), \n",
" freq='1T',\n",
" tz='Europe/Amsterdam')\n",
" dt_index = dt_index[:len(demand)]\n",
" demand.index = dt_index\n",
" demand['Total demand'] = demand['MW (VDG)'] + demand['MW (NDG)']\n",
" demand = demand[c.start:c.end]\n",
@ -301,7 +351,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@ -310,46 +360,21 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": null,
"metadata": {
"tags": [
"exclude"
]
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\users\\shahla.huseynova\\documents\\asset_studies_recoy\\asset-case-studies\\asset-case-studies\\pyrecoy\\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"
]
},
{
"ename": "TypeError",
"evalue": "Forecast.__init__() got an unexpected keyword argument 'tidy'",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[1;32mIn[6], line 25\u001b[0m\n\u001b[0;32m 22\u001b[0m s\u001b[38;5;241m.\u001b[39mdemand \u001b[38;5;241m=\u001b[39m load_demand_data(c, s)\n\u001b[0;32m 23\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m s\n\u001b[1;32m---> 25\u001b[0m s \u001b[38;5;241m=\u001b[39m \u001b[43msetup_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43mc\u001b[49m\u001b[43m)\u001b[49m\n",
"Cell \u001b[1;32mIn[6], line 5\u001b[0m, in \u001b[0;36msetup_model\u001b[1;34m(c)\u001b[0m\n\u001b[0;32m 2\u001b[0m s \u001b[38;5;241m=\u001b[39m Store()\n\u001b[0;32m 4\u001b[0m s\u001b[38;5;241m.\u001b[39mtime_fw \u001b[38;5;241m=\u001b[39m TimeFramework(start\u001b[38;5;241m=\u001b[39mc\u001b[38;5;241m.\u001b[39mstart, end\u001b[38;5;241m=\u001b[39mc\u001b[38;5;241m.\u001b[39mend)\n\u001b[1;32m----> 5\u001b[0m mipf \u001b[38;5;241m=\u001b[39m \u001b[43mMipf\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstart\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43ms\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtime_fw\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstart\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mend\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43ms\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtime_fw\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mend\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtidy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minclude_nextQ\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m#folder_path = r\"C:\\Users\\Shahla Huseynova\\Recoy\\Recoy - Documents\\03 - Libraries\\12 - Data Management\\Forecast Data\"\u001b[39;49;00m\n\u001b[0;32m 7\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mdata\n\u001b[0;32m 9\u001b[0m s\u001b[38;5;241m.\u001b[39mbaseline \u001b[38;5;241m=\u001b[39m CaseStudy(time_fw\u001b[38;5;241m=\u001b[39ms\u001b[38;5;241m.\u001b[39mtime_fw, freq\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m1T\u001b[39m\u001b[38;5;124m'\u001b[39m, name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mBaseline\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 10\u001b[0m s\u001b[38;5;241m.\u001b[39mhpcase \u001b[38;5;241m=\u001b[39m CaseStudy(time_fw\u001b[38;5;241m=\u001b[39ms\u001b[38;5;241m.\u001b[39mtime_fw, freq\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m1T\u001b[39m\u001b[38;5;124m'\u001b[39m, name\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mHeatpump only\u001b[39m\u001b[38;5;124m'\u001b[39m, data\u001b[38;5;241m=\u001b[39mmipf)\n",
"File \u001b[1;32mc:\\users\\shahla.huseynova\\documents\\asset_studies_recoy\\asset-case-studies\\asset-case-studies\\pyrecoy\\pyrecoy\\pyrecoy\\forecasts.py:98\u001b[0m, in \u001b[0;36mMipf.__init__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 97\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m---> 98\u001b[0m \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m 99\u001b[0m forecasts \u001b[38;5;241m=\u001b[39m get_imbalance_forecasts_from_database_on_quarter_start_time(kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mstart\u001b[39m\u001b[38;5;124m'\u001b[39m], kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mend\u001b[39m\u001b[38;5;124m'\u001b[39m],\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mNLD\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 100\u001b[0m forecasts[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mPublicationTime\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mto_datetime(forecasts[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mPublicationTime\u001b[39m\u001b[38;5;124m'\u001b[39m], utc\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n",
"\u001b[1;31mTypeError\u001b[0m: Forecast.__init__() got an unexpected keyword argument 'tidy'"
]
}
],
"outputs": [],
"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.minute_ix = s.time_fw.dt_index(freq='1T')\n",
" mipf = Mipf(None, start=s.time_fw.start, end=s.time_fw.end, from_database=True, add_days_to_start_end=False).data\n",
" s.mipf = mipf\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",
@ -1910,7 +1935,7 @@
"source": [
"def calculate_financials(c, s):\n",
" for case in s.cases:\n",
" case.calculate_ebitda()\n",
" case.calculate_ebitda(c.project_duration)\n",
"\n",
" for case in [s.hpcase, s.storage_case]: #, s.hpcase_sde, s.optcase1, s.afrr_case]:\n",
" case.calculate_business_case(\n",

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