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edit2
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": {}, "metadata": {},
"output_type": "display_data" "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": [ "source": [
"from datetime import timedelta\n", "from datetime import timedelta, datetime\n",
"import json\n", "import json\n",
"import pprint\n", "import pprint\n",
"from copy import deepcopy\n", "from copy import deepcopy\n",
"import pytz\n",
"\n", "\n",
"import cufflinks\n", "import cufflinks\n",
"cufflinks.go_offline()\n", "cufflinks.go_offline()\n",
@ -58,17 +77,40 @@
"import pandas as pd\n", "import pandas as pd\n",
"from tqdm.notebook import tqdm\n", "from tqdm.notebook import tqdm\n",
"\n", "\n",
"from pyrecoy.assets import Heatpump, Eboiler, GasBoiler, HotWaterStorage\n", "import sys\n",
"from pyrecoy.colors import *\n", "\n",
"from pyrecoy.converters import *\n", "import os\n",
"from pyrecoy.financial import calculate_eb_ode, get_tax_tables, get_tax_rate, get_grid_tariffs_electricity\n", " \n",
"from pyrecoy.framework import TimeFramework\n", "# Path to the folder containing the alternate version of PyRecoy\n",
"from pyrecoy.casestudy import CaseStudy\n", "\n",
"from pyrecoy.plotting import ebitda_bar_chart, npv_bar_chart\n", "alternate_pyrecoy_path = 'C:\\\\Users\\\\shahla.huseynova\\\\source\\\\repos\\\\Mooi-Kickstart\\\\pyrecoy\\\\pyrecoy'\n",
"from pyrecoy.reports import CaseReport, ComparisonReport, BusinessCaseReport, SingleFigureComparison\n", " \n",
"from pyrecoy.sensitivity import SensitivityAnalysis\n", "# Add the path to sys.path\n",
"from pyrecoy.prices import get_tennet_data, get_afrr_capacity_fees_nl\n", "\n",
"from pyrecoy.forecasts import Mipf\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", "\n",
"%load_ext autoreload\n", "%load_ext autoreload\n",
"%autoreload 2" "%autoreload 2"
@ -184,7 +226,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 2, "execution_count": null,
"metadata": { "metadata": {
"tags": [ "tags": [
"exclude" "exclude"
@ -195,6 +237,13 @@
"class Config():\n", "class Config():\n",
" start = '2019-01-01'\n", " start = '2019-01-01'\n",
" end = '2019-12-31'\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", " \n",
" hp_vdg_e_power = 23.3 # MW\n", " hp_vdg_e_power = 23.3 # MW\n",
" hp_ndg_e_power = 7.7 # MW\n", " hp_ndg_e_power = 7.7 # MW\n",
@ -253,7 +302,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 3, "execution_count": null,
"metadata": { "metadata": {
"tags": [ "tags": [
"exclude" "exclude"
@ -278,7 +327,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 4, "execution_count": null,
"metadata": { "metadata": {
"tags": [ "tags": [
"exclude" "exclude"
@ -290,9 +339,10 @@
" demand = pd.read_csv('data/smurfit_demand_preprocessed.csv', delimiter=';', decimal=',')\n", " demand = pd.read_csv('data/smurfit_demand_preprocessed.csv', delimiter=';', decimal=',')\n",
" dt_index = pd.date_range(\n", " dt_index = pd.date_range(\n",
" start=s.time_fw.start,\n", " start=s.time_fw.start,\n",
" end=s.time_fw.start + timedelta(days=365), freq='1T',\n", " end=s.time_fw.start + timedelta(days=365), \n",
" closed='left',\n", " freq='1T',\n",
" tz='Europe/Amsterdam')\n", " tz='Europe/Amsterdam')\n",
" dt_index = dt_index[:len(demand)]\n",
" demand.index = dt_index\n", " demand.index = dt_index\n",
" demand['Total demand'] = demand['MW (VDG)'] + demand['MW (NDG)']\n", " demand['Total demand'] = demand['MW (VDG)'] + demand['MW (NDG)']\n",
" demand = demand[c.start:c.end]\n", " demand = demand[c.start:c.end]\n",
@ -301,7 +351,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 5, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@ -310,46 +360,21 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 6, "execution_count": null,
"metadata": { "metadata": {
"tags": [ "tags": [
"exclude" "exclude"
] ]
}, },
"outputs": [ "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'"
]
}
],
"source": [ "source": [
"def setup_model(c):\n", "def setup_model(c):\n",
" s = Store()\n", " s = Store()\n",
" \n", " \n",
" s.time_fw = TimeFramework(start=c.start, end=c.end)\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", " # s.minute_ix = s.time_fw.dt_index(freq='1T')\n",
" #folder_path = r\"C:\\Users\\Shahla Huseynova\\Recoy\\Recoy - Documents\\03 - Libraries\\12 - Data Management\\Forecast Data\"\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",
" ).data\n", " s.mipf = mipf\n",
" \n",
" s.baseline = CaseStudy(time_fw=s.time_fw, freq='1T', name='Baseline')\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 = 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.hpcase_sde = CaseStudy(time_fw=s.time_fw, freq='1T', name='Heatpump + SDE', data=mipf)\n",
@ -1910,7 +1935,7 @@
"source": [ "source": [
"def calculate_financials(c, s):\n", "def calculate_financials(c, s):\n",
" for case in s.cases:\n", " for case in s.cases:\n",
" case.calculate_ebitda()\n", " case.calculate_ebitda(c.project_duration)\n",
"\n", "\n",
" for case in [s.hpcase, s.storage_case]: #, s.hpcase_sde, s.optcase1, s.afrr_case]:\n", " for case in [s.hpcase, s.storage_case]: #, s.hpcase_sde, s.optcase1, s.afrr_case]:\n",
" case.calculate_business_case(\n", " case.calculate_business_case(\n",

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