51 lines
2.0 KiB
Python
51 lines
2.0 KiB
Python
# -*- coding: utf-8 -*-
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# SPDX-FileCopyrightText: : 2020-2024 The PyPSA-Eur Authors
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#
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# SPDX-License-Identifier: MIT
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import numpy as np
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import xarray as xr
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from _helpers import set_scenario_config
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from CentralHeatingCopApproximator import CentralHeatingCopApproximator
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from DecentralHeatingCopApproximator import DecentralHeatingCopApproximator
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if __name__ == "__main__":
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if "snakemake" not in globals():
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from _helpers import mock_snakemake
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snakemake = mock_snakemake(
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"build_cop_profiles",
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simpl="",
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clusters=48,
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)
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set_scenario_config(snakemake)
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for source_type in ["air", "soil"]:
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# source inlet temperature (air/soil) is based on weather data
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source_inlet_temperature_celsius = xr.open_dataarray(
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snakemake.input[f"temp_{source_type}_total"]
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)
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# Approximate COP for decentral (individual) heating
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cop_individual_heating = DecentralHeatingCopApproximator(
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forward_temperature_celsius=snakemake.params.heat_pump_sink_T_decentral_heating,
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source_inlet_temperature_celsius=source_inlet_temperature_celsius,
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source_type=source_type,
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).approximate_cop()
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cop_individual_heating.to_netcdf(
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snakemake.output[f"cop_{source_type}_decentral_heating"]
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)
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# Approximate COP for central (district) heating
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cop_central_heating = CentralHeatingCopApproximator(
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forward_temperature_celsius=snakemake.params.forward_temperature_central_heating,
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return_temperature_celsius=snakemake.params.return_temperature_central_heating,
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source_inlet_temperature_celsius=source_inlet_temperature_celsius,
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source_outlet_temperature_celsius=source_inlet_temperature_celsius
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- snakemake.params.heat_source_cooling_central_heating,
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).approximate_cop()
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cop_central_heating.to_netcdf(
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snakemake.output[f"cop_{source_type}_central_heating"]
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)
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