add option to make central heating forward/return temperatures country-specific
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@ -409,8 +409,18 @@ sector:
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2050: 1.0
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district_heating_loss: 0.15
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# check these numbers!
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forward_temperature: 90 #C
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return_temperature: 50 #C
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forward_temperature:
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generic: 90
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DK: 70
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SE: 70
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NO: 70
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FI: 70
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return_temperature:
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generic: 50
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DK: 40
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SE: 40
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NO: 40
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FI: 40
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heat_source_cooling: 6 #K
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heat_pump_cop_approximation:
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refrigerant: ammonia
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@ -785,3 +785,7 @@ def get_snapshots(snapshots, drop_leap_day=False, freq="h", **kwargs):
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time = time[~((time.month == 2) & (time.day == 29))]
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return time
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def get_country_from_node_name(node_name: str) -> str:
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return node_name[:2]
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@ -5,10 +5,43 @@
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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 _helpers import set_scenario_config, get_country_from_node_name
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from CentralHeatingCopApproximator import CentralHeatingCopApproximator
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from DecentralHeatingCopApproximator import DecentralHeatingCopApproximator
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def map_temperature_dict_to_onshore_regions(
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temperature_dict: dict, onshore_regions: xr.DataArray
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) -> xr.DataArray:
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"""
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Map dictionary of temperatures to onshore regions.
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Parameters:
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----------
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temperature_dict : dictionary
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Dictionary with temperatures as values and country keys as keys. One key must be named "generic"
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onshore_regions : xr.DataArray
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Names of onshore regions
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Returns:
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-------
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xr.DataArray
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The dictionary values mapped to onshore regions with onshore regions as coordinates.
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"""
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return xr.DataArray(
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[
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(
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temperature_dict[get_country_from_node_name(node_name)]
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if get_country_from_node_name(node_name) in temperature_dict.keys()
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else temperature_dict["generic"]
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)
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for node_name in onshore_regions["name"].values
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],
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dims=["name"],
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coords={"name": onshore_regions["name"]},
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)
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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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@ -23,12 +56,12 @@ if __name__ == "__main__":
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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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source_inlet_temperature_celsius: xr.DataArray = 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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cop_individual_heating: xr.DataArray = 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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@ -37,10 +70,25 @@ if __name__ == "__main__":
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snakemake.output[f"cop_{source_type}_decentral_heating"]
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)
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# map forward and return temperatures specified on country-level to onshore regions
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onshore_regions: xr.DataArray = source_inlet_temperature_celsius["name"]
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forward_temperature_central_heating: xr.DataArray = (
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map_temperature_dict_to_onshore_regions(
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temperature_dict=snakemake.params.forward_temperature_central_heating,
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onshore_regions=onshore_regions,
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)
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)
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return_temperature_central_heating: xr.DataArray = (
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map_temperature_dict_to_onshore_regions(
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temperature_dict=snakemake.params.return_temperature_central_heating,
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onshore_regions=onshore_regions,
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)
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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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cop_central_heating: xr.DataArray = CentralHeatingCopApproximator(
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forward_temperature_celsius=forward_temperature_central_heating,
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return_temperature_celsius=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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