prepare_sector_network: reorder buses for dac components
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@ -37,6 +37,8 @@ Upcoming Release
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* Add the option to customise map projection in plotting config.
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* The order of buses (bus0, bus1, ...) for DAC components has changed to meet the convention of the other components. Therefore, `bus0` refers to the electricity bus (input), `bus1` to the heat bus (input), 'bus2' to the CO2 atmosphere bus (input), and `bus3` to the CO2 storage bus (output).
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PyPSA-Eur 0.9.0 (5th January 2024)
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==================================
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@ -288,7 +288,7 @@ def attach_load(n, regions, load, nuts3_shapes, ua_md_gdp, countries, scaling=1.
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ua_md_gdp = pd.read_csv(ua_md_gdp, dtype={"name": "str"}).set_index("name")
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logger.info(f"Load data scaled with scalling factor {scaling}.")
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logger.info(f"Load data scaled by factor {scaling}.")
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opsd_load *= scaling
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nuts3 = gpd.read_file(nuts3_shapes).set_index("index")
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@ -710,27 +710,27 @@ def add_dac(n, costs):
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heat_buses = n.buses.index[n.buses.carrier.isin(heat_carriers)]
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locations = n.buses.location[heat_buses]
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efficiency2 = -(
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electricity_input = (
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costs.at["direct air capture", "electricity-input"]
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+ costs.at["direct air capture", "compression-electricity-input"]
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)
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efficiency3 = -(
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) # MWh_el / tCO2
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heat_input = (
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costs.at["direct air capture", "heat-input"]
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- costs.at["direct air capture", "compression-heat-output"]
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)
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) # MWh_th / tCO2
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n.madd(
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"Link",
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heat_buses.str.replace(" heat", " DAC"),
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bus0="co2 atmosphere",
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bus1=spatial.co2.df.loc[locations, "nodes"].values,
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bus2=locations.values,
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bus3=heat_buses,
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bus0=locations.values,
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bus1=heat_buses,
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bus2="co2 atmosphere",
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bus3=spatial.co2.df.loc[locations, "nodes"].values,
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carrier="DAC",
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capital_cost=costs.at["direct air capture", "fixed"],
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efficiency=1.0,
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efficiency2=efficiency2,
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efficiency3=efficiency3,
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efficiency=-heat_input / electricity_input,
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efficiency2=-electricity_input,
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efficiency3=electricity_input,
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p_nom_extendable=True,
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lifetime=costs.at["direct air capture", "lifetime"],
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)
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