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prepare_sector_network: reorder buses for dac components #901

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Feb 5, 2024
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2 changes: 2 additions & 0 deletions doc/release_notes.rst
Original file line number Diff line number Diff line change
Expand Up @@ -57,6 +57,8 @@ Upcoming Release

* Add the option to customise map projection in plotting config.

* 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).

* The rule ``plot_network`` has been split into separate rules for plotting
electricity, hydrogen and gas networks.

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2 changes: 1 addition & 1 deletion scripts/add_electricity.py
Original file line number Diff line number Diff line change
Expand Up @@ -288,7 +288,7 @@ def attach_load(n, regions, load, nuts3_shapes, ua_md_gdp, countries, scaling=1.

ua_md_gdp = pd.read_csv(ua_md_gdp, dtype={"name": "str"}).set_index("name")

logger.info(f"Load data scaled with scalling factor {scaling}.")
logger.info(f"Load data scaled by factor {scaling}.")
opsd_load *= scaling

nuts3 = gpd.read_file(nuts3_shapes).set_index("index")
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24 changes: 12 additions & 12 deletions scripts/prepare_sector_network.py
Original file line number Diff line number Diff line change
Expand Up @@ -710,27 +710,27 @@ def add_dac(n, costs):
heat_buses = n.buses.index[n.buses.carrier.isin(heat_carriers)]
locations = n.buses.location[heat_buses]

efficiency2 = -(
electricity_input = (
costs.at["direct air capture", "electricity-input"]
+ costs.at["direct air capture", "compression-electricity-input"]
)
efficiency3 = -(
) # MWh_el / tCO2
heat_input = (
costs.at["direct air capture", "heat-input"]
- costs.at["direct air capture", "compression-heat-output"]
)
) # MWh_th / tCO2

n.madd(
"Link",
heat_buses.str.replace(" heat", " DAC"),
bus0="co2 atmosphere",
bus1=spatial.co2.df.loc[locations, "nodes"].values,
bus2=locations.values,
bus3=heat_buses,
bus0=locations.values,
bus1=heat_buses,
bus2="co2 atmosphere",
bus3=spatial.co2.df.loc[locations, "nodes"].values,
carrier="DAC",
capital_cost=costs.at["direct air capture", "fixed"],
efficiency=1.0,
efficiency2=efficiency2,
efficiency3=efficiency3,
capital_cost=costs.at["direct air capture", "fixed"] / electricity_input,
efficiency=-heat_input / electricity_input,
efficiency2=-1 / electricity_input,
efficiency3=1 / electricity_input,
p_nom_extendable=True,
lifetime=costs.at["direct air capture", "lifetime"],
)
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