add biomass transport, split potential for solid biomass to nodes, add costs for upgrading biogas to gas
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lisazeyen
parent
2dd97c39ed
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651a7ff693
@ -51,6 +51,33 @@ def add_lifetime_wind_solar(n):
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n.generators.loc[[index for index in n.generators.index.to_list()
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if carrier in index], 'lifetime']=costs.at[carrier_name,'lifetime']
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def create_network_topology(n, prefix):
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"""
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create a network topology as the electric network,
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returns a pandas dataframe with bus0, bus1 and length
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"""
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topo = pd.DataFrame(columns=["bus0", "bus1", "length"])
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connector = " -> "
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attrs = ["bus0", "bus1", "length"]
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candidates = pd.concat([n.lines[attrs],
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n.links.loc[n.links.carrier == "DC", attrs]])
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positive_order = candidates.bus0 < candidates.bus1
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candidates_p = candidates[positive_order]
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candidates_n = (candidates[~ positive_order]
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.rename(columns={"bus0": "bus1", "bus1": "bus0"}))
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candidates = pd.concat((candidates_p, candidates_n), sort=False)
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topo = candidates.groupby(["bus0", "bus1"], as_index=False).mean()
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topo.rename(index=lambda x: prefix + topo.at[x, "bus0"]
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+ connector + topo.at[x, "bus1"],
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inplace=True)
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return topo
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def update_wind_solar_costs(n,costs):
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"""
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Update costs for wind and solar generators added with pypsa-eur to those
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@ -1354,6 +1381,16 @@ def add_biomass(network):
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biomass_potentials = pd.read_csv(snakemake.input.biomass_potentials,
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index_col=0)
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# costs for biomass transport
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transport_costs = pd.read_csv(snakemake.input.biomass_transport,
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index_col=0)
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# potential per node distributed within country by population
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biomass_pot_node = (biomass_potentials.loc[pop_layout.ct]
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.set_index(pop_layout.index)
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.mul(pop_layout.fraction, axis="index"))
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network.add("Carrier","biogas")
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network.add("Carrier","solid biomass")
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@ -1363,8 +1400,7 @@ def add_biomass(network):
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carrier="biogas")
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network.madd("Bus",
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["EU solid biomass"],
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location="EU",
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biomass_pot_node.index + " solid biomass",
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carrier="solid biomass")
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network.madd("Store",
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@ -1376,12 +1412,12 @@ def add_biomass(network):
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e_initial=biomass_potentials.loc[cts,"biogas"].sum())
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network.madd("Store",
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["EU solid biomass"],
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bus="EU solid biomass",
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biomass_pot_node.index + " solid biomass",
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bus=biomass_pot_node.index + " solid biomass",
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carrier="solid biomass",
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e_nom=biomass_potentials.loc[cts,"solid biomass"].sum(),
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marginal_cost=costs.at['solid biomass','fuel'],
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e_initial=biomass_potentials.loc[cts,"solid biomass"].sum())
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e_nom=biomass_pot_node["solid biomass"].values,
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marginal_cost=costs.at['solid biomass', 'fuel'],
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e_initial=biomass_pot_node["solid biomass"].values)
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network.madd("Link",
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["biogas to gas"],
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@ -1389,9 +1425,38 @@ def add_biomass(network):
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bus1="EU gas",
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bus2="co2 atmosphere",
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carrier="biogas to gas",
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capital_cost=costs.loc["biogas upgrading", "fixed"],
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marginal_cost=costs.loc["biogas upgrading", "VOM"],
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efficiency2=-costs.at['gas','CO2 intensity'],
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p_nom_extendable=True)
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# add biomass transport
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biomass_transport = create_network_topology(n, "Biomass transport ")
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# make transport in both directions
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df = biomass_transport.copy()
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df["bus1"] = biomass_transport.bus0
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df["bus0"] = biomass_transport.bus1
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df.rename(index=lambda x: "Biomass transport " + df.at[x, "bus0"]
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+ " -> " + df.at[x, "bus1"], inplace=True)
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biomass_transport = pd.concat([biomass_transport, df])
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# costs
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bus0_costs = biomass_transport.bus0.apply(lambda x: transport_costs.loc[x[:2]])
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bus1_costs = biomass_transport.bus1.apply(lambda x: transport_costs.loc[x[:2]])
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biomass_transport["costs"] = pd.concat([bus0_costs, bus1_costs],
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axis=1).mean(axis=1)
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network.madd("Link",
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biomass_transport.index,
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bus0=biomass_transport.bus0 + " solid biomass",
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bus1=biomass_transport.bus1 + " solid biomass",
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p_nom_extendable=True,
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length=biomass_transport.length.values,
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marginal_cost=biomass_transport.costs * biomass_transport.length.values,
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capital_cost=1,
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carrier="solid biomass transport")
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#AC buses with district heating
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urban_central = network.buses.index[network.buses.carrier == "urban central heat"]
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@ -1400,7 +1465,7 @@ def add_biomass(network):
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network.madd("Link",
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urban_central + " urban central solid biomass CHP electric",
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bus0="EU solid biomass",
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bus0=urban_central + " solid biomass",
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bus1=urban_central,
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carrier="urban central solid biomass CHP electric",
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p_nom_extendable=True,
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@ -1415,7 +1480,7 @@ def add_biomass(network):
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network.madd("Link",
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urban_central + " urban central solid biomass CHP heat",
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bus0="EU solid biomass",
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bus0=urban_central + " solid biomass",
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bus1=urban_central + " urban central heat",
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carrier="urban central solid biomass CHP heat",
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p_nom_extendable=True,
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@ -1425,7 +1490,7 @@ def add_biomass(network):
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network.madd("Link",
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urban_central + " urban central solid biomass CHP CCS electric",
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bus0="EU solid biomass",
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bus0=urban_central + " solid biomass",
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bus1=urban_central,
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bus2="co2 atmosphere",
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bus3="co2 stored",
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@ -1443,7 +1508,7 @@ def add_biomass(network):
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network.madd("Link",
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urban_central + " urban central solid biomass CHP CCS heat",
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bus0="EU solid biomass",
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bus0=urban_central + " solid biomass",
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bus1=urban_central + " urban central heat",
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bus2="co2 atmosphere",
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bus3="co2 stored",
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@ -1467,7 +1532,6 @@ def add_industry(network):
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index_col=0)
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solid_biomass_by_country = industrial_demand["solid biomass"].groupby(pop_layout.ct).sum()
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countries = solid_biomass_by_country.index
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network.madd("Bus",
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["solid biomass for industry"],
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@ -1481,16 +1545,16 @@ def add_industry(network):
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p_set=solid_biomass_by_country.sum()/8760.)
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network.madd("Link",
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["solid biomass for industry"],
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bus0="EU solid biomass",
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nodes + " solid biomass for industry",
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bus0=nodes + " solid biomass",
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bus1="solid biomass for industry",
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carrier="solid biomass for industry",
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p_nom_extendable=True,
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efficiency=1.)
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network.madd("Link",
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["solid biomass for industry CCS"],
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bus0="EU solid biomass",
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nodes + " solid biomass for industry CCS",
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bus0=nodes + " solid biomass",
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bus1="solid biomass for industry",
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bus2="co2 atmosphere",
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bus3="co2 stored",
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@ -1753,6 +1817,7 @@ if __name__ == "__main__":
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co2_totals_name='resources/co2_totals.csv',
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transport_name='resources/transport_data.csv',
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biomass_potentials='resources/biomass_potentials.csv',
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biomass_transport='data/biomass/biomass_transport_costs.csv',
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timezone_mappings='data/timezone_mappings.csv',
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heat_profile="data/heat_load_profile_BDEW.csv",
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costs="../technology-data/outputs/costs_{planning_horizons}.csv",
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