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apply spatial management of gas nodes

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This commit is contained in:
Fabian Neumann 2021-08-04 14:47:13 +02:00
parent 5da6ac044b
commit f4aa345c74
1 changed files with 40 additions and 58 deletions
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98
scripts/prepare_sector_network.py
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@ -43,9 +43,15 @@ def define_spatial(nodes):
if options["gas_network"]: if options["gas_network"]:
spatial.gas.nodes = nodes + " gas" spatial.gas.nodes = nodes + " gas"
spatial.gas.locations = nodes spatial.gas.locations = nodes
spatial.gas.biogas = nodes + " biogas"
spatial.gas.industry = nodes + " gas for industry"
spatial.gas.industry_cc = nodes + " gas for industry CC"
else: else:
spatial.gas.nodes = ["EU gas"] spatial.gas.nodes = ["EU gas"]
spatial.gas.locations = "EU" spatial.gas.locations = "EU"
spatial.gas.biogas = ["EU biogas"]
spatial.gas.industry = ["gas for industry"]
spatial.gas.industry_cc = ["gas for industry CC"]
spatial.gas.df = pd.DataFrame(vars(spatial.gas), index=nodes) spatial.gas.df = pd.DataFrame(vars(spatial.gas), index=nodes)
@ -1111,17 +1117,12 @@ def add_storage(n, costs):
lifetime=costs.at['battery inverter', 'lifetime'] lifetime=costs.at['battery inverter', 'lifetime']
) )
if options["gas_network"]:
gas_nodes = nodes + " gas"
else:
gas_nodes = pd.Index(["EU gas"])
if options['methanation']: if options['methanation']:
n.madd("Link", n.madd("Link",
nodes + " Sabatier", nodes + " Sabatier",
bus0=nodes + " H2", bus0=nodes + " H2",
bus1=gas_nodes.repeat((len(nodes)//len(gas_nodes))), bus1=spatial.gas.nodes,
bus2="co2 stored", bus2="co2 stored",
p_nom_extendable=True, p_nom_extendable=True,
carrier="Sabatier", carrier="Sabatier",
@ -1136,7 +1137,7 @@ def add_storage(n, costs):
n.madd("Link", n.madd("Link",
nodes + " helmeth", nodes + " helmeth",
bus0=nodes, bus0=nodes,
bus1=gas_nodes.repeat((len(nodes)//len(gas_nodes))), bus1=spatial.gas.nodes,
bus2="co2 stored", bus2="co2 stored",
carrier="helmeth", carrier="helmeth",
p_nom_extendable=True, p_nom_extendable=True,
@ -1151,7 +1152,7 @@ def add_storage(n, costs):
n.madd("Link", n.madd("Link",
nodes + " SMR CC", nodes + " SMR CC",
bus0=gas_nodes.repeat((len(nodes)//len(gas_nodes))), bus0=spatial.gas.nodes,
bus1=nodes + " H2", bus1=nodes + " H2",
bus2="co2 atmosphere", bus2="co2 atmosphere",
bus3="co2 stored", bus3="co2 stored",
@ -1166,7 +1167,7 @@ def add_storage(n, costs):
n.madd("Link", n.madd("Link",
nodes + " SMR", nodes + " SMR",
bus0=gas_nodes.repeat((len(nodes)//len(gas_nodes))), bus0=spatial.gas.nodes,
bus1=nodes + " H2", bus1=nodes + " H2",
bus2="co2 atmosphere", bus2="co2 atmosphere",
p_nom_extendable=True, p_nom_extendable=True,
@ -1302,8 +1303,6 @@ def add_land_transport(n, costs):
def add_heat(n, costs): def add_heat(n, costs):
# TODO options?
# TODO pop_layout?
print("adding heat") print("adding heat")
@ -1311,11 +1310,6 @@ def add_heat(n, costs):
nodes = create_nodes_for_heat_sector() nodes = create_nodes_for_heat_sector()
if options["gas_network"]:
gas_nodes = pop_layout.index + " gas"
else:
gas_nodes = pd.Index(["EU gas"])
#NB: must add costs of central heating afterwards (EUR 400 / kWpeak, 50a, 1% FOM from Fraunhofer ISE) #NB: must add costs of central heating afterwards (EUR 400 / kWpeak, 50a, 1% FOM from Fraunhofer ISE)
urban_fraction = options['central_fraction'] * pop_layout["urban"] / pop_layout[["urban", "rural"]].sum(axis=1) urban_fraction = options['central_fraction'] * pop_layout["urban"] / pop_layout[["urban", "rural"]].sum(axis=1)
@ -1337,12 +1331,6 @@ def add_heat(n, costs):
for name in heat_systems: for name in heat_systems:
if options["gas_network"]:
gas_nodes_region = gas_nodes[[gas_node.replace(" gas","")
in nodes[name] for gas_node in gas_nodes]]
else:
gas_nodes_region = gas_nodes
name_type = "central" if name == "urban central" else "decentral" name_type = "central" if name == "urban central" else "decentral"
n.add("Carrier", name + " heat") n.add("Carrier", name + " heat")
@ -1464,7 +1452,7 @@ def add_heat(n, costs):
n.madd("Link", n.madd("Link",
nodes[name] + f" {name} gas boiler", nodes[name] + f" {name} gas boiler",
p_nom_extendable=True, p_nom_extendable=True,
bus0=gas_nodes_region.repeat((len(nodes[name])//len(gas_nodes_region))), bus0=spatial.gas.df.loc[nodes[name], "nodes"].values,
bus1=nodes[name] + f" {name} heat", bus1=nodes[name] + f" {name} heat",
bus2="co2 atmosphere", bus2="co2 atmosphere",
carrier=name + " gas boiler", carrier=name + " gas boiler",
@ -1494,7 +1482,7 @@ def add_heat(n, costs):
# add gas CHP; biomass CHP is added in biomass section # add gas CHP; biomass CHP is added in biomass section
n.madd("Link", n.madd("Link",
nodes[name] + " urban central gas CHP", nodes[name] + " urban central gas CHP",
bus0=gas_nodes_region, bus0=spatial.gas.df.loc[nodes[name], "nodes"].values,
bus1=nodes[name], bus1=nodes[name],
bus2=nodes[name] + " urban central heat", bus2=nodes[name] + " urban central heat",
bus3="co2 atmosphere", bus3="co2 atmosphere",
@ -1510,7 +1498,7 @@ def add_heat(n, costs):
n.madd("Link", n.madd("Link",
nodes[name] + " urban central gas CHP CC", nodes[name] + " urban central gas CHP CC",
bus0=gas_nodes_region, bus0=spatial.gas.df.loc[nodes[name], "nodes"].values,
bus1=nodes[name], bus1=nodes[name],
bus2=nodes[name] + " urban central heat", bus2=nodes[name] + " urban central heat",
bus3="co2 atmosphere", bus3="co2 atmosphere",
@ -1531,7 +1519,7 @@ def add_heat(n, costs):
n.madd("Link", n.madd("Link",
nodes[name] + f" {name} micro gas CHP", nodes[name] + f" {name} micro gas CHP",
p_nom_extendable=True, p_nom_extendable=True,
bus0=gas_nodes_region, bus0=spatial.gas.df.loc[nodes[name], "nodes"].values,
bus1=nodes[name], bus1=nodes[name],
bus2=nodes[name] + f" {name} heat", bus2=nodes[name] + f" {name} heat",
bus3="co2 atmosphere", bus3="co2 atmosphere",
@ -1677,14 +1665,13 @@ def add_biomass(n, costs):
# potential per node distributed within country by population # potential per node distributed within country by population
biogas_pot = (biomass_potentials.loc[pop_layout.ct] biogas_pot = (biomass_potentials.loc[pop_layout.ct]
.set_index(pop_layout.index) .set_index(pop_layout.index)
.mul(pop_layout.fraction, axis="index") .mul(pop_layout.fraction, axis="index")
.rename(index=lambda x: x + " biogas"))["biogas"] .rename(index=lambda x: x + " biogas")
)["biogas"]
if options["gas_network"]: # need to aggregate potentials if gas not nodally resolved
gas_nodes = nodes + " gas" if not options["gas_network"]:
else:
gas_nodes = pd.Index(["EU gas"])
biogas_pot = biogas_pot.sum() biogas_pot = biogas_pot.sum()
n.add("Carrier", "biogas") n.add("Carrier", "biogas")
@ -1692,8 +1679,8 @@ def add_biomass(n, costs):
n.add("Carrier", "solid biomass") n.add("Carrier", "solid biomass")
n.madd("Bus", n.madd("Bus",
gas_nodes.str.replace("gas", "biogas"), spatial.gas.biogas,
location=gas_nodes.str.replace(" gas", ""), location=spatial.gas.locations,
carrier="biogas" carrier="biogas"
) )
@ -1704,8 +1691,8 @@ def add_biomass(n, costs):
) )
n.madd("Store", n.madd("Store",
gas_nodes.str.replace("gas", "biogas"), spatial.gas.biogas,
bus=gas_nodes.str.replace("gas", "biogas"), bus=spatial.gas.biogas,
carrier="biogas", carrier="biogas",
e_nom=biogas_pot, e_nom=biogas_pot,
marginal_cost=costs.at['biogas', 'fuel'], marginal_cost=costs.at['biogas', 'fuel'],
@ -1722,9 +1709,9 @@ def add_biomass(n, costs):
) )
n.madd("Link", n.madd("Link",
gas_nodes.str.replace("gas", "") + "biogas to gas", spatial.gas.locations + "biogas to gas",
bus0=gas_nodes.str.replace("gas", "biogas"), bus0=spatial.gas.biogas,
bus1=gas_nodes, bus1=spatial.gas.nodes,
bus2="co2 atmosphere", bus2="co2 atmosphere",
carrier="biogas to gas", carrier="biogas to gas",
capital_cost=costs.loc["biogas upgrading", "fixed"], capital_cost=costs.loc["biogas upgrading", "fixed"],
@ -1783,19 +1770,14 @@ def add_industry(n, costs):
# 1e6 to convert TWh to MWh # 1e6 to convert TWh to MWh
industrial_demand = pd.read_csv(snakemake.input.industrial_demand, index_col=0) * 1e6 industrial_demand = pd.read_csv(snakemake.input.industrial_demand, index_col=0) * 1e6
methane_demand = ((industrial_demand.loc[nodes,"methane"]/8760) methane_demand = industrial_demand.loc[nodes, "methane"].div(8760).rename(index=lambda x: x + " gas for industry")
.rename(index=lambda x: x + " gas for industry"))
if options["gas_network"]: # need to aggregate methane demand if gas not nodally resolved
gas_nodes = nodes + " gas" if not options["gas_network"]:
else:
gas_nodes = pd.Index(["EU gas"])
methane_demand = methane_demand.sum() methane_demand = methane_demand.sum()
solid_biomass_by_country = industrial_demand["solid biomass"].groupby(pop_layout.ct).sum() solid_biomass_by_country = industrial_demand["solid biomass"].groupby(pop_layout.ct).sum()
countries = solid_biomass_by_country.index
n.add("Bus", n.add("Bus",
"solid biomass for industry", "solid biomass for industry",
location="EU", location="EU",
@ -1834,21 +1816,21 @@ def add_industry(n, costs):
) )
n.madd("Bus", n.madd("Bus",
gas_nodes.str.replace("gas", "gas for industry"), spatial.gas.industry,
location=gas_nodes.str.replace(" gas",""), location=spatial.gas.locations,
carrier="gas for industry") carrier="gas for industry")
n.madd("Load", n.madd("Load",
gas_nodes.str.replace("gas", "gas for industry"), spatial.gas.industry,
bus=gas_nodes.str.replace("gas", "gas for industry"), bus=spatial.gas.industry,
carrier="gas for industry", carrier="gas for industry",
p_set=methane_demand p_set=methane_demand
) )
n.madd("Link", n.madd("Link",
gas_nodes.str.replace("gas", "gas for industry"), spatial.gas.industry,
bus0=gas_nodes, bus0=spatial.gas.nodes,
bus1=gas_nodes.str.replace("gas","gas for industry"), bus1=spatial.gas.industry,
bus2="co2 atmosphere", bus2="co2 atmosphere",
carrier="gas for industry", carrier="gas for industry",
p_nom_extendable=True, p_nom_extendable=True,
@ -1857,9 +1839,9 @@ def add_industry(n, costs):
) )
n.madd("Link", n.madd("Link",
gas_nodes.str.replace("gas", "gas for industry CC"), spatial.gas.industry_cc,
bus0=gas_nodes, bus0=spatial.gas.nodes,
bus1=gas_nodes.str.replace("gas", "gas for industry"), bus1=spatial.gas.industry,
bus2="co2 atmosphere", bus2="co2 atmosphere",
bus3="co2 stored", bus3="co2 stored",
carrier="gas for industry CC", carrier="gas for industry CC",