bjoern/pypsa-eur
1
0
Fork 0
Code Issues Pull Requests Actions 1 Packages Projects Releases Wiki Activity

[pre-commit.ci] auto fixes from pre-commit.com hooks

Browse Source 
for more information, see https://pre-commit.ci
This commit is contained in:
pre-commit-ci[bot] 2024-05-13 13:41:39 +00:00
parent afa5cc5014
commit a9d0f295fb
2 changed files with 34 additions and 23 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

49
scripts/make_summary.py
View File

@ -415,8 +415,8 @@ def calculate_supply_energy(n, label, supply_energy):
def calculate_nodal_supply_energy(n, label, nodal_supply_energy): def calculate_nodal_supply_energy(n, label, nodal_supply_energy):
""" """
Calculate the total energy supply/consumption of each component at the buses Calculate the total energy supply/consumption of each component at the
aggregated by carrier and node. buses aggregated by carrier and node.
""" """
bus_carriers = n.buses.carrier.unique() bus_carriers = n.buses.carrier.unique()
@ -432,22 +432,27 @@ def calculate_nodal_supply_energy(n, label, nodal_supply_energy):
continue continue
s = ( s = (
pd.concat([ pd.concat(
( [
c.pnl.p[items] (
.multiply(n.snapshot_weightings.generators, axis=0) c.pnl.p[items]
.sum() .multiply(n.snapshot_weightings.generators, axis=0)
.multiply(c.df.loc[items, "sign"]) .sum()
), .multiply(c.df.loc[items, "sign"])
c.df.loc[items][["bus", "carrier"]] ),
], axis=1) c.df.loc[items][["bus", "carrier"]],
],
axis=1,
)
.groupby(by=["bus", "carrier"]) .groupby(by=["bus", "carrier"])
.sum()[0] .sum()[0]
) )
s = pd.concat([s], keys=[c.list_name]) s = pd.concat([s], keys=[c.list_name])
s = pd.concat([s], keys=[i]) s = pd.concat([s], keys=[i])
nodal_supply_energy = nodal_supply_energy.reindex(s.index.union(nodal_supply_energy.index)) nodal_supply_energy = nodal_supply_energy.reindex(
s.index.union(nodal_supply_energy.index)
)
nodal_supply_energy.loc[s.index, label] = s nodal_supply_energy.loc[s.index, label] = s
for c in n.iterate_components(n.branch_components): for c in n.iterate_components(n.branch_components):
@ -458,14 +463,18 @@ def calculate_nodal_supply_energy(n, label, nodal_supply_energy):
continue continue
s = ( s = (
pd.concat([ pd.concat(
( [
(-1) * c.pnl["p" + end][items] (
.multiply(n.snapshot_weightings.generators, axis=0) (-1)
.sum() * c.pnl["p" + end][items]
), .multiply(n.snapshot_weightings.generators, axis=0)
c.df.loc[items][["bus0", "carrier"]] .sum()
], axis=1) ),
c.df.loc[items][["bus0", "carrier"]],
],
axis=1,
)
.groupby(by=["bus0", "carrier"]) .groupby(by=["bus0", "carrier"])
.sum()[0] .sum()[0]
) )

8
scripts/prepare_sector_network.py
View File

@ -2907,7 +2907,9 @@ def add_industry(n, costs):
if ( if (
snakemake.config["industry"]["waste_to_energy"] snakemake.config["industry"]["waste_to_energy"]
and options["regional_oil_demand"] # Should warn if regional_oil_demand is not true!!? and options[
"regional_oil_demand"
] # Should warn if regional_oil_demand is not true!!?
): ):
n.madd( n.madd(
@ -2957,7 +2959,7 @@ def add_industry(n, costs):
* costs.at["waste CHP", "efficiency"], * costs.at["waste CHP", "efficiency"],
marginal_cost=costs.at["waste CHP", "VOM"], marginal_cost=costs.at["waste CHP", "VOM"],
efficiency=costs.at["waste CHP", "efficiency"], efficiency=costs.at["waste CHP", "efficiency"],
efficiency2=costs.at['waste CHP', 'efficiency-heat'], efficiency2=costs.at["waste CHP", "efficiency-heat"],
efficiency3=costs.at["oil", "CO2 intensity"], efficiency3=costs.at["oil", "CO2 intensity"],
lifetime=costs.at["waste CHP", "lifetime"], lifetime=costs.at["waste CHP", "lifetime"],
) )
@ -2977,7 +2979,7 @@ def add_industry(n, costs):
* costs.at["waste CHP CC", "efficiency"], * costs.at["waste CHP CC", "efficiency"],
marginal_cost=costs.at["waste CHP CC", "VOM"], marginal_cost=costs.at["waste CHP CC", "VOM"],
efficiency=costs.at["waste CHP CC", "efficiency"], efficiency=costs.at["waste CHP CC", "efficiency"],
efficiency2=costs.at["waste CHP CC", 'efficiency-heat'], efficiency2=costs.at["waste CHP CC", "efficiency-heat"],
efficiency3=costs.at["oil", "CO2 intensity"] * (1 - options["cc_fraction"]), efficiency3=costs.at["oil", "CO2 intensity"] * (1 - options["cc_fraction"]),
efficiency4=costs.at["oil", "CO2 intensity"] * options["cc_fraction"], efficiency4=costs.at["oil", "CO2 intensity"] * options["cc_fraction"],
lifetime=costs.at["waste CHP CC", "lifetime"], lifetime=costs.at["waste CHP CC", "lifetime"],