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Merge pull request #1061 from PyPSA/bug-fix-rename-GR

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rename Greece iso-code
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Fabian Neumann 2024-05-13 17:42:19 +02:00 committed by GitHub
commit 39f2fdd7bc
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2 changed files with 30 additions and 20 deletions
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1
scripts/build_energy_totals.py
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@ -142,6 +142,7 @@ def build_eurostat(input_eurostat, countries, nprocesses=1, disable_progressbar=
"Domestic navigation": "Domestic Navigation",
"International maritime bunkers": "Bunkers",
"UK": "GB",
"EL": "GR",
}
columns_rename = {"Total": "Total all products"}
df.rename(index=index_rename, columns=columns_rename, inplace=True)

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