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lisazeyen 2024-07-29 13:36:06 +02:00
parent 7451349fed
commit c99cd72727
1 changed files with 6 additions and 9 deletions
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15
scripts/build_energy_totals.py
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@ -360,10 +360,8 @@ def idees_per_country(ct: str, base_dir: str) -> pd.DataFrame:
assert df.index[40] == "Electricity"
ct_totals["electricity residential"] = df.iloc[40]
# TODO derived heat changed to distributed heat and numbers changed as well!
# this needs to be checked
assert df.index[39] == "Distributed heat"
ct_totals["derived heat residential"] = df.iloc[39]
ct_totals["distributed heat residential"] = df.iloc[39]
assert df.index[43] == "Thermal uses"
ct_totals["thermal uses residential"] = df.iloc[43]
@ -395,9 +393,8 @@ def idees_per_country(ct: str, base_dir: str) -> pd.DataFrame:
assert df.index[43] == "Electricity"
ct_totals["electricity services"] = df.iloc[43]
# TODO check derived heat changed to distributed heat
assert df.index[42] == "Distributed heat"
ct_totals["derived heat services"] = df.iloc[42]
ct_totals["distributed heat services"] = df.iloc[42]
assert df.index[46] == "Thermal uses"
ct_totals["thermal uses services"] = df.iloc[46]
@ -900,14 +897,14 @@ def build_district_heat_share(countries: List[str], idees: pd.DataFrame) -> pd.S
Notes
-----
- The function calculates the district heating share as the sum of residential and services derived heat, divided by the sum of residential and services thermal uses.
- The function calculates the district heating share as the sum of residential and services distributed heat, divided by the sum of residential and services thermal uses.
- The district heating share is then reindexed to match the provided list of countries.
- Missing district heating shares are filled from `data/district_heat_share.csv`.
- The function makes a conservative assumption and takes the minimum district heating share from both the IDEES data and `data/district_heat_share.csv`.
"""
# district heating share
district_heat = idees[["derived heat residential", "derived heat services"]].sum(
district_heat = idees[["distributed heat residential", "distributed heat services"]].sum(
axis=1
)
total_heat = (
@ -1265,7 +1262,7 @@ def rescale_idees_from_eurostat(
"total residential water",
"total residential cooking",
"total residential",
"derived heat residential",
"distributed heat residential",
"thermal uses residential",
],
"elec": [
@ -1281,7 +1278,7 @@ def rescale_idees_from_eurostat(
"total services water",
"total services cooking",
"total services",
"derived heat services",
"distributed heat services",
"thermal uses services",
],
"elec": [