bjoern/pypsa-eur
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Add non-EU28 energy demand per country and sector for today

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Use the industrial production per sector and multiply with EU28
averages for energy per sector.
This commit is contained in:
Tom Brown 2020-09-07 19:12:47 +02:00
parent 783e026ebf
commit c58f18667d
2 changed files with 16 additions and 1 deletions
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3
Snakefile
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@ -187,7 +187,8 @@ rule build_industrial_production_per_country_tomorrow:
rule build_industrial_energy_demand_per_country_today:
input:
ammonia_production="resources/ammonia_production.csv"
ammonia_production="resources/ammonia_production.csv",
industrial_production_per_country="resources/industrial_production_per_country.csv"
output:
industrial_energy_demand_per_country_today="resources/industrial_energy_demand_per_country_today.csv"
threads: 1

14
scripts/build_industrial_energy_demand_per_country_today.py
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@ -121,6 +121,20 @@ for ct in eu28:
final_summary = pd.concat(summaries,axis=1)
# add in the non-EU28 based on their output (which is derived from their energy too)
# output in MtMaterial/a
output = pd.read_csv(snakemake.input.industrial_production_per_country,
index_col=0)/1e3
eu28_averages = final_summary.groupby(level=1,axis=1).sum().divide(output.loc[eu28].sum(),axis=1)
non_eu28 = output.index^eu28
for ct in non_eu28:
print(ct)
final_summary = pd.concat((final_summary,pd.concat({ct : eu28_averages.multiply(output.loc[ct],axis=1)},axis=1)),axis=1)
final_summary.index.name = 'TWh/a'
final_summary.to_csv(snakemake.output.industrial_energy_demand_per_country_today)