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

Add non-EU28 energy demand per country and sector for today

Browse Source 
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
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
Snakefile
View File

@ -187,7 +187,8 @@ rule build_industrial_production_per_country_tomorrow:
rule build_industrial_energy_demand_per_country_today: rule build_industrial_energy_demand_per_country_today:
input: input:
ammonia_production="resources/ammonia_production.csv" ammonia_production="resources/ammonia_production.csv",
industrial_production_per_country="resources/industrial_production_per_country.csv"
output: output:
industrial_energy_demand_per_country_today="resources/industrial_energy_demand_per_country_today.csv" industrial_energy_demand_per_country_today="resources/industrial_energy_demand_per_country_today.csv"
threads: 1 threads: 1

14
scripts/build_industrial_energy_demand_per_country_today.py
View File

@ -121,6 +121,20 @@ for ct in eu28:
final_summary = pd.concat(summaries,axis=1) 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.index.name = 'TWh/a'
final_summary.to_csv(snakemake.output.industrial_energy_demand_per_country_today) final_summary.to_csv(snakemake.output.industrial_energy_demand_per_country_today)