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

Separate ammonia from basic chemicals in today's industry energy

Browse Source
This commit is contained in:
Tom Brown 2020-09-07 18:41:07 +02:00
parent 04629b5113
commit 783e026ebf
2 changed files with 22 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
Snakefile
View File

@ -186,6 +186,8 @@ rule build_industrial_production_per_country_tomorrow:
script: 'scripts/build_industrial_production_per_country_tomorrow.py' script: 'scripts/build_industrial_production_per_country_tomorrow.py'
rule build_industrial_energy_demand_per_country_today: rule build_industrial_energy_demand_per_country_today:
input:
ammonia_production="resources/ammonia_production.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

21
scripts/build_industrial_energy_demand_per_country_today.py
View File

@ -71,6 +71,11 @@ summaries = {}
ois_subs = ['Mining and quarrying','Construction','Non-specified'] ois_subs = ['Mining and quarrying','Construction','Non-specified']
#MtNH3/a
ammonia = pd.read_csv(snakemake.input.ammonia_production,
index_col=0)/1e3
for ct in eu28: for ct in eu28:
print(ct) print(ct)
@ -98,7 +103,21 @@ for ct in eu28:
summary['Other Industrial Sectors'] = summary[ois_subs].sum(axis=1) summary['Other Industrial Sectors'] = summary[ois_subs].sum(axis=1)
summary.drop(columns=ois_subs,inplace=True) summary.drop(columns=ois_subs,inplace=True)
summaries[ct] = summary*ktoe_to_twh summary.drop(index=['all'],inplace=True)
summary *= ktoe_to_twh
summary['Basic chemicals'] += summary['Basic chemicals feedstock']
summary.drop(columns=['Basic chemicals feedstock'], inplace=True)
summary['Ammonia'] = 0.
summary.at['gas','Ammonia'] = snakemake.config['industry']['MWh_CH4_per_tNH3_SMR']*ammonia[str(year)].get(ct,0.)
summary.at['electricity','Ammonia'] = snakemake.config['industry']['MWh_elec_per_tNH3_SMR']*ammonia[str(year)].get(ct,0.)
summary['Basic chemicals (without ammonia)'] = summary['Basic chemicals'] - summary['Ammonia']
summary.loc[summary['Basic chemicals (without ammonia)'] < 0, 'Basic chemicals (without ammonia)'] = 0.
summary.drop(columns=['Basic chemicals'], inplace=True)
summaries[ct] = summary
final_summary = pd.concat(summaries,axis=1) final_summary = pd.concat(summaries,axis=1)