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Merge branch 'master' of github.com:nworbmot/pypsa-eur-sec

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Tom Brown 2019-11-27 18:36:01 +01:00
commit 6cbd3384e4
2 changed files with 12 additions and 6 deletions
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6
config.yaml
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@ -147,6 +147,12 @@ solving:
#barrier_convergetol: 1.e-5
#feasopt_tolerance: 1.e-6
industry:
'DRI_ratio' : 0.5 #ratio of blast-furnace steel transformed into DRI + electric arc
'H2_DRI' : 1.7 #H2 consumption in Direct Reduced Iron (DRI), MWh_H2/ton_Steel
'Al_to_scrap' : 0.5 # ratio of primary-route Aluminum transformed into scrap
'H2_for_NH3' : 85000 # H2 for NH3 transformed from SMR to electrolyzed-H2, in GWh/year following Lechtenböhmer(2016)
plotting:
map:
figsize: [7, 7]

12
scripts/build_industry_sector_ratios.py
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@ -163,8 +163,8 @@ df.loc[['elec','heat','methane'],sector] = df.loc[['elec','heat','methane'],sect
df['Integrated steelworks']=df['Electric arc']
# adding the Hydrogen necessary for the Direct Reduction of Iron. consumption 1.7 MWh H2 /ton steel
#(0.5 becuase only half of the steel requires DRI, the rest is scrap metal)
df.loc['hydrogen', 'Integrated steelworks'] =1.7 * 0.5
#(0.5 because only half of the steel requires DRI, the rest is scrap metal)
df.loc['hydrogen', 'Integrated steelworks'] =snakemake.config["industry"]["H2_DRI"] * snakemake.config["industry"]["DRI_ratio"]
## Chemicals Industry
@ -220,8 +220,8 @@ df.loc['naphtha',sector] += s_fec['Naphtha']
# natural gas
# 85 TWh/year of methane for the ammonia industry are substituted by hydrogen
df.loc['methane',sector] += s_fec['Natural gas'] - 85000/conv_factor
df.loc['hydrogen',sector] += 85000/conv_factor
df.loc['methane',sector] += s_fec['Natural gas'] - snakemake.config["industry"]["H2_for_NH3"]/conv_factor
df.loc['hydrogen',sector] += snakemake.config["industry"]["H2_for_NH3"]/conv_factor
# 1 ktoe = 11630 MWh
# LPG and other feedstock materials are assimilated to naphtha since they will be produced trough Fischer-Tropsh process
@ -1050,8 +1050,8 @@ df.loc[sources,sector] = df.loc[sources,sector]*conv_factor/s_out['Aluminium - s
# 1 ktoe = 11630 MWh
# primary route is divided into 50% remains as today and 50% is transformed into secondary route
df.loc[sources,'Aluminium - primary production'] = 0.5*df.loc[sources,'Aluminium - primary production'] + 0.5*df.loc[sources,'Aluminium - secondary production']
df.loc['process emission','Aluminium - primary production'] = 0.5*df.loc['process emission','Aluminium - primary production']
df.loc[sources,'Aluminium - primary production'] = (1-snakemake.config["industry"]["Al_to_scrap"])*df.loc[sources,'Aluminium - primary production'] + snakemake.config["industry"]["Al_to_scrap"]*df.loc[sources,'Aluminium - secondary production']
df.loc['process emission','Aluminium - primary production'] = (1-snakemake.config["industry"]["Al_to_scrap"])*df.loc['process emission','Aluminium - primary production']
### Other non-ferrous metals