Merge branch 'process'
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commit
ba52bbf5d4
@ -146,7 +146,9 @@ industry:
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'DRI_ratio' : 0.5 #ratio of today's blast-furnace steel (60% primary route, 40% secondary) to future assumption (30% primary, 70% secondary), transformed into DRI + electric arc
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'H2_DRI' : 1.7 #H2 consumption in Direct Reduced Iron (DRI), MWh_H2/ton_Steel from Vogl et al (2018) doi:10.1016/j.jclepro.2018.08.279
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'Al_to_scrap' : 0.5 # ratio of primary-route Aluminum transformed into scrap (today 40% to future 20% primary route)
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'H2_for_NH3' : 85000 # H2 for NH3 transformed from SMR to electrolyzed-H2, in GWh/year following Lechtenböhmer(2016)
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'H2_for_NH3' : 85000 # H2 in GWh/a for 17 MtNH3/a transformed from SMR to electrolyzed-H2, following Lechtenböhmer(2016)
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'NH3_process_emissions' : 24.5 # in MtCO2/a from SMR for H2 production for NH3 from UNFCCC for 2015 for EU28
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'petrochemical_process_emissions' : 25.5 # in MtCO2/a for petrochemical and other from UNFCCC for 2015 for EU28
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plotting:
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map:
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@ -26,7 +26,7 @@ sub_sheet_name_dict = { 'Iron and steel':'ISI',
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'Wood and wood products': 'WWP',
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'Other Industrial Sectors': 'OIS'}
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index = ['elec','biomass','methane','hydrogen','heat','naphtha','process emission']
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index = ['elec','biomass','methane','hydrogen','heat','naphtha','process emission','process emission from feedstock']
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df = pd.DataFrame(index=index)
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@ -302,7 +302,11 @@ s_out = excel_out.iloc[8:9,year]
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assert sector in str(s_out.index)
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df.loc['process emission',sector] += s_emi['Process emissions']/s_out.values # unit tCO2/t material
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df.loc['process emission',sector] += (s_emi['Process emissions'] - snakemake.config["industry"]['petrochemical_process_emissions']*1e3 - snakemake.config["industry"]['NH3_process_emissions']*1e3)/s_out.values # unit tCO2/t material
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#these are emissions originating from feedstock, i.e. could be non-fossil origin
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df.loc['process emission from feedstock',sector] += (snakemake.config["industry"]['petrochemical_process_emissions']*1e3)/s_out.values # unit tCO2/t material
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# final energy consumption per t
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sources=['elec','biomass', 'methane', 'hydrogen', 'heat','naphtha']
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@ -315,7 +319,6 @@ df.loc[sources,sector] = df.loc[sources,sector]*conv_factor/s_out.values# unit M
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sector = 'Other chemicals'
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df[sector] = 0
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# read the corresponding lines
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s_fec = excel_fec.iloc[58:64,year]
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@ -1219,10 +1219,6 @@ def add_industry(network):
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"Fischer-Tropsch",
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carrier="Fischer-Tropsch")
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network.add("Bus",
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"Fischer-Tropsch-demand",
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carrier="Fischer-Tropsch-demand")
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#use madd to get carrier inserted
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network.madd("Store",
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["Fischer-Tropsch Store"],
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@ -1251,29 +1247,29 @@ def add_industry(network):
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efficiency2=-costs.at["oil",'CO2 intensity']*costs.at["Fischer-Tropsch",'efficiency'],
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p_nom_extendable=True)
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#NB: CO2 gets released again to atmosphere when plastics decay or kerosene is burned
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network.madd("Link",
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["Fischer-Tropsch-demand"],
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bus0="Fischer-Tropsch",
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bus1="Fischer-Tropsch-demand",
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bus2="co2 atmosphere",
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carrier="Fischer-Tropsch-demand",
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efficiency=1.,
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efficiency2=costs.at["oil",'CO2 intensity'],
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p_nom_extendable=True)
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network.madd("Load",
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["naphtha for industry"],
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bus="Fischer-Tropsch-demand",
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bus="Fischer-Tropsch",
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carrier="naphtha for industry",
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p_set = industrial_demand.loc[nodes,"naphtha"].sum()/8760.)
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network.madd("Load",
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["kerosene for aviation"],
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bus="Fischer-Tropsch-demand",
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bus="Fischer-Tropsch",
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carrier="kerosene for aviation",
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p_set = nodal_energy_totals.loc[nodes,["total international aviation","total domestic aviation"]].sum(axis=1).sum()*1e6/8760.)
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#NB: CO2 gets released again to atmosphere when plastics decay or kerosene is burned
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#except for the process emissions when naphtha is used for petrochemicals, which can be captured with other industry process emissions
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#tco2 per hour
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co2 = network.loads.loc[["naphtha for industry","kerosene for aviation"],"p_set"].sum()*costs.at["oil",'CO2 intensity'] - industrial_demand.loc[nodes,"process emission from feedstock"].sum()/8760.
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network.madd("Load",
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["Fischer-Tropsch emissions"],
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bus="co2 atmosphere",
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carrier="Fischer-Tropsch emissions",
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p_set=-co2)
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network.madd("Load",
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nodes,
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suffix=" low-temperature heat for industry",
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@ -1298,7 +1294,7 @@ def add_industry(network):
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["process emissions"],
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bus="process emissions",
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carrier="process emissions",
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p_set = -industrial_demand.loc[nodes,"process emission"].sum()/8760.)
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p_set = -industrial_demand.loc[nodes,["process emission","process emission from feedstock"]].sum(axis=1).sum()/8760.)
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network.madd("Link",
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["process emissions"],
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