Allow storing FT fuels, cost for FT conversion, fossil FT fuels
Also include raw data/costs.csv
This commit is contained in:
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vendored
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vendored
@ -10,10 +10,15 @@ gurobi.log
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/benchmarks
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/logs
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/notebooks
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/data
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/data/timezone_mappings.csv
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/data/urban_percent.csv
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/data/links_p_nom.csv
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/data/*totals.csv
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/data/*Jensen.csv
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/data/biomass*
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/data/emobility/
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/data/eea*
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/data/jrc*
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/data/heating/
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/data/eurostat*
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/data/odyssee/
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@ -2,15 +2,15 @@ logging_level: INFO
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results_dir: 'results/'
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summary_dir: results
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run: '190418-test-rebase'
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run: '190430-ft-improve'
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scenario:
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sectors: [E] # ,E+EV,E+BEV,E+BEV+V2G] # [ E+EV, E+BEV, E+BEV+V2G ]
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simpl: ['']
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lv: [1.0,1.25]#[1.0, 1.125, 1.25, 1.5, 2.0, opt]# or opt
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lv: [1.0]#[1.0, 1.125, 1.25, 1.5, 2.0, opt]# or opt
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clusters: [128] #[90, 128, 181] #[45, 64, 90, 128, 181, 256] #, 362] # (2**np.r_[5.5:9:.5]).astype(int) minimum is 37
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opts: [''] #for pypsa-eur
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sector_opts: [Co2L0-3H-T-H-B-I,Co2L0-3H-T-H-B-I-onwind0,Co2L0p1-3H-T-H-B-I,Co2L0-3H-T-H-B-I-onwind0-solar2-offwind2]#,Co2L0p05-3H-T-H-B-I,Co2L0p10-3H-T-H-B-I,Co2L0p20-3H-T-H-B-I,Co2L0p30-3H-T-H-B-I,Co2L0p50-3H-T-H-B-I]#[Co2L-3H-T-H,Co2L0p10-3H-T-H,Co2L0-3H-T-H,Co2L0p20-3H-T-H] #Co2L-3H-T-H,Co2L0p10-3H-T-H,Co2L0p20-3H-T-HCo2L-3H-T-H,Co2L0p10-3H-T-H,Co2L0p30-3H-T-H,Co2L0p50-3H-T-H] #Co2L-3H,Co2L-3H-T,, LC-FL, LC-T, Ep-T, Co2L-T]
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sector_opts: [Co2L0-3H-T-H-B-I,Co2L0-3H-T-H-B-I-onwind0,Co2L0p1-3H-T-H-B-I,Co2L0-3H-T-H-B-I-onwind0-solar2-offwind2,Co2L0-3H-T-H-B-I-onwind0-solar3-offwind0]#,Co2L0p05-3H-T-H-B-I,Co2L0p10-3H-T-H-B-I,Co2L0p20-3H-T-H-B-I,Co2L0p30-3H-T-H-B-I,Co2L0p50-3H-T-H-B-I]#[Co2L-3H-T-H,Co2L0p10-3H-T-H,Co2L0-3H-T-H,Co2L0p20-3H-T-H] #Co2L-3H-T-H,Co2L0p10-3H-T-H,Co2L0p20-3H-T-HCo2L-3H-T-H,Co2L0p10-3H-T-H,Co2L0p30-3H-T-H,Co2L0p50-3H-T-H] #Co2L-3H,Co2L-3H-T,, LC-FL, LC-T, Ep-T, Co2L-T]
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# Co2L will give default (5%); Co2L0p25 will give 25% CO2 emissions; Co2Lm0p05 will give 5% negative emissions
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190
data/costs.csv
Normal file
190
data/costs.csv
Normal file
@ -0,0 +1,190 @@
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technology,year,parameter,value,unit,source
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solar-rooftop,2030,discount rate,0.04,per unit,standard for decentral
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onwind,2030,lifetime,25,years,IEA2010
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offwind,2030,lifetime,25,years,IEA2010
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solar,2030,lifetime,25,years,IEA2010
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solar-rooftop,2030,lifetime,25,years,IEA2010
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solar-utility,2030,lifetime,25,years,IEA2010
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PHS,2030,lifetime,80,years,IEA2010
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hydro,2030,lifetime,80,years,IEA2010
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ror,2030,lifetime,80,years,IEA2010
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OCGT,2030,lifetime,30,years,IEA2010
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nuclear,2030,lifetime,45,years,ECF2010 in DIW DataDoc http://hdl.handle.net/10419/80348
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CCGT,2030,lifetime,30,years,IEA2010
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coal,2030,lifetime,40,years,IEA2010
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lignite,2030,lifetime,40,years,IEA2010
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geothermal,2030,lifetime,40,years,IEA2010
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biomass,2030,lifetime,30,years,ECF2010 in DIW DataDoc http://hdl.handle.net/10419/80348
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oil,2030,lifetime,30,years,ECF2010 in DIW DataDoc http://hdl.handle.net/10419/80348
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onwind,2030,investment,1182,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
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offwind,2030,investment,2506,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
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solar,2030,investment,600,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
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biomass,2030,investment,2209,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
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geothermal,2030,investment,3392,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
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coal,2030,investment,1300,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348 PC (Advanced/SuperC)
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lignite,2030,investment,1500,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
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solar-rooftop,2030,investment,725,EUR/kWel,ETIP PV
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solar-utility,2030,investment,425,EUR/kWel,ETIP PV
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PHS,2030,investment,2000,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
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hydro,2030,investment,2000,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
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ror,2030,investment,3000,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
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OCGT,2030,investment,400,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
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nuclear,2030,investment,6000,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
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CCGT,2030,investment,800,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
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oil,2030,investment,400,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
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onwind,2030,FOM,2.961083,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
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offwind,2030,FOM,3.192338,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
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solar,2030,FOM,4.166667,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
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solar-rooftop,2030,FOM,2,%/year,ETIP PV
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solar-utility,2030,FOM,3,%/year,ETIP PV
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biomass,2030,FOM,4.526935,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
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geothermal,2030,FOM,2.358491,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
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coal,2030,FOM,1.923076,%/year,DIW DataDoc http://hdl.handle.net/10419/80348 PC (Advanced/SuperC)
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lignite,2030,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348 PC (Advanced/SuperC)
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oil,2030,FOM,1.5,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
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PHS,2030,FOM,1,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
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hydro,2030,FOM,1,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
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ror,2030,FOM,2,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
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CCGT,2030,FOM,2.5,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
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OCGT,2030,FOM,3.75,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
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onwind,2030,VOM,0.015,EUR/MWhel,RES costs made up to fix curtailment order
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offwind,2030,VOM,0.02,EUR/MWhel,RES costs made up to fix curtailment order
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solar,2030,VOM,0.01,EUR/MWhel,RES costs made up to fix curtailment order
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coal,2030,VOM,6,EUR/MWhel,DIW DataDoc http://hdl.handle.net/10419/80348 PC (Advanced/SuperC)
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lignite,2030,VOM,7,EUR/MWhel,DIW DataDoc http://hdl.handle.net/10419/80348
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CCGT,2030,VOM,4,EUR/MWhel,DIW DataDoc http://hdl.handle.net/10419/80348
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OCGT,2030,VOM,3,EUR/MWhel,DIW DataDoc http://hdl.handle.net/10419/80348
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nuclear,2030,VOM,8,EUR/MWhel,DIW DataDoc http://hdl.handle.net/10419/80348
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gas,2030,fuel,21.6,EUR/MWhth,IEA2011b
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uranium,2030,fuel,3,EUR/MWhth,DIW DataDoc http://hdl.handle.net/10419/80348
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oil,2030,VOM,3,EUR/MWhel,DIW DataDoc http://hdl.handle.net/10419/80348
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nuclear,2030,fuel,3,EUR/MWhth,IEA2011b
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biomass,2030,fuel,7,EUR/MWhth,IEA2011b
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coal,2030,fuel,8.4,EUR/MWhth,IEA2011b
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lignite,2030,fuel,2.9,EUR/MWhth,IEA2011b
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biogas,2030,fuel,59,EUR/MWhth,JRC and Zappa
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solid biomass,2030,fuel,25.2,EUR/MWhth,JRC and Zappa
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oil,2030,fuel,50,EUR/MWhth,IEA WEM2017 97USD/boe = http://www.iea.org/media/weowebsite/2017/WEM_Documentation_WEO2017.pdf
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PHS,2030,efficiency,0.75,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
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hydro,2030,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
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ror,2030,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
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OCGT,2030,efficiency,0.39,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
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CCGT,2030,efficiency,0.5,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
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biomass,2030,efficiency,0.468,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
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geothermal,2030,efficiency,0.239,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
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nuclear,2030,efficiency,0.337,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
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gas,2030,CO2 intensity,0.187,tCO2/MWth,https://www.eia.gov/environment/emissions/co2_vol_mass.php
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coal,2030,efficiency,0.464,per unit,DIW DataDoc http://hdl.handle.net/10419/80348 PC (Advanced/SuperC)
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lignite,2030,efficiency,0.447,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
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oil,2030,efficiency,0.393,per unit,DIW DataDoc http://hdl.handle.net/10419/80348 CT
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coal,2030,CO2 intensity,0.354,tCO2/MWth,https://www.eia.gov/environment/emissions/co2_vol_mass.php
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lignite,2030,CO2 intensity,0.4,tCO2/MWth,German sources
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oil,2030,CO2 intensity,0.248,tCO2/MWth,https://www.eia.gov/environment/emissions/co2_vol_mass.php
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geothermal,2030,CO2 intensity,0.026,tCO2/MWth,https://www.eia.gov/environment/emissions/co2_vol_mass.php
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solid biomass,2030,CO2 intensity,0.3,tCO2/MWth,TODO
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electrolysis,2030,investment,350,EUR/kWel,Palzer Thesis
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electrolysis,2030,FOM,4,%/year,NREL http://www.nrel.gov/docs/fy09osti/45873.pdf; budischak2013
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electrolysis,2030,lifetime,18,years,NREL http://www.nrel.gov/docs/fy09osti/45873.pdf; budischak2013
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electrolysis,2030,efficiency,0.8,per unit,NREL http://www.nrel.gov/docs/fy09osti/45873.pdf; budischak2013
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fuel cell,2030,investment,339,EUR/kWel,NREL http://www.nrel.gov/docs/fy09osti/45873.pdf; budischak2013
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fuel cell,2030,FOM,3,%/year,NREL http://www.nrel.gov/docs/fy09osti/45873.pdf; budischak2013
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fuel cell,2030,lifetime,20,years,NREL http://www.nrel.gov/docs/fy09osti/45873.pdf; budischak2013
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fuel cell,2030,efficiency,0.58,per unit,NREL http://www.nrel.gov/docs/fy09osti/45873.pdf; budischak2013 conservative 2020
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hydrogen storage,2030,investment,11.2,USD/kWh,budischak2013
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hydrogen storage,2030,lifetime,20,years,budischak2013
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methanation,2030,investment,1000,EUR/kWH2,Schaber thesis
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methanation,2030,lifetime,25,years,Schaber thesis
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methanation,2030,FOM,3,%/year,Schaber thesis
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methanation,2030,efficiency,0.8,per unit,Palzer and Schaber thesis
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helmeth,2030,investment,2000,EUR/kW,no source
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helmeth,2030,lifetime,25,years,no source
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helmeth,2030,FOM,3,%/year,no source
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helmeth,2030,efficiency,0.8,per unit,HELMETH press release
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Fischer-Tropsch,2030,investment,677.6,EUR/kWH2,Fasihi doi:10.3390/su9020306 (60 kEUR/bpd = 847 EUR/kWL (1b = 1.7 MWh) 847*0.8 = 677.6)
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Fischer-Tropsch,2030,lifetime,30,years,doi:10.3390/su9020306
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Fischer-Tropsch,2030,FOM,3,%/year,doi:10.3390/su9020306
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Fischer-Tropsch,2030,efficiency,0.8,per unit,TODO
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DAC,2030,investment,250,EUR/(tCO2/a),Fasihi doi:10.3390/su9020306/Climeworks
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DAC,2030,lifetime,30,years,Fasihi
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DAC,2030,FOM,4,%/year,Fasihi
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battery inverter,2030,investment,411,USD/kWel,budischak2013
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battery inverter,2030,lifetime,20,years,budischak2013
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battery inverter,2030,efficiency,0.81,per unit,budischak2013; Lund and Kempton (2008) http://dx.doi.org/10.1016/j.enpol.2008.06.007
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battery inverter,2030,FOM,3,%/year,budischak2013
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battery storage,2030,investment,192,USD/kWh,budischak2013
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battery storage,2030,lifetime,15,years,budischak2013
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decentral air-sourced heat pump,2030,investment,1050,EUR/kWth,HP; Palzer thesis
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decentral air-sourced heat pump,2030,lifetime,20,years,HP; Palzer thesis
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decentral air-sourced heat pump,2030,FOM,3.5,%/year,Palzer thesis
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decentral air-sourced heat pump,2030,efficiency,3,per unit,default for costs
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decentral air-sourced heat pump,2030,discount rate,0.04,per unit,Palzer thesis
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decentral ground-sourced heat pump,2030,investment,1400,EUR/kWth,Palzer thesis
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decentral ground-sourced heat pump,2030,lifetime,20,years,Palzer thesis
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decentral ground-sourced heat pump,2030,FOM,3.5,%/year,Palzer thesis
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decentral ground-sourced heat pump,2030,efficiency,4,per unit,default for costs
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decentral ground-sourced heat pump,2030,discount rate,0.04,per unit,Palzer thesis
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central air-sourced heat pump,2030,investment,700,EUR/kWth,Palzer thesis
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central air-sourced heat pump,2030,lifetime,20,years,Palzer thesis
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central air-sourced heat pump,2030,FOM,3.5,%/year,Palzer thesis
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central air-sourced heat pump,2030,efficiency,3,per unit,default for costs
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retrofitting I,2030,discount rate,0.04,per unit,Palzer thesis
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retrofitting I,2030,lifetime,50,years,Palzer thesis
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retrofitting I,2030,FOM,1,%/year,Palzer thesis
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retrofitting I,2030,investment,50,EUR/m2/fraction reduction,Palzer thesis
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retrofitting II,2030,discount rate,0.04,per unit,Palzer thesis
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retrofitting II,2030,lifetime,50,years,Palzer thesis
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retrofitting II,2030,FOM,1,%/year,Palzer thesis
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retrofitting II,2030,investment,250,EUR/m2/fraction reduction,Palzer thesis
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water tank charger,2030,efficiency,0.9,per unit,HP
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water tank discharger,2030,efficiency,0.9,per unit,HP
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decentral water tank storage,2030,investment,860,EUR/m3,IWES Interaktion
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decentral water tank storage,2030,FOM,1,%/year,HP
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decentral water tank storage,2030,lifetime,20,years,HP
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decentral water tank storage,2030,discount rate,0.04,per unit,Palzer thesis
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central water tank storage,2030,investment,30,EUR/m3,IWES Interaktion
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central water tank storage,2030,FOM,1,%/year,HP
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central water tank storage,2030,lifetime,40,years,HP
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decentral resistive heater,2030,investment,100,EUR/kWhth,Schaber thesis
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decentral resistive heater,2030,lifetime,20,years,Schaber thesis
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decentral resistive heater,2030,FOM,2,%/year,Schaber thesis
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decentral resistive heater,2030,efficiency,0.9,per unit,Schaber thesis
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decentral resistive heater,2030,discount rate,0.04,per unit,Palzer thesis
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central resistive heater,2030,investment,100,EUR/kWhth,Schaber thesis
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central resistive heater,2030,lifetime,20,years,Schaber thesis
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central resistive heater,2030,FOM,2,%/year,Schaber thesis
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central resistive heater,2030,efficiency,0.9,per unit,Schaber thesis
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decentral gas boiler,2030,investment,175,EUR/kWhth,Palzer thesis
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decentral gas boiler,2030,lifetime,20,years,Palzer thesis
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decentral gas boiler,2030,FOM,2,%/year,Palzer thesis
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decentral gas boiler,2030,efficiency,0.9,per unit,Palzer thesis
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decentral gas boiler,2030,discount rate,0.04,per unit,Palzer thesis
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central gas boiler,2030,investment,63,EUR/kWhth,Palzer thesis
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central gas boiler,2030,lifetime,22,years,Palzer thesis
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central gas boiler,2030,FOM,1,%/year,Palzer thesis
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central gas boiler,2030,efficiency,0.9,per unit,Palzer thesis
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decentral CHP,2030,lifetime,25,years,HP
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decentral CHP,2030,investment,1400,EUR/kWel,HP
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decentral CHP,2030,FOM,3,%/year,HP
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decentral CHP,2030,discount rate,0.04,per unit,Palzer thesis
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central CHP,2030,lifetime,25,years,HP
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central CHP,2030,investment,650,EUR/kWel,HP
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central CHP,2030,FOM,3,%/year,HP
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decentral solar thermal,2030,discount rate,0.04,per unit,Palzer thesis
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decentral solar thermal,2030,FOM,1.3,%/year,HP
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decentral solar thermal,2030,investment,270000,EUR/1000m2,HP
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decentral solar thermal,2030,lifetime,20,years,HP
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central solar thermal,2030,FOM,1.4,%/year,HP
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central solar thermal,2030,investment,140000,EUR/1000m2,HP
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central solar thermal,2030,lifetime,20,years,HP
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HVAC overhead,2030,investment,400,EUR/MW/km,Hagspiel
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HVAC overhead,2030,lifetime,40,years,Hagspiel
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HVAC overhead,2030,FOM,2,%/year,Hagspiel
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HVDC overhead,2030,investment,400,EUR/MW/km,Hagspiel
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HVDC overhead,2030,lifetime,40,years,Hagspiel
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HVDC overhead,2030,FOM,2,%/year,Hagspiel
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HVDC submarine,2030,investment,2000,EUR/MW/km,Own analysis of European submarine HVDC projects since 2000
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HVDC submarine,2030,lifetime,40,years,Hagspiel
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HVDC submarine,2030,FOM,2,%/year,Hagspiel
|
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HVDC inverter pair,2030,investment,150000,EUR/MW,Hagspiel
|
||||
HVDC inverter pair,2030,lifetime,40,years,Hagspiel
|
||||
HVDC inverter pair,2030,FOM,2,%/year,Hagspiel
|
|
@ -1139,23 +1139,45 @@ def add_industry(network):
|
||||
"Fischer-Tropsch",
|
||||
carrier="Fischer-Tropsch")
|
||||
|
||||
#TODO: Add capital cost
|
||||
#NB: CO2 gets released again to atmosphere when plastics decay or kerosene is burned
|
||||
network.add("Bus",
|
||||
"Fischer-Tropsch-demand",
|
||||
carrier="Fischer-Tropsch")
|
||||
|
||||
#use madd to get carrier inserted
|
||||
network.madd("Store",
|
||||
["Fischer-Tropsch Store"],
|
||||
bus="Fischer-Tropsch",
|
||||
e_nom_extendable=True,
|
||||
#force fossil to be empty at end of period; can start higher to represent fossil input
|
||||
e_max_pu=pd.DataFrame({ "Fischer-Tropsch Store" : pd.Series([1.]*(len(network.snapshots)-1)+[0.],index=network.snapshots)}),
|
||||
carrier="Fischer-Tropsch",
|
||||
marginal_cost=costs.at["oil",'fuel'])
|
||||
|
||||
network.madd("Link",
|
||||
nodes + " Fischer-Tropsch",
|
||||
bus0=nodes + " H2",
|
||||
bus1="Fischer-Tropsch",
|
||||
bus2="co2 stored",
|
||||
bus3="co2 atmosphere",
|
||||
carrier="Fischer-Tropsch",
|
||||
efficiency=0.8,
|
||||
efficiency2=-0.26*0.8,
|
||||
efficiency3=0.26*0.8,
|
||||
efficiency=costs.at["Fischer-Tropsch",'efficiency'],
|
||||
capital_cost=costs.at["Fischer-Tropsch",'fixed'],
|
||||
efficiency2=-costs.at["oil",'CO2 intensity']*costs.at["Fischer-Tropsch",'efficiency'],
|
||||
p_nom_extendable=True)
|
||||
|
||||
#NB: CO2 gets released again to atmosphere when plastics decay or kerosene is burned
|
||||
network.madd("Link",
|
||||
["Fischer-Tropsch-demand"],
|
||||
bus0="Fischer-Tropsch",
|
||||
bus1="Fischer-Tropsch-demand",
|
||||
bus2="co2 atmosphere",
|
||||
carrier="Fischer-Tropsch-demand",
|
||||
efficiency=1.,
|
||||
efficiency2=costs.at["oil",'CO2 intensity'],
|
||||
p_nom_extendable=True)
|
||||
|
||||
network.add("Load",
|
||||
"Fischer-Tropsch",
|
||||
bus="Fischer-Tropsch",
|
||||
bus="Fischer-Tropsch-demand",
|
||||
p_set = industrial_demand.loc[nodes,["aviation kerosene","naphtha feedstock"]].sum().sum()/8760.)
|
||||
|
||||
network.madd("Load",
|
||||
|
Loading…
Reference in New Issue
Block a user