Snakefile add rule 'retrieve_cost_data'
update cost.csv to default year 2030 add_electricity.py: adjust to new format
This commit is contained in:
Fabian
parent
04f19f214d
commit
2b6fb0ee66
@ -65,6 +65,8 @@ if config['enable'].get('retrieve_databundle', True):
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log: "logs/retrieve_databundle.log"
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script: 'scripts/retrieve_databundle.py'
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rule build_powerplants:
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input:
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base_network="networks/base.nc",
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@ -162,6 +164,13 @@ if config['enable'].get('retrieve_natura_raster', True):
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log: "logs/retrieve_natura_raster.log"
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script: 'scripts/retrieve_natura_raster.py'
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rule retrieve_cost_data:
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params:
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year = config['costs']['year'],
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version = config['costs']['version'],
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output: COSTS
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shell: 'curl https://raw.githubusercontent.com/PyPSA/technology-data/{params.version}/outputs/costs_{params.year}.csv -o {output}'
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rule build_renewable_profiles:
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input:
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base_network="networks/base.nc",
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503
data/costs.csv
503
data/costs.csv
@ -1,195 +1,308 @@
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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,30,years,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
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offwind,2030,lifetime,30,years,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
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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,1040,EUR/kWel,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
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offwind,2030,investment,1640,EUR/kWel,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
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offwind-ac-station,2030,investment,250,EUR/kWel,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
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offwind-ac-connection-submarine,2030,investment,2685,EUR/MW/km,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
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offwind-ac-connection-underground,2030,investment,1342,EUR/MW/km,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
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offwind-dc-station,2030,investment,400,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction
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offwind-dc-connection-submarine,2030,investment,2000,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf
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offwind-dc-connection-underground,2030,investment,1000,EUR/MW/km,Haertel 2017; average + 13% learning reduction
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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,2.450549,%/year,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
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offwind,2030,FOM,2.304878,%/year,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
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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,2.3,EUR/MWhel,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
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offwind,2030,VOM,2.7,EUR/MWhel,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
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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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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,0.334,tCO2/MWth,https://www.eia.gov/environment/emissions/co2_vol_mass.php
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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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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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hydrogen underground storage,2030,investment,0.5,EUR/kWh,maximum from https://www.nrel.gov/docs/fy10osti/46719.pdf
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hydrogen underground storage,2030,lifetime,40,years,http://www.acatech.de/fileadmin/user_upload/Baumstruktur_nach_Website/Acatech/root/de/Publikationen/Materialien/ESYS_Technologiesteckbrief_Energiespeicher.pdf
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H2 pipeline,2030,investment,267,EUR/MW/km,Welder et al https://doi.org/10.1016/j.ijhydene.2018.12.156
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H2 pipeline,2030,lifetime,40,years,Krieg2012 http://juser.fz-juelich.de/record/136392/files/Energie%26Umwelt_144.pdf
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H2 pipeline,2030,FOM,5,%/year,Krieg2012 http://juser.fz-juelich.de/record/136392/files/Energie%26Umwelt_144.pdf
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H2 pipeline,2030,efficiency,0.98,per unit,Krieg2012 http://juser.fz-juelich.de/record/136392/files/Energie%26Umwelt_144.pdf
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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,0.6,per unit,Palzer; Breyer for DAC
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helmeth,2030,investment,1000,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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DAC,2030,investment,250,EUR/(tCO2/a),Fasihi/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,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf
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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
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HVDC inverter pair,2030,lifetime,40,years,Hagspiel
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HVDC inverter pair,2030,FOM,2,%/year,Hagspiel
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technology,parameter,value,unit,source,further description
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CCGT,FOM,3.35,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","05 Gas turb. CC, steam extract.: Fixed O&M"
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CCGT,VOM,4.2,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","05 Gas turb. CC, steam extract.: Variable O&M"
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CCGT,c_b,2.0,50oC/100oC,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","05 Gas turb. CC, steam extract.: Cb coefficient"
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CCGT,c_v,0.15,50oC/100oC,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","05 Gas turb. CC, steam extract.: Cv coefficient"
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CCGT,efficiency,0.58,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","05 Gas turb. CC, steam extract.: Electricity efficiency, annual average"
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CCGT,investment,830.0,EUR/kW,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","05 Gas turb. CC, steam extract.: Nominal investment"
|
||||
CCGT,lifetime,25.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","05 Gas turb. CC, steam extract.: Technical lifetime"
|
||||
DAC,FOM,4.0,%/year,Fasihi, from old pypsa cost assumptions
|
||||
DAC,investment,383.0,EUR/(tCO2/a),Fasihi,
|
||||
DAC,lifetime,30.0,years,Fasihi, from old pypsa cost assumptions
|
||||
Fischer-Tropsch,FOM,3.0,%/year,doi:10.3390/su9020306, from old pypsa cost assumptions
|
||||
Fischer-Tropsch,efficiency,0.8,per unit,TODO, from old pypsa cost assumptions
|
||||
Fischer-Tropsch,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), from old pypsa cost assumptions
|
||||
Fischer-Tropsch,lifetime,30.0,years,doi:10.3390/su9020306, from old pypsa cost assumptions
|
||||
Gasnetz,FOM,2.5,%,"WEGE ZU EINEM KLIMANEUTRALEN ENERGIESYSEM, Anhang zur Studie, Fraunhofer-Institut für Solare Energiesysteme ISE, Freiburg",Gasnetz
|
||||
Gasnetz,investment,28.0,EUR/kWGas,"WEGE ZU EINEM KLIMANEUTRALEN ENERGIESYSEM, Anhang zur Studie, Fraunhofer-Institut für Solare Energiesysteme ISE, Freiburg",Gasnetz
|
||||
Gasnetz,lifetime,30.0,years,"WEGE ZU EINEM KLIMANEUTRALEN ENERGIESYSEM, Anhang zur Studie, Fraunhofer-Institut für Solare Energiesysteme ISE, Freiburg",Gasnetz
|
||||
H2 pipeline,FOM,3.0,%/year,TODO, from old pypsa cost assumptions
|
||||
H2 pipeline,investment,267.0,EUR/MW/km,Welder et al https://doi.org/10.1016/j.ijhydene.2018.12.156, from old pypsa cost assumptions
|
||||
H2 pipeline,lifetime,40.0,years,TODO, from old pypsa cost assumptions
|
||||
HVAC overhead,FOM,2.0,%/year,Hagspiel, from old pypsa cost assumptions
|
||||
HVAC overhead,investment,400.0,EUR/MW/km,Hagspiel, from old pypsa cost assumptions
|
||||
HVAC overhead,lifetime,40.0,years,Hagspiel, from old pypsa cost assumptions
|
||||
HVDC inverter pair,FOM,2.0,%/year,Hagspiel, from old pypsa cost assumptions
|
||||
HVDC inverter pair,investment,150000.0,EUR/MW,Hagspiel, from old pypsa cost assumptions
|
||||
HVDC inverter pair,lifetime,40.0,years,Hagspiel, from old pypsa cost assumptions
|
||||
HVDC overhead,FOM,2.0,%/year,Hagspiel, from old pypsa cost assumptions
|
||||
HVDC overhead,investment,400.0,EUR/MW/km,Hagspiel, from old pypsa cost assumptions
|
||||
HVDC overhead,lifetime,40.0,years,Hagspiel, from old pypsa cost assumptions
|
||||
HVDC submarine,FOM,2.0,%/year,Hagspiel, from old pypsa cost assumptions
|
||||
HVDC submarine,investment,2000.0,EUR/MW/km,Own analysis of European submarine HVDC projects since 2000, from old pypsa cost assumptions
|
||||
HVDC submarine,lifetime,40.0,years,Hagspiel, from old pypsa cost assumptions
|
||||
OCGT,FOM,1.78,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",52 OCGT - Natural gas: Fixed O&M
|
||||
OCGT,VOM,4.5,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",52 OCGT - Natural gas: Variable O&M
|
||||
OCGT,efficiency,0.41,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","52 OCGT - Natural gas: Electricity efficiency, annual average"
|
||||
OCGT,investment,435.24,EUR/kW,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",52 OCGT - Natural gas: Specific investment
|
||||
OCGT,lifetime,25.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",52 OCGT - Natural gas: Technical lifetime
|
||||
PHS,FOM,1.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
PHS,efficiency,0.75,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
PHS,investment,2208.16,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
PHS,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions
|
||||
SMR,FOM,5.4,%/year,https://www.gov.uk/government/publications/hydrogen-supply-chain-evidence-base; slide 42 assumption for 2030, from old pypsa cost assumptions
|
||||
SMR,efficiency,0.74,per unit,https://www.gov.uk/government/publications/hydrogen-supply-chain-evidence-base; slide 42 assumption for 2030, from old pypsa cost assumptions
|
||||
SMR,investment,540.56,EUR/kWCH4,https://www.gov.uk/government/publications/hydrogen-supply-chain-evidence-base; slide 42 assumption for 2030; GBP 466 exchange 1.16, from old pypsa cost assumptions
|
||||
SMR,lifetime,25.0,years,TODO, from old pypsa cost assumptions
|
||||
SMR CCS,FOM,5.4,%/year,https://www.gov.uk/government/publications/hydrogen-supply-chain-evidence-base; slide 42 assumption for 2030, from old pypsa cost assumptions
|
||||
SMR CCS,efficiency,0.67,per unit,https://www.gov.uk/government/publications/hydrogen-supply-chain-evidence-base; slide 42 assumption for 2030; CCS uses 10% of gas, from old pypsa cost assumptions
|
||||
SMR CCS,investment,1032.0,EUR/kWCH4,https://www.gov.uk/government/publications/hydrogen-supply-chain-evidence-base; slide 42 assumption for 2030; GBP 466 exchange 1.16; CCS costed at 300 EUR/tCO2/a, from old pypsa cost assumptions
|
||||
SMR CCS,lifetime,25.0,years,TODO, from old pypsa cost assumptions
|
||||
battery inverter,FOM,0.34,%/year,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",: Fixed O&M
|
||||
battery inverter,efficiency,0.96,per unit,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",: Round trip efficiency DC
|
||||
battery inverter,investment,160.0,EUR/kW,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",: Output capacity expansion cost investment
|
||||
battery inverter,lifetime,25.0,years,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",: Technical lifetime
|
||||
battery storage,investment,142.0,EUR/kWh,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",: Energy storage expansion cost investment
|
||||
battery storage,lifetime,25.0,years,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",: Technical lifetime
|
||||
biogas,fuel,59.0,EUR/MWhth,JRC and Zappa, from old pypsa cost assumptions
|
||||
biogas upgrading,FOM,2.49,%/year,"Danish Energy Agency, data_sheets_for_renewable_fuels_-_0003.xlsx","82 Biogas, upgrading: Fixed O&M "
|
||||
biogas upgrading,VOM,3.18,EUR/MWh input,"Danish Energy Agency, data_sheets_for_renewable_fuels_-_0003.xlsx","82 Biogas, upgrading: Variable O&M"
|
||||
biogas upgrading,investment,381.0,EUR/kW input,"Danish Energy Agency, data_sheets_for_renewable_fuels_-_0003.xlsx","82 Biogas, upgrading: investment (upgrading, methane redution and grid injection)"
|
||||
biogas upgrading,lifetime,15.0,years,"Danish Energy Agency, data_sheets_for_renewable_fuels_-_0003.xlsx","82 Biogas, upgrading: Technical lifetime"
|
||||
biomass,FOM,4.53,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
biomass,efficiency,0.47,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
biomass,fuel,7.0,EUR/MWhth,IEA2011b, from old pypsa cost assumptions
|
||||
biomass,investment,2209.0,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
biomass,lifetime,30.0,years,ECF2010 in DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
biomass CHP,FOM,3.58,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Fixed O&M"
|
||||
biomass CHP,VOM,2.1,EUR/MWh_e,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Variable O&M "
|
||||
biomass CHP,c_b,0.46,40°C/80°C,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Cb coefficient"
|
||||
biomass CHP,c_v,1.0,40°C/80°C,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Cv coefficient"
|
||||
biomass CHP,efficiency,0.3,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Electricity efficiency, net, annual average"
|
||||
biomass CHP,efficiency-heat,0.71,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Heat efficiency, net, annual average"
|
||||
biomass CHP,investment,3210.28,EUR/kW_e,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Nominal investment "
|
||||
biomass CHP,lifetime,25.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Technical lifetime"
|
||||
biomass EOP,FOM,3.58,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Fixed O&M"
|
||||
biomass EOP,VOM,2.1,EUR/MWh_e,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Variable O&M "
|
||||
biomass EOP,c_b,0.46,40°C/80°C,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Cb coefficient"
|
||||
biomass EOP,c_v,1.0,40°C/80°C,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Cv coefficient"
|
||||
biomass EOP,efficiency,0.3,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Electricity efficiency, net, annual average"
|
||||
biomass EOP,efficiency-heat,0.71,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Heat efficiency, net, annual average"
|
||||
biomass EOP,investment,3210.28,EUR/kW_e,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Nominal investment "
|
||||
biomass EOP,lifetime,25.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw, Large, 40 degree: Technical lifetime"
|
||||
biomass HOP,FOM,5.75,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw HOP: Fixed O&M, heat output"
|
||||
biomass HOP,VOM,2.78,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",09c Straw HOP: Variable O&M heat output
|
||||
biomass HOP,efficiency,1.03,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09c Straw HOP: Total efficiency , net, annual average"
|
||||
biomass HOP,investment,832.63,EUR/kW_th - heat output,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",09c Straw HOP: Nominal investment
|
||||
biomass HOP,lifetime,25.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",09c Straw HOP: Technical lifetime
|
||||
central air-sourced heat pump,FOM,0.23,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","40 Comp. hp, airsource 3 MW: Fixed O&M"
|
||||
central air-sourced heat pump,VOM,2.51,EUR/MWh_th,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","40 Comp. hp, airsource 3 MW: Variable O&M"
|
||||
central air-sourced heat pump,efficiency,3.6,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","40 Comp. hp, airsource 3 MW: Total efficiency , net, annual average"
|
||||
central air-sourced heat pump,investment,856.25,EUR/kW_th,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","40 Comp. hp, airsource 3 MW: Specific investment"
|
||||
central air-sourced heat pump,lifetime,25.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","40 Comp. hp, airsource 3 MW: Technical lifetime"
|
||||
central coal CHP,FOM,1.63,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",01 Coal CHP: Fixed O&M
|
||||
central coal CHP,VOM,2.84,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",01 Coal CHP: Variable O&M
|
||||
central coal CHP,c_b,1.01,50oC/100oC,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",01 Coal CHP: Cb coefficient
|
||||
central coal CHP,c_v,0.15,50oC/100oC,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",01 Coal CHP: Cv coefficient
|
||||
central coal CHP,efficiency,0.52,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","01 Coal CHP: Electricity efficiency, condensation mode, net"
|
||||
central coal CHP,investment,1860.47,EUR/kW,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",01 Coal CHP: Nominal investment
|
||||
central coal CHP,lifetime,25.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",01 Coal CHP: Technical lifetime
|
||||
central gas CHP,FOM,3.32,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","04 Gas turb. simple cycle, L: Fixed O&M"
|
||||
central gas CHP,VOM,4.2,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","04 Gas turb. simple cycle, L: Variable O&M"
|
||||
central gas CHP,c_b,0.7,per unit,DEA (backpressure ratio), from old pypsa cost assumptions
|
||||
central gas CHP,c_v,0.17,per unit,DEA (loss of fuel for additional heat), from old pypsa cost assumptions
|
||||
central gas CHP,efficiency,0.41,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","04 Gas turb. simple cycle, L: Electricity efficiency, annual average"
|
||||
central gas CHP,investment,560.0,EUR/kW,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","04 Gas turb. simple cycle, L: Nominal investment"
|
||||
central gas CHP,lifetime,25.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","04 Gas turb. simple cycle, L: Technical lifetime"
|
||||
central gas CHP,p_nom_ratio,1.0,per unit,, from old pypsa cost assumptions
|
||||
central gas CHP CCS,FOM,3.32,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","04 Gas turb. simple cycle, L: Fixed O&M"
|
||||
central gas CHP CCS,VOM,4.2,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","04 Gas turb. simple cycle, L: Variable O&M"
|
||||
central gas CHP CCS,c_b,0.7,per unit,DEA (backpressure ratio), from old pypsa cost assumptions
|
||||
central gas CHP CCS,c_v,0.17,per unit,DEA (loss of fuel for additional heat), from old pypsa cost assumptions
|
||||
central gas CHP CCS,efficiency,0.37,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","04 Gas turb. simple cycle, L: Electricity efficiency, annual average"
|
||||
central gas CHP CCS,investment,1160.0,EUR/kW,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx , DIW (CCS)","04 Gas turb. simple cycle, L: Nominal investment"
|
||||
central gas CHP CCS,lifetime,25.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","04 Gas turb. simple cycle, L: Technical lifetime"
|
||||
central gas CHP CCS,p_nom_ratio,1.0,per unit,, from old pypsa cost assumptions
|
||||
central gas boiler,FOM,3.8,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",44 Natural Gas DH Only: Fixed O&M
|
||||
central gas boiler,VOM,1.0,EUR/MWh_th,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",44 Natural Gas DH Only: Variable O&M
|
||||
central gas boiler,efficiency,1.04,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","44 Natural Gas DH Only: Total efficiency , net, annual average"
|
||||
central gas boiler,investment,50.0,EUR/kW_th,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",44 Natural Gas DH Only: Nominal investment
|
||||
central gas boiler,lifetime,25.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",44 Natural Gas DH Only: Technical lifetime
|
||||
central ground-sourced heat pump,FOM,0.39,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","40 Absorption heat pump, DH: Fixed O&M"
|
||||
central ground-sourced heat pump,VOM,1.25,EUR/MWh_th,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","40 Absorption heat pump, DH: Variable O&M"
|
||||
central ground-sourced heat pump,efficiency,1.73,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","40 Absorption heat pump, DH: Total efficiency , net, annual average"
|
||||
central ground-sourced heat pump,investment,507.6,EUR/kW_th excluding drive energy,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","40 Absorption heat pump, DH: Nominal investment"
|
||||
central ground-sourced heat pump,lifetime,25.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","40 Absorption heat pump, DH: Technical lifetime"
|
||||
central resistive heater,FOM,1.7,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",41 Electric Boilers: Fixed O&M
|
||||
central resistive heater,VOM,1.0,EUR/MWh_th,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",41 Electric Boilers: Variable O&M
|
||||
central resistive heater,efficiency,0.99,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","41 Electric Boilers: Total efficiency , net, annual average"
|
||||
central resistive heater,investment,60.0,EUR/kW_th,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",41 Electric Boilers: Nominal investment; 10/15 kV; >10 MW
|
||||
central resistive heater,lifetime,20.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",41 Electric Boilers: Technical lifetime
|
||||
central solar thermal,FOM,1.4,%/year,HP, from old pypsa cost assumptions
|
||||
central solar thermal,investment,140000.0,EUR/1000m2,HP, from old pypsa cost assumptions
|
||||
central solar thermal,lifetime,20.0,years,HP, from old pypsa cost assumptions
|
||||
central solid biomass CHP,FOM,4.1,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09b Wood Pellets, Medium: Fixed O&M"
|
||||
central solid biomass CHP,VOM,1.85,EUR/MWh_e,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09b Wood Pellets, Medium: Variable O&M "
|
||||
central solid biomass CHP,c_b,1.01,per unit,DEA for wood pellets CHP (backpressure ratio), from old pypsa cost assumptions
|
||||
central solid biomass CHP,c_v,0.15,per unit,DEA for wood pellets CHP (loss of fuel for additional heat), from old pypsa cost assumptions
|
||||
central solid biomass CHP,efficiency,0.29,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09b Wood Pellets, Medium: Electricity efficiency, net, annual average"
|
||||
central solid biomass CHP,efficiency-heat,0.69,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09b Wood Pellets, Medium: Heat efficiency, net, annual average"
|
||||
central solid biomass CHP,investment,2851.41,EUR/kW_e,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09b Wood Pellets, Medium: Nominal investment "
|
||||
central solid biomass CHP,lifetime,25.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09b Wood Pellets, Medium: Technical lifetime"
|
||||
central solid biomass CHP,p_nom_ratio,1.0,per unit,, from old pypsa cost assumptions
|
||||
central solid biomass CHP CCS,FOM,4.1,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09b Wood Pellets, Medium: Fixed O&M"
|
||||
central solid biomass CHP CCS,VOM,1.85,EUR/MWh_e,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09b Wood Pellets, Medium: Variable O&M "
|
||||
central solid biomass CHP CCS,c_b,1.01,per unit,DEA for wood pellets CHP (backpressure ratio), from old pypsa cost assumptions
|
||||
central solid biomass CHP CCS,c_v,0.15,per unit,DEA for wood pellets CHP (loss of fuel for additional heat), from old pypsa cost assumptions
|
||||
central solid biomass CHP CCS,efficiency,0.26,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09b Wood Pellets, Medium: Electricity efficiency, net, annual average"
|
||||
central solid biomass CHP CCS,efficiency-heat,0.69,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09b Wood Pellets, Medium: Heat efficiency, net, annual average"
|
||||
central solid biomass CHP CCS,investment,3451.41,EUR/kW_e,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx , DIW (CCS)","09b Wood Pellets, Medium: Nominal investment "
|
||||
central solid biomass CHP CCS,lifetime,25.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","09b Wood Pellets, Medium: Technical lifetime"
|
||||
central solid biomass CHP CCS,p_nom_ratio,1.0,per unit,, from old pypsa cost assumptions
|
||||
central water tank storage,FOM,0.55,%/year,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",140 PTES seasonal: Fixed O&M
|
||||
central water tank storage,investment,0.54,EUR/kWhCapacity,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",140 PTES seasonal: Specific investment
|
||||
central water tank storage,lifetime,25.0,years,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",140 PTES seasonal: Technical lifetime
|
||||
coal,CO2 intensity,0.34,tCO2/MWh_th,Entwicklung der spezifischen Kohlendioxid-Emissionen des deutschen Strommix in den Jahren 1990 - 2018,
|
||||
coal,FOM,1.6,%/year,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
coal,VOM,3.5,EUR/MWh_e,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
coal,efficiency,0.33,per unit,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
coal,fuel,8.15,EUR/MWh_th,BP 2019,
|
||||
coal,investment,3845.51,EUR/kW_e,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
coal,lifetime,40.0,years,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
decentral CHP,FOM,3.0,%/year,HP, from old pypsa cost assumptions
|
||||
decentral CHP,discount rate,0.04,per unit,Palzer thesis, from old pypsa cost assumptions
|
||||
decentral CHP,investment,1400.0,EUR/kWel,HP, from old pypsa cost assumptions
|
||||
decentral CHP,lifetime,25.0,years,HP, from old pypsa cost assumptions
|
||||
decentral air-sourced heat pump,FOM,3.0,%/year,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx",207.3 Air to water existing: Fixed O&M
|
||||
decentral air-sourced heat pump,discount rate,0.04,per unit,Palzer thesis, from old pypsa cost assumptions
|
||||
decentral air-sourced heat pump,efficiency,3.6,per unit,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx","207.3 Air to water existing: Heat efficiency, annual average, net, radiators, existing one family house"
|
||||
decentral air-sourced heat pump,investment,850.0,EUR/kW_th,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx",207.3 Air to water existing: Specific investment
|
||||
decentral air-sourced heat pump,lifetime,18.0,years,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx",207.3 Air to water existing: Technical lifetime
|
||||
decentral gas boiler,FOM,6.69,%/year,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx",202 Natural gas boiler: Fixed O&M
|
||||
decentral gas boiler,discount rate,0.04,per unit,Palzer thesis, from old pypsa cost assumptions
|
||||
decentral gas boiler,efficiency,0.98,per unit,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx","202 Natural gas boiler: Total efficiency, annual average, net"
|
||||
decentral gas boiler,investment,296.82,EUR/kW_th,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx",202 Natural gas boiler: Specific investment
|
||||
decentral gas boiler,lifetime,20.0,years,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx",202 Natural gas boiler: Technical lifetime
|
||||
decentral gas boiler connection,investment,185.51,EUR/kW_th,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx",: Possible additional specific investment
|
||||
decentral gas boiler connection,lifetime,50.0,years,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx",: Technical lifetime
|
||||
decentral ground-sourced heat pump,FOM,1.82,%/year,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx",207.7 Ground source existing: Fixed O&M
|
||||
decentral ground-sourced heat pump,discount rate,0.04,per unit,Palzer thesis, from old pypsa cost assumptions
|
||||
decentral ground-sourced heat pump,efficiency,3.9,per unit,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx","207.7 Ground source existing: Heat efficiency, annual average, net, radiators, existing one family house"
|
||||
decentral ground-sourced heat pump,investment,1400.0,EUR/kW_th,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx",207.7 Ground source existing: Specific investment
|
||||
decentral ground-sourced heat pump,lifetime,20.0,years,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx",207.7 Ground source existing: Technical lifetime
|
||||
decentral oil boiler,FOM,2.0,%/year,Palzer thesis (https://energiesysteme-zukunft.de/fileadmin/user_upload/Publikationen/PDFs/ESYS_Materialien_Optimierungsmodell_REMod-D.pdf), from old pypsa cost assumptions
|
||||
decentral oil boiler,efficiency,0.9,per unit,Palzer thesis (https://energiesysteme-zukunft.de/fileadmin/user_upload/Publikationen/PDFs/ESYS_Materialien_Optimierungsmodell_REMod-D.pdf), from old pypsa cost assumptions
|
||||
decentral oil boiler,investment,156.01,EUR/kWth,Palzer thesis (https://energiesysteme-zukunft.de/fileadmin/user_upload/Publikationen/PDFs/ESYS_Materialien_Optimierungsmodell_REMod-D.pdf) (+eigene Berechnung), from old pypsa cost assumptions
|
||||
decentral oil boiler,lifetime,20.0,years,Palzer thesis (https://energiesysteme-zukunft.de/fileadmin/user_upload/Publikationen/PDFs/ESYS_Materialien_Optimierungsmodell_REMod-D.pdf), from old pypsa cost assumptions
|
||||
decentral resistive heater,FOM,2.0,%/year,Schaber thesis, from old pypsa cost assumptions
|
||||
decentral resistive heater,discount rate,0.04,per unit,Palzer thesis, from old pypsa cost assumptions
|
||||
decentral resistive heater,efficiency,0.9,per unit,Schaber thesis, from old pypsa cost assumptions
|
||||
decentral resistive heater,investment,100.0,EUR/kWhth,Schaber thesis, from old pypsa cost assumptions
|
||||
decentral resistive heater,lifetime,20.0,years,Schaber thesis, from old pypsa cost assumptions
|
||||
decentral solar thermal,FOM,1.3,%/year,HP, from old pypsa cost assumptions
|
||||
decentral solar thermal,discount rate,0.04,per unit,Palzer thesis, from old pypsa cost assumptions
|
||||
decentral solar thermal,investment,270000.0,EUR/1000m2,HP, from old pypsa cost assumptions
|
||||
decentral solar thermal,lifetime,20.0,years,HP, from old pypsa cost assumptions
|
||||
decentral water tank storage,FOM,1.0,%/year,HP, from old pypsa cost assumptions
|
||||
decentral water tank storage,discount rate,0.04,per unit,Palzer thesis, from old pypsa cost assumptions
|
||||
decentral water tank storage,investment,18.38,EUR/kWh,IWES Interaktion, from old pypsa cost assumptions
|
||||
decentral water tank storage,lifetime,20.0,years,HP, from old pypsa cost assumptions
|
||||
electricity distribution grid,FOM,2.0,%/year,TODO, from old pypsa cost assumptions
|
||||
electricity distribution grid,investment,500.0,EUR/kW,TODO, from old pypsa cost assumptions
|
||||
electricity distribution grid,lifetime,40.0,years,TODO, from old pypsa cost assumptions
|
||||
electricity grid connection,FOM,2.0,%/year,TODO, from old pypsa cost assumptions
|
||||
electricity grid connection,investment,140.0,EUR/kW,DEA, from old pypsa cost assumptions
|
||||
electricity grid connection,lifetime,40.0,years,TODO, from old pypsa cost assumptions
|
||||
electrolysis,FOM,5.0,%/year,"Danish Energy Agency, data_sheets_for_renewable_fuels_-_0003.xlsx",88 Alkaline Electrolyser: Fixed O&M
|
||||
electrolysis,efficiency,0.66,per unit,"Danish Energy Agency, data_sheets_for_renewable_fuels_-_0003.xlsx","88 Alkaline Electrolyser: A) Hydrogen output, at LHV"
|
||||
electrolysis,investment,550.0,EUR/kW_e,"Danish Energy Agency, data_sheets_for_renewable_fuels_-_0003.xlsx",88 Alkaline Electrolyser: Specific investment
|
||||
electrolysis,lifetime,25.0,years,"Danish Energy Agency, data_sheets_for_renewable_fuels_-_0003.xlsx",88 Alkaline Electrolyser: Technical lifetime
|
||||
fuel cell,FOM,5.0,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",12 LT-PEMFC CHP: Fixed O&M
|
||||
fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",12 LT-PEMFC CHP: Cb coefficient
|
||||
fuel cell,efficiency,0.5,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","12 LT-PEMFC CHP: Electricity efficiency, annual average"
|
||||
fuel cell,investment,1100.0,EUR/kW_e,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",12 LT-PEMFC CHP: Nominal investment
|
||||
fuel cell,lifetime,10.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",12 LT-PEMFC CHP: Technical lifetime
|
||||
gas,CO2 intensity,0.2,tCO2/MWh_th,Entwicklung der spezifischen Kohlendioxid-Emissionen des deutschen Strommix in den Jahren 1990 - 2018,
|
||||
gas,fuel,20.1,EUR/MWh_th,BP 2019,
|
||||
gas storage,FOM,3.59,%,Danish Energy Agency,"150 Underground Storage of Gas, Operation and Maintenace, salt cavern (units converted)"
|
||||
gas storage,investment,0.03,EUR/kWh,Danish Energy Agency,"150 Underground Storage of Gas, Establishment of one cavern (units converted)"
|
||||
gas storage,lifetime,100.0,years,TODO no source,"estimation: most underground storage are already build, they do have a long lifetime"
|
||||
gas storage charger,investment,14.34,EUR/kW,Danish Energy Agency,"150 Underground Storage of Gas, Process equipment (units converted)"
|
||||
gas storage discharger,investment,4.78,EUR/kW,Danish Energy Agency,"150 Underground Storage of Gas, Process equipment (units converted)"
|
||||
geothermal,CO2 intensity,0.03,tCO2/MWhth,https://www.eia.gov/environment/emissions/co2_vol_mass.php, from old pypsa cost assumptions
|
||||
geothermal,FOM,2.36,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
geothermal,efficiency,0.24,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
geothermal,investment,3392.0,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
geothermal,lifetime,40.0,years,IEA2010, from old pypsa cost assumptions
|
||||
helmeth,FOM,3.0,%/year,no source, from old pypsa cost assumptions
|
||||
helmeth,efficiency,0.8,per unit,HELMETH press release, from old pypsa cost assumptions
|
||||
helmeth,investment,2000.0,EUR/kW,no source, from old pypsa cost assumptions
|
||||
helmeth,lifetime,25.0,years,no source, from old pypsa cost assumptions
|
||||
hydro,FOM,1.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
hydro,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
hydro,investment,2208.16,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
hydro,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions
|
||||
hydrogen storage tank,FOM,1.11,%/year,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",151a Hydrogen Storage - Tanks: Fixed O&M
|
||||
hydrogen storage tank,investment,44.91,EUR/kWh,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",151a Hydrogen Storage - Tanks: Specific investment
|
||||
hydrogen storage tank,lifetime,30.0,years,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",151a Hydrogen Storage - Tanks: Technical lifetime
|
||||
hydrogen storage underground,FOM,0.0,%/year,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",151c Hydrogen Storage - Caverns: Fixed O&M
|
||||
hydrogen storage underground,VOM,0.0,EUR/MWh,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",151c Hydrogen Storage - Caverns: Variable O&M
|
||||
hydrogen storage underground,investment,2.0,EUR/kWh,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",151c Hydrogen Storage - Caverns: Specific investment
|
||||
hydrogen storage underground,lifetime,100.0,years,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",151c Hydrogen Storage - Caverns: Technical lifetime
|
||||
industry CCS,FOM,2.0,%/year,Saygin et al 2013 https://doi.org/10.1016/j.ijggc.2013.05.032, from old pypsa cost assumptions
|
||||
industry CCS,efficiency,0.9,per unit,Saygin et al 2013 https://doi.org/10.1016/j.ijggc.2013.05.032, from old pypsa cost assumptions
|
||||
industry CCS,investment,300.0,EUR/tCO2/a,Saygin et al 2013 https://doi.org/10.1016/j.ijggc.2013.05.032, from old pypsa cost assumptions
|
||||
industry CCS,lifetime,25.0,years,Saygin et al 2013 https://doi.org/10.1016/j.ijggc.2013.05.032, from old pypsa cost assumptions
|
||||
lignite,CO2 intensity,0.41,tCO2/MWh_th,Entwicklung der spezifischen Kohlendioxid-Emissionen des deutschen Strommix in den Jahren 1990 - 2018,
|
||||
lignite,FOM,1.6,%/year,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
lignite,VOM,3.5,EUR/MWh_e,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
lignite,efficiency,0.33,per unit,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
lignite,fuel,2.9,EUR/MWh_th,DIW,
|
||||
lignite,investment,3845.51,EUR/kW_e,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
lignite,lifetime,40.0,years,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
methanation,FOM,3.0,%/year,Schaber thesis, from old pypsa cost assumptions
|
||||
methanation,efficiency,0.8,per unit,Palzer and Schaber thesis, from old pypsa cost assumptions
|
||||
methanation,investment,1000.0,EUR/kWH2,Schaber thesis, from old pypsa cost assumptions
|
||||
methanation,lifetime,25.0,years,Schaber thesis, from old pypsa cost assumptions
|
||||
micro CHP,FOM,6.11,%/year,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Fixed O&M
|
||||
micro CHP,efficiency,0.35,per unit,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Electric efficiency, annual average, net"
|
||||
micro CHP,efficiency-heat,0.61,per unit,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx","219 LT-PEMFC mCHP - natural gas: Heat efficiency, annual average, net"
|
||||
micro CHP,investment,7410.27,EUR/kW_th,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Specific investment
|
||||
micro CHP,lifetime,20.0,years,"Danish Energy Agency, technologydatafor_heating_installations_marts_2018.xlsx",219 LT-PEMFC mCHP - natural gas: Technical lifetime
|
||||
nuclear,FOM,1.4,%/year,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
nuclear,VOM,3.5,EUR/MWh_e,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
nuclear,efficiency,0.33,per unit,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
nuclear,fuel,2.6,EUR/MWh_th,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
nuclear,investment,7940.45,EUR/kW_e,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
nuclear,lifetime,40.0,years,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
offwind,FOM,2.29,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",21 Offshore turbines: Fixed O&M
|
||||
offwind,VOM,2.67,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",21 Offshore turbines: Variable O&M
|
||||
offwind,investment,1573.21,EUR/kW,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",21 Offshore turbines: Nominal investment grid connection costs substracted from investment costs
|
||||
offwind,lifetime,30.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",21 Offshore turbines: Technical lifetime
|
||||
offwind-ac-connection-submarine,investment,2685.0,EUR/MW/km,DEA https://ens.dk/en/our-services/projections-and-models/technology-data, from old pypsa cost assumptions
|
||||
offwind-ac-connection-underground,investment,1342.0,EUR/MW/km,DEA https://ens.dk/en/our-services/projections-and-models/technology-data, from old pypsa cost assumptions
|
||||
offwind-ac-station,investment,250.0,EUR/kWel,DEA https://ens.dk/en/our-services/projections-and-models/technology-data, from old pypsa cost assumptions
|
||||
offwind-dc-connection-submarine,investment,2000.0,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf, from old pypsa cost assumptions
|
||||
offwind-dc-connection-underground,investment,1000.0,EUR/MW/km,Haertel 2017; average + 13% learning reduction, from old pypsa cost assumptions
|
||||
offwind-dc-station,investment,400.0,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction, from old pypsa cost assumptions
|
||||
oil,CO2 intensity,0.27,tCO2/MWh_th,Entwicklung der spezifischen Kohlendioxid-Emissionen des deutschen Strommix in den Jahren 1990 - 2018,
|
||||
oil,FOM,2.46,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",50 Diesel engine farm: Fixed O&M
|
||||
oil,VOM,6.0,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",50 Diesel engine farm: Variable O&M
|
||||
oil,efficiency,0.35,per unit,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","50 Diesel engine farm: Electricity efficiency, annual average"
|
||||
oil,fuel,50.0,EUR/MWhth,IEA WEM2017 97USD/boe = http://www.iea.org/media/weowebsite/2017/WEM_Documentation_WEO2017.pdf, from old pypsa cost assumptions
|
||||
oil,investment,343.0,EUR/kW,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",50 Diesel engine farm: Specific investment
|
||||
oil,lifetime,25.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",50 Diesel engine farm: Technical lifetime
|
||||
onwind,FOM,1.22,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",20 Onshore turbines: Fixed O&M
|
||||
onwind,VOM,1.35,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",20 Onshore turbines: Variable O&M
|
||||
onwind,investment,1035.56,EUR/kW,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",20 Onshore turbines: Nominal investment
|
||||
onwind,lifetime,30.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",20 Onshore turbines: Technical lifetime
|
||||
ror,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
ror,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
ror,investment,3312.24,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348, from old pypsa cost assumptions
|
||||
ror,lifetime,80.0,years,IEA2010, from old pypsa cost assumptions
|
||||
solar,FOM,1.46,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",22 Photovoltaics Medium: Fixed O&M
|
||||
solar,VOM,0.01,EUR/MWhel,RES costs made up to fix curtailment order, from old pypsa cost assumptions
|
||||
solar,investment,631.69,EUR/kW,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx","22 Photovoltaics Medium: Specific investment, total system"
|
||||
solar,lifetime,35.0,years,"Assuming 50% rooftop, 50% utility",22 Photovoltaics Medium: Technical lifetime of total system
|
||||
solar-rooftop,FOM,1.24,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",22 Photovoltaics Small: Fixed O&M
|
||||
solar-rooftop,discount rate,0.04,per unit,standard for decentral, from old pypsa cost assumptions
|
||||
solar-rooftop,investment,784.31,EUR/kW,European PV Technology and Innovation Platform,"22 Photovoltaics Small: Specific investment, total system"
|
||||
solar-rooftop,lifetime,30.0,years,European PV Technology and Innovation Platform,22 Photovoltaics Small: Technical lifetime of total system
|
||||
solar-utility,FOM,1.93,%/year,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",22 Photovoltaics Large: Fixed O&M
|
||||
solar-utility,investment,376.29,EUR/kW,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",22 Photovoltaics Large: Nominal investment
|
||||
solar-utility,lifetime,40.0,years,"Danish Energy Agency, technology_data_for_el_and_dh_-_0009.xlsx",22 Photovoltaics Large: Technical lifetime
|
||||
solid biomass,CO2 intensity,0.3,tCO2/MWh_th,TODO,
|
||||
solid biomass,fuel,25.2,EUR/MWh_th,Is a 100% renewable European power system feasible by 2050?,
|
||||
uranium,fuel,2.6,EUR/MWh_th,Lazard s Levelized Cost of Energy Analysis - Version 13.0,
|
||||
water tank charger,efficiency,0.84,per unit,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",: efficiency from sqr(Round trip efficiency)
|
||||
water tank discharger,efficiency,0.84,per unit,"Danish Energy Agency, technology_data_catalogue_for_energy_storage.xlsx",: efficiency from sqr(Round trip efficiency)
|
||||
|
||||
|
@ -90,7 +90,6 @@ It further adds extendable ``generators`` with **zero** capacity for
|
||||
- additional open- and combined-cycle gas turbines (if ``OCGT`` and/or ``CCGT`` is listed in the config setting ``electricity: extendable_carriers``)
|
||||
"""
|
||||
|
||||
from vresutils.costdata import annuity
|
||||
from vresutils.load import timeseries_opsd
|
||||
from vresutils import transfer as vtransfer
|
||||
|
||||
@ -121,6 +120,19 @@ def _add_missing_carriers_from_costs(n, costs, carriers):
|
||||
emissions.index = missing_carriers
|
||||
n.import_components_from_dataframe(emissions, 'Carrier')
|
||||
|
||||
|
||||
def annuity(n, r):
|
||||
"""Calculate the annuity factor for an asset with lifetime n years and
|
||||
discount rate of r, e.g. annuity(20,0.05)*20 = 1.6"""
|
||||
|
||||
if isinstance(r, pd.Series):
|
||||
return pd.Series(1/n, index=r.index).where(r == 0, r/(1. - 1./(1.+r)**n))
|
||||
elif r > 0:
|
||||
return r/(1. - 1./(1.+r)**n)
|
||||
else:
|
||||
return 1/n
|
||||
|
||||
|
||||
def load_costs(Nyears=1., tech_costs=None, config=None, elec_config=None):
|
||||
if tech_costs is None:
|
||||
tech_costs = snakemake.input.tech_costs
|
||||
@ -129,23 +141,22 @@ def load_costs(Nyears=1., tech_costs=None, config=None, elec_config=None):
|
||||
config = snakemake.config['costs']
|
||||
|
||||
# set all asset costs and other parameters
|
||||
costs = pd.read_csv(tech_costs, index_col=list(range(3))).sort_index()
|
||||
costs = pd.read_csv(tech_costs, index_col=[0,1]).sort_index()
|
||||
|
||||
# correct units to MW and EUR
|
||||
costs.loc[costs.unit.str.contains("/kW"),"value"] *= 1e3
|
||||
costs.loc[costs.unit.str.contains("USD"),"value"] *= config['USD2013_to_EUR2013']
|
||||
# correct units to MW
|
||||
to_mw_i = costs.query('unit == "EUR/kW"').index
|
||||
costs.value.update(costs.value[to_mw_i] * 1e3)
|
||||
costs.unit.update(pd.Series("EUR/MW", to_mw_i))
|
||||
|
||||
costs = (costs.loc[idx[:,config['year'],:], "value"]
|
||||
.unstack(level=2).groupby("technology").sum(min_count=1))
|
||||
|
||||
costs = costs.fillna({"CO2 intensity" : 0,
|
||||
"FOM" : 0,
|
||||
"VOM" : 0,
|
||||
"discount rate" : config['discountrate'],
|
||||
"efficiency" : 1,
|
||||
"fuel" : 0,
|
||||
"investment" : 0,
|
||||
"lifetime" : 25})
|
||||
fill_values = {"CO2 intensity" : 0,
|
||||
"FOM" : 0,
|
||||
"VOM" : 0,
|
||||
"discount rate" : config['discountrate'],
|
||||
"efficiency" : 1,
|
||||
"fuel" : 0,
|
||||
"investment" : 0,
|
||||
"lifetime" : 25}
|
||||
costs = costs.value.unstack().fillna(fill_values)
|
||||
|
||||
costs["capital_cost"] = ((annuity(costs["lifetime"], costs["discount rate"]) +
|
||||
costs["FOM"]/100.) *
|
||||
@ -182,7 +193,7 @@ def load_costs(Nyears=1., tech_costs=None, config=None, elec_config=None):
|
||||
costs_for_storage(costs.loc["battery storage"], costs.loc["battery inverter"],
|
||||
max_hours=max_hours['battery'])
|
||||
costs.loc["H2"] = \
|
||||
costs_for_storage(costs.loc["hydrogen storage"], costs.loc["fuel cell"],
|
||||
costs_for_storage(costs.loc["hydrogen storage tank"], costs.loc["fuel cell"],
|
||||
costs.loc["electrolysis"], max_hours=max_hours['H2'])
|
||||
|
||||
for attr in ('marginal_cost', 'capital_cost'):
|
||||
|
||||
Loading…
Reference in New Issue
Block a user