diff --git a/inputs/manual_input.csv b/inputs/manual_input.csv
index c9f6cac..455228a 100644
--- a/inputs/manual_input.csv
+++ b/inputs/manual_input.csv
@@ -45,7 +45,7 @@ HVAC overhead,FOM,2030,2,%/year,2011,"Hagspiel et al. (2014): doi:10.1016/j.ener
 HVDC overhead,investment,2030,400,EUR/MW/km,2011,"Hagspiel et al. (2014): doi:10.1016/j.energy.2014.01.025 , table A.2 .",
 HVDC overhead,lifetime,2030,40,years,2011,"Hagspiel et al. (2014): doi:10.1016/j.energy.2014.01.025 , table A.2 .",
 HVDC overhead,FOM,2030,2,%/year,2011,"Hagspiel et al. (2014): doi:10.1016/j.energy.2014.01.025 , table A.2 .",
-HVDC submarine,investment,2030,970,EUR/MW/km,2017,Härtel et al. (2017): https://doi.org/10.1016/j.epsr.2017.06.008 .,"Table 1"
+HVDC submarine,investment,2030,970,EUR/MW/km,2017,Härtel et al. (2017): https://doi.org/10.1016/j.epsr.2017.06.008 .,Table 1
 HVDC submarine,FOM,2030,0.35,%/year,2018,Purvins et al. (2018): https://doi.org/10.1016/j.jclepro.2018.03.095 .,"Based on estimated costs for a NA-EU connector (bidirectional,4 GW, 3000km length and ca. 3000m depth). Costs in return based on existing/currently under construction undersea cables."
 HVDC submarine,lifetime,2030,40,years,2018,Purvins et al. (2018): https://doi.org/10.1016/j.jclepro.2018.03.095 .,"Based on estimated costs for a NA-EU connector (bidirectional,4 GW, 3000km length and ca. 3000m depth). Costs in return based on existing/currently under construction undersea cables."
 HVDC inverter pair,investment,2030,150000,EUR/MW,2011,"Hagspiel et al. (2014): doi:10.1016/j.energy.2014.01.025 , table A.2 .",
@@ -180,20 +180,20 @@ Ammonia cracker,investment,2050,527592.22,EUR/MW_H2,2015,"Ishimoto et al. (2020)
 Ammonia cracker,lifetime,2050,25,years,2015,"Ishimoto et al. (2020): 10.1016/j.ijhydene.2020.09.017 , table 7.",
 Ammonia cracker,FOM,2050,4.3,%/year,2015,"Ishimoto et al. (2020): 10.1016/j.ijhydene.2020.09.017 , table 7.","Estimated based on Labour cost rate, Maintenance cost rate, Insurance rate, Admin. cost rate and Chemical & other consumables cost rate."
 Ammonia cracker,ammonia-input,0,1.46,MWh_NH3/MWh_H2,,"ENGIE et al (2020): Ammonia to Green Hydrogen Feasibility Study (https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/880826/HS420_-_Ecuity_-_Ammonia_to_Green_Hydrogen.pdf), Fig. 10.",Assuming a integrated 200t/d cracking and purification facility. Electricity demand (316 MWh per 2186 MWh_LHV H2 output) is assumed to also be ammonia LHV input which seems a fair assumption as the facility has options for a higher degree of integration according to the report).
-methanol-to-olefins/aromatics,investment,2015,2628000,EUR/(t_HVC/h),2015,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), Table 35","Assuming CAPEX of 1200 €/t actually given in €/(t/a)."
-methanol-to-olefins/aromatics,lifetime,2015,30,years,-,"Guesstimate","same as steam cracker"
-methanol-to-olefins/aromatics,FOM,2015,3,%/year,-,"Guesstimate","same as steam cracker"
-methanol-to-olefins/aromatics,VOM,2015,30,€/t_HVC,2015,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), Table 35","" 
-methanol-to-olefins/aromatics,electricity-input,2015,1.3889,MWh_el/t_HVC,-,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), page 69","5 GJ/t_HVC" 
-methanol-to-olefins/aromatics,methanol-input,2015,18.03,MWh_MeOH/t_HVC,-,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), Sections 4.5 (for ethylene and propylene) and 4.6 (for BTX)","Weighted average: 2.83 t_MeOH/t_ethylene+propylene for 21.7 Mt of ethylene and 17 Mt of propylene, 4.2 t_MeOH/t_BTX for 15.7 Mt of BTX. Assuming 5.54 MWh_MeOH/t_MeOH." 
-methanol-to-olefins/aromatics,carbondioxide-output,2015,0.6107,t_CO2/t_HVC,-,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), Sections 4.5 (for ethylene and propylene) and 4.6 (for BTX)","Weighted average: 0.4 t_MeOH/t_ethylene+propylene for 21.7 Mt of ethylene and 17 Mt of propylene, 1.13 t_CO2/t_BTX for 15.7 Mt of BTX. The report also references process emissions of 0.55 t_MeOH/t_ethylene+propylene elsewhere." 
-electric steam cracker,investment,2015,10512000,EUR/(t_HVC/h),2015,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), Table 35","Assuming CAPEX of 1200 €/t actually given in €/(t/a)."
-electric steam cracker,lifetime,2015,30,years,-,"Guesstimate",""
-electric steam cracker,FOM,2015,3,%/year,-,"Guesstimate",""
-electric steam cracker,VOM,2015,180,€/t_HVC,2015,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), Table 35",""
-electric steam cracker,naphtha-input,2015,14.8,MWh_naphtha/t_HVC,-,"Lechtenböhmer et al. (2016): 10.1016/j.energy.2016.07.110, Section 4.3, page 6.",""
-electric steam cracker,electricity-input,2015,2.7,MWh_el/t_HVC,-,"Lechtenböhmer et al. (2016): 10.1016/j.energy.2016.07.110, Section 4.3, page 6.","Assuming electrified processing."
-electric steam cracker,carbondioxide-output,2015,0.55,t_CO2/t_HVC,-,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), ","The report also references another source with 0.76 t_CO2/t_HVC"
+methanol-to-olefins/aromatics,investment,2015,2628000,EUR/(t_HVC/h),2015,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), Table 35",Assuming CAPEX of 1200 €/t actually given in €/(t/a).
+methanol-to-olefins/aromatics,lifetime,2015,30,years,-,Guesstimate,same as steam cracker
+methanol-to-olefins/aromatics,FOM,2015,3,%/year,-,Guesstimate,same as steam cracker
+methanol-to-olefins/aromatics,VOM,2015,30,€/t_HVC,2015,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), Table 35", 
+methanol-to-olefins/aromatics,electricity-input,2015,1.3889,MWh_el/t_HVC,-,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), page 69",5 GJ/t_HVC 
+methanol-to-olefins/aromatics,methanol-input,2015,18.03,MWh_MeOH/t_HVC,-,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), Sections 4.5 (for ethylene and propylene) and 4.6 (for BTX)","Weighted average: 2.83 t_MeOH/t_ethylene+propylene for 21.7 Mt of ethylene and 17 Mt of propylene, 4.2 t_MeOH/t_BTX for 15.7 Mt of BTX. Assuming 5.54 MWh_MeOH/t_MeOH. "
+methanol-to-olefins/aromatics,carbondioxide-output,2015,0.6107,t_CO2/t_HVC,-,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), Sections 4.5 (for ethylene and propylene) and 4.6 (for BTX)","Weighted average: 0.4 t_MeOH/t_ethylene+propylene for 21.7 Mt of ethylene and 17 Mt of propylene, 1.13 t_CO2/t_BTX for 15.7 Mt of BTX. The report also references process emissions of 0.55 t_MeOH/t_ethylene+propylene elsewhere. "
+electric steam cracker,investment,2015,10512000,EUR/(t_HVC/h),2015,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), Table 35",Assuming CAPEX of 1200 €/t actually given in €/(t/a).
+electric steam cracker,lifetime,2015,30,years,-,Guesstimate,
+electric steam cracker,FOM,2015,3,%/year,-,Guesstimate,
+electric steam cracker,VOM,2015,180,€/t_HVC,2015,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), Table 35",
+electric steam cracker,naphtha-input,2015,14.8,MWh_naphtha/t_HVC,-,"Lechtenböhmer et al. (2016): 10.1016/j.energy.2016.07.110, Section 4.3, page 6.",
+electric steam cracker,electricity-input,2015,2.7,MWh_el/t_HVC,-,"Lechtenböhmer et al. (2016): 10.1016/j.energy.2016.07.110, Section 4.3, page 6.",Assuming electrified processing.
+electric steam cracker,carbondioxide-output,2015,0.55,t_CO2/t_HVC,-,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf), ",The report also references another source with 0.76 t_CO2/t_HVC
 Steam methane reforming,investment,2015,470085.47008547,EUR/MW_H2,2015,"International Energy Agency (2015): Technology Roadmap Hydrogen and Fuel Cells , table 15.",Large scale SMR facility (150-300 MW). Currency conversion 1.17 USD = 1 EUR.
 Steam methane reforming,lifetime,2015,30,years,2015,"International Energy Agency (2015): Technology Roadmap Hydrogen and Fuel Cells , table 15.",Large scale SMR facility (150-300 MW).
 Steam methane reforming,FOM,2015,3,%/year,2015,"International Energy Agency (2015): Technology Roadmap Hydrogen and Fuel Cells , table 15.",Large scale SMR facility (150-300 MW).
@@ -238,7 +238,7 @@ methanolisation,FOM,2050,3,%/year,2017,"Agora Energiewende (2018): The Future Co
 methanolisation,electricity-input,0,0.271,MWh_e/MWh_MeOH,,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf) , pg. 65.",
 methanolisation,hydrogen-input,0,1.138,MWh_H2/MWh_MeOH,,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf) , pg. 64.",189 kg_H2 per t_MeOH
 methanolisation,carbondioxide-input,0,0.248,t_CO2/MWh_MeOH,,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf) , pg. 66.",
-methanolisation,heat-output,0,0.100,MWh_th/MWh_MeOH,,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf) , pg. 65.","steam generation of 2 GJ/t_MeOH"
+methanolisation,heat-output,0,0.1,MWh_th/MWh_MeOH,,"DECHEMA 2017: DECHEMA: Low carbon energy and feedstock for the European chemical industry (https://dechema.de/dechema_media/Downloads/Positionspapiere/Technology_study_Low_carbon_energy_and_feedstock_for_the_European_chemical_industry.pdf) , pg. 65.",steam generation of 2 GJ/t_MeOH
 csp-tower,investment,2020,159.96,"EUR/kW_th,dp",2020,ATB CSP data (https://atb.nrel.gov/electricity/2021/concentrating_solar_power) and NREL SAM v2021.12.2 (https://sam.nrel.gov/).,"Based on NREL’s SAM (v2021.12.2) numbers for a CSP power plant, 2020 numbers. CAPEX degression (=learning) taken from ATB database (“moderate”) scenario. Costs include solar field and solar tower as well as EPC cost for the default installation size (104 MWe plant). Total costs (223,708,924 USD) are divided by active area (heliostat reflective area, 1,269,054 m2) and multiplied by design point DNI (0.95 kW/m2) to obtain EUR/kW_th. Exchange rate: 1.16 USD to 1 EUR."
 csp-tower,investment,2030,108.37,"EUR/kW_th,dp",2020,ATB CSP data (https://atb.nrel.gov/electricity/2021/concentrating_solar_power) and NREL SAM v2021.12.2 (https://sam.nrel.gov/).,"Based on NREL’s SAM (v2021.12.2) numbers for a CSP power plant, 2020 numbers. CAPEX degression (=learning) taken from ATB database (“moderate”) scenario. Costs include solar field and solar tower as well as EPC cost for the default installation size (104 MWe plant). Total costs (223,708,924 USD) are divided by active area (heliostat reflective area, 1,269,054 m2) and multiplied by design point DNI (0.95 kW/m2) to obtain EUR/kW_th. Exchange rate: 1.16 USD to 1 EUR."
 csp-tower,investment,2040,99.97,"EUR/kW_th,dp",2020,ATB CSP data (https://atb.nrel.gov/electricity/2021/concentrating_solar_power) and NREL SAM v2021.12.2 (https://sam.nrel.gov/).,"Based on NREL’s SAM (v2021.12.2) numbers for a CSP power plant, 2020 numbers. CAPEX degression (=learning) taken from ATB database (“moderate”) scenario. Costs include solar field and solar tower as well as EPC cost for the default installation size (104 MWe plant). Total costs (223,708,924 USD) are divided by active area (heliostat reflective area, 1,269,054 m2) and multiplied by design point DNI (0.95 kW/m2) to obtain EUR/kW_th. Exchange rate: 1.16 USD to 1 EUR."
@@ -315,9 +315,9 @@ offwind-float,investment,2040,1960,EUR/kWel,2020,https://doi.org/10.1016/j.adape
 offwind-float,FOM,2040,1.22,%/year,2020,https://doi.org/10.1016/j.adapen.2021.100067,
 offwind-float,investment,2050,1580,EUR/kWel,2020,https://doi.org/10.1016/j.adapen.2021.100067,
 offwind-float,FOM,2050,1.39,%/year,2020,https://doi.org/10.1016/j.adapen.2021.100067,
-offwind-float-station,investment,2030,400,EUR/kWel,2017,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction,
+offwind-float-station,investment,2030,400,EUR/kWel,2017,Haertel 2017, assuming one onshore and one offshore node + 13% learning reduction
 offwind-float-connection-submarine,investment,2030,2000,EUR/MW/km,2014,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf,
-offwind-float-connection-underground,investment,2030,1000,EUR/MW/km,2017,Haertel 2017; average + 13% learning reduction,
+offwind-float-connection-underground,investment,2030,1000,EUR/MW/km,2017,Haertel 2017, average + 13% learning reduction
 nuclear,investment,2020,10275,EUR/kW_e,2023,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (8475+13925)/2 USD/kW_e / (1.09 USD/EUR) ."
 nuclear,FOM,2020,1.27,%/year,2023,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (131.5+152.75)/2 USD/kW_e / (1.09 USD/EUR) relative to investment costs."
 nuclear,VOM,2020,4.24,EUR/MWh_e,2023,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","U.S. specific costs including newly commissioned Vogtle plant, average of range and currency converted, i.e. (4.25+5)/2 USD/kW_e / (1.09 USD/EUR) ."
@@ -338,8 +338,8 @@ lignite,lifetime,2020,40,years,2023,"Lazard's levelized cost of energy analysis
 lignite,efficiency,2020,0.33,p.u.,2023,"Lazard's levelized cost of energy analysis - version 16.0 (2023): https://www.lazard.com/media/typdgxmm/lazards-lcoeplus-april-2023.pdf , pg. 49 (Levelized Cost of Energy - Key Assumptions), accessed: 2023-12-14.","Calculated based on average of listed range, i.e. 1 / ((8.75+12) MMbtu/MWh_th /2 / (3.4095 MMbtu/MWh_th)), rounded up. Note: Assume same costs as for hard coal, as cost structure is apparently comparable, see https://diglib.tugraz.at/download.php?id=6093e88b63f93&location=browse and https://iea.blob.core.windows.net/assets/ae17da3d-e8a5-4163-a3ec-2e6fb0b5677d/Projected-Costs-of-Generating-Electricity-2020.pdf . "
 lignite,fuel,2020,2.9,EUR/MWh_th,2010,"DIW (2013): Current and propsective costs of electricity generation until 2050, http://hdl.handle.net/10419/80348 , pg. 80 text below figure 10, accessed: 2023-12-14.","Based on IEA 2011 data, 10 USD/t."
 gas,fuel,2020,21.6,EUR/MWh_th,2010,"DIW (2013): Current and propsective costs of electricity generation until 2050, http://hdl.handle.net/10419/80348 , pg. 80 text below figure 10, accessed: 2023-12-14.",Based on IEA 2011 data.
-electrolysis,investment,2020,2000,EUR/kW_e,2020,"private communications; IEA https://iea.blob.core.windows.net/assets/9e0c82d4-06d2-496b-9542-f184ba803645/TheRoleofE-fuelsinDecarbonisingTransport.pdf",
-electrolysis,investment,2025,2000,EUR/kW_e,2020,"private communications; IEA https://iea.blob.core.windows.net/assets/9e0c82d4-06d2-496b-9542-f184ba803645/TheRoleofE-fuelsinDecarbonisingTransport.pdf",
-electrolysis,investment,2030,1500,EUR/kW_e,2020,"private communications; IEA https://iea.blob.core.windows.net/assets/9e0c82d4-06d2-496b-9542-f184ba803645/TheRoleofE-fuelsinDecarbonisingTransport.pdf",
-electrolysis,investment,2040,1200,EUR/kW_e,2020,"private communications; IEA https://iea.blob.core.windows.net/assets/9e0c82d4-06d2-496b-9542-f184ba803645/TheRoleofE-fuelsinDecarbonisingTransport.pdf",
-electrolysis,investment,2050,1000,EUR/kW_e,2020,"private communications; IEA https://iea.blob.core.windows.net/assets/9e0c82d4-06d2-496b-9542-f184ba803645/TheRoleofE-fuelsinDecarbonisingTransport.pdf",
\ No newline at end of file
+electrolysis,investment,2020,2000,EUR/kW_e,2020,private communications; IEA https://iea.blob.core.windows.net/assets/9e0c82d4-06d2-496b-9542-f184ba803645/TheRoleofE-fuelsinDecarbonisingTransport.pdf,
+electrolysis,investment,2025,1800,EUR/kW_e,2020,private communications; IEA https://iea.blob.core.windows.net/assets/9e0c82d4-06d2-496b-9542-f184ba803645/TheRoleofE-fuelsinDecarbonisingTransport.pdf,
+electrolysis,investment,2030,1500,EUR/kW_e,2020,private communications; IEA https://iea.blob.core.windows.net/assets/9e0c82d4-06d2-496b-9542-f184ba803645/TheRoleofE-fuelsinDecarbonisingTransport.pdf,
+electrolysis,investment,2040,1200,EUR/kW_e,2020,private communications; IEA https://iea.blob.core.windows.net/assets/9e0c82d4-06d2-496b-9542-f184ba803645/TheRoleofE-fuelsinDecarbonisingTransport.pdf,
+electrolysis,investment,2050,1000,EUR/kW_e,2020,private communications; IEA https://iea.blob.core.windows.net/assets/9e0c82d4-06d2-496b-9542-f184ba803645/TheRoleofE-fuelsinDecarbonisingTransport.pdf,
diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv
index c4748aa..63b9a02 100644
--- a/outputs/costs_2020.csv
+++ b/outputs/costs_2020.csv
@@ -839,8 +839,8 @@ offwind-float,FOM,1.15,%/year,https://doi.org/10.1016/j.adapen.2021.100067,,2020
 offwind-float,investment,2350.0,EUR/kWel,https://doi.org/10.1016/j.adapen.2021.100067,,2020.0
 offwind-float,lifetime,20.0,years,C. Maienza 2020 A life cycle cost model for floating offshore wind farms,,2020.0
 offwind-float-connection-submarine,investment,2118.5597,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf,,2014.0
-offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017; average + 13% learning reduction,,2017.0
-offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction,,2017.0
+offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017, average + 13% learning reduction,2017.0
+offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017, assuming one onshore and one offshore node + 13% learning reduction,2017.0
 oil,CO2 intensity,0.2571,tCO2/MWh_th,Stoichiometric calculation with 44 GJ/t diesel and -CH2- approximation of diesel,,
 oil,FOM,2.5656,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm:  Fixed O&M,2015.0
 oil,VOM,6.3493,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm:  Variable O&M,2015.0
diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv
index b9a014f..dc96d0e 100644
--- a/outputs/costs_2025.csv
+++ b/outputs/costs_2025.csv
@@ -715,7 +715,7 @@ electrobiofuels,investment,512440.2631,EUR/kW_th,combination of BtL and electrof
 electrolysis,FOM,4.0,%/year,"Danish Energy Agency, data_sheets_for_renewable_fuels.xlsx",86 AEC 100 MW:  Fixed O&M ,2020.0
 electrolysis,efficiency,0.5874,per unit,"Danish Energy Agency, data_sheets_for_renewable_fuels.xlsx",86 AEC 100 MW:  Hydrogen Output,2020.0
 electrolysis,efficiency-heat,0.264,per unit,"Danish Energy Agency, data_sheets_for_renewable_fuels.xlsx",86 AEC 100 MW:   - hereof recoverable for district heating,2020.0
-electrolysis,investment,2000.0,EUR/kW_e,private communications; IEA https://iea.blob.core.windows.net/assets/9e0c82d4-06d2-496b-9542-f184ba803645/TheRoleofE-fuelsinDecarbonisingTransport.pdf,,2020.0
+electrolysis,investment,1800.0,EUR/kW_e,private communications; IEA https://iea.blob.core.windows.net/assets/9e0c82d4-06d2-496b-9542-f184ba803645/TheRoleofE-fuelsinDecarbonisingTransport.pdf,,2020.0
 electrolysis,lifetime,25.0,years,"Danish Energy Agency, data_sheets_for_renewable_fuels.xlsx",86 AEC 100 MW:  Technical lifetime,2020.0
 fuel cell,FOM,5.0,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP:  Fixed O&M,2015.0
 fuel cell,c_b,1.25,50oC/100oC,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",12 LT-PEMFC CHP:  Cb coefficient,2015.0
@@ -839,8 +839,8 @@ offwind-float,FOM,1.15,%/year,https://doi.org/10.1016/j.adapen.2021.100067,,2020
 offwind-float,investment,2350.0,EUR/kWel,https://doi.org/10.1016/j.adapen.2021.100067,,2020.0
 offwind-float,lifetime,20.0,years,C. Maienza 2020 A life cycle cost model for floating offshore wind farms,,2020.0
 offwind-float-connection-submarine,investment,2118.5597,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf,,2014.0
-offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017; average + 13% learning reduction,,2017.0
-offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction,,2017.0
+offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017, average + 13% learning reduction,2017.0
+offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017, assuming one onshore and one offshore node + 13% learning reduction,2017.0
 oil,CO2 intensity,0.2571,tCO2/MWh_th,Stoichiometric calculation with 44 GJ/t diesel and -CH2- approximation of diesel,,
 oil,FOM,2.5143,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm:  Fixed O&M,2015.0
 oil,VOM,6.3493,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm:  Variable O&M,2015.0
diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv
index 283d117..79bc6bd 100644
--- a/outputs/costs_2030.csv
+++ b/outputs/costs_2030.csv
@@ -839,8 +839,8 @@ offwind-float,FOM,1.15,%/year,https://doi.org/10.1016/j.adapen.2021.100067,,2020
 offwind-float,investment,2350.0,EUR/kWel,https://doi.org/10.1016/j.adapen.2021.100067,,2020.0
 offwind-float,lifetime,20.0,years,C. Maienza 2020 A life cycle cost model for floating offshore wind farms,,2020.0
 offwind-float-connection-submarine,investment,2118.5597,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf,,2014.0
-offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017; average + 13% learning reduction,,2017.0
-offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction,,2017.0
+offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017, average + 13% learning reduction,2017.0
+offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017, assuming one onshore and one offshore node + 13% learning reduction,2017.0
 oil,CO2 intensity,0.2571,tCO2/MWh_th,Stoichiometric calculation with 44 GJ/t diesel and -CH2- approximation of diesel,,
 oil,FOM,2.463,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm:  Fixed O&M,2015.0
 oil,VOM,6.3493,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm:  Variable O&M,2015.0
diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv
index a1b9b62..2500550 100644
--- a/outputs/costs_2035.csv
+++ b/outputs/costs_2035.csv
@@ -839,8 +839,8 @@ offwind-float,FOM,1.185,%/year,https://doi.org/10.1016/j.adapen.2021.100067,,202
 offwind-float,investment,2155.0,EUR/kWel,https://doi.org/10.1016/j.adapen.2021.100067,,2020.0
 offwind-float,lifetime,20.0,years,C. Maienza 2020 A life cycle cost model for floating offshore wind farms,,2020.0
 offwind-float-connection-submarine,investment,2118.5597,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf,,2014.0
-offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017; average + 13% learning reduction,,2017.0
-offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction,,2017.0
+offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017, average + 13% learning reduction,2017.0
+offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017, assuming one onshore and one offshore node + 13% learning reduction,2017.0
 oil,CO2 intensity,0.2571,tCO2/MWh_th,Stoichiometric calculation with 44 GJ/t diesel and -CH2- approximation of diesel,,
 oil,FOM,2.4498,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm:  Fixed O&M,2015.0
 oil,VOM,6.3493,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm:  Variable O&M,2015.0
diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv
index 3502220..4e1bd82 100644
--- a/outputs/costs_2040.csv
+++ b/outputs/costs_2040.csv
@@ -839,8 +839,8 @@ offwind-float,FOM,1.22,%/year,https://doi.org/10.1016/j.adapen.2021.100067,,2020
 offwind-float,investment,1960.0,EUR/kWel,https://doi.org/10.1016/j.adapen.2021.100067,,2020.0
 offwind-float,lifetime,20.0,years,C. Maienza 2020 A life cycle cost model for floating offshore wind farms,,2020.0
 offwind-float-connection-submarine,investment,2118.5597,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf,,2014.0
-offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017; average + 13% learning reduction,,2017.0
-offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction,,2017.0
+offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017, average + 13% learning reduction,2017.0
+offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017, assuming one onshore and one offshore node + 13% learning reduction,2017.0
 oil,CO2 intensity,0.2571,tCO2/MWh_th,Stoichiometric calculation with 44 GJ/t diesel and -CH2- approximation of diesel,,
 oil,FOM,2.4365,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm:  Fixed O&M,2015.0
 oil,VOM,6.3493,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm:  Variable O&M,2015.0
diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv
index 5abd74f..1f14d50 100644
--- a/outputs/costs_2045.csv
+++ b/outputs/costs_2045.csv
@@ -839,8 +839,8 @@ offwind-float,FOM,1.305,%/year,https://doi.org/10.1016/j.adapen.2021.100067,,202
 offwind-float,investment,1770.0,EUR/kWel,https://doi.org/10.1016/j.adapen.2021.100067,,2020.0
 offwind-float,lifetime,20.0,years,C. Maienza 2020 A life cycle cost model for floating offshore wind farms,,2020.0
 offwind-float-connection-submarine,investment,2118.5597,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf,,2014.0
-offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017; average + 13% learning reduction,,2017.0
-offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction,,2017.0
+offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017, average + 13% learning reduction,2017.0
+offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017, assuming one onshore and one offshore node + 13% learning reduction,2017.0
 oil,CO2 intensity,0.2571,tCO2/MWh_th,Stoichiometric calculation with 44 GJ/t diesel and -CH2- approximation of diesel,,
 oil,FOM,2.4231,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm:  Fixed O&M,2015.0
 oil,VOM,6.3493,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm:  Variable O&M,2015.0
diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv
index 78a4724..21de79e 100644
--- a/outputs/costs_2050.csv
+++ b/outputs/costs_2050.csv
@@ -839,8 +839,8 @@ offwind-float,FOM,1.39,%/year,https://doi.org/10.1016/j.adapen.2021.100067,,2020
 offwind-float,investment,1580.0,EUR/kWel,https://doi.org/10.1016/j.adapen.2021.100067,,2020.0
 offwind-float,lifetime,20.0,years,C. Maienza 2020 A life cycle cost model for floating offshore wind farms,,2020.0
 offwind-float-connection-submarine,investment,2118.5597,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf,,2014.0
-offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017; average + 13% learning reduction,,2017.0
-offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction,,2017.0
+offwind-float-connection-underground,investment,1039.4778,EUR/MW/km,Haertel 2017, average + 13% learning reduction,2017.0
+offwind-float-station,investment,415.7911,EUR/kWel,Haertel 2017, assuming one onshore and one offshore node + 13% learning reduction,2017.0
 oil,CO2 intensity,0.2571,tCO2/MWh_th,Stoichiometric calculation with 44 GJ/t diesel and -CH2- approximation of diesel,,
 oil,FOM,2.4095,%/year,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm:  Fixed O&M,2015.0
 oil,VOM,6.3493,EUR/MWh,"Danish Energy Agency, technology_data_for_el_and_dh.xlsx",50 Diesel engine farm:  Variable O&M,2015.0