Adsorption-based direct air carbon capture and storage(DACCS)is an emerging approach to mitigate climate change by removing CO_(2) from the atmosphere.Recent studies show separately that thermodynamic and environmenta...Adsorption-based direct air carbon capture and storage(DACCS)is an emerging approach to mitigate climate change by removing CO_(2) from the atmosphere.Recent studies show separately that thermodynamic and environmental performance strongly depend on regional ambient conditions and energy supply but neglect regional CO_(2) storage potentials.To assess DACCS performance holistically,a detailed global analysis is needed that accounts for the inter-play of regional ambient conditions,energy supply,and CO_(2) storage potential.Hence,we present a novel method for the optimal siting of DACCS plants derived from optimising a dynamic process model that uses global hourly weather data and regionalised data on electricity supply and CO_(2) storage potential.The carbon removal rate(CRR)measures the climate benefit and describes the speed at which a DACCS plant generates net negative emissions.First,we assume that CO_(2) storage is possible everywhere.For four electricity supply scenarios,we show that the opti-mal siting of DACCS significantly increases the CRR when comparing the best and worst locations in each scenario:For a DACCS plant with a nameplate capture capacity of 4 kt CO_(2)y^(-1),the CRR can be increased by 63%from 2.16 to 3.53 kt CO_(2)y^(-1) when using photovoltaic,and by 39%from 2.95 to 4.1 kt CO_(2)y^(-1) when using wind power.Assum-ing a carbon-free electricity supply,the CRR varies between 3.17 and 4.17 kt CO_(2)y^(-1)(32%).Second,we significantly narrow down optimal locations for DACCS considering regional CO_(2) storage potential through CO_(2) mineralisation.Overall,accounting for the interplay of regional DAC performance,energy supply,and CO_(2) storage potential can significantly improve DACCS siting.展开更多
基金This work has been carried out within the project"DAC-TALES-Transdisciplinary Assessment Combining Labs,the Environment,the Economy,and Society"(01LS2106A)funded by the German Federal Ministry of Education and Research(BMBF).
文摘Adsorption-based direct air carbon capture and storage(DACCS)is an emerging approach to mitigate climate change by removing CO_(2) from the atmosphere.Recent studies show separately that thermodynamic and environmental performance strongly depend on regional ambient conditions and energy supply but neglect regional CO_(2) storage potentials.To assess DACCS performance holistically,a detailed global analysis is needed that accounts for the inter-play of regional ambient conditions,energy supply,and CO_(2) storage potential.Hence,we present a novel method for the optimal siting of DACCS plants derived from optimising a dynamic process model that uses global hourly weather data and regionalised data on electricity supply and CO_(2) storage potential.The carbon removal rate(CRR)measures the climate benefit and describes the speed at which a DACCS plant generates net negative emissions.First,we assume that CO_(2) storage is possible everywhere.For four electricity supply scenarios,we show that the opti-mal siting of DACCS significantly increases the CRR when comparing the best and worst locations in each scenario:For a DACCS plant with a nameplate capture capacity of 4 kt CO_(2)y^(-1),the CRR can be increased by 63%from 2.16 to 3.53 kt CO_(2)y^(-1) when using photovoltaic,and by 39%from 2.95 to 4.1 kt CO_(2)y^(-1) when using wind power.Assum-ing a carbon-free electricity supply,the CRR varies between 3.17 and 4.17 kt CO_(2)y^(-1)(32%).Second,we significantly narrow down optimal locations for DACCS considering regional CO_(2) storage potential through CO_(2) mineralisation.Overall,accounting for the interplay of regional DAC performance,energy supply,and CO_(2) storage potential can significantly improve DACCS siting.
