Spatially explicit analysis identifies significant potential for bioenergy with carbon capture and storage in China
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Published:2021-05-26
Issue:1
Volume:12
Page:
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ISSN:2041-1723
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Container-title:Nature Communications
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language:en
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Short-container-title:Nat Commun
Author:
Xing Xiaofan, Wang RongORCID, Bauer NicoORCID, Ciais PhilippeORCID, Cao Junji, Chen JianminORCID, Tang Xu, Wang LinORCID, Yang Xin, Boucher Olivier, Goll DanielORCID, Peñuelas JosepORCID, Janssens Ivan A.ORCID, Balkanski YvesORCID, Clark JamesORCID, Ma JianminORCID, Pan Bo, Zhang ShichengORCID, Ye Xingnan, Wang YutaoORCID, Li QingORCID, Luo Gang, Shen GuofengORCID, Li WeiORCID, Yang Yechen, Xu Siqing
Abstract
AbstractAs China ramped-up coal power capacities rapidly while CO2 emissions need to decline, these capacities would turn into stranded assets. To deal with this risk, a promising option is to retrofit these capacities to co-fire with biomass and eventually upgrade to CCS operation (BECCS), but the feasibility is debated with respect to negative impacts on broader sustainability issues. Here we present a data-rich spatially explicit approach to estimate the marginal cost curve for decarbonizing the power sector in China with BECCS. We identify a potential of 222 GW of power capacities in 2836 counties generated by co-firing 0.9 Gt of biomass from the same county, with half being agricultural residues. Our spatially explicit method helps to reduce uncertainty in the economic costs and emissions of BECCS, identify the best opportunities for bioenergy and show the limitations by logistical challenges to achieve carbon neutrality in the power sector with large-scale BECCS in China.
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry
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