Spatially explicit analysis identifies significant potential for bioenergy with carbon capture and storage in China

Xiaofan Xing, Rong Wang (), Nico Bauer, Philippe Ciais, Junji Cao, Jianmin Chen, Xu Tang, Lin Wang, Xin Yang, Olivier Boucher, Daniel Goll, Josep Peñuelas, Ivan A. Janssens, Yves Balkanski, James Clark, Jianmin Ma, Bo Pan, Shicheng Zhang, Xingnan Ye, Yutao Wang, Qing Li, Gang Luo, Guofeng Shen, Wei Li, Yechen Yang and Siqing Xu
Additional contact information
Xiaofan Xing: Fudan University
Rong Wang: Fudan University
Nico Bauer: Member of the Leibniz Association
Philippe Ciais: CEA CNRS UVSQ
Junji Cao: Chinese Academy of Sciences
Jianmin Chen: Fudan University
Xu Tang: Fudan University
Lin Wang: Fudan University
Xin Yang: Fudan University
Olivier Boucher: Sorbonne Université/CNRS
Daniel Goll: Universität Augsburg
Josep Peñuelas: CREAF, Cerdanyola del Vallès
Ivan A. Janssens: University of Antwerp
Yves Balkanski: CEA CNRS UVSQ
James Clark: Department of Chemistry, Green Chemistry Centre of Excellence, The University of York
Jianmin Ma: Peking University
Bo Pan: Kunming University of Science and Technology
Shicheng Zhang: Fudan University
Xingnan Ye: Fudan University
Yutao Wang: Fudan University
Qing Li: Fudan University
Gang Luo: Fudan University
Guofeng Shen: Peking University
Wei Li: Tsinghua University
Yechen Yang: Fudan University
Siqing Xu: Fudan University

Nature Communications, 2021, vol. 12, issue 1, 1-12

Abstract: Abstract As 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.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23282-x

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DOI: 10.1038/s41467-021-23282-x

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