By the same authors

From the same journal

From the same journal

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

Research output: Contribution to journalArticlepeer-review


  • Xiaofan Xing
  • Rong Wang
  • Nico Bauer
  • Philippe Ciais
  • Junji Cao
  • Jianmin Chen
  • Xu Tang
  • Lin Wang
  • Xin Yang
  • Olivier Boucher
  • Daniel Goll
  • Josep Penuelas
  • Ivan Janssens
  • Yves Balkanski
  • Jianmin Ma
  • Bo Pan
  • Shicheng Zhang
  • Xingnan Ye
  • Yutao Wang
  • Qing Li
  • Gang Luo
  • Guofeng Shen
  • Wei Li
  • Yechen Yang
  • Siqing Xu


Publication details

JournalNature Communications
DateSubmitted - 22 Feb 2020
DateAccepted/In press - 19 Apr 2021
DatePublished (current) - 26 May 2021
Original languageEnglish


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.

Bibliographical note

© The Author(s) 2021

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