| Literature DB >> 34039971 |
Xiaofan Xing1, Rong Wang2,3,4,5,6,7, Nico Bauer8, Philippe Ciais9,10, Junji Cao11, Jianmin Chen1,12,13, Xu Tang1,12,13, Lin Wang1, Xin Yang1, Olivier Boucher14, Daniel Goll15, Josep Peñuelas16,17, Ivan A Janssens18, Yves Balkanski9, James Clark19, Jianmin Ma20, Bo Pan21, Shicheng Zhang1, Xingnan Ye1, Yutao Wang1, Qing Li1, Gang Luo1, Guofeng Shen20, Wei Li22, Yechen Yang1, Siqing Xu1.
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.Entities:
Year: 2021 PMID： 34039971 DOI： 10.1038/s41467-021-23282-x
Source DB: PubMed Journal: Nat Commun ISSN： 2041-1723 Impact factor: 14.919