气候变化领域集成服务门户(CCPortal): Spatially explicit analysis identifies significant potential for bioenergy with carbon capture and storage in China

CCPortal

DOI	10.1038/s41467-021-23282-x
	Spatially explicit analysis identifies significant potential for bioenergy with carbon capture and storage in China
	Xing X.; Wang R.; Bauer N.; Ciais P.; Cao J.; Chen J.; Tang X.; Wang L.; Yang X.; Boucher O.; Goll D.; Peñuelas J.; Janssens I.A.; Balkanski Y.; Clark J.; Ma J.; Pan B.; Zhang S.; Ye X.; Wang Y.; Li Q.; Luo G.; Shen G.; Li W.; Yang Y.; Xu S.
发表日期	2021
ISSN	2041-1723
卷号	12 期号:1
英文摘要	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. © 2021, The Author(s).
语种	英语
scopus关键词	carbon; bioenergy; biomass; carbon dioxide; carbon emission; carbon sequestration; crop residue; estimation method; feasibility study; sustainability; Article; bioenergy; biomass; carbon footprint; carbon storage; carbonization; China; electric power plant; energy crop; energy yield; environmental policy; Miscanthus; process optimization; spatial analysis; China
来源期刊	Nature Communications
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/250687
作者单位	Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, China; IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health (WECEIPHE), Fudan University, Shanghai, China; Institute of Atmospheric Sciences, Fudan University, Shanghai, China; Center for Urban Eco-Planning and Design, Fudan University, Shanghai, China; Big Data Institute for Carbon Emission and Environmental Pollution, Fudan University, Shanghai, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, China; Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany; Laboratoire des Sciences du Climat et de l’Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, France; Climate and Atmosphere Research Center (CARE-C) The Cyprus Institute 20 Konstantinou Kavafi Street, Nicosia, 2121, Cyprus; Institute of Atmosp...
推荐引用方式 GB/T 7714	Xing X.,Wang R.,Bauer N.,et al. Spatially explicit analysis identifies significant potential for bioenergy with carbon capture and storage in China[J],2021,12(1).
APA	Xing X..,Wang R..,Bauer N..,Ciais P..,Cao J..,...&Xu S..(2021).Spatially explicit analysis identifies significant potential for bioenergy with carbon capture and storage in China.Nature Communications,12(1).
MLA	Xing X.,et al."Spatially explicit analysis identifies significant potential for bioenergy with carbon capture and storage in China".Nature Communications 12.1(2021).