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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Applied Energyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Applied Energy
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Near-term CO2 storage potential for coal-fired power plants in China: A county-level source-sink matching assessment

Authors: Mao Xu; Jing-Li Fan; Shuo Shen; Shijie Wei; Xian Zhang;

Near-term CO2 storage potential for coal-fired power plants in China: A county-level source-sink matching assessment

Abstract

Abstract Carbon capture, utilization, and storage (CCUS) is regarded as an important option to reduce the CO2 emission of the electricity industry, especially in China. But emissions reduction potential of CCUS within each special administrative region needs to be identified. We explored the near-term CO2 storage potential of coal-fired power plants in China from the county perspective. According to the results of emissions sources and storage sites within counties, the following findings were reached: 1) Coal-fired power plants are distributed in 441 counties, the oil fields are in 149 counties, and the deep saline aquifers are in 561 counties. The spatial distribution of storage sites and coal-fired power plants is not consistent across counties. 2) Considering the injection capacity of single well, the CO2 storage potential decreased by more than 50%. Thirty counties have emission reduction potential through CCUS, with a total of 99.01Mt/y. 3) The CCUS emission reduction of counties in the top five provinces accounts for 83.9% of the total. Hebei, Xinjiang, Tianjin, Jiangsu, and Anhui provinces can be regarded as demonstration provinces for near term project deployment.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
56
Top 1%
Top 10%
Top 1%