Preliminary assessment of CO2 geological storage potential in Chongqing, China

被引:8
|
作者
Fang, Zhiming [1 ]
Li, Xiaochun [1 ]
机构
[1] Chinese Acad Sci, State Key Lab Geomech & Geotech Engn, Inst Rock & Soil Mech, Wuhan, Peoples R China
关键词
CO2 geological storage; potential; Low-carbon economy; Chongqing; China;
D O I
10.1016/j.proenv.2011.12.161
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a preliminary assessment of the potential for CO2 geological storage in Chongqing, China. Currently, there are about 116 large stationary CO2 point emission sources which emit 85.57 MtCO(2)/yr totally. These stationary sources are mainly belonged to four industries: cement, power plant, iron & steel and synthetic ammonia industries. In the three kinds of geological storage formations, namely, deep saline formations (DSFs), unmineable coalbeds and depleted gas fields, the total basin-scale theoretical storage capacities of CO2 reach 24.36 Gt, equivalent to about 285 times of the annual total CO2 emissions in Chongqing. The DSFs have the largest potential storage capacity accounting for 98% of the total storage capacities. The matching results between CO2 point emission sources and candidate geological storage formations show that 94.8% of the point emission sources (accounting for 97.1% of annual total emissions) can find at least one candidate geological storage formation in its adjacent areas. This means that, for Chongqing, the CO2 transport cost is likely very low. The research findings indicate that there is great potential for CO2 geological storage technology to deploy in Chongqing and for this technology to deliver profound and sustaining impacts on reducing CO2 emissions and developing low-carbon economy in Chongqing. This preliminary study is expected to stimulate more researches, critical thinking and policy actions to promote positive measures to reduce greenhouse gas emissions so as to mitigate the impact of global climate change, as well as to set a good example for other regions in China. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Intelligent Information Technology Application Research Association.
引用
收藏
页码:1064 / 1071
页数:8
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