Optimal selection of different CCS technologies under CO2 reduction targets

被引:0
|
作者
Huanan Li
Quande Qin
机构
[1] Shenzhen University,Department of Management Science, College of Management
[2] Beijing Institute of Technology,Center for Energy and Environmental Policy Research
[3] Beijing Institute of Technology,School of Management and Economics
[4] Collaborative Innovation Center of Electric Vehicles in Beijing,undefined
[5] Sustainable Development Research Institute for Economy and Society of Beijing,undefined
来源
Natural Hazards | 2017年 / 88卷
关键词
Carbon capture and storage (CCS); Interval programming; CO; reduction; China;
D O I
暂无
中图分类号
学科分类号
摘要
In China, carbon capture and storage (CCS) is recognized as one of the most promising technologies through which to achieve a large reduction in CO2 emissions in future. The choice among different CCS technologies is critical for large-scale applications. With the aim of developing instructive policy suggestions for CCS development, this study proposed an interval programming model to select the optimal CCS technology among the different CCS technologies available in China. The analysis results indicate that the selection of CO2 capture technologies should be based on the actual situation of the project and industry being targeted. If the government implements mandatory CO2 emission reductions, storage in deep saline aquifers is the optimal choice for CO2 sequestration when oil prices are low and the number of available CO2 emission permits is large. In contrast, enhanced oil recovery is the optimal choice when oil prices increase and the availability of CO2 emission permits decreases. It is critical that the government reduce the operating cost and the cost of CO2 capture in particular.
引用
收藏
页码:1197 / 1209
页数:12
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