标题:A meta-frontier DEA approach to efficiency comparison of carbon reduction technologies on project level
作者:Wang, Nannan; Chen, Ji; Yao, Shengnan; Chang, Yen-Chiang
作者机构:[Wang, Nannan; Yao, Shengnan] Shandong Univ, Sch Management, 27 Shandanan Rd, Jinan 250100, Shandong, Peoples R China.; [Chen, Ji] Int Cooperat Dept 更多
通讯作者:Yao, Shengnan
通讯作者地址:[Yao, SN]Shandong Univ, Sch Management, 27 Shandanan Rd, Jinan 250100, Shandong, Peoples R China.
来源:RENEWABLE & SUSTAINABLE ENERGY REVIEWS
出版年:2018
卷:82
页码:2606-2612
DOI:10.1016/j.rser.2017.09.088
关键词:Carbon reduction efficiency; Carbon reduction technology; Renewable; energy; CCS technology; Meta-frontier DEA
摘要:Carbon reduction technologies such as renewable energy, nuclear energy and CCS technology for the power industry play a significant role in achieving low-carbon development goals. This research employed a metafrontier DEA approach to evaluate carbon reduction efficiency of technologies on project level. The sample consists of several groups of projects such as nuclear energy, hydro-electric energy, wind energy, solar energy and biomass energy and CCS technology in power plants. The comparison study takes consideration the carbon reduction efficiency gap and management level of different technologies for the power industry. The results reveal that 1) Biomass energy power plants and conventional power plants installed with CCS have the highest efficiency in carbon reduction efficiency, with potential improvement in management. 2) Nuclear power plants show a high efficiency in carbon reduction while facing some constraints from safety and stability issues. 3) Although wind power, hydro-electric power and solar power have been exploited in power generation for a long time, they still have low efficiency in reducing carbon emission from the power industry. Suggestions are provided for policy makers to choose appropriate low-carbon development route of the power industry.
收录类别:EI;SCOPUS;SCIE;SSCI
Scopus被引频次:1
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031321456&doi=10.1016%2fj.rser.2017.09.088&partnerID=40&md5=118798cdc6ffa82f9f0373856daddb08
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