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Assessment on the Cost Synergies and Impacts among Measures on Energy Conservation, Decarbonization, and Air Pollutant Reductions Using an MCEE Model: A Case of Guangzhou, China
Xie, Yunsheng1,2,3; Wang, Peng1; Dou, Yi4; Yang, Lei3; Ren, Songyan1; Zhao, Daiqing1
2022-02-01
发表期刊ENERGIES
卷号15期号:4页码:22
通讯作者Wang, Peng(wangpeng@ms.giec.ac.cn) ; Zhao, Daiqing(zhaodq@ms.giec.ac.cn)
摘要Many challenges are faced in the process of urban sustainable development, including the continuous growth in energy demand and rapid increase in CO2 and air pollutant emissions. This study focuses on the costs of measures to address these issues and establishes a multi-objective comprehensive assessment model for energy saving, CO2, and pollutant emission (MCEE). Taking Guangzhou as an example, the sustainable development measures are divided into three categories, energy-saving, demand-optimization, and environmental-protection. Five scenarios are set to quantitatively evaluate the costs when these measures are implemented alone or coordinately for the period 2015-2035. Conclusions are as follows: (1) Measures of energy-saving and demand-optimization have the best synergistic effect on energy saving and emission reduction. The synergistic benefits include an 80% and 84% increase in energy savings and CO2 reductions, respectively, and more than 50% increase in pollutant reductions. (2) Measures of demand-optimization and energy-saving have the best synergistic effect on cost saving, which reduces the unit technical improvement costs of energy saving and CO2 reduction by 49.5% and 54.9%, respectively, and the unit end-of-pipe costs of four pollutants by 59.15%, 54.43%, 61.15%, and 51.96, respectively. (3) Environmental-protection measures have remarkable synergistic effects in reducing the cost of health loss and labor loss. At the price of a 5% increase in technical improvement cost and 9% in end-of-pipe treatment cost, health loss, labor loss, and total social cost will be reduced by 18%, 19%, and 3%, respectively. The above conclusions provide support for cities of the same type to coordinate various measures, reduce resistance and barriers to their implementation, compensate for the market deficiency of high costs of some measures, and achieve the goal of sustainable development.
关键词cost synergies energy saving decarbonization air pollutants reduction urban sustainability
DOI10.3390/en15041258
关键词[WOS]CLIMATE-CHANGE MITIGATION ; CEMENT INDUSTRY ; TRADE-OFFS ; BENEFITS ; EFFICIENCY ; EMISSIONS ; CO2 ; PROVINCE ; POLICIES ; QUALITY
收录类别SCI
语种英语
资助项目Energy Foundation China[G-1811-28738] ; National Natural Science Foundation of China[71603248] ; Science and Technology Planning Project of Guangdong Province[2017A050501060] ; JSPS KAKENHI[19K23530] ; JSPS KAKENHI[21K14276]
WOS研究方向Energy & Fuels
项目资助者Energy Foundation China ; National Natural Science Foundation of China ; Science and Technology Planning Project of Guangdong Province ; JSPS KAKENHI
WOS类目Energy & Fuels
WOS记录号WOS:000770666200001
出版者MDPI
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.giec.ac.cn/handle/344007/35961
专题中国科学院广州能源研究所
通讯作者Wang, Peng; Zhao, Daiqing
作者单位1.Guangzhou Inst Energy Convers, Chinese Acad Sci, Guangzhou 510640, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Inst Energy Res, Jiangxi Acad Sci, Nanchang 330096, Jiangxi, Peoples R China
4.Univ Tokyo, Platinum Soc, Tokyo 1138656, Japan
推荐引用方式
GB/T 7714
Xie, Yunsheng,Wang, Peng,Dou, Yi,et al. Assessment on the Cost Synergies and Impacts among Measures on Energy Conservation, Decarbonization, and Air Pollutant Reductions Using an MCEE Model: A Case of Guangzhou, China[J]. ENERGIES,2022,15(4):22.
APA Xie, Yunsheng,Wang, Peng,Dou, Yi,Yang, Lei,Ren, Songyan,&Zhao, Daiqing.(2022).Assessment on the Cost Synergies and Impacts among Measures on Energy Conservation, Decarbonization, and Air Pollutant Reductions Using an MCEE Model: A Case of Guangzhou, China.ENERGIES,15(4),22.
MLA Xie, Yunsheng,et al."Assessment on the Cost Synergies and Impacts among Measures on Energy Conservation, Decarbonization, and Air Pollutant Reductions Using an MCEE Model: A Case of Guangzhou, China".ENERGIES 15.4(2022):22.
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