Planning a sustainable urban electric power system with considering effects of new energy resources and clean production levels under uncertainty: A case study of Tianjin, China
文献类型：期刊论文
| 作者 | Chen, Cong2; Long, Hualou3,4,5; Zeng, Xueting1,6 |
| 刊名 | JOURNAL OF CLEANER PRODUCTION
 |
| 出版日期 | 2018-02-01 |
| 卷号 | 173页码:67-81 |
| 关键词 | Electric power system Environment Clean production Low carbon Risk-aversion Sustainable urban transformation |
| ISSN号 | 0959-6526 |
| DOI | 10.1016/j.jclepro.2017.01.098 |
| 通讯作者 | Long, Hualou(longhl@igsnrr.ac.cn) |
| 英文摘要 | This study develops a risk-aversion optimization model for an urban electric power system (RAOMUEPS), taking into account stochastic uncertainties. The RAOM-UEPS can manage stochastic uncertainties and capture associated risks from the stochastic information. This enables managers to analyze the trade-off between system cost and system risk in detail. Then, as a case study, the RAOM-UEPS is applied to the planning of an urban electric power system in Tianjin. Here, three scenarios are considered, each with different proportions of new energy resources and clean production levels (i.e., energy conversion efficiencies). This study aims to develop an urban electric power system (UEPS) optimization model that support the city's transformation from a coal-fired dominated to a low-carbon electric power mix, as well as to promote the sustainable development of society as a whole. The proposed model can facilitate a sophisticated system analysis of energy supply, electric power conversion, capacity expansion, and environment management over multiple periods. The results suggest that coal is dominant in Tianjin's electric power system, which was the primary air-pollutants and CO2 contributor in electric power system. Improving clean production levels and the proportion of new energy resources could effectively save energy resources and mitigate air pollutants and CO2 emissions. These findings can provide a scientific basis for the sustainable development of regional electric power systems, as well as for transformation from coal-dominated to low-carbon electric power cities. (C) 2017 Elsevier Ltd. All rights reserved. |
| WOS关键词 | ROBUST OPTIMIZATION ; DUAL UNCERTAINTIES ; MANAGEMENT ; MODEL ; EFFICIENCY ; EMISSIONS ; MULTIPERIOD ; MITIGATION ; REDUCTION |
| 资助项目 | National Natural Science Foundation of China[41130748] ; National Natural Science Foundation of China[71673022] ; National Natural Science Foundation of China[71272160] ; China Postdoctoral Science Foundation[2015M570140] |
| WOS研究方向 | Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000424310800007 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | National Natural Science Foundation of China ; China Postdoctoral Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/57102]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Long, Hualou |
| 作者单位 | 1.Capital Univ Econ & Business, Sch Labor Econ, Beijing 10070, Peoples R China 2.Univ Sci & Technol Beijing, Donlinks Sch Econ & Management, Beijing 100083, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Ctr Assessment & Res Targeted Poverty Alleviat, Beijing 100101, Peoples R China 6.Univ Regina, Inst Energy Environm & Sustainable Communities, Regina, SK S4S 0A2, Canada |
| 推荐引用方式 GB/T 7714 | Chen, Cong,Long, Hualou,Zeng, Xueting. Planning a sustainable urban electric power system with considering effects of new energy resources and clean production levels under uncertainty: A case study of Tianjin, China[J]. JOURNAL OF CLEANER PRODUCTION,2018,173:67-81. |
| APA | Chen, Cong,Long, Hualou,&Zeng, Xueting.(2018).Planning a sustainable urban electric power system with considering effects of new energy resources and clean production levels under uncertainty: A case study of Tianjin, China.JOURNAL OF CLEANER PRODUCTION,173,67-81. |
| MLA | Chen, Cong,et al."Planning a sustainable urban electric power system with considering effects of new energy resources and clean production levels under uncertainty: A case study of Tianjin, China".JOURNAL OF CLEANER PRODUCTION 173(2018):67-81. |
入库方式： OAI收割
来源：地理科学与资源研究所
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