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	Interval-fuzzy municipal-scale energy model for identification of optimal strategies for energy management A case study of Tianjin, China
	Chen C.; Li, Y. P.; Huang, G. H.
	2016
关键词	Energy system Fuzzy programming Modeling Planning Municipal-scale Renewable energy solid-waste management electric-power systems multiobjective optimization multiple uncertainties programming approach generation constraints emission market flow
英文摘要	An interval-fuzzy municipal-scale energy model (IF-MEM) is developed for energy systems planning. IF-MEM can effectively tackle uncertainties presented in terms of fuzzy sets and discrete intervals. IF-MEM is applied to a real case of energy systems planning in the City of Tianjin, which is the economic and industrial center of northern China. IF-MEM allows in-depth analyses for tradeoffs among economic objective, satisfaction degree, and constraint-violation risk. The results indicate that reasonable solutions have been generated. The results suggest that: (i) coal would be the dominant sources in city's energy systems due to the increasing energy demand; however, its consumption ratio would decrease over the planning horizon due to requirements of environment protection and sustainable development; (ii) clean (e.g., natural gas, liquefied petroleum gas) and renewable energies (e.g., wind power, solar power) would be vigorously encouraged during the planning periods; (iii) coal-fired technology (i.e., coal-fired power and heat) would be the major contributor for the city's atmosphere pollution; (iv) the pollutant emissions would be decreased over the planning horizon due to the restriction of fossil fuels and the development of renewable energy. Promoting the utilization of renewable energy sources is crucial for supporting pollutant emission reduction and solving energy shortage crisis. (C) 2015 Published by Elsevier Ltd.
出处	Renewable Energy
卷	86
页	1161-1177
语种	英语
ISSN号	0960-1481
DOI标识	10.1016/j.renene.2015.09.040
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/42887]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Chen C.,Li, Y. P.,Huang, G. H.. Interval-fuzzy municipal-scale energy model for identification of optimal strategies for energy management A case study of Tianjin, China. 2016.

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