A stochastic fuzzy chance-constrained programming model for energy-environment system planning and management in the City of Beijing

作     者：Xu, Ye Huang, Guohe Shao, Liguo 

作者机构：North China Elect Power Univ Environm Res Acad MOE Key Lab Reg Energy & Environm Syst Optimizat Beijing Peoples R China Univ Regina Fac Engn & Appl Sci Regina SK Canada China Ctr Informat Ind Dev Beijing Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF GREEN ENERGY》 (国际绿色能源杂志)

年 卷 期：2017年第14卷第2期

页      面：171-183页

核心收录：

学科分类：0820[工学-石油与天然气工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：National Natural Science Foundation of China Fundamental Research Funds for the Central Universities [2015ZZD08] 

主　　题：Beijing energy-environment system fuzzy chance-constrained programming fuzzy random variables stochastic chance-constrained programming 

摘      要：A stochastic and fuzzy chance-constrained programming (SFCCP) model was developed in this study for supporting energy-environment management in the city of Beijing, China. SFCCP was capable of tackling the variables in constraints as fuzzy random variables, which were integration of randomness and vagueness. SFCCP was applied to an energy-environment management system in the city of Beijing. The study results indicated that SFCCP was useful in helping decision makers gain in-depth insights into proposed management system and establish environment-friendly energy allocation alternatives. The application of SFCCP is expected to provide a good demonstration to energy-environment management problems under complex uncertainties.