A stochastic fuzzy chance-constrained programming model for energy–environment system planning and management in the City of Beijing |
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| Authors: | Ye Xu Guohe Huang Liguo Shao |
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| Institution: | 1. MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, Environmental Research Academy, North China Electric Power University, Beijing, China;2. Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan, Canada;3. China Center of Information Industry Development, Beijing, China |
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| Abstract: | 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. |
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| Keywords: | Beijing energy–environment system fuzzy chance-constrained programming fuzzy random variables stochastic chance-constrained programming |
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