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

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.

KEYWORDS:

• Beijing
• energy–environment system
• fuzzy chance-constrained programming
• fuzzy random variables
• stochastic chance-constrained programming

Acknowledgment

The authors deeply appreciate the anonymous reviewers for their insightful comments and suggestions, which contributed much to improving the manuscript.

Funding

This research was supported by the National Natural Science Foundation of China (Grant No. 51208196). This research was supported by the Fundamental Research Funds for the Central Universities [2015ZZD08].

Additional information

Funding

This research was supported by the National Natural Science Foundation of China (Grant No. 51208196). This research was supported by the Fundamental Research Funds for the Central Universities [2015ZZD08].