Multi-criteria integrated evaluation of distributed energy system for community energy planning based on improved grey incidence approach: A case study in Tianjin. (1st November 2018)

• Record Type: Journal Article
• Authors: Yang, Kun; Ding, Yan; Zhu, Neng; Yang, Fan; Wang, Qiaochu
• Is Part Of: Applied energy. Volume 229(2018)
• Page Start: 352
• Page End: 363
• Publication Date: 2018-11-01
• Subjects: Community energy planning -- Multi-criteria integrated evaluation -- Rank correlation analysis -- Entropy information method -- Grey incidence evaluation; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2018.08.016
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: A multi-criteria evaluation system is proposed for community energy planning. Both subjective and objective weights are considered for the optimal weight. An improved grey incidence method is used to evaluate energy planning schemes. The optimized CCHP is the best scheme for the university campus in this study. Abstract: Community energy planning is necessary for sustainable development of energy systems. However, given a series of energy sources and energy utilization technologies, it is crucial to select the optimal energy supply system to obtain the maximum comprehensive benefits. This study attempts to extend a multi-criteria integrated evaluation method that considers the aspects of technology, economy, environment, and society for evaluating the planning schemes of distributed energy supply systems. First, the rank correlation analysis and entropy information method are adopted to obtain subjective and objective weights, respectively. A combination of the maximum entropy principle and the minimized weighed generalized distance to the ideal scheme are employed to obtain optimal weighting coefficients. Second, based on the different priorities of evaluation indexes, the optimal schemes are established based on the improved grey incidence evaluation method, and under the integrated evaluation, the optimized combined cooling/heating and power system is proven to be the best option for the given case study. The results show that the proposed multi-criteria integrated evaluation method is a simple and practical tool for community energy planning.