Comprehensive evaluation of renewable energy technical plans based on data envelopment analysis. (February 2019)

• Record Type: Journal Article
• Authors: Zeng, Yuan; Guo, Waiying; Zhang, Fengbin
• Is Part Of: Energy procedia. Volume 158(2019)
• Page Start: 3583
• Page End: 3588
• Publication Date: 2019-02
• Subjects: renewable energy -- data envelopment analysis -- intuitionistic fuzzy number -- relative efficiency; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2019.01.907
• Languages: English
• ISSNs: 1876-6102

Abstract

Abstract: Nowadays different kinds of renewable energy resources have got rapid development. For renewable energy planning, it is meaningful to assess the comprehensive performance of different candidate renewable energy schemes and distinguish the optimal. In view of this, based on data envelopment analysis(DEA), this paper presents a comprehensive evaluation method of renewable energy technical plans. Firstly, multiple indexes from different aspects are taken into consideration to establish the index system. And in the index processing stage, intuitionistic fuzzy number theory is adopted to describe the fuzziness and ambiguity in qualitative index and convert it into quantitative calculation. Then, super-efficiency DEA model is used to determine the relative ranking of different plans based on the concept of relative efficiency. Finally, a real case of renewable energy development in 2020 from a province in China is used to illustrate the feasibility and effectiveness of the proposed method in this paper. Results show that this proposed method can overcome the shortcoming of traditional basic DEA model and get more objective evaluation results and provide beneficial references for renewable energy planning and development.