A review of multi-criteria decision making applications for renewable energy site selection. (September 2020)

• Record Type: Journal Article
• Authors: Shao, Meng; Han, Zhixin; Sun, Jinwei; Xiao, Chengsi; Zhang, Shulei; Zhao, Yuanxu
• Is Part Of: Renewable energy. Volume 157(2020)
• Page Start: 377
• Page End: 403
• Publication Date: 2020-09
• Subjects: Renewable energy generation -- Site selection -- Multi-criteria decision making -- Literature review; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2020.04.137
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: Multi-criteria decision making (MCDM) methods have become increasingly popular in site selection decision-making of renewable energy power plants because they consider multiple conflicting goals and decision-maker preferences. In this paper, a systematic literature review of MCDM applications for renewable energy site selection is performed, covering a total of 85 papers published from 2001 to 2018 in high-level journals (chosen from the ScienceDirect database). This paper has summarized the exclusion criteria and evaluation criteria of site selection for five energy sources. The five site selection stages, criteria selection, data normalization, criteria weighting, alternative evaluation and result validation, are revealed by content analysis. All papers are further classified by the date, energy source, journal of publication, country of author affiliation, and study area. It is found that different energy sources emphasize different criteria; however, some similarities exist. Literature surveys and expert opinions are most common criteria selection method. Reclassification is most frequently used data normalization method. The analytic hierarchy process is popular for weighting. In alternative evaluation, geographic information systems and weighted linear combination are the most popular tools. Varying the criteria weights is most commonly used result validation method. Highlights: This is the first review of MCDM applications for renewable energy site selection. It covers five energy sources: solar, onshore wind, offshore wind, wave and tidal. It focuses on two types of criteria and methods in the five site selection stages. It also involves methods for data normalization and result validation. The combination of GISs and MCDM is the most popular tool in this research area.