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A MCDM framework for site selection of island photovoltaic charging station based on new criteria identification and a hybrid fuzzy approach.
- Source :
- Sustainable Cities & Society; Nov2021, Vol. 74, pN.PAG-N.PAG, 1p
- Publication Year :
- 2021
-
Abstract
- • This study proposes a multi-criteria decision-making framework for site selection of island photovoltaic charging station. • In view of the particularity of IPVCS site selection problem, an comprehensive evaluation criteria system is established. • Considering the fuzzy correlation exists between criteria, the λ- fuzzy measure method is used to determine the weight of the first-class criteria. • To deal with the conflicts among criteria, the VIKOR method is applied to select the most suitable site. With the increasingly serious environmental problems and the charging demand of electric ships, it is necessary to build charging stations on islands. The first step is site selection, but there are few studies on the site selection of island photovoltaic charging station (IPVCS). Therefore, a multi-criteria decision-making (MCDM) framework for site selection of IPVCS is proposed to select the optimal alternative. In this framework, a new evaluation criteria system is established, and two additional criteria, namely 'Probability of extreme weather' and 'Charging distance of ship', are proposed on the basis of existing criteria. At the same time, fuzzy correlation exists between criteria. Therefore, the λ- fuzzy measure method is used to determine the weight of the first-class criteria. And the fuzzy Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is used to rank the alternatives. The hybrid fuzzy approach includes analytic hierarchy process (AHP), entropy weight method, λ- fuzzy measure method and VIKOR. Through the analysis of Chinese cases, results show that the optimal alternative is A 3 (Chongming, located in shanghai). To verify the stability of the decision-making framework, sensitivity analysis is carried out, and the limit value which makes the optimal alternative change is obtained. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 22106707
- Volume :
- 74
- Database :
- Supplemental Index
- Journal :
- Sustainable Cities & Society
- Publication Type :
- Academic Journal
- Accession number :
- 152427417
- Full Text :
- https://doi.org/10.1016/j.scs.2021.103230