Optimal Site Selection of Tidal Power Plants Using a Novel Method: A Case in China

Yunna Wu, Chuanbo Xu and Hu Xu
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Yunna Wu: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Chuanbo Xu: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Hu Xu: School of Economics and Management, North China Electric Power University, Beijing 102206, China

Energies, 2016, vol. 9, issue 10, 1-26

Abstract: The site selection plays an important role in the entire life cycle of a tidal power plant (TPP) project. However, some problems decrease the evaluation quality of TPP site selection: (a) suitable and effective methods are scarce since the TPP site selection involves multiple forms of data; (b) there is no comprehensive evaluation index system due to the unilateralism of existing criteria. In this paper, we firstly propose a novel method based on interval number with probability distribution weighted operation and stochastic dominance degree. It takes all stakeholders’ preferences into consideration and can simultaneously deal with different forms of data in the TPP site selection; then, a comprehensive evaluation index system for TPP site selection is constructed on the basis of academic literature, feasibility research reports and expert opinions in different fields. It takes the factors of construction conditions, existing policies, social impacts as well as ecological and environmental impacts which reflects the inherent characteristics of TPP site selection fully into account. Finally, a Chinese case study is given to illustrate the applicability and effectiveness of the proposed method.

Keywords: site selection; tidal power plant; interval number with probability distribution; stochastic dominance degree; evaluation index system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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