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Energies 2016, 9(10), 832; doi:10.3390/en9100832

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

School of Economics and Management, North China Electric Power University, Beijing 102206, China
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Academic Editor: Stephen Nash
Received: 15 May 2016 / Revised: 19 September 2016 / Accepted: 26 September 2016 / Published: 19 October 2016
(This article belongs to the Special Issue Numerical Modelling of Wave and Tidal Energy)
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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. View Full-Text
Keywords: site selection; tidal power plant; interval number with probability distribution; stochastic dominance degree; evaluation index system site selection; tidal power plant; interval number with probability distribution; stochastic dominance degree; evaluation index system
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Wu, Y.; Xu, C.; Xu, H. Optimal Site Selection of Tidal Power Plants Using a Novel Method: A Case in China. Energies 2016, 9, 832.

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