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

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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)

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.

Suggested Citation

  • Yunna Wu & Chuanbo Xu & Hu Xu, 2016. "Optimal Site Selection of Tidal Power Plants Using a Novel Method: A Case in China," Energies, MDPI, vol. 9(10), pages 1-26, October.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:10:p:832-:d:80835
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    References listed on IDEAS

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    4. Shangyao Shi & Jiayu Chen & Jun Li & Jiahao Liu & Ziyi Wang & Zhiru Li & Pengyun Chen & Lizhou Li, 2024. "Engineering Fastest Control: A New Process Control Method for Thermal Power Units," Energies, MDPI, vol. 17(4), pages 1-18, February.

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