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Site Selection for Offshore Wind Power Farms with Natural Disaster Risk Assessment: A Case Study of the Waters off Taiwan’s West Coast

Author

Listed:
  • Fang-Shii Ning

    (Department of Land Economics, National Chengchi University, Taipei 11605, Taiwan)

  • Kuang-Chang Pien

    (Defence and Security, Rabdan Academy, Abu Dhabi 22401, United Arab Emirates)

  • Wei-Jie Liou

    (Tamsui Land Office, New Taipei City Government, Taipei 11008, Taiwan)

  • Tsung-Chi Cheng

    (Department of Statistics, National Chengchi University, Section 2, ZhihNan Road, Taipei 11605, Taiwan)

Abstract

This research examines the risk of natural disasters for offshore wind turbines together with their potential wind energy capacity to help the site selection of offshore wind power farms. Through evaluations of expert questionnaires, we use the fuzzy analytic hierarchy process to weight how natural disasters damage the sub-assemblies of an offshore wind turbine, then obtain the natural disaster risk assessment model, and finally utilize ArcGIS Pro 3.2 to map the potential wind farm sites for the waters off Taiwan’s west coast. We identify that typhoons are the most threatening type of disaster to generators, rotor blades, and rotor hubs; earthquakes are the most threatening to towers; and lightning is the most threatening to transformers. For the whole wind turbine, wind is ironically the most threatening natural disaster, followed by lightning, sea waves, and then earthquakes. Lastly, we examine the results by overlapping the offshore wind farms developed and planned in Taiwan, which coincide with locations in relatively low risk and high wind speed areas.

Suggested Citation

  • Fang-Shii Ning & Kuang-Chang Pien & Wei-Jie Liou & Tsung-Chi Cheng, 2024. "Site Selection for Offshore Wind Power Farms with Natural Disaster Risk Assessment: A Case Study of the Waters off Taiwan’s West Coast," Energies, MDPI, vol. 17(11), pages 1-24, June.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2711-:d:1407861
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    References listed on IDEAS

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    1. Satish Tyagi, 2016. "An improved fuzzy-AHP (IFAHP) approach to compare SECI modes," International Journal of Production Research, Taylor & Francis Journals, vol. 54(15), pages 4520-4536, August.
    2. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    3. Guo, Haitao & Watson, Simon & Tavner, Peter & Xiang, Jiangping, 2009. "Reliability analysis for wind turbines with incomplete failure data collected from after the date of initial installation," Reliability Engineering and System Safety, Elsevier, vol. 94(6), pages 1057-1063.
    4. Zihua Zhang & Junhua Li & Ping Zhuge, 2014. "Failure Analysis of Large-Scale Wind Power Structure under Simulated Typhoon," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, July.
    5. Pacheco, A. & Gorbeña, E. & Sequeira, C. & Jerez, S., 2017. "An evaluation of offshore wind power production by floatable systems: A case study from SW Portugal," Energy, Elsevier, vol. 131(C), pages 239-250.
    6. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
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