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

Fang-Shii Ning, Kuang-Chang Pien (), Wei-Jie Liou and Tsung-Chi Cheng
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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

Energies, 2024, vol. 17, issue 11, 1-24

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.

Keywords: fuzzy analytic hierarchy process; natural disaster; offshore wind turbine; risk assessment; spatial information (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: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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