Evaluation of the Spatial Suitability of Offshore Wind Farm—A Case Study of the Sea Area of Liaoning Province

Jie Huang, Xiaolu Huang, Nanqi Song, Yu Ma and Dan Wei
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Jie Huang: National Marine Environmental Monitoring Center, Dalian 116023, China
Xiaolu Huang: National Marine Environmental Monitoring Center, Dalian 116023, China
Nanqi Song: School of Environment, Beijing Normal University, Beijing 100875, China
Yu Ma: National Marine Environmental Monitoring Center, Dalian 116023, China
Dan Wei: Liaoning Dalian Ecological Environment Monitoring Center, Dalian 116023, China

Sustainability, 2022, vol. 14, issue 1, 1-17

Abstract: Actively promoting the development of offshore wind power is an inevitable choice if the People’s Republic of China plans to fulfill its international commitments, respond to climate change, ensure energy security, and improve energy infrastructure. Inevitably, offshore wind power development will conflict with other marine activities, including mariculture and shipping. Therefore, learning how to develop offshore wind power without affecting the environment or conflicting with other marine activities is crucial to the conservation of spatial marine resources. The rapid development of offshore wind power in Liaoning Province has allowed researchers to develop an index system that can be used to evaluate the suitability of offshore wind power development sites by considering costs, environmental protection, and sea management. Spatial analysis and a multi-attribute evaluation method integrating a fuzzy membership function were used to evaluate offshore wind farm placement in Liaoning. The results classified 5%, 18%, 21%, and 56% offshore areas of Liaoning as very suitable, relatively suitable, somewhat unsuitable, and unsuitable for wind power development, respectively. The results of this paper can provide a reference for decision makers who plan for offshore wind farm locations under the constraints of high-intensity development.

Keywords: offshore wind farm; suitability evaluation; multiple attribute decision making; geographic information system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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