Site Selection Decision-Making for Offshore Wind-to-Hydrogen Production Bases Based on the Two-Dimensional Linguistic Cloud Model

Chen Fu, Li Lan, Su Chen, Mingxing Guo, Xiaojing Jiang, Xiaoran Yin and Chuanbo Xu ()
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Chen Fu: State Grid Shanghai Economic Research Institute, Shanghai 200235, China
Li Lan: State Grid Shanghai Economic Research Institute, Shanghai 200235, China
Su Chen: State Grid Shanghai Economic Research Institute, Shanghai 200235, China
Mingxing Guo: State Grid Shanghai Economic Research Institute, Shanghai 200235, China
Xiaojing Jiang: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Xiaoran Yin: 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

Energies, 2024, vol. 17, issue 20, 1-17

Abstract: Offshore wind-to-hydrogen production is an effective means of solving the problems of large-scale grid-connected consumption and high power transmission costs of offshore wind power. Site selection is a core component in planning offshore wind-to-hydrogen facilities, involving careful consideration of multiple factors, and is a classic multi-criteria decision-making problem. Therefore, this study proposes a multi-criteria decision-making method based on the two-dimensional linguistic cloud model to optimize site selection for offshore wind-to-hydrogen bases. Firstly, the alternative schemes are evaluated using two-dimensional linguistic information, and a new model for transforming two-dimensional linguistic information into a normal cloud is constructed. Then, the cloud area overlap degree is defined to calculate the interaction factor between decision-makers, and a multi-objective programming model based on maximum deviation-minimum correlation is established. Following this, the Pareto solution of criteria weights is solved using the non-dominated sorting genetic algorithm II, and the alternatives are sorted and selected through the cloud-weighted average operator. Finally, an index system was constructed in terms of resource conditions, planning conditions, external conditions, and other dimensions, and a case study was conducted using the location of offshore wind-to-hydrogen production bases in Shanghai. The method proposed in this study demonstrates strong robustness and can provide a basis for these multi-criteria decision-making problems with solid qualitative characteristics.

Keywords: hydrogen; offshore wind-to-hydrogen production; site selection decision; two-dimensional linguistic variable; normal cloud; cloud model (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
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