Site Selection of Offshore Wind Power-Hydrogen Production and Refueling Ports Based on Empirical Mining and Hybrid Linguistic Approach

To support the decision-making for site selection of offshore wind power-hydrogen production and refueling ports (OWP-HPRP), we propose a multi-attribute decision-making method using experience mining algorithm and hybrid linguistic terminologies. Initially, the crawler algorithm, TextRank algorithm, Word2Vec algorithm, and Louvain algorithm are used to facilitate the mining, ranking, word pairs construction, and clustering of historical empirical documents, and an experience mining based attribute set is thereby obtained. Secondly, the linguistic terminologies such as the duality-confidence linguistics, cloud models and real numbers are introduced to enable the accommodation of quantitative and qualitative data expressions and to solve the distortion problem in transformation of data set. Finally, a standardized formula is introduced to process the indicator data, and a comprehensive ranking result is thus obtained. The effectiveness of the proposed method was verified through a case study of site selection for an offshore wind power-hydrogen production and refueling port. The results show that according to both the qualitative and quantitative assessments, the site scheme A5 based on the technical scheme of centralized hydrogen production + liquid hydrogen + purchase/lease of ships is comprehensively optimal. The sensitivity analysis indicates that the technical scheme of gas hydrogen storage and transportation technology combined with shipping transportation has a good performance in technical maturity and economy.