Electric Power ›› 2024, Vol. 57 ›› Issue (9): 113-123.DOI: 10.11930/j.issn.1004-9649.202403015

• Technical Economy, Planning and Operation, and Policy Mechanisms of Offshore Wind Power Hydrogen Production • Previous Articles     Next Articles

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

Ningbo HUANG1(), Jianwei GAO1(), Chuanbo XU1, Xuanhua XU2, Shutong ZHAO1, Xunjie GOU3, Xiaojing JIANG1   

  1. 1. School of Economics and Management, North China Electric Power University, Beijing 102206, China
    2. School of Business, Central South University, Changsha 410083, China
    3. Business School, Sichuan University, Chengdu 610065, China
  • Received:2024-03-06 Accepted:2024-06-04 Online:2024-09-23 Published:2024-09-28
  • Supported by:
    This work is supported by the Major Project for the National Natural Science Foundation of China (No.72293574), the National Natural Science Foundation of China (No.72071076), the Humanities and Social Science Project of the Ministry of Education of China (No.21YJC630030), and the China Postdoctoral Science Foundation (No.2020M680151, No.2023T160459), the China Hydrogen Alliance Policy Research Project (No.CHA2023RP001).

Abstract:

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.

Key words: offshore wind power, hydrogen production and refueling, experience minin, duality-confidence double hierarchy linguistics, cloud model