A hybrid probabilistic linguistic term set decision-making evaluation method and its application in the site selection of offshore wind power station. (15th December 2022)

• Record Type: Journal Article
• Authors: Zhou, Qingchao; Ye, Chunming; Geng, Xiuli
• Is Part Of: Ocean engineering. Volume 266(2022) Part 3
• Publication Date: 2022-12-15
• Subjects: Offshore wind power station -- Site selection -- Probabilistic linguistic term set -- BWM -- TODIM; Ocean engineering -- Periodicals; Ocean engineering; Periodicals; 620.4162
• DOI: 10.1016/j.oceaneng.2022.112959
• Languages: English
• ISSNs: 0029-8018

Abstract

Abstract: In the context of carbon neutrality, China vigorously develops clean energy and renewable energy. As a result, offshore wind power projects have grown rapidly. The success of offshore wind power projects depends on the location of offshore wind power station(OWPS), and this paper aims to develop a hybrid decision-making framework to address the location of offshore wind power stations. Firstly, a comprehensive evaluation attribute system of offshore wind power station site selection is innovatively constructed, including wind resources, construction conditions, economy, environment and risks. Secondly, probabilistic linguistic term set(PLTS) is used to describe uncertain information, which improves the reliability of decision information. Thirdly, The Best-worst method (BWM) based on probabilistic language term sets determines the weights of attributes, which ensures the accuracy of the attribute weight. Finally, an extended TODIM (an acronym in Portuguese of Interactive and Multicriteria Decision Making) method is proposed to rank the alternatives. The proposed method is applied to the location selection of offshore wind power station in Jiangsu Province, China. Through sensitivity analysis and comparative analysis, it is verified that the proposed model has good stability and applicability. Highlights: A new multi-attribute decision-making model is proposed. Establish the evaluation attribute system of offshore wind power station location. Expression of evaluation information by probability language. Probability Language and Best-worst Method Combined to Calculate Attribute Weight. An improved Interactive and Multicriteria Decision Making method is proposed.