Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

An Improved Evaluation Model of Routes under the Influence of Offshore Wind Farms

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  • @INPROCEEDINGS{10.4108/eai.15-12-2023.2345340,
        author={Yucheng  Ying and Zhongzhou  Fan and Haiwei  Liu and Yuchi  Han},
        title={An Improved Evaluation Model of Routes under the Influence of Offshore Wind Farms},
        proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={PMBDA},
        year={2024},
        month={5},
        keywords={topsis; grey relational analysis; subjective and objective weighting method; wind farms; routes in port water; comprehensive evaluation},
        doi={10.4108/eai.15-12-2023.2345340}
    }
    
  • Yucheng Ying
    Zhongzhou Fan
    Haiwei Liu
    Yuchi Han
    Year: 2024
    An Improved Evaluation Model of Routes under the Influence of Offshore Wind Farms
    PMBDA
    EAI
    DOI: 10.4108/eai.15-12-2023.2345340
Yucheng Ying1, Zhongzhou Fan2,*, Haiwei Liu1, Yuchi Han1
  • 1: Navigation College Dalian Maritime University
  • 2: Maritime Safety Administration of Dongying
*Contact email: liuhaiwei0120@163.com

Abstract

In order to determine the optimal route in port waters under the influence of wind farms, the traditional evaluation system of routes was improved. Based on the influence of wind farms, the characteristics of port waters and the maritime data of relevant competent authorities, the influence of wind farms was determined as first level indicator. The TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) assessment model improved by the grey theo-ry was constructed, and the combinatorial weighting method was used to determine the weight of indicators. Taking the wind farms in Qinzhou Bay as an experimental object to evaluate the schemes of routes near the wind farms. The feasibility and effectiveness of the evaluation indicators system and evaluation model are verified. The results could be reference for the evaluation of routes in port water under the influence of wind farms.