Optimal Planning for Wind Turbines in Mega Seaports Considering Practical Application Constraints: A Case Study of Ningbo-Zhoushan Port

• Published in: Journal of marine science and engineering Vol. 12; no. 4; p. 631
• Main Authors: Zhang, Qianneng, Jiang, Yipeng, Ren, Haidong, Tang, Hao, Tang, Daogui, Yuan, Chengqing, Guerrero, Josep M.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2024
• Subjects: Air-turbines; Alternative energy sources; Analytic hierarchy process; Atmospheric boundary layer; Buildings and facilities; Carbon; Carbon emissions; Cargo handling; Case studies; Construction sites; Economic benefits; Electric power demand; Emissions; Emissions (Pollution); Emissions control; Energy consumption; Energy resources; Energy sources; Entropy (statistics); green port; Green technology; Harbours; Indicators; Marine cargo handling industry; Multiple criteria decision making; Noise control; Ports; Preferences; Renewable energy; Renewable resources; Site selection; System effectiveness; TOPSIS; Turbine engines; turbine site selection; turbine type selection; Weighting methods; Wind farms; Wind power; wind resources; Wind turbines; China
• ISSN: 2077-1312; 2077-1312
• DOI: 10.3390/jmse12040631

In the context of global carbon neutrality, ports face significant electricity demand for cargo handling and pressure to reduce carbon emissions. The abundant wind energy resources in port areas make wind power highly promising for port applications. The optimal selection of site and turbine types for wind power systems can effectively reduce emissions in ports, achieving sustainability and improving economic benefits. The practical implementation of wind energy systems considering practical constraints holds significant research significance. Taking Ningbo-Zhoushan Port as an example, this paper analyzes the wind energy resources in the port area and provides an overview of wind power system construction sites. Based on the actual conditions of the port area, this paper comprehensively reviews the site selection of wind turbines from the perspectives of wind resources, specific climates, and noise impacts. With the consideration of engineering preferences, this paper selects performance indicators based on the four mainstream turbine models and proposes a comprehensive weight determination method using the entropy weight method and analytic hierarchy process (AHP) to determine the weights of the indicators. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is then employed to score and compare four turbine plans, enabling the turbine selection process to consider both engineering preferences and objectivity, thereby enhancing the accuracy and reliability of wind turbine planning and achieving significant ecological and economic benefits through benefit analysis.