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

Author:

Zhang Qianneng12,Jiang Yipeng2,Ren Haidong2,Tang Hao1,Tang Daogui12ORCID,Yuan Chengqing134ORCID,Guerrero Josep M.5ORCID

Affiliation:

1. School of Transportation and Logistics Engineering, Wuhan University of Technology, 1178 Heping Street, Wuhan 430063, China

2. Ningbo Zhoushan Port Group Co., Ltd., 269 Ningdong Road, Ningbo 315100, China

3. State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan 430063, China

4. National Engineering Research Center for Water Transport Safety (WTS Center), Wuhan University of Technology, Wuhan 430063, China

5. Center for Research on Microgrids (CROM), AAU Energy, Aalborg University, 9220 Aalborg East, Denmark

Abstract

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.

Funder

National Key Research and Development Program of China

Key Laboratory of Transport Industry of Port Cargo Handling Technology, Ministry of Transport, PRC

Publisher

MDPI AG

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