IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i3p1074-d1326997.html
   My bibliography  Save this article

Research on Wind Turbine Location and Wind Energy Resource Evaluation Methodology in Port Scenarios

Author

Listed:
  • Chuan Huang

    (Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
    College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China)

  • Changjian Liu

    (Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
    Digital Laboratory of Integrated Transportation Planning, Beijing 100028, China)

  • Ming Zhong

    (Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China
    National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430063, China
    State Key Laboratory of Waterway Traffic Control, Wuhan University of Technology, Wuhan 430063, China)

  • Hanbing Sun

    (Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
    Digital Laboratory of Integrated Transportation Planning, Beijing 100028, China)

  • Tianhang Gao

    (Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
    Digital Laboratory of Integrated Transportation Planning, Beijing 100028, China)

  • Yonglin Zhang

    (Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
    Digital Laboratory of Integrated Transportation Planning, Beijing 100028, China)

Abstract

Wind energy is widely distributed in China as a renewable energy source. Aiming to alleviate the issues resulting from fossil fuel consumption faced by developing and developed countries (e.g., climate change) and to meet development needs, this study innovatively proposed methods for the location selection of wind farms and wind turbines in port areas based on the fuzzy comprehensive evaluation method. Considering that the wind turbine location is crucial to wind power generation, this paper focuses on locating wind turbines within a specific set of sea ports. The primary objectives of this paper are to evaluate the potential of wind power generation under different port scenarios and develop a method for assessing the potential of wind energy resources in wind farm areas. Firstly, a method is proposed for identifying the boundaries of wind farms in the port areas and locating wind turbines at sea ports. Furthermore, this study used the National Aeronautics and Space Administration (NASA) wind speed database to test the proposed method with the real-world wind power projects of the Ports of Tianjin, Shanghai, Xiamen, Shenzhen, and Hainan, which are top ports within five major coastal port clusters in China. It is found that the potential power generation capacity of the wind power farms at the above ports is 30.71 GWh, 19.82 GWh, 16.72 GWh, 29.45 GWh, and 24.42 GWh, respectively. Additionally, sensitive results for different types of wind turbines are conducted in the following experiment. The results of this study are fundamental for enriching the research of evaluating wind energy resources of sea ports and promoting the development and use of clean energy in practical environments. Further, the method proposed in this study is essential for optimizing the location and construction of wind turbines, which may help ports in adopting a low-carbon and green development path, thereby mitigating air pollution, and promoting sustainable development.

Suggested Citation

  • Chuan Huang & Changjian Liu & Ming Zhong & Hanbing Sun & Tianhang Gao & Yonglin Zhang, 2024. "Research on Wind Turbine Location and Wind Energy Resource Evaluation Methodology in Port Scenarios," Sustainability, MDPI, vol. 16(3), pages 1-24, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:3:p:1074-:d:1326997
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/3/1074/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/3/1074/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Konstantinos, Ioannou & Georgios, Tsantopoulos & Garyfalos, Arabatzis, 2019. "A Decision Support System methodology for selecting wind farm installation locations using AHP and TOPSIS: Case study in Eastern Macedonia and Thrace region, Greece," Energy Policy, Elsevier, vol. 132(C), pages 232-246.
    2. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2023. "Sustainable development pathways of China's wind power industry under uncertainties: Perspective from economic benefits and technical potential," Energy Policy, Elsevier, vol. 182(C).
    3. Jin, Jingxin & Li, Yilin & Ye, Lin & Xu, Xunjian & Lu, Jiazheng, 2023. "Integration of atmospheric stability in wind resource assessment through multi-scale coupling method," Applied Energy, Elsevier, vol. 348(C).
    4. Díaz, H. & Silva, D. & Bernardo, C. & Guedes Soares, C., 2023. "Micro sitting of floating wind turbines in a wind farm using a multi-criteria framework," Renewable Energy, Elsevier, vol. 204(C), pages 449-474.
    5. Wimhurst, Joshua J. & Greene, J. Scott & Koch, Jennifer, 2023. "Predicting commercial wind farm site suitability in the conterminous United States using a logistic regression model," Applied Energy, Elsevier, vol. 352(C).
    6. Elshafei, Basem & Peña, Alfredo & Xu, Dong & Ren, Jie & Badger, Jake & Pimenta, Felipe M. & Giddings, Donald & Mao, Xuerui, 2021. "A hybrid solution for offshore wind resource assessment from limited onshore measurements," Applied Energy, Elsevier, vol. 298(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Konrad Henryk Bachanek & Wojciech Drożdż & Maciej Kolon, 2025. "Development of Renewable Energy Sources in Poland and Stability of Power Grids—Challenges, Technologies, and Adaptation Strategies," Energies, MDPI, vol. 18(8), pages 1-23, April.
    2. Sudip Basack & Satyabrata Podder & Shantanu Dutta & Elena Lucchi, 2025. "Performance Analysis and Numerical Modeling of Mechanical and Electrical Components in a Rooftop Vertical-Axis Wind Turbine," Energies, MDPI, vol. 18(7), pages 1-29, March.
    3. Ruifeng Shi & Li Ji & Han Liu & Zhe Zhang, 2025. "Sustainable Transition in Transport Energy Consumption: The Charging/Discharging Infrastructure and Self-Containing Transport Energy System of New Energy Vehicles," Sustainability, MDPI, vol. 17(4), pages 1-4, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mohammed Ifkirne & Houssam El Bouhi & Siham Acharki & Quoc Bao Pham & Abdelouahed Farah & Nguyen Thi Thuy Linh, 2022. "Multi-Criteria GIS-Based Analysis for Mapping Suitable Sites for Onshore Wind Farms in Southeast France," Land, MDPI, vol. 11(10), pages 1-26, October.
    2. Maarten Wolsink, 2020. "Framing in Renewable Energy Policies: A Glossary," Energies, MDPI, vol. 13(11), pages 1-31, June.
    3. Bartłomiej Kizielewicz & Jarosław Wątróbski & Wojciech Sałabun, 2020. "Identification of Relevant Criteria Set in the MCDA Process—Wind Farm Location Case Study," Energies, MDPI, vol. 13(24), pages 1-40, December.
    4. Tao, Linwei & Hayashi, Kiichiro & Gyeltshen, Sangay & Shimoyama, Yuya, 2025. "Spatial assessment of utility-scale solar photovoltaic siting potential using machine learning approaches: A case study in Aichi prefecture, Japan," Applied Energy, Elsevier, vol. 383(C).
    5. Jahangiri, Mehdi & Rezaei, Mostafa & Mostafaeipour, Ali & Goojani, Afsaneh Raiesi & Saghaei, Hamed & Hosseini Dehshiri, Seyyed Jalaladdin & Hosseini Dehshiri, Seyyed Shahabaddin, 2022. "Prioritization of solar electricity and hydrogen co-production stations considering PV losses and different types of solar trackers: A TOPSIS approach," Renewable Energy, Elsevier, vol. 186(C), pages 889-903.
    6. Elshafei, Basem & Peña, Alfredo & Popov, Atanas & Giddings, Donald & Ren, Jie & Xu, Dong & Mao, Xuerui, 2023. "Offshore wind resource assessment based on scarce spatio-temporal measurements using matrix factorization," Renewable Energy, Elsevier, vol. 202(C), pages 1215-1225.
    7. Styliani Karamountzou & Dimitra G. Vagiona, 2023. "Suitability and Sustainability Assessment of Existing Onshore Wind Farms in Greece," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    8. Konstantinos Ioannou & Dimitrios Myronidis, 2021. "Automatic Detection of Photovoltaic Farms Using Satellite Imagery and Convolutional Neural Networks," Sustainability, MDPI, vol. 13(9), pages 1-15, May.
    9. Alaa Alden Al Mohamed & Sobhi Al Mohamed & Moustafa Zino, 2023. "Application of fuzzy multicriteria decision-making model in selecting pandemic hospital site," Future Business Journal, Springer, vol. 9(1), pages 1-22, December.
    10. Liang Cui & Ye Xu & Ling Xu & Guohe Huang, 2021. "Wind Farm Location Special Optimization Based on Grid GIS and Choquet Fuzzy Integral Method in Dalian City, China," Energies, MDPI, vol. 14(9), pages 1-13, April.
    11. Gao, Jing & Wang, Chao & Wang, Zhanwu & Lin, Jin & Zhang, Runkai & Wu, Xin & Xu, Guangyin & Wang, Zhenfeng, 2024. "Site selection decision for biomass cogeneration projects from a sustainable perspective: A case study of China," Energy, Elsevier, vol. 286(C).
    12. Artur Amsharuk & Grażyna Łaska, 2024. "Site Selection of Wind Farms in Poland: Combining Theory with Reality," Energies, MDPI, vol. 17(11), pages 1-22, May.
    13. Mahfouz, Mohammad Youssef & Cheng, Po Wen, 2025. "Effect of mooring system stiffness on floating offshore wind turbine loads in a passively self-adjusting floating wind farm," Renewable Energy, Elsevier, vol. 238(C).
    14. Elshafei, Basem & Popov, Atanas & Giddings, Donald, 2024. "Enhanced offshore wind resource assessment using hybrid data fusion and numerical models," Energy, Elsevier, vol. 310(C).
    15. Peri, Erez & Tal, Alon, 2021. "Is setback distance the best criteria for siting wind turbines under crowded conditions? An empirical analysis," Energy Policy, Elsevier, vol. 155(C).
    16. Konstantinos Ioannou, 2023. "On the Identification of Agroforestry Application Areas Using Object-Oriented Programming," Agriculture, MDPI, vol. 13(1), pages 1-14, January.
    17. Vassiliki Vlami & Jan Danek & Stamatis Zogaris & Eirini Gallou & Ioannis P. Kokkoris & George Kehayias & Panayotis Dimopoulos, 2020. "Residents’ Views on Landscape and Ecosystem Services during a Wind Farm Proposal in an Island Protected Area," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    18. Shao, Meng & Zhao, Yuanxu & Sun, Jinwei & Han, Zhixin & Shao, Zhuxiao, 2023. "A decision framework for tidal current power plant site selection based on GIS-MCDM: A case study in China," Energy, Elsevier, vol. 262(PB).
    19. Ateekh Ur Rehman & Mustufa Haider Abidi & Usama Umer & Yusuf Siraj Usmani, 2019. "Multi-Criteria Decision-Making Approach for Selecting Wind Energy Power Plant Locations," Sustainability, MDPI, vol. 11(21), pages 1-20, November.
    20. Konstantinos Ioannou, 2019. "Education, Communication and Decision-Making on Renewable and Sustainable Energy," Sustainability, MDPI, vol. 11(19), pages 1-4, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:3:p:1074-:d:1326997. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.