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Wave energy resource classification system for the China East Adjacent Seas based on multivariate clustering

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  • Shi, Xueli
  • Liang, Bingchen
  • Li, Shaowu
  • Zhao, Jianchun
  • Wang, Junhui
  • Wang, Zhenlu

Abstract

This study based on the 25-year wave hindcast database of the western Pacific and used three unsupervised learning clustering algorithms to classify the wave energy resources in the China East Adjacent Seas. Five wave energy characteristic parameters are comprehensively considered in the calculation process of the clustering algorithm. According to the analysis of the classification results, it can be seen that the Class Ⅳ is the most suitable for wave energy development in the China East Adjacent Seas, followed by the Class Ⅲ and Class Ⅴ. The Class Ⅵ is too far away from the coast to be used as the intended area for wave energy development. The Class Ⅰ is mostly located in inland seas and harbors, which are not suitable for wave energy development. By analyzing the annual average captured power, it can be seen that the optimal capture interval of the existing wave energy converters with mature technology is too large compared with the wave conditions in the China East Adjacent Seas. We should vigorously develop wave energy converters that are more suitable for the wave conditions of Class Ⅲ, Class Ⅳ and Class Ⅴ, and improve the capture efficiency of the wave energy converters.

Suggested Citation

  • Shi, Xueli & Liang, Bingchen & Li, Shaowu & Zhao, Jianchun & Wang, Junhui & Wang, Zhenlu, 2024. "Wave energy resource classification system for the China East Adjacent Seas based on multivariate clustering," Energy, Elsevier, vol. 299(C).
    • Handle: RePEc:eee:energy:v:299:y:2024:i:c:s0360544224012271
    DOI: 10.1016/j.energy.2024.131454
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    References listed on IDEAS

    as
    1. Bento, A. Rute & Martinho, Paulo & Guedes Soares, C., 2018. "Wave energy assessement for Northern Spain from a 33-year hindcast," Renewable Energy, Elsevier, vol. 127(C), pages 322-333.
    2. Lucero, Felipe & Catalán, Patricio A. & Ossandón, Álvaro & Beyá, José & Puelma, Andrés & Zamorano, Luis, 2017. "Wave energy assessment in the central-south coast of Chile," Renewable Energy, Elsevier, vol. 114(PA), pages 120-131.
    3. Kamranzad, Bahareh & Etemad-Shahidi, Amir & Chegini, Vahid, 2017. "Developing an optimum hotspot identifier for wave energy extracting in the northern Persian Gulf," Renewable Energy, Elsevier, vol. 114(PA), pages 59-71.
    4. Hussain, Akhtar & Arif, Syed Muhammad & Aslam, Muhammad, 2017. "Emerging renewable and sustainable energy technologies: State of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 12-28.
    5. Martinez, A. & Iglesias, G., 2020. "Wave exploitability index and wave resource classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    6. Kim, Jung Eun & Tang, Tian, 2020. "Preventing early lock-in with technology-specific policy designs: The Renewable Portfolio Standards and diversity in renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    7. Astariz, S. & Iglesias, G., 2015. "The economics of wave energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 397-408.
    8. Ahn, Seongho & Haas, Kevin A. & Neary, Vincent S., 2019. "Wave energy resource classification system for US coastal waters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 54-68.
    9. Shi, Xueli & Liang, Bingchen & Du, Shengtao & Shao, Zhuxiao & Li, Shaowu, 2022. "Wave energy assessment in the China East Adjacent Seas based on a 25-year wave-current interaction numerical simulation," Renewable Energy, Elsevier, vol. 199(C), pages 1381-1407.
    10. Lavidas, George & Venugopal, Vengatesan, 2017. "A 35 year high-resolution wave atlas for nearshore energy production and economics at the Aegean Sea," Renewable Energy, Elsevier, vol. 103(C), pages 401-417.
    11. Reguero, B.G. & Losada, I.J. & Méndez, F.J., 2015. "A global wave power resource and its seasonal, interannual and long-term variability," Applied Energy, Elsevier, vol. 148(C), pages 366-380.
    12. Dina Silva & Eugen Rusu & Carlos Guedes Soares, 2013. "Evaluation of Various Technologies for Wave Energy Conversion in the Portuguese Nearshore," Energies, MDPI, vol. 6(3), pages 1-21, March.
    13. Ahn, Seongho & Neary, Vincent S. & Haas, Kevin A., 2022. "Global wave energy resource classification system for regional energy planning and project development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    14. Robinius, Martin & Raje, Tanmay & Nykamp, Stefan & Rott, Tobias & Müller, Martin & Grube, Thomas & Katzenbach, Burkhard & Küppers, Stefan & Stolten, Detlef, 2018. "Power-to-Gas: Electrolyzers as an alternative to network expansion – An example from a distribution system operator," Applied Energy, Elsevier, vol. 210(C), pages 182-197.
    15. P Patel, Ravi & Nagababu, Garlapati & Kachhwaha, Surendra Singh & V V Arun Kumar, Surisetty & M, Seemanth, 2022. "Combined wind and wave resource assessment and energy extraction along the Indian coast," Renewable Energy, Elsevier, vol. 195(C), pages 931-945.
    16. Kofoed, Jens Peter & Frigaard, Peter & Friis-Madsen, Erik & Sørensen, Hans Chr., 2006. "Prototype testing of the wave energy converter wave dragon," Renewable Energy, Elsevier, vol. 31(2), pages 181-189.
    17. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2018. "A 33-year hindcast on wave energy assessment in the western French coast," Energy, Elsevier, vol. 165(PB), pages 790-801.
    18. Zheng, Chong-wei, 2021. "Dynamic self-adjusting classification for global wave energy resources under different requirements," Energy, Elsevier, vol. 236(C).
    19. Henderson, Ross, 2006. "Design, simulation, and testing of a novel hydraulic power take-off system for the Pelamis wave energy converter," Renewable Energy, Elsevier, vol. 31(2), pages 271-283.
    20. Chongwei Zheng, 2023. "An Overview and Countermeasure of Global Wave Energy Classification," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    21. García-Medina, Gabriel & Yang, Zhaoqing & Wu, Wei-Cheng & Wang, Taiping, 2021. "Wave resource characterization at regional and nearshore scales for the U.S. Alaska coast based on a 32-year high-resolution hindcast," Renewable Energy, Elsevier, vol. 170(C), pages 595-612.
    22. Zheng, Chong Wei & Li, Chong Yin, 2015. "Variation of the wave energy and significant wave height in the China Sea and adjacent waters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 381-387.
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