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Wave energy converter array layout optimization: A critical and comprehensive overview

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  • Yang, Bo
  • Wu, Shaocong
  • Zhang, Hao
  • Liu, Bingqiang
  • Shu, Hongchun
  • Shan, Jieshan
  • Ren, Yaxing
  • Yao, Wei

Abstract

The production efficiency and optimal control of wave energy converter (WEC) array are mainly based on array layout, thus it is crucial to establish a reliable mathematical model for the WEC array layout optimization. So far, a lot of research has been done on the modeling and methods of WEC array layout optimization. However, the existing reviews are either incomplete in the classification of modeling methods, or incomplete in a collection of optimization methods, especially lacking detailed evaluation. This paper aims to comprehensively summarize various WEC models and related approaches for WEC array layout optimization. Note that over 80 related pieces of literature have been carefully analyzed and summarized, and they are divided into three categories: meta-heuristic-based, machine learning-based, and mathematics-based methods. In particular, the advantages/disadvantages, variables, evaluation indices, parameters, complexity, and objective functions are thoroughly discussed. Finally, potential research directions and recommendations are proposed in future in-depth research for both researchers and engineers.

Suggested Citation

  • Yang, Bo & Wu, Shaocong & Zhang, Hao & Liu, Bingqiang & Shu, Hongchun & Shan, Jieshan & Ren, Yaxing & Yao, Wei, 2022. "Wave energy converter array layout optimization: A critical and comprehensive overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    • Handle: RePEc:eee:rensus:v:167:y:2022:i:c:s1364032122005603
    DOI: 10.1016/j.rser.2022.112668
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    2. Zou, Shangyan & Robertson, Bryson & Roach, Aeron & Mundon, Tim & Rosenberg, Brian & Penalba, Markel, 2024. "Wave energy converter arrays: A methodology to assess performance considering the disturbed wave field," Renewable Energy, Elsevier, vol. 229(C).
    3. Jamei, Mehdi & Ali, Mumtaz & Karbasi, Masoud & Xiang, Yong & Ahmadianfar, Iman & Yaseen, Zaher Mundher, 2022. "Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach," Applied Energy, Elsevier, vol. 326(C).
    4. He, Guanghua & Luan, Zhengxiao & Zhang, Wei & He, Runhua & Liu, Chaogang & Yang, Kaibo & Yang, Changhao & Jing, Penglin & Zhang, Zhigang, 2023. "Review on research approaches for multi-point absorber wave energy converters," Renewable Energy, Elsevier, vol. 218(C).
    5. Neill, Simon P., 2024. "Wave resource characterization and co-location with offshore wind in the Irish Sea," Renewable Energy, Elsevier, vol. 222(C).
    6. Qiang Li & Qian Chen & Jiyang Wu & Youqiang Qiu & Changhong Zhang & Yilong Huang & Jianbao Guo & Bo Yang, 2023. "XGBoost-Based Intelligent Decision Making of HVDC System with Knowledge Graph," Energies, MDPI, vol. 16(5), pages 1-21, March.
    7. Shadmani, Alireza & Nikoo, Mohammad Reza & Gandomi, Amir H., 2024. "Adaptive systematic optimization of a multi-axis ocean wave energy converter," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    8. Jin, Huaqing & Zhang, Haicheng & Zheng, Siming & Xu, Daolin, 2024. "Characteristics of a two-dimensional periodic wave energy converter array," Renewable Energy, Elsevier, vol. 222(C).

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