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A review of geometry optimisation of wave energy converters

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  • Garcia-Teruel, A.
  • Forehand, D.I.M.

Abstract

Reducing the cost of energy of wave energy converters is key for the advancement of the technology. The costs associated with the device structure show the highest potential to achieve this reduction. For this reason, many hull geometry optimisation studies have been performed over the last 20 years, with the aim of finding improved hull shapes, that maximise the power generation and minimise the costs. These studies have been performed for different types of devices, applying a number of optimisation algorithms and representing power generation and costs with various strategies. The definition of the optimisation problem and the use of the most suitable strategies is key for a successful optimisation process, which will provide meaningful results and support device design at early development stages. This paper reviews all these different approaches, with a view to distilling the main findings and best practices; it then formulates recommendations based on these. The work is intended to serve as reference for any technology developer wishing to perform wave energy converter optimisation and for any funding body wanting to assess different device designs.

Suggested Citation

  • Garcia-Teruel, A. & Forehand, D.I.M., 2021. "A review of geometry optimisation of wave energy converters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    • Handle: RePEc:eee:rensus:v:139:y:2021:i:c:s1364032120308777
    DOI: 10.1016/j.rser.2020.110593
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    References listed on IDEAS

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    Cited by:

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    7. Edwige Raissa Mache Kengne & Alain Soup Tewa Kammogne & Martin Siewe Siewe & Thomas Tatietse Tamo & Ahmad Taher Azar & Ahmed Redha Mahlous & Mohamed Tounsi & Zafar Iqbal Khan, 2023. "Bifurcation Analysis of a Photovoltaic Power Source Interfacing a Current-Mode-Controlled Boost Converter with Limited Current Sensor Bandwidth for Maximum Power Point Tracking," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
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    10. Faraggiana, E. & Chapman, J.C. & Williams, A.J. & Whitlam, C. & Masters, I., 2022. "Investigation of new layout design concepts of an array-on-device WaveSub device," Renewable Energy, Elsevier, vol. 190(C), pages 501-523.
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    14. Tiesheng Liu & Yanjun Liu & Shuting Huang & Gang Xue, 2022. "Shape Optimization of Oscillating Buoy Wave Energy Converter Based on the Mean Annual Power Prediction Model," Energies, MDPI, vol. 15(20), pages 1-19, October.
    15. Fabian G. Pierart & Matias Rubilar & Jaime Rohten, 2023. "Experimental Validation of Damping Adjustment Method with Generator Parameter Study for Wave Energy Conversion," Energies, MDPI, vol. 16(14), pages 1-14, July.
    16. Shadmani, Alireza & Nikoo, Mohammad Reza & Gandomi, Amir H. & Chen, Mingjie & Nazari, Rouzbeh, 2024. "Advancements in optimizing wave energy converter geometry utilizing metaheuristic algorithms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    17. In-Ho Kim & Byeong-Ryong Kim & Seon-Jun Jang, 2023. "Performance Validation of Resonant Wave Power Converter with Variable Moment of Inertia," Energies, MDPI, vol. 16(18), pages 1-13, September.
    18. Erfan Amini & Rojin Asadi & Danial Golbaz & Mahdieh Nasiri & Seyed Taghi Omid Naeeni & Meysam Majidi Nezhad & Giuseppe Piras & Mehdi Neshat, 2021. "Comparative Study of Oscillating Surge Wave Energy Converter Performance: A Case Study for Southern Coasts of the Caspian Sea," Sustainability, MDPI, vol. 13(19), pages 1-21, October.
    19. Garcia-Teruel, Anna & Roberts, Owain & Noble, Donald R. & Henderson, Jillian Catherine & Jeffrey, Henry, 2022. "Design limits for wave energy converters based on the relationship of power and volume obtained through multi-objective optimisation," Renewable Energy, Elsevier, vol. 200(C), pages 492-504.
    20. Shadmani, Alireza & Nikoo, Mohammad Reza & Gandomi, Amir H. & Chen, Mingjie, 2024. "An optimization approach for geometry design of multi-axis wave energy converter," Energy, Elsevier, vol. 301(C).

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