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Geometry Optimisation of a Wave Energy Converter

Author

Listed:
  • Susana Costa

    (Mechanical Engineering Department, University of Aveiro, 3810-193 Aveiro, Portugal)

  • Jorge Ferreira

    (Mechanical Engineering Department, University of Aveiro, 3810-193 Aveiro, Portugal
    TEMA—Centre for Mechanical Technology and Automation, University of Aveiro, 3810-193 Aveiro, Portugal
    LASI—Intelligent Systems Associate Laboratory, 4800-058 Guimarães, Portugal)

  • Nelson Martins

    (Mechanical Engineering Department, University of Aveiro, 3810-193 Aveiro, Portugal
    TEMA—Centre for Mechanical Technology and Automation, University of Aveiro, 3810-193 Aveiro, Portugal
    LASI—Intelligent Systems Associate Laboratory, 4800-058 Guimarães, Portugal)

Abstract

The geometry optimisation of a point-absorber wave energy converter, focusing on the increase in energy absorption derived from heave forces, was performed. The proposed procedure starts by developing an initial geometry, which is later evaluated in terms of hydrodynamics and optimised through an optimisation algorithm to tune the shape parameters that influence energy absorption, intending to obtain the optimal geometry. A deployment site on the Portuguese coast was defined to obtain information on the predominant waves to assess several sea states. NEMOH and WEC-Sim (both open-source software packages) were used to evaluate the interaction between the structure and the imposed wave conditions. The results extracted and analysed from this software included forces in the six degrees of freedom. Under extreme wave conditions, the highest increase in the relative capture width between the initial and final shapes was around 0.2, corresponding to an increase from 0.36 to 0.54, while under average wave conditions, the increase only reached a value of around 0.02, corresponding to an increase from 0.22 to 0.24, as calculated through the relative capture width values.

Suggested Citation

  • Susana Costa & Jorge Ferreira & Nelson Martins, 2025. "Geometry Optimisation of a Wave Energy Converter," Energies, MDPI, vol. 18(1), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:1:p:207-:d:1560951
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    References listed on IDEAS

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    1. Jonas Bjerg Thomsen & Francesco Ferri & Jens Peter Kofoed & Kevin Black, 2018. "Cost Optimization of Mooring Solutions for Large Floating Wave Energy Converters," Energies, MDPI, vol. 11(1), pages 1-23, January.
    2. McCabe, A.P., 2013. "Constrained optimization of the shape of a wave energy collector by genetic algorithm," Renewable Energy, Elsevier, vol. 51(C), pages 274-284.
    3. Shadman, Milad & Estefen, Segen F. & Rodriguez, Claudio A. & Nogueira, Izabel C.M., 2018. "A geometrical optimization method applied to a heaving point absorber wave energy converter," Renewable Energy, Elsevier, vol. 115(C), pages 533-546.
    4. Guillou, Nicolas, 2020. "Estimating wave energy flux from significant wave height and peak period," Renewable Energy, Elsevier, vol. 155(C), pages 1383-1393.
    5. 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).
    Full references (including those not matched with items on IDEAS)

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