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An optimization approach for geometry design of multi-axis wave energy converter

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  • Shadmani, Alireza
  • Nikoo, Mohammad Reza
  • Gandomi, Amir H.
  • Chen, Mingjie

Abstract

The current global energy crisis necessitates a shift to renewable energy sources to mitigate climate change impacts. Wave energy emerges as a promising renewable resource to fulfill increasing energy demands. This energy can be extracted using wave energy converters (WECs), with multi-axis WECs (MA-WECs) being more effective than single-axis versions due to their capacity to harness energy from waves in various directions. The challenge lies in determining the ideal geometric design for MA-WECs, that can be tackled through multi-objective optimization (MOO) techniques. This research focuses on evaluating different MOO algorithms for the optimal geometric design of MA-WECs. To assess the structural response of different geometries and sizes, the study utilized the NEMOH boundary element method solver, aiming to maximize power output, lower the levelized cost of energy (LCOE), and optimize the geometry configuration. Findings indicate that the choice of optimization algorithm considerably influences the MA-WEC's optimal design, enhancing power efficiency, reducing device volume, and cutting costs more effectively than the initial design.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:301:y:2024:i:c:s0360544224014877
    DOI: 10.1016/j.energy.2024.131714
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    References listed on IDEAS

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    1. Venugopal, Vengatesan & Nemalidinne, Reddy, 2015. "Wave resource assessment for Scottish waters using a large scale North Atlantic spectral wave model," Renewable Energy, Elsevier, vol. 76(C), pages 503-525.
    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. 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.
    4. Goggins, Jamie & Finnegan, William, 2014. "Shape optimisation of floating wave energy converters for a specified wave energy spectrum," Renewable Energy, Elsevier, vol. 71(C), pages 208-220.
    5. Alireza Shadmani & Mohammad Reza Nikoo & Riyadh I. Al-Raoush & Nasrin Alamdari & Amir H. Gandomi, 2022. "The Optimal Configuration of Wave Energy Conversions Respective to the Nearshore Wave Energy Potential," Energies, MDPI, vol. 15(20), pages 1-29, October.
    6. 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).
    7. McCabe, A.P. & Aggidis, G.A. & Widden, M.B., 2010. "Optimizing the shape of a surge-and-pitch wave energy collector using a genetic algorithm," Renewable Energy, Elsevier, vol. 35(12), pages 2767-2775.
    8. Garcia-Teruel, Anna & DuPont, Bryony & Forehand, David I.M., 2020. "Hull geometry optimisation of wave energy converters: On the choice of the optimisation algorithm and the geometry definition," Applied Energy, Elsevier, vol. 280(C).
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