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Multi-objective optimisation of a sloped-motion, multibody wave energy converter concept

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  • Cotten, A.
  • Forehand, D.I.M.

Abstract

The WaveTrain device is a wave energy converter concept designed to extend the high performance of buoys that undergo sloped motion into a deep water environment. It achieves this by mechanically interconnecting a series of sloped modules, amongst which restorative forces can be exchanged in order to prevent detrimental pitching motion, whilst sufficiently free motion along the inclined axis is retained. Importantly, this circumvents the requirement of a rigid seabed connection, but introduces a potential vulnerability of operational failure of the rotational joints that link each connecting strut to the adjacent module. In this paper, the impact of considering the fatigue damage accumulating at the joints, in addition to the power extraction, is investigated with regards to the optimal design of the WaveTrain device. A specially-tailored multi-objective genetic algorithm is used to explore the optimal design candidates with two variants of the pair of conflicting objectives (power extraction and fatigue damage). Some key design criteria are then presented, with reference and comparison to the design criteria that are considered optimal when only power extraction is considered.

Suggested Citation

  • Cotten, A. & Forehand, D.I.M., 2022. "Multi-objective optimisation of a sloped-motion, multibody wave energy converter concept," Renewable Energy, Elsevier, vol. 194(C), pages 307-320.
    • Handle: RePEc:eee:renene:v:194:y:2022:i:c:p:307-320
    DOI: 10.1016/j.renene.2022.05.030
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    References listed on IDEAS

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    1. 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).
    2. Cotten, A. & Forehand, D.I.M., 2020. "Optimisation of a novel, sloped module, multibody wave energy converter, using an efficient modelling technique," Renewable Energy, Elsevier, vol. 162(C), pages 727-742.
    3. 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).
    4. Marcos Blanco & Pablo Moreno-Torres & Marcos Lafoz & Dionisio Ramírez, 2015. "Design Parameters Analysis of Point Absorber WEC via an evolutionary-algorithm-based Dimensioning Tool," Energies, MDPI, vol. 8(10), pages 1-31, October.
    5. 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.
    6. Guo, Bingyong & Ringwood, John V., 2021. "Geometric optimisation of wave energy conversion devices: A survey," Applied Energy, Elsevier, vol. 297(C).
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    1. 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).

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