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Layout Optimisation of Wave Energy Converter Arrays

Author

Listed:
  • Pau Mercadé Ruiz

    (Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg, Denmark)

  • Vincenzo Nava

    (Tecnalia Research and Innovation, Energy and Environmental Division, Parque Tecnologico de Bizkaia, 48160 Derio, Spain
    Basque Centre for Applied Mathematics BCAM, 48009 Bilbao, Spain)

  • Mathew B. R. Topper

    (Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3DW, Scotland, UK)

  • Pablo Ruiz Minguela

    (Tecnalia Research and Innovation, Energy and Environmental Division, Parque Tecnologico de Bizkaia, 48160 Derio, Spain)

  • Francesco Ferri

    (Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg, Denmark)

  • Jens Peter Kofoed

    (Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg, Denmark)

Abstract

This paper proposes an optimisation strategy for the layout design of wave energy converter (WEC) arrays. Optimal layouts are sought so as to maximise the absorbed power given a minimum q -factor, the minimum distance between WECs, and an area of deployment. To guarantee an efficient optimisation, a four-parameter layout description is proposed. Three different optimisation algorithms are further compared in terms of performance and computational cost. These are the covariance matrix adaptation evolution strategy (CMA), a genetic algorithm (GA) and the glowworm swarm optimisation (GSO) algorithm. The results show slightly higher performances for the latter two algorithms; however, the first turns out to be significantly less computationally demanding.

Suggested Citation

  • Pau Mercadé Ruiz & Vincenzo Nava & Mathew B. R. Topper & Pablo Ruiz Minguela & Francesco Ferri & Jens Peter Kofoed, 2017. "Layout Optimisation of Wave Energy Converter Arrays," Energies, MDPI, vol. 10(9), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1262-:d:109622
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    References listed on IDEAS

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    Cited by:

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    2. Philip Balitsky & Gael Verao Fernandez & Vasiliki Stratigaki & Peter Troch, 2018. "Assessment of the Power Output of a Two-Array Clustered WEC Farm Using a BEM Solver Coupling and a Wave-Propagation Model," Energies, MDPI, vol. 11(11), pages 1-23, October.
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    4. 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).
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    8. Hong-Wei Fang & Yu-Zhu Feng & Guo-Ping Li, 2018. "Optimization of Wave Energy Converter Arrays by an Improved Differential Evolution Algorithm," Energies, MDPI, vol. 11(12), pages 1-19, December.
    9. Xiaohui Zeng & Qi Wang & Yuanshun Kang & Fajun Yu, 2022. "A Novel Type of Wave Energy Converter with Five Degrees of Freedom and Preliminary Investigations on Power-Generating Capacity," Energies, MDPI, vol. 15(9), pages 1-20, April.
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    11. Neshat, Mehdi & Mirjalili, Seyedali & Sergiienko, Nataliia Y. & Esmaeilzadeh, Soheil & Amini, Erfan & Heydari, Azim & Garcia, Davide Astiaso, 2022. "Layout optimisation of offshore wave energy converters using a novel multi-swarm cooperative algorithm with backtracking strategy: A case study from coasts of Australia," Energy, Elsevier, vol. 239(PE).
    12. Topper, Mathew B.R. & Nava, Vincenzo & Collin, Adam J. & Bould, David & Ferri, Francesco & Olson, Sterling S. & Dallman, Ann R. & Roberts, Jesse D. & Ruiz-Minguela, Pablo & Jeffrey, Henry F., 2019. "Reducing variability in the cost of energy of ocean energy arrays," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 263-279.
    13. 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.
    14. Soutullo, S. & Giancola, E. & Heras, M.R., 2018. "Dynamic energy assessment to analyze different refurbishment strategies of existing dwellings placed in Madrid," Energy, Elsevier, vol. 152(C), pages 1011-1023.
    15. 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.
    16. Loukogeorgaki, Eva & Michailides, Constantine & Lavidas, George & Chatjigeorgiou, Ioannis K., 2021. "Layout optimization of heaving Wave Energy Converters linear arrays in front of a vertical wall," Renewable Energy, Elsevier, vol. 179(C), pages 189-203.
    17. Topper, Mathew B.R. & Olson, Sterling S. & Roberts, Jesse D., 2021. "On the benefits of negative hydrodynamic interactions in small tidal energy arrays," Applied Energy, Elsevier, vol. 297(C).
    18. 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).
    19. 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).
    20. Lee, Rachel & Homan, Samuel & Mac Dowell, Niall & Brown, Solomon, 2019. "A closed-loop analysis of grid scale battery systems providing frequency response and reserve services in a variable inertia grid," Applied Energy, Elsevier, vol. 236(C), pages 961-972.
    21. Guo, Bingyong & Ringwood, John V., 2021. "Geometric optimisation of wave energy conversion devices: A survey," Applied Energy, Elsevier, vol. 297(C).
    22. Smith, Kate & Liu, Shuming & Liu, Ying & Guo, Shengjie, 2018. "Can China reduce energy for water? A review of energy for urban water supply and wastewater treatment and suggestions for change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 41-58.

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