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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

    as
    1. Falcão, António F.O. & Henriques, João C.C., 2016. "Oscillating-water-column wave energy converters and air turbines: A review," Renewable Energy, Elsevier, vol. 85(C), pages 1391-1424.
    2. Clément, Alain & McCullen, Pat & Falcão, António & Fiorentino, Antonio & Gardner, Fred & Hammarlund, Karin & Lemonis, George & Lewis, Tony & Nielsen, Kim & Petroncini, Simona & Pontes, M. -Teresa & Sc, 2002. "Wave energy in Europe: current status and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(5), pages 405-431, October.
    3. Claudio Iuppa & Pasquale Contestabile & Luca Cavallaro & Enrico Foti & Diego Vicinanza, 2016. "Hydraulic Performance of an Innovative Breakwater for Overtopping Wave Energy Conversion," Sustainability, MDPI, vol. 8(12), pages 1-20, November.
    4. Pau Mercadé Ruiz & Francesco Ferri & Jens Peter Kofoed, 2017. "Experimental Validation of a Wave Energy Converter Array Hydrodynamics Tool," Sustainability, MDPI, vol. 9(1), pages 1-20, January.
    5. Moarefdoost, M. Mohsen & Snyder, Lawrence V. & Alnajjab, Basel, 2017. "Layouts for ocean wave energy farms: Models, properties, and optimization," Omega, Elsevier, vol. 66(PB), pages 185-194.
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