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Energies 2017, 10(9), 1262; doi:10.3390/en10091262

Layout Optimisation of Wave Energy Converter Arrays

1
Department of Civil Engineering, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg, Denmark
2
Tecnalia Research and Innovation, Energy and Environmental Division, Parque Tecnologico de Bizkaia, 48160 Derio, Spain
3
Basque Centre for Applied Mathematics BCAM, 48009 Bilbao, Spain
4
Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3DW, Scotland, UK
*
Author to whom correspondence should be addressed.
Received: 19 July 2017 / Revised: 3 August 2017 / Accepted: 22 August 2017 / Published: 24 August 2017
(This article belongs to the Special Issue Marine Energy)
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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. View Full-Text
Keywords: wave energy arrays; array layout; optimisation; evolution strategy; swarm intelligence wave energy arrays; array layout; optimisation; evolution strategy; swarm intelligence
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Ruiz, P.M.; Nava, V.; Topper, M.B.R.; Minguela, P.R.; Ferri, F.; Kofoed, J.P. Layout Optimisation of Wave Energy Converter Arrays. Energies 2017, 10, 1262.

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