Layout Optimisation of Wave Energy Converter Arrays

Pau Mercadé Ruiz, Vincenzo Nava, Mathew B. R. Topper, Pablo Ruiz Minguela, Francesco Ferri, Jens Peter Kofoed

Research output: Contribution to journalJournal articleResearchpeer-review

15 Citations (Scopus)


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.
Original languageEnglish
Article number1262
Issue number9
Number of pages17
Publication statusPublished - 2017

Bibliographical note

Special Issue Marine Energy


  • Wave energy arrays
  • Array layouts
  • Optimisation
  • Evolution strategy
  • Swarm intelligence

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