Layout Optimisation of Wave Energy Converter Arrays
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ID: 111930
2017
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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.
| Reference Key |
ruiz2017energieslayout
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| Authors | Pau Mercadé Ruiz;Vincenzo Nava;Mathew B. R. Topper;Pablo Ruiz Minguela;Francesco Ferri;Jens Peter Kofoed;Ruiz, Pau Mercadé;Nava, Vincenzo;Topper, Mathew B. R.;Minguela, Pablo Ruiz;Ferri, Francesco;Kofoed, Jens Peter; |
| Journal | energies |
| Year | 2017 |
| DOI |
10.3390/en10091262
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| URL | |
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