RT Journal Article
T1 Layout optimisation of wave energy converter arrays
A1 Mercadé Ruiz, Pau
A1 Nava, Vincenzo
A1 Topper, Mathew B.R.
A1 Minguela, Pablo Ruiz
A1 Ferri, Francesco
A1 Kofoed, Jens Peter
AB 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.
SN 1996-1073
YR 2017
FD 2017
LK https://hdl.handle.net/11556/3282
UL https://hdl.handle.net/11556/3282
LA eng
NO Mercadé Ruiz , P , Nava , V , Topper , M B R , Minguela , P R , Ferri , F & Kofoed , J P 2017 , ' Layout optimisation of wave energy converter arrays ' , Energies , vol. 10 , no. 9 , 1262 . https://doi.org/10.3390/en10091262
NO Publisher Copyright: © 2017 by the authors. Licensee MDPI, Basel, Switzerland.
NO Acknowledgments: The authors wish to thank the financial support from the European Commission (Grant No. 60859; DTOcean-Optimal Design Tools for Ocean Energy Arrays), which made this work possible. The work of Vincenzo Nava was supported by the Basque Government through the BERC 2014–2017 program and by the Spanish Ministry of Economy and Competitiveness MINECO: BCAM Severo Ochoa accreditation SEV-2013-0323.
DS TECNALIA Publications
RD 28 jul 2024