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dc.contributor.author
Peña Sanchez, Yerai
dc.contributor.author
García Violini, Diego Demián
dc.contributor.author
Penalba, Markel
dc.contributor.author
Zarketa Astigarraga, Ander
dc.contributor.author
Ferri, Francesco
dc.contributor.author
Nava, Vincenzo
dc.contributor.author
Ringwood, John V.
dc.date.available
2024-05-06T11:45:05Z
dc.date.issued
2024-06
dc.identifier.citation
Peña Sanchez, Yerai; García Violini, Diego Demián; Penalba, Markel; Zarketa Astigarraga, Ander; Ferri, Francesco; et al.; Control co-design for wave energy farms: Optimisation of array layout and mooring configuration in a realistic wave climate; Pergamon-Elsevier Science Ltd; Renewable Energy; 227; 6-2024; 1-11
dc.identifier.issn
0960-1481
dc.identifier.uri
http://hdl.handle.net/11336/234523
dc.description.abstract
This paper presents a novel Control Co-Design (CCD) methodology aimed at economically optimising the layout of wave energy converter (WEC) arrays. CCD ensures the synergy of optimised WEC and array parameters with the final control strategy, resulting in a comprehensive and efficient design of the array. By integrating a spectral-based control strategy into the array layout design, this study pursues the twin objectives of maximising energy absorption while reducing costs. To prove the performance of the proposed CCD methodology, an application case is proposed where the inter-device distance, alignment, and mooring configuration of a five-device array, considering realistic wave scenarios, are optimised. Energy capture and system cost evaluations are conducted, with results emphasising the significance of incorporating advanced control strategies in the design phase to improve energy absorption and reduce costs. With the application case, the study demonstrates that the optimal layout of a WEC array considering economic factors may differ from the optimal from purely technical factors, such as energy absorption, in the analysed case.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Pergamon-Elsevier Science Ltd
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
WAVE ENERGY
dc.subject
WAVE FARMS
dc.subject
CONTROL CO-DESIGN
dc.subject
MOORING LINES
dc.subject.classification
Control Automático y Robótica
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Control co-design for wave energy farms: Optimisation of array layout and mooring configuration in a realistic wave climate
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-05-06T10:55:56Z
dc.identifier.eissn
1879-0682
dc.journal.volume
227
dc.journal.pagination
1-11
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Peña Sanchez, Yerai. Maynooth University,; Irlanda
dc.description.fil
Fil: García Violini, Diego Demián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Maynooth University; Irlanda
dc.description.fil
Fil: Penalba, Markel. Maynooth University,; Irlanda
dc.description.fil
Fil: Zarketa Astigarraga, Ander. Maynooth University,; Irlanda
dc.description.fil
Fil: Ferri, Francesco. Aalborg University; Dinamarca
dc.description.fil
Fil: Nava, Vincenzo. No especifíca;
dc.description.fil
Fil: Ringwood, John V.. Maynooth University,; Irlanda
dc.journal.title
Renewable Energy
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0960148124005718
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.renene.2024.120506
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