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dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.contributor.authorPeña-Sanchez, Yerai
dc.contributor.otherPasta, Edoardo
dc.contributor.otherPapini, Guglielmo
dc.contributor.otherMosquera, Facundo D.
dc.contributor.otherFerri, Francesco
dc.contributor.otherFaedo, Nicolás
dc.date.accessioned2024-11-21T15:06:39Z
dc.date.available2024-11-21T15:06:39Z
dc.date.issued2024
dc.identifier.issn1873-6939en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=176532en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6811
dc.description.abstractOne of the key steps towards economic feasibility of wave energy conversion technology concerns scaling up to farms of multiple devices, in the attempt to reduce installation costs by sharing infrastructure, and a consequent drop in levelised cost of energy. Moreover, whenever wave energy systems are deployed in proximity (in so-called arrays), the exploitation of the hydrodynamic interactions between single devices is fully enabled, potentially increasing the final energy outcome. To achieve this in real (operational) time, the employed energy-maximising control strategies require control-oriented array models, able to efficiently describe the dynamics of these interconnected systems in a representative fashion. This can be, nonetheless, a difficult task when considering first principles alone, under small motion assumptions, for modelling purposes. Recognising the uncertainty associated to array numerical models obtained from the linearisation of simplified system equations around their equilibria, this paper presents models of several array configurations identified following a frequency domain approach on the basis of experimental data. Tailored tests on laboratory-scale devices have been designed and conducted in the Aalborg University (Denmark) wave tank facility, with the purpose of performing representative system identification of the wave energy systems arrays. The obtained models are validated on different representative sea states configurations, in controlled and uncontrolled motion operational conditions. The validation results are fully discussed and analysed in terms of standard error measures and time lag, while the obtained models are made freely accessible via a linked repository (named OCEAN), in the attempt to openly provide validated models for different array configurations.en
dc.language.isoengen
dc.publisherElsevieren
dc.rights© 2024 The Authorsen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectWave Energyen
dc.subjectData-based modellingen
dc.subjectControl oriented modelsen
dc.titleData-based modelling of arrays of wave energy systems: Experimental tests, models, and validationen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceControl Engineering Practiceen
local.contributor.groupMecánica de fluidoses
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1016/j.conengprac.2024.105949en
local.contributor.otherinstitutionhttps://ror.org/04m5j1k67en
local.contributor.otherinstitutionhttps://ror.org/00bgk9508en
local.contributor.otherinstitutionhttps://ror.org/01tjs6929
local.source.detailsVol. 148, N. art. 105949. July, 2024
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en
dc.unesco.tesaurohttp://vocabularies.unesco.org/thesaurus/concept9508en
oaire.funderNameComisión Europeaen
oaire.funderNameComisión Europeaen
oaire.funderIdentifierhttps://ror.org/00k4n6c32 / http://data.crossref.org/fundingdata/funder/10.13039/501100000780en
oaire.funderIdentifierhttps://ror.org/00k4n6c32 / http://data.crossref.org/fundingdata/funder/10.13039/501100000780en
oaire.fundingStreamHorizon 2020en
oaire.fundingStreamHorizon 2020en
oaire.awardNumber101024372en
oaire.awardNumber101034297en
oaire.awardTitleMoment-based nonlinear energy-maximising optimal control of wave energy systems to secure a renewable future (DESTINY)en
oaire.awardTitleInnovative researchers training on clean and sustainable energy (E4F)en
oaire.awardURIhttps://doi.org/10.3030/101024372en
oaire.awardURIhttps://doi.org/10.3030/101034297en
dc.unesco.clasificacionhttp://skos.um.es/unesco6/531205en


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Attribution-NonCommercial-NoDerivatives 4.0 International
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