Wave basin investigation of floating wind turbine model using underwater particle image velocimetry: investigating hydrodynamic wake structures

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dc.check.date2025-10-15en
dc.check.infoAccess to this article is restricted until 12 months after publication by request of the publisheren
dc.contributor.authorBelvasi, Naviden
dc.contributor.authorDesmond, Cianen
dc.contributor.authorMurphy, Jimmyen
dc.contributor.funderHorizon 2020en
dc.date.accessioned2025-04-08T09:23:39Z
dc.date.available2025-04-08T09:23:39Z
dc.date.issued2024-10-15en
dc.description.abstractThis paper conducts a fundamental study on the hydrodynamic performance of a floating offshore wind turbine (FOWT). This includes investigating the impacts of platform motion, turbine operation, and environmental conditions on hydrodynamic wake development behind the FOWT. Using underwater particle image velocimetry in a wave basin, the fluid flow behaviour behind the floating wind substructure model is compared for different test configurations. The FOWT is examined in three configurations: I. Zero degrees of freedom (fixed), II. Six degrees of freedom (floating), and III. Floating with turbine in operation (full system). The results reveal significant hydrodynamic wake turbulence differences between fixed and floating systems, with 95% and 89% increases in turbulent kinetic energy (TKE) and turbulence intensity (TI), respectively. Turbine loading in configuration III results in additional damping and reduces eddy shedding, resulting in a 26% and 31% decrease in TKE and TI, compared to the floating configuration II. It is found that neglecting turbine operation overestimates substructure drag terms by at least 30%, while fixing the model underestimates drag terms by 54%. This study highlights a trade-off between model accuracy and dynamic complexity when estimating viscous effects on FOWT. It also provides a valuable set of high-fidelity validation data for the development of numerical tools for FOWT analysis.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationBelvasi, N., Desmond, C. and Murphy, J. (2024) 'Wave basin investigation of floating wind turbine model using underwater particle image velocimetry: investigating hydrodynamic wake structures', Journal of Marine Engineering and Technology. https://doi.org/10.1080/20464177.2024.2412474en
dc.identifier.doi10.1080/20464177.2024.2412474en
dc.identifier.eissn2056-8487en
dc.identifier.endpage12en
dc.identifier.issn2046-4177en
dc.identifier.journaltitleJournal of Marine Engineering and Technology.en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/17246
dc.language.isoenen
dc.publisherTaylor & Francisen
dc.relation.ispartofJournal of Marine Engineering & Technologyen
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::MSCA-ITN-ETN/860879/EU/FLOAting Wind Energy netwoRk/FLOAWERen
dc.rights© 2024, Taylor & Francis. All rights reserved. This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Marine Engineering & Technology on 15 October 2024, available online: https://doi.org/10.1080/20464177.2024.2412474en
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en
dc.subjectFloating offshore winden
dc.subjectParticle image velocimetryen
dc.subjectWave basin testen
dc.subjectValidation dataen
dc.subjectViscous drag coefficienten
dc.titleWave basin investigation of floating wind turbine model using underwater particle image velocimetry: investigating hydrodynamic wake structuresen
dc.typeArticle (peer-reviewed)en
dc.typejournal-articleen
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