Show simple item record

dc.contributor.authorGlasspool, J
dc.contributor.authorDuarte, T
dc.contributor.authorRace, J
dc.contributor.authorVenugopal, V
dc.contributor.authorPillai, AC
dc.date.accessioned2025-04-07T09:21:04Z
dc.date.issued2025
dc.date.updated2025-04-07T05:58:31Z
dc.description.abstractFloating Offshore Wind Turbines (FOWTs) are nearing commercial deployment, expanding offshore wind development opportunities to deeper waters beyond the reach of bottom-fixed turbines. Reducing the capital and operational costs of FOWTs is essential, with mooring systems identified as a key area for cost savings. High-fidelity, coupled, time-domain simulations ensure a mooring design’s suitability for a particular site, considering the full range of environmental conditions, but this process can be computationally demanding. During early design and optimization, lower-fidelity simulations enable exploration of a wider envelope of configurations at the cost of reduced model accuracy. This paper quantifies the trade-off between computational efficiency and model-to-model accuracy when reducing simulation fidelity. Using the IEC 15 MW turbine atop the UMaine VolturnUS-S platform with semi-taut and catenary mooring configurations, the study examines methods of reducing model fidelity with time and frequency domain approaches. Findings show strategic fidelity reduction, such as replacing the turbine with a lumped mass and applying a constant force, reduces computation by up to 96 %, while maintaining errors within 10 % for key performance parameters and enabling relative fatigue assessment. However, omitting critical elements like the control system may increase error without saving computational time. This work informs efficient mooring optimization strategies for FOWTs.en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.description.sponsorshipArven Offshore Wind Farmen_GB
dc.description.sponsorshipRoyal Academy of Engineering (RAE)en_GB
dc.identifier.citationASME 2025 44th International Conference on Ocean, Offshore and Arctic Engineering OMAE2025, Vancouver, BC, Canada, 22 -27 June 2025. Awaiting full citation and DOIen_GB
dc.identifier.grantnumberEP/S023933/1en_GB
dc.identifier.grantnumberRF\202021\20\175en_GB
dc.identifier.urihttp://hdl.handle.net/10871/140755
dc.language.isoenen_GB
dc.publisherAmerican Society of Mechanical Engineers (ASME)en_GB
dc.rights.embargoreasonUnder temporary indefinite embargo pending publication by ASME. No embargo required on publicationen_GB
dc.rights© 2025 The author(s). For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submissionen_GB
dc.subjectFloating Offshore Wind Turbine Simulationen_GB
dc.subjectReduced Order Modelingen_GB
dc.subjectMooringen_GB
dc.subjectModeling and Simulationen_GB
dc.titleBalancing Fidelity and Computational Efficiency in Mooring System Simulations for Floating Offshore Wind Turbinesen_GB
dc.typeConference paperen_GB
dc.date.available2025-04-07T09:21:04Z
dc.identifier.issn2153-4772
exeter.locationVancouver, BC, Canada
dc.descriptionThis is the author accepted manuscript.en_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_GB
dcterms.dateAccepted2025-02-26
dcterms.dateSubmitted2025-01-08
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2025-02-26
rioxxterms.typeConference Paper/Proceeding/Abstracten_GB
refterms.dateFCD2025-04-07T05:58:44Z
refterms.versionFCDAM
refterms.panelBen_GB
exeter.rights-retention-statementNo


Files in this item

This item appears in the following Collection(s)

Show simple item record

© 2025 The author(s). For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission
Except where otherwise noted, this item's licence is described as © 2025 The author(s). For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission