Balancing Fidelity and Computational Efficiency in Mooring System Simulations for Floating Offshore Wind Turbines
dc.contributor.author | Glasspool, J | |
dc.contributor.author | Duarte, T | |
dc.contributor.author | Race, J | |
dc.contributor.author | Venugopal, V | |
dc.contributor.author | Pillai, AC | |
dc.date.accessioned | 2025-04-07T09:21:04Z | |
dc.date.issued | 2025 | |
dc.date.updated | 2025-04-07T05:58:31Z | |
dc.description.abstract | Floating 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.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.description.sponsorship | Natural Environment Research Council (NERC) | en_GB |
dc.description.sponsorship | Arven Offshore Wind Farm | en_GB |
dc.description.sponsorship | Royal Academy of Engineering (RAE) | en_GB |
dc.identifier.citation | ASME 2025 44th International Conference on Ocean, Offshore and Arctic Engineering OMAE2025, Vancouver, BC, Canada, 22 -27 June 2025. Awaiting full citation and DOI | en_GB |
dc.identifier.grantnumber | EP/S023933/1 | en_GB |
dc.identifier.grantnumber | RF\202021\20\175 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/140755 | |
dc.language.iso | en | en_GB |
dc.publisher | American Society of Mechanical Engineers (ASME) | en_GB |
dc.rights.embargoreason | Under temporary indefinite embargo pending publication by ASME. No embargo required on publication | en_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 submission | en_GB |
dc.subject | Floating Offshore Wind Turbine Simulation | en_GB |
dc.subject | Reduced Order Modeling | en_GB |
dc.subject | Mooring | en_GB |
dc.subject | Modeling and Simulation | en_GB |
dc.title | Balancing Fidelity and Computational Efficiency in Mooring System Simulations for Floating Offshore Wind Turbines | en_GB |
dc.type | Conference paper | en_GB |
dc.date.available | 2025-04-07T09:21:04Z | |
dc.identifier.issn | 2153-4772 | |
exeter.location | Vancouver, BC, Canada | |
dc.description | This is the author accepted manuscript. | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | en_GB |
dcterms.dateAccepted | 2025-02-26 | |
dcterms.dateSubmitted | 2025-01-08 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2025-02-26 | |
rioxxterms.type | Conference Paper/Proceeding/Abstract | en_GB |
refterms.dateFCD | 2025-04-07T05:58:44Z | |
refterms.versionFCD | AM | |
refterms.panel | B | en_GB |
exeter.rights-retention-statement | No |
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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