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dc.contributor.authorSrinivas, Arjun
dc.contributor.authorRobertson, Bryson
dc.contributor.authorGadasi, Jonah Benjamin
dc.contributor.authorSimpson, Barbara Gwynne
dc.contributor.authorLomónaco, Pedro
dc.contributor.authorBlanco Ilzarbe, Jesús María ORCID
dc.date.accessioned2023-01-23T15:07:22Z
dc.date.available2023-01-23T15:07:22Z
dc.date.issued2023-01-07
dc.identifier.citationJournal of Marine Science and Engineering 11(1) : (2023) // Article ID139es_ES
dc.identifier.issn2077-1312
dc.identifier.urihttp://hdl.handle.net/10810/59416
dc.description.abstractThe worldwide effort to design and commission floating offshore wind turbines (FOWT) is motivating the need for reliable numerical models that adequately represent their physical behavior under realistic sea states. However, properly representing the hydrodynamic quadratic damping for FOWT remains uncertain, because of its dependency on the choice of drag coefficients (dimensionless or not). It is hypothesized that the limited degree of freedom (DoF) drag coefficient formulation that uses only translational drag coefficients causes mischaracterization of the rotational DoF drag, leading to underestimation of FOWT global loads, such as tower base fore-aft shear. To address these hydrodynamic modeling uncertainties, different quadratic drag models implemented in the open-source mid-fidelity simulation tool, OpenFAST, were investigated and compared with the experimental data from the Offshore Code Comparison Collaboration, Continued, with Correlation (OC5) project. The tower base fore-aft shear and up-wave mooring line tension were compared under an irregular wave loading condition to demonstrate the effects of the different damping models. Two types of hydrodynamic quadratic drag formulations were considered: (1) member-based dimensionless drag coefficients applied only at the translational DoF (namely limited-DoF drag model) and (2) quadratic drag matrix model (in dimensional form). Based on the results, the former consistently underestimated the 95th percentile peak loads and spectral responses when compared to the OC5 experimental data. In contrast, the drag matrix models reduced errors in estimates of the tower base shear peak load by 7–10% compared to the limited-DoF drag model. The underestimation in the tower base fore-aft shear was thus inferred be related to mischaracterization of the rotational pitch drag and the heave motion/drag by the limited-DoF model.es_ES
dc.description.sponsorshipThis work was partially supported by the Research Group of the Basque Government (IT1514-22) and the U.S. Department of Energy (DOE) under award number DE-EE0008960, titled “Coupled Aerodynamic and Hydrodynamic Hybrid Simulation of Floating Offshore Wind Turbines”.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectfloating offshore windes_ES
dc.subjectsemi-submersiblees_ES
dc.subjectOpenFASTes_ES
dc.subjectquadratic drages_ES
dc.subjectOC5es_ES
dc.titleImpact of Limited Degree of Freedom Drag Coefficients on a Floating Offshore Wind Turbine Simulationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2023-01-20T14:22:56Z
dc.rights.holder© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2077-1312/11/1/139es_ES
dc.identifier.doi10.3390/jmse11010139
dc.departamentoesIngeniería Energética
dc.departamentoeuEnergia Ingenieritza


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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).
Except where otherwise noted, this item's license is described as © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).