Open this publication in new window or tab >>2024 (English)In: International Journal of Offshore and Polar Engineering, ISSN 1053-5381, Vol. 34, no 3, p. 246-253Article in journal (Refereed) Published
Abstract [en]
We numerically simulate the hydrodynamic response of a floating offshore wind turbine (FOWT) using computational fluid dynamics. The FOWT under consideration is a slack-moored 1:70 scale model of the UMaine VolturnUS-S semi-submersible platform. The test cases under consideration are (i) static equilibrium load cases, (ii) free decay tests, and (iii) two focused wave cases of different wave steepness. The FOWT is modelled using a two-phase Navier-Stokes solver inside the OpenFOAM-v2006 framework. The catenary mooring is computed by dynamically solving the equations of motion for an elastic cable using the MoodyCore solver. The results are shown to be in good agreement with measurements.
Place, publisher, year, edition, pages
International Society of Offshore and Polar Engineers, 2024
Keywords
Computational fluid dynamics; Hydrodynamics; Mooring; Offshore wind turbines; Computational fluid; Floating offshore wind turbines; Fluid-dynamics; High-fidelity; Hydrodynamic response; Hydrodynamic simulation; Scale-model; Static equilibrium; Submersible platforms; Test case; computational fluid dynamics; floating structure; hydrodynamics; mooring system; simulation; wind turbine; wind wave; Navier Stokes equations
National Category
Fluid Mechanics
Identifiers
urn:nbn:se:ri:diva-76043 (URN)10.17736/ijope.2024.sv15 (DOI)2-s2.0-85205431465 (Scopus ID)
Funder
Swedish Energy Agency, 44423-2EU, Horizon Europe, 101068736Swedish Research Council, 2018-05973,
Note
Support for this work was given by the Swedish Energy Agency through Grant No. 44423-2 and EU Horizon through the MSCA-PF Grant No. 101068736. Computations were performed on resources at (i) the National Supercomputer Centre provided by NAISS, partially funded by the Swedish Research Council through Grant Agreement No. 2018-05973, and (ii) LUMI though DeiC National HPC Grant Agreement No. DeiC-AAU-N3-2023017.
2024-10-302024-10-302025-02-09Bibliographically approved