Analysis of Floating Offshore Wind Platform Hydrodynamics Using Underwater SPIV: A Review

Navid Belvasi, Frances Judge, Jimmy Murphy and Cian Desmond
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Navid Belvasi: MaREI Centre, Environmental Research Institute, University College Cork, P43 C573 Cork, Ireland
Frances Judge: MaREI Centre, Environmental Research Institute, University College Cork, P43 C573 Cork, Ireland
Jimmy Murphy: MaREI Centre, Environmental Research Institute, University College Cork, P43 C573 Cork, Ireland
Cian Desmond: Gavin & Doherty Geosolutions Ltd., D14 X627 Dublin, Ireland

Energies, 2022, vol. 15, issue 13, 1-26

Abstract: There is a need for new numerical tools to capture the physics of floating offshore wind turbines (FOWTs) more accurately to refine engineering designs and reduce costs. The conventional measurement apparatuses in tank tests, including wave probes, velocity and current profilers, and Doppler sensors, are unable to provide a full 3D picture of velocity, pressure, turbulence, and vorticity profile. In tank tests, use of the underwater stereoscopic particle image velocimetry (SPIV) method to fully characterise the 3D flow field around floating wind platforms can overcome some of the limitations associated with classical measurement techniques and provide a rich source of validation data to advance high-fidelity numerical tools. The underwater SPIV method has been widely used for marine and offshore applications, including ship and propeller wakes, wave dynamics, and tidal stream turbines; however, to date, this technology has not seen widespread use for the hydrodynamic study of FOWTs. This paper provides a critical review of the suitability of underwater SPIV for analysing the hydrodynamics of FOWTs, reviews the challenges of using the method for FOWT tank test applications, and discusses the contributions the method can make to mitigating current research gaps in FOWT tank tests.

Keywords: floating offshore wind turbine; FOWT; high-fidelity; numerical tools; stereoscopic particle image velocimetry; SPIV; advanced tank test methods; model test (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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