Cross-sectorial learning of model testing methodologies aligned to technology TRL

Leite, Anita and Davey, Thomas and Dai, David and Pillai, Ajit C. and Bruce, Tom; (2023) Cross-sectorial learning of model testing methodologies aligned to technology TRL. In: Proceedings of the ASME 2022 4th International Offshore Wind Technical Conference. Proceedings of the ASME 2022 4th International Offshore Wind Technical Conference, IOWTC2022 . ASME, [New York, NY.]. ISBN 9780791886618 (https://doi.org/10.1115/iowtc2022-93886)

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Abstract

This paper presents a state of the art review of Floating Offshore Wind Turbines (FOWT) tank testing in wave basins from the perspective of understanding how different test methodologies currently deployed can be correlated to the development stage of the design being tested. This approach was already adopted by the wave energy sector, however, for the FOWT sector this is not fully developed, and only briefly mentioned in guidance documents. An open question in the application of aerodynamic loads within wave basin testing is, how complex does it need to be? For wave basin testing facilities, it is important to understand how a test program must be set up to meet the clients’ requirements. The designs being tested may be at different development stages, i.e., different Technology Readiness Levels (TRL) and it is important to understand how the test configuration will impact the clients’ objectives. Three main tank test campaigns will be performed at FloWave Ocean Energy Research Facility using the UMaine VolturnUS-S reference platform developed for the IEA wind 15-MW offshore reference wind turbine. It will be used as a basis for the development of a staged development approach for the FOWT sector. In preparation for these tests, the present paper explores and evaluates the appropriateness, with relation to TRL, of different methodologies for including aerodynamic loads in wave basin testing of FOWT.

ORCID iDs

Leite, Anita, Davey, Thomas, Dai, David ORCID logoORCID: https://orcid.org/0000-0002-9666-6346, Pillai, Ajit C. and Bruce, Tom;