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Flume testing of passively adaptive composite tidal turbine blades under combined wave and current loading

Porter, Kate, Ordonez-Sanchez, Stephanie, Murray, Robynne, Allmark, Matthew ORCID:, Johnstone, Cameron, O'Doherty, Timothy ORCID:, Mason-Jones, Allan ORCID:, Doman, Darrel and Pegg, Michael 2020. Flume testing of passively adaptive composite tidal turbine blades under combined wave and current loading. Journal of Fluids and Structures 93 , 102825. 10.1016/j.jfluidstructs.2019.102825

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The tidal energy industry is progressing rapidly, but there are still barriers to overcome to realise the commercial potential of this sector. Large magnitude and highly variable loads caused by waves acting on the turbine are of particular concern. Composite blades with in-built bend-twist elastic response may reduce these peak loads, by passively feathering with increasing thrust. This could decrease capital costs by lowering the design loads, and improve robustness through the mitigation of pitch mechanisms. In this study, the previous research is extended to examine the performance of bend-twist blades in combined wave-current flow, which will frequently be encountered in the field. A scaled 3 bladed turbine was tested in the flume at IFREMER with bend-twist composite blades and equivalent rigid blades, sequentially under current and co-directional wave-current cases. In agreement with previous research, when the turbine was operating in current alone at higher tip speed ratios the bend-twist blades reduced the mean thrust and power compared to the rigid blades. Under the specific wave-current condition tested the average loads were similar on both blade sets. Nevertheless, the bend-twist blades substantially reduced the magnitudes of the average thrust and torque fluctuations per wave cycle, by up to 10% and 14% respectively.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Advanced Research Computing @ Cardiff (ARCCA)
Subjects: T Technology > TC Hydraulic engineering. Ocean engineering
Publisher: Elsevier
ISSN: 0889-9746
Funders: EPSRC
Date of First Compliant Deposit: 5 December 2019
Date of Acceptance: 29 November 2019
Last Modified: 04 Nov 2022 23:35

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