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A full-scale tidal blade fatigue test using the FastBlade facility

Abstract:
Fatigue testing of tidal turbine blades requires the application of cyclic loads without the ability to match the natural frequency of the blade due to their high stiffness and the associated thermal issues of testing composite materials at those frequencies (i.e., 18–20 Hz). To solve this, loading the blades with an auxiliary system is necessary; in most cases, a conventional hydraulic system tends to be highly energy-demanding and inefficient. A regenerative digital displacement hydraulic pump system was employed in the FastBlade fatigue testing facility, which saved up to 75 % compared to a standard hydraulic system. A series of equivalent target loads were defined using Reynolds-Averaged Navier Stokes (RANS) simulations (based on on-site collected water velocity data) and utilised in FastBlade to demonstrate an efficient way to perform fatigue testing. During the test, a series of measurements were performed on the blade response and the Fastblade test structure itself, providing novel insights into the mechanical behaviour of a blade, and enabling improved testing practice for FastBlade. Without catastrophic failure, the blade withstood the principal tidal loading for 20 years (equivalent). This test data will enable FastBlade to identify improvements to the testing procedures, i.e., control strategies, load introduction, instrumentation layout, instrument calibration, and test design.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.renene.2024.120653

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Brasenose College
Role:
Author
ORCID:
0000-0003-2232-9811


Publisher:
Elsevier
Journal:
Renewable Energy More from this journal
Volume:
228
Article number:
120653
Publication date:
2024-05-15
Acceptance date:
2024-05-13
DOI:
EISSN:
1879-0682
ISSN:
0960-1481


Language:
English
Keywords:
Pubs id:
1997470
Local pid:
pubs:1997470
Deposit date:
2024-05-21
ARK identifier:

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