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Temporal and spatial characterisation of tidal blade load variation for structural fatigue testing

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  • Lam, Raymond
  • Dubon, Sergio Lopez
  • Sellar, Brian
  • Vogel, Christopher
  • Davey, Thomas
  • Steynor, Jeffrey

Abstract

To achieve the full potential of tidal stream energy, developers are incentivised to use larger blades on tidal turbines. This requires validation of blade structural designs through full-scale blade fatigue tests to de-risk the engineering process. However, the loading scenarios encountered in testing facilities and those in reality could be significantly different, which induces errors in blade loads and fatigue damage. Here we characterise the unsteady tidal blade load variation through model-scale experiment. It was found that the standard deviations of thrust load range between 200% and 637% of condition without waves. This results in an increase of predicted fatigue damage between 6% and 18%. It was observed that the centre of effort shifts towards the blade root when encountering wave crests of opposing waves, which has not been reported in the literature to date. To reduce errors in fatigue test while the centre of effort is fixed, matching blade shear forces should be sacrificed to match target bending moment at the root. Matching blade shear forces leads to a reduction of predicted fatigue damage ranges from 17% to 25%, which can induce errors in fatigue testing. We anticipate our findings would facilitate the development of fatigue testing of tidal turbine blades.

Suggested Citation

  • Lam, Raymond & Dubon, Sergio Lopez & Sellar, Brian & Vogel, Christopher & Davey, Thomas & Steynor, Jeffrey, 2023. "Temporal and spatial characterisation of tidal blade load variation for structural fatigue testing," Renewable Energy, Elsevier, vol. 208(C), pages 665-678.
    • Handle: RePEc:eee:renene:v:208:y:2023:i:c:p:665-678
    DOI: 10.1016/j.renene.2023.03.117
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    References listed on IDEAS

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    1. Gaurier, Benoît & Davies, Peter & Deuff, Albert & Germain, Grégory, 2013. "Flume tank characterization of marine current turbine blade behaviour under current and wave loading," Renewable Energy, Elsevier, vol. 59(C), pages 1-12.
    2. Chernin, Leon & Val, Dimitri V., 2017. "Probabilistic prediction of cavitation on rotor blades of tidal stream turbines," Renewable Energy, Elsevier, vol. 113(C), pages 688-696.
    3. Milne, I.A. & Day, A.H. & Sharma, R.N. & Flay, R.G.J., 2016. "The characterisation of the hydrodynamic loads on tidal turbines due to turbulence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 851-864.
    4. Scarlett, Gabriel Thomas & Sellar, Brian & van den Bremer, Ton & Viola, Ignazio Maria, 2019. "Unsteady hydrodynamics of a full-scale tidal turbine operating in large wave conditions," Renewable Energy, Elsevier, vol. 143(C), pages 199-213.
    5. Thomas Scarlett, Gabriel & Viola, Ignazio Maria, 2020. "Unsteady hydrodynamics of tidal turbine blades," Renewable Energy, Elsevier, vol. 146(C), pages 843-855.
    6. Liu, Pengfei & Veitch, Brian, 2012. "Design and optimization for strength and integrity of tidal turbine rotor blades," Energy, Elsevier, vol. 46(1), pages 393-404.
    7. Draycott, S. & Steynor, J. & Nambiar, A. & Sellar, B. & Venugopal, V., 2020. "Rotational sampling of waves by tidal turbine blades," Renewable Energy, Elsevier, vol. 162(C), pages 2197-2209.
    8. Luznik, Luksa & Flack, Karen A. & Lust, Ethan E. & Taylor, Katharin, 2013. "The effect of surface waves on the performance characteristics of a model tidal turbine," Renewable Energy, Elsevier, vol. 58(C), pages 108-114.
    9. Payne, Grégory S. & Stallard, Tim & Martinez, Rodrigo, 2017. "Design and manufacture of a bed supported tidal turbine model for blade and shaft load measurement in turbulent flow and waves," Renewable Energy, Elsevier, vol. 107(C), pages 312-326.
    10. Kennedy, Ciaran R. & Jaksic, Vesna & Leen, Sean B. & Brádaigh, Conchúr M.Ó., 2018. "Fatigue life of pitch- and stall-regulated composite tidal turbine blades," Renewable Energy, Elsevier, vol. 121(C), pages 688-699.
    11. Samuel Draycott & Duncan Sutherland & Jeffrey Steynor & Brian Sellar & Vengatesan Venugopal, 2017. "Re-Creating Waves in Large Currents for Tidal Energy Applications," Energies, MDPI, vol. 10(11), pages 1-24, November.
    12. Galloway, Pascal W. & Myers, Luke E. & Bahaj, AbuBakr S., 2014. "Quantifying wave and yaw effects on a scale tidal stream turbine," Renewable Energy, Elsevier, vol. 63(C), pages 297-307.
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    Cited by:

    1. Zhang, Yidan & Shek, Jonathan K.H. & Mueller, Markus A., 2023. "Controller design for a tidal turbine array, considering both power and loads aspects," Renewable Energy, Elsevier, vol. 216(C).

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