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Fatigue life of pitch- and stall-regulated composite tidal turbine blades

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  • Kennedy, Ciaran R.
  • Jaksic, Vesna
  • Leen, Sean B.
  • Brádaigh, Conchúr M.Ó.

Abstract

Tidal turbine blades are subject to harsh loading and environmental conditions, including large thrust and torsional loadings, relative to wind turbine blades, due to the high density of seawater, among other factors. The complex combination of these loadings, as well as water ingress and associated composite laminate saturation, have significant implications for blade design, affecting overall device design, stability, scalability, energy production and cost-effectiveness. This study investigates the effect of seawater ingress on composite material properties, and the associated design and life expectancy of tidal turbine blades in operating conditions. The fatigue properties of dry and water-saturated glass fibre reinforced laminates are experimentally evaluated and incorporated into tidal blade design. The fatigue lives of pitch- and stall-regulated tidal turbine blades are found to be altered by seawater immersion. Water-saturation is shown to reduce blade life about 3 years for stall-regulated blades and by about 1–2 years for pitch-regulated blades. The effect of water ingress can be compensated by increased laminate thickness. The tidal turbine blade design methodology presented here can be used for evaluation of blade life expectancy and tidal device energy production.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:121:y:2018:i:c:p:688-699
    DOI: 10.1016/j.renene.2018.01.085
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    References listed on IDEAS

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    1. Batten, W.M.J. & Bahaj, A.S. & Molland, A.F. & Chaplin, J.R., 2008. "The prediction of the hydrodynamic performance of marine current turbines," Renewable Energy, Elsevier, vol. 33(5), pages 1085-1096.
    2. Grogan, D.M. & Leen, S.B. & Kennedy, C.R. & Ó Brádaigh, C.M., 2013. "Design of composite tidal turbine blades," Renewable Energy, Elsevier, vol. 57(C), pages 151-162.
    3. Fagan, Edward M. & Kennedy, Ciaran R. & Leen, Sean B. & Goggins, Jamie, 2016. "Damage mechanics based design methodology for tidal current turbine composite blades," Renewable Energy, Elsevier, vol. 97(C), pages 358-372.
    4. O'Rourke, Fergal & Boyle, Fergal & Reynolds, Anthony, 2010. "Tidal current energy resource assessment in Ireland: Current status and future update," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3206-3212, December.
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    Cited by:

    1. Lopez Dubon, Sergio & Vogel, Christopher & Garcia Cava, David & Cuthill, Fergus & McCarthy, Edward D. & Ó Bradaigh, Conchur M., 2024. "A Full-Scale Tidal Blade Fatigue Test using the FastBlade Facility," Renewable Energy, Elsevier, vol. 228(C).
    2. Qian, Peng & Feng, Bo & Liu, Hao & Tian, Xiange & Si, Yulin & Zhang, Dahai, 2019. "Review on configuration and control methods of tidal current turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 125-139.
    3. Finnegan, William & Fagan, Edward & Flanagan, Tomas & Doyle, Adrian & Goggins, Jamie, 2020. "Operational fatigue loading on tidal turbine blades using computational fluid dynamics," Renewable Energy, Elsevier, vol. 152(C), pages 430-440.
    4. Gambuzza, Stefano & Pisetta, Gabriele & Davey, Thomas & Steynor, Jeffrey & Viola, Ignazio Maria, 2023. "Model-scale experiments of passive pitch control for tidal turbines," Renewable Energy, Elsevier, vol. 205(C), pages 10-29.
    5. 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.
    6. Xu, Jian & Wang, Longyan & Yuan, Jianping & Luo, Zhaohui & Wang, Zilu & Zhang, Bowen & Tan, Andy C.C., 2024. "DLFSI: A deep learning static fluid-structure interaction model for hydrodynamic-structural optimization of composite tidal turbine blade," Renewable Energy, Elsevier, vol. 224(C).

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