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Unsteady hydrodynamics of a full-scale tidal turbine operating in large wave conditions

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  • Scarlett, Gabriel Thomas
  • Sellar, Brian
  • van den Bremer, Ton
  • Viola, Ignazio Maria

Abstract

Tidal turbines operate in a highly unsteady environment, which causes large-amplitude load fluctuations to the rotor. This can result in dynamic and fatigue failures. Hence, it is critical that the unsteady loads are accurately predicted. A rotor's blade can experience stall delay, load hysteresis and dynamic stall. Yet, the significance of these effects for a full-scale axial-flow turbine are unclear. To investigate, we develop a simple model for the unsteady hydrodynamics of the rotor and consider field measurements of the onset flow. We find that when the rotor operates in large, yet realistic wave conditions, that the load cycle is governed by the waves, and the power and blade bending moments oscillate by half of their mean values. While the flow remains attached near the blade tip, dynamic stall occurs near the blade root, resulting in a twofold overshoot of the local lift coefficient compared to the static value. At the optimal tip-speed ratio, the difference between the unsteady loads computed with our model and a simple quasi-steady approximation is small. However, below the optimal tip-speed ratio, dynamic stall may occur over most of the blade, and the maximum peak loads can be twice those predicted with a quasi-steady approximation.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:143:y:2019:i:c:p:199-213
    DOI: 10.1016/j.renene.2019.04.123
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    References listed on IDEAS

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    Cited by:

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    3. Thomas Scarlett, Gabriel & Viola, Ignazio Maria, 2020. "Unsteady hydrodynamics of tidal turbine blades," Renewable Energy, Elsevier, vol. 146(C), pages 843-855.
    4. Perez, Larissa & Cossu, Remo & Grinham, Alistair & Penesis, Irene, 2021. "Seasonality of turbulence characteristics and wave-current interaction in two prospective tidal energy sites," Renewable Energy, Elsevier, vol. 178(C), pages 1322-1336.
    5. Pisetta, Gabriele & Le Mestre, Robin & Viola, Ignazio Maria, 2022. "Morphing blades for tidal turbines: A theoretical study," Renewable Energy, Elsevier, vol. 183(C), pages 802-819.
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    7. Huang, Bin & Wang, Pengzhong & Wang, Lu & Cao, Tingfa & Wu, Dazhuan & Wu, Peng, 2021. "A combined method of CFD simulation and modified Beddoes-Leishman model to predict the dynamic stall characterizations of S809 airfoil," Renewable Energy, Elsevier, vol. 179(C), pages 1636-1649.
    8. 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.
    9. Perez, Larissa & Cossu, Remo & Grinham, Alistair & Penesis, Irene, 2022. "An investigation of tidal turbine performance and loads under various turbulence conditions using Blade Element Momentum theory and high-frequency field data acquired in two prospective tidal energy s," Renewable Energy, Elsevier, vol. 201(P1), pages 928-937.
    10. Perez, Larissa & Cossu, Remo & Grinham, Alistair & Penesis, Irene, 2022. "Tidal turbine performance and loads for various hub heights and wave conditions using high-frequency field measurements and Blade Element Momentum theory," Renewable Energy, Elsevier, vol. 200(C), pages 1548-1560.

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