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Probabilistic prediction of cavitation on rotor blades of tidal stream turbines

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  • Chernin, Leon
  • Val, Dimitri V.

Abstract

Power generation from tidal currents is currently a fast developing sector of the renewable energy industry. A number of technologies are under development within this sector, of which the most popular one is based on the use of horizontal axis turbines with propeller-type blades. When such a turbine is operating, the interaction of its rotating blades with seawater induces pressure fluctuations on the blade surface which may cause cavitation. Depending on its extent and severity, cavitation may damage the blades through erosion of their surface, while underwater noise caused by cavitation may be harmful to marine life. Hence, it is important to prevent cavitation or at least limit its harmful effects. The paper presents a method for predicting the probability of cavitation on blades of a horizontal axis tidal stream turbine. Uncertainties associated with the velocities of seawater and water depth above the turbine blades are taken into account. It is shown how using the probabilistic analysis the expected time of exposure of the blade surfaces to cavitation can be estimated.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:113:y:2017:i:c:p:688-696
    DOI: 10.1016/j.renene.2017.06.037
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    References listed on IDEAS

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    1. Val, Dimitri V. & Chernin, Leon & Yurchenko, Daniil V., 2014. "Reliability analysis of rotor blades of tidal stream turbines," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 26-33.
    2. Bahaj, A.S. & Molland, A.F. & Chaplin, J.R. & Batten, W.M.J., 2007. "Power and thrust measurements of marine current turbines under various hydrodynamic flow conditions in a cavitation tunnel and a towing tank," Renewable Energy, Elsevier, vol. 32(3), pages 407-426.
    3. Bryden, I.G & Naik, S & Fraenkel, P & Bullen, C.R, 1998. "Matching tidal current plants to local flow conditions," Energy, Elsevier, vol. 23(9), pages 699-709.
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    Cited by:

    1. Soudan, Bassel, 2019. "Community-scale baseload generation from marine energy," Energy, Elsevier, vol. 189(C).
    2. Zhang, Yuquan & Peng, Bin & Zheng, Jinhai & Zheng, Yuan & Tang, Qinghong & Liu, Zhiqiang & Xu, Junhui & Wang, Yirong & Fernandez-Rodriguez, Emmanuel, 2023. "The impact of yaw motion on the wake interaction of adjacent floating tidal stream turbines under free surface condition," Energy, Elsevier, vol. 283(C).
    3. Anatoliy M. Pavlenko & Hanna Koshlak, 2021. "Application of Thermal and Cavitation Effects for Heat and Mass Transfer Process Intensification in Multicomponent Liquid Media," Energies, MDPI, vol. 14(23), pages 1-19, November.
    4. 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.
    5. Yiyi Xu & Juin Ming Foong & Pengfei Liu, 2023. "Hydrodynamic Effect of Highly Skewed Horizontal-Axis Tidal Turbine (HATT) Rotors," Energies, MDPI, vol. 16(8), pages 1-16, April.

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