Probabilistic prediction of cavitation on rotor blades of tidal stream turbines

Leon Chernin, Dimitri V. Val (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)
225 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)688-696
Number of pages9
JournalRenewable Energy
Early online date8 Jun 2017
Publication statusPublished - Dec 2017


  • Tidal stream turbine
  • Rotor blades
  • Cavitation
  • Turbulence
  • Waves
  • Probability


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