Probabilistic prediction of cavitation on rotor blades of tidal stream turbines

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

Research output: Contribution to journalArticle

5 Citations (Scopus)
62 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)688-696
Number of pages9
JournalRenewable Energy
Volume113
Early online date8 Jun 2017
DOIs
Publication statusPublished - Dec 2017

Fingerprint

Cavitation
Turbomachine blades
Turbines
Rotors
Seawater
Propellers
Power generation
Erosion
Water
Industry

Keywords

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

Cite this

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Probabilistic prediction of cavitation on rotor blades of tidal stream turbines. / Chernin, Leon; Val, Dimitri V. (Lead / Corresponding author).

In: Renewable Energy, Vol. 113, 12.2017, p. 688-696.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Probabilistic prediction of cavitation on rotor blades of tidal stream turbines

AU - Chernin, Leon

AU - Val, Dimitri V.

N1 - no funding info

PY - 2017/12

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AB - 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.

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KW - Cavitation

KW - Turbulence

KW - Waves

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