Numerical investigation of laboratory tested cross-flow tidal turbines and Reynolds number scaling


Stringer, R. M., Hillis, A. J. and Zang, J., 2016. Numerical investigation of laboratory tested cross-flow tidal turbines and Reynolds number scaling. Renewable Energy, 85, pp. 1316-1327.

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    The cross-flow, or vertical axis tidal turbine, is a prominent configuration of marine renewable energy device aimed at converting tidal currents into electrical energy. This paper highlights the hydrodynamic limitations of laboratory testing such devices and uses numerical simulation to explore the effect of device scaling. Using a 2D Reynolds-Averaged Navier-Stokes (RANS) numerical approach, a single turbine blade is initially modelled and validated against published data. The resultant numerical model is then expanded to emulate an experimental cross-flow tidal turbine designed and tested by the University of Oxford. The simulated turbine achieves a close quantitative match for coefficients of power, torque and thrust, forming the basis of a study exploring the effects of Reynolds number scaling in three alternative operating conditions. It is discovered that the coefficient of power (CP) increases with Re- without a ubiquitous correlation until an Re- of ~350,000. Above this Re- the CP values for all three operation conditions become both proportional and predictable. The study represents a significant contribution to understanding the application of detailed numerical modelling techniques to cross-flow tidal turbines. The findings, with regard to scaling from laboratory data, could reduce uncertainty and development costs for new and existing devices.


    Item Type Articles
    CreatorsStringer, R. M., Hillis, A. J. and Zang, J.
    Related URLs
    URLURL Type
    Uncontrolled Keywordscross-flow,low reynolds number,numerical,rans,scaling,tidal turbine
    DepartmentsFaculty of Engineering & Design > Architecture & Civil Engineering
    Faculty of Engineering & Design > Mechanical Engineering
    Research Centres & Institutes > Water, Environment and Infrastructure resilience (WEIR) Research Unit
    Research CentresCentre for Power Transmission & Motion Control
    ?? WIRC ??
    EPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
    ID Code46897


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