CFD Prediction of Turbulent Flow on an Experimental Tidal Stream Turbine using RANS modelling

James Mcnaughton, Stefano Rolfo, David Apsley, Imran Afgan, Timothy Stallard, Peter Stansby

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    114 Downloads (Pure)


    A detailed computational fluid dynamics (CFD) study of a laboratory scale tidal stream turbine (TST) is presented. Three separate Reynolds Averaged Navier Stokes (RANS) models: the k-epsilon and k-omega-SST eddy-viscosity models, and the Launder-Reece-Rodi (LRR) Reynolds stress model, are used to simulate the turbulent flow-field using a new sliding-mesh method implemented in EDF's open-source Computational Fluid Dynamics solver, Code_Saturne. Validation of the method is provided through a comparison of power and thrust measurements for varying tip-speed ratios (TSR). The SST and LRR models yield results within several per cent of experimental values, whilst the k-epsilon model significantly under-predicts the force coefficients. The blade and turbine performance for each model is examined to identify the quality of the predictions. Finally, detailed modelling of the turbulence and velocity in the near and far wake is presented. The SST and LRR models are able to identify tip vortex structures and effects of the mast as opposed to the standard k-epsilon model.
    Original languageEnglish
    Title of host publicationhost publication
    Publication statusPublished - Nov 2012
    Event1st Asian Wave and Tidal Energy Conference - Jeju Island, South Korea
    Duration: 27 Nov 201230 Nov 2012


    Conference1st Asian Wave and Tidal Energy Conference
    CityJeju Island, South Korea


    • Computational Fluid Dynamics (CFD)
    • Reynolds Averaged Navier Stokes (RANS)
    • Tidal energy
    • Tidal stream turbine
    • ReDAPT


    Dive into the research topics of 'CFD Prediction of Turbulent Flow on an Experimental Tidal Stream Turbine using RANS modelling'. Together they form a unique fingerprint.

    Cite this