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Large-Eddy Simulation of a Vertical Axis Tidal Turbine Using an Immersed Boundary Method

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Book cover CFD for Wind and Tidal Offshore Turbines

Part of the book series: Springer Tracts in Mechanical Engineering ((STME))

Abstract

Vertical Axis Tidal Turbines (VATTs) are an innovative way of harnessing renewable energy from tidal streams. Herein a novel numerical approach using a refined Large Eddy Simulation (LES) code to simulate the performance of a VATT is presented. The turbine blades are modelled with Lagrangian markers using the Immersed Boundary Method which offers several advantages especially concerning computational effort. Comparisons of the LES results with experimental and numerical data suggest reasonably good accuracy of the code. In addition, the stability of the method for high Reynolds number flows is also discussed.

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Acknowledgements

The authors wish to thank Cardiff University’s ARCCA and HPC Wales for providing High Performance Computing resources.

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Authors and Affiliations

  1. Hydro-Environmental Research Group, School of Engineering, Cardiff University, Cardiff, UK

    Pablo Ouro Barba, Thorsten Stoesser & Richard McSherry

Authors
  1. Pablo Ouro Barba
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  2. Thorsten Stoesser
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  3. Richard McSherry
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Corresponding author

Correspondence to Pablo Ouro Barba .

Editor information

Editors and Affiliations

  1. School of Aeronautics, Universidad Politecnica de Madrid (ETSIA-UPM), Madrid, Spain

    Esteban Ferrer

  2. Universitat Politecnica de Catalunya, Escola d'Enginyeria de Telecomunicacio i Aeronautica, Catelldefels, Spain

    Adeline Montlaur

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Barba, P.O., Stoesser, T., McSherry, R. (2015). Large-Eddy Simulation of a Vertical Axis Tidal Turbine Using an Immersed Boundary Method. In: Ferrer, E., Montlaur, A. (eds) CFD for Wind and Tidal Offshore Turbines. Springer Tracts in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-16202-7_5

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  • DOI: https://doi.org/10.1007/978-3-319-16202-7_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16201-0

  • Online ISBN: 978-3-319-16202-7

  • eBook Packages: EngineeringEngineering (R0)

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