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Wake of a Ducted Vertical Axis Tidal Turbine in Turbulent Flows, LBM Actuator-Line Approach

Author

Listed:
  • Mikaël Grondeau

    (Normandie Univ, UNICAEN LUSAC, EA 4253, 60 rue Max-Pol Fouchet, CS 20082 Cherbourg, France)

  • Sylvain Guillou

    (Normandie Univ, UNICAEN LUSAC, EA 4253, 60 rue Max-Pol Fouchet, CS 20082 Cherbourg, France)

  • Philippe Mercier

    (Normandie Univ, UNICAEN LUSAC, EA 4253, 60 rue Max-Pol Fouchet, CS 20082 Cherbourg, France)

  • Emmanuel Poizot

    (Conservatoire National des Arts et Métiers-INTECHMER, Bd de Collignon, 50110 Tourlaville, France)

Abstract

Vertical axis tidal turbines are devices that extract the kinetic energy from tidal currents. Tidal currents can be highly turbulent. Since ambient turbulence affects the turbine hydrodynamic, it is critical to understand its influence in order to optimize tidal farms. Actuator Line Model (ALM) combined with Large Eddy Simulation (LES) is a promising way to comprehend this phenomenon. In this article, an ALM was implemented into a Lattice Boltzmann Method (LBM) LES solver. This implementation gives good results for predicting the wake of a vertical axis tidal turbine placed into a turbulent boundary layer. The validated numerical configuration was then used to compute the wake of a real size ducted vertical axis tidal turbine. Several upstream turbulence rates were simulated. It was found that the shape of the wake is strongly influenced by the ambient turbulence. The cost-to-precision ratio of ALM-LBM-LES compared to fully resolved LBM-LES makes it a promising way of modeling tidal farms.

Suggested Citation

  • Mikaël Grondeau & Sylvain Guillou & Philippe Mercier & Emmanuel Poizot, 2019. "Wake of a Ducted Vertical Axis Tidal Turbine in Turbulent Flows, LBM Actuator-Line Approach," Energies, MDPI, vol. 12(22), pages 1-23, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4273-:d:285235
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    References listed on IDEAS

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    Cited by:

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    4. M. Chávez-Modena & J. L. Martínez & J. A. Cabello & E. Ferrer, 2020. "Simulations of Aerodynamic Separated Flows Using the Lattice Boltzmann Solver XFlow," Energies, MDPI, vol. 13(19), pages 1-22, October.
    5. Posa, Antonio, 2022. "Wake characterization of paired cross-flow turbines," Renewable Energy, Elsevier, vol. 196(C), pages 1064-1094.
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    7. Li, Gang & Zhu, Weidong, 2023. "Tidal current energy harvesting technologies: A review of current status and life cycle assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    8. Elie, B. & Oger, G. & Vittoz, L. & Le Touzé, D., 2022. "Simulation of two in-line wind turbines using an incompressible Finite Volume solver coupled with a Blade Element Model," Renewable Energy, Elsevier, vol. 187(C), pages 81-93.
    9. Zheng Yuan & Jin Jiang & Jun Zang & Qihu Sheng & Ke Sun & Xuewei Zhang & Renwei Ji, 2020. "A Fast Two-Dimensional Numerical Method for the Wake Simulation of a Vertical Axis Wind Turbine," Energies, MDPI, vol. 14(1), pages 1-21, December.
    10. Mickael Grondeau & Sylvain S. Guillou & Jean Charles Poirier & Philippe Mercier & Emmnuel Poizot & Yann Méar, 2022. "Studying the Wake of a Tidal Turbine with an IBM-LBM Approach Using Realistic Inflow Conditions," Energies, MDPI, vol. 15(6), pages 1-34, March.
    11. Pierre-Luc Delafin & François Deniset & Jacques André Astolfi & Frédéric Hauville, 2021. "Performance Improvement of a Darrieus Tidal Turbine with Active Variable Pitch," Energies, MDPI, vol. 14(3), pages 1-18, January.

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