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An Actuator Surface Model to Simulate Vertical Axis Turbines

Author

Listed:
  • Lucy Massie

    (Department of Civil, Environmental and Geomatic Engineering, University College London, London WC1E 6BT, UK)

  • Pablo Ouro

    (Hydro-environmental Research Centre, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK)

  • Thorsten Stoesser

    (Department of Civil, Environmental and Geomatic Engineering, University College London, London WC1E 6BT, UK)

  • Qianyu Luo

    (Department of Civil, Environmental and Geomatic Engineering, University College London, London WC1E 6BT, UK)

Abstract

An actuator surface model (ASM) to be employed to simulate the effect of a vertical axis turbine on the hydrodynamics in its vicinity, particularly its wake is introduced. The advantage of the newly developed ASM is that it can represent the complex flow inside the vertical axis turbine’s perimeter reasonably well, and hence, is able to predict, with a satisfying degree of accuracy, the turbine’s near-wake, with a low computational cost. The ASM appears to overcome the inadequacy of actuator line models to account for the flow blockage of the rotor blades when they are on the up-stream side of the revolution, because the ASM uses a surface instead of a line to represent the blade. The ASM was used on a series of test cases to prove its validity, demonstrating that first order flow statistics—in our study, profiles of the stream-wise velocity—in the turbine’s vicinity, can be produced with reasonable accuracy. The prediction of second order statistics, here in the form of the turbulent kinetic energy (TKE), exhibited dependence on the chosen grid; the finer the grid, the better the match between measured and computed TKE profiles.

Suggested Citation

  • Lucy Massie & Pablo Ouro & Thorsten Stoesser & Qianyu Luo, 2019. "An Actuator Surface Model to Simulate Vertical Axis Turbines," Energies, MDPI, vol. 12(24), pages 1-16, December.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4741-:d:297210
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    References listed on IDEAS

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    1. Sina Shamsoddin & Fernando Porté-Agel, 2016. "A Large-Eddy Simulation Study of Vertical Axis Wind Turbine Wakes in the Atmospheric Boundary Layer," Energies, MDPI, vol. 9(5), pages 1-23, May.
    2. Ouro, Pablo & Runge, Stefan & Luo, Qianyu & Stoesser, Thorsten, 2019. "Three-dimensionality of the wake recovery behind a vertical axis turbine," Renewable Energy, Elsevier, vol. 133(C), pages 1066-1077.
    3. Bachant, Peter & Wosnik, Martin, 2015. "Performance measurements of cylindrical- and spherical-helical cross-flow marine hydrokinetic turbines, with estimates of exergy efficiency," Renewable Energy, Elsevier, vol. 74(C), pages 318-325.
    4. Maître, T. & Amet, E. & Pellone, C., 2013. "Modeling of the flow in a Darrieus water turbine: Wall grid refinement analysis and comparison with experiments," Renewable Energy, Elsevier, vol. 51(C), pages 497-512.
    5. Tescione, G. & Ragni, D. & He, C. & Simão Ferreira, C.J. & van Bussel, G.J.W., 2014. "Near wake flow analysis of a vertical axis wind turbine by stereoscopic particle image velocimetry," Renewable Energy, Elsevier, vol. 70(C), pages 47-61.
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    Cited by:

    1. Ruiwen Zhao & Angus C. W. Creech & Alistair G. L. Borthwick & Vengatesan Venugopal & Takafumi Nishino, 2020. "Aerodynamic Analysis of a Two-Bladed Vertical-Axis Wind Turbine Using a Coupled Unsteady RANS and Actuator Line Model," Energies, MDPI, vol. 13(4), pages 1-26, February.
    2. Posa, Antonio, 2022. "Wake characterization of paired cross-flow turbines," Renewable Energy, Elsevier, vol. 196(C), pages 1064-1094.
    3. Yang, Xiaolei & Milliren, Christopher & Kistner, Matt & Hogg, Christopher & Marr, Jeff & Shen, Lian & Sotiropoulos, Fotis, 2021. "High-fidelity simulations and field measurements for characterizing wind fields in a utility-scale wind farm," Applied Energy, Elsevier, vol. 281(C).
    4. 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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