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Validation of the actuator line method for simulating flow through a horizontal axis tidal stream turbine by comparison with measurements

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  • Baba-Ahmadi, Mohammad H.
  • Dong, Ping

Abstract

The purpose of the present work is to evaluate the capability of the Actuator Line Method (ALM) to simulate flow through a horizontal axis tidal stream turbine. A numerical model combining the ALM with large eddy simulation technique is developed and applied to compute the flow past a laboratory-scale tidal stream turbine. The flow field is analysed in terms of streamwise mean velocity, turbulence intensity, turbulent kinetic energy and the decay rate of the maximum turbulent kinetic energy behind the turbine. It is found that the ALM performs well in predicting the mean flow and turbulence characteristics behind the turbine. The flow field predicted show a clear transition from an organised vorticity region near the turbine to a highly turbulent flow downstream. The location of this transition and the controlling parameters are discussed but further investigation, both numerical and experimental is required in order to clarify its effects on the flow structure and the performance of downstream turbines in tidal turbine arrays.

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  • Baba-Ahmadi, Mohammad H. & Dong, Ping, 2017. "Validation of the actuator line method for simulating flow through a horizontal axis tidal stream turbine by comparison with measurements," Renewable Energy, Elsevier, vol. 113(C), pages 420-427.
    • Handle: RePEc:eee:renene:v:113:y:2017:i:c:p:420-427
    DOI: 10.1016/j.renene.2017.05.060
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    References listed on IDEAS

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    Cited by:

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    3. Ahmadi, Mohammad H.B. & Yang, Zhiyin, 2020. "The evolution of turbulence characteristics in the wake of a horizontal axis tidal stream turbine," Renewable Energy, Elsevier, vol. 151(C), pages 1008-1015.
    4. Arabgolarcheh, Alireza & Rouhollahi, Amirhossein & Benini, Ernesto, 2023. "Analysis of middle-to-far wake behind floating offshore wind turbines in the presence of multiple platform motions," Renewable Energy, Elsevier, vol. 208(C), pages 546-560.
    5. El Fajri, Oumnia & Bowman, Joshua & Bhushan, Shanti & Thompson, David & O'Doherty, Tim, 2022. "Numerical study of the effect of tip-speed ratio on hydrokinetic turbine wake recovery," Renewable Energy, Elsevier, vol. 182(C), pages 725-750.
    6. Ahmadi, Mohammad H.B. & Yang, Zhiyin, 2020. "Numerical study of the coupling between the instantaneous blade loading/power of an axial wind turbine and upstream turbulence at high Reynolds numbers," Energy, Elsevier, vol. 207(C).
    7. Yang, Zhixue & Ren, Zhouyang & Li, Hui & Pan, Zhen & Xia, Weiyi, 2024. "A review of tidal current power generation farm planning: Methodologies, characteristics and challenges," Renewable Energy, Elsevier, vol. 220(C).
    8. Baba-Ahmadi, Mohammad H. & Dong, Ping, 2017. "Numerical simulations of wake characteristics of a horizontal axis tidal stream turbine using actuator line model," Renewable Energy, Elsevier, vol. 113(C), pages 669-678.
    9. Ahmadi, Mohammad H.B. & Yang, Zhiyin, 2021. "On wind turbine power fluctuations induced by large-scale motions," Applied Energy, Elsevier, vol. 293(C).
    10. Ahmadi, Mohammad H.B., 2019. "Influence of upstream turbulence on the wake characteristics of a tidal stream turbine," Renewable Energy, Elsevier, vol. 132(C), pages 989-997.
    11. Arabgolarcheh, Alireza & Jannesarahmadi, Sahar & Benini, Ernesto, 2022. "Modeling of near wake characteristics in floating offshore wind turbines using an actuator line method," Renewable Energy, Elsevier, vol. 185(C), pages 871-887.

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