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Numerical simulations of wake characteristics of a horizontal axis tidal stream turbine using actuator line model

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

Abstract

The wake of a laboratory scale tidal stream turbine in a shallow water channel with a turbulent inflow is simulated using the hybrid LES/ALM technique, which combines large eddy simulation with the actuator line method. The turbulent inlet conditions are generated using the mapping method to avoid a precursor running and large space for saving data. The numerical results demonstrated the usefulness of the mapping technique as well as some shortcomings that still remain to be addressed. Good agreement between numerical predictions and experimental data is achieved for both the mean and turbulent characteristics of the flow behind the turbine. The examination of changes in turbulence intensity and turbulent kinetic energy in the streamwise direction confirms the existence of a peak and transition to a highly turbulent flow about three diameters downstream of the turbine, which means that the distinct characteristics of the streamwise changes of turbulence intensity or turbulent kinetic energy may serve as an effective indicator for the flow regime transition and wake behaviour.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:renene:v:113:y:2017:i:c:p:669-678
    DOI: 10.1016/j.renene.2017.06.035
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    References listed on IDEAS

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    1. 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.
    2. Tedds, S.C. & Owen, I. & Poole, R.J., 2014. "Near-wake characteristics of a model horizontal axis tidal stream turbine," Renewable Energy, Elsevier, vol. 63(C), pages 222-235.
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    Cited by:

    1. Deng, Xu & Zhang, Jisheng & Lin, Xiangfeng, 2024. "Proposal of actuator line-immersed boundary coupling model for tidal stream turbine modeling with hydrodynamics upon scouring morphology," Energy, Elsevier, vol. 292(C).
    2. Chen, Yaling & Lin, Binliang & Sun, Jian & Guo, Jinxi & Wu, Wenlong, 2019. "Hydrodynamic effects of the ratio of rotor diameter to water depth: An experimental study," Renewable Energy, Elsevier, vol. 136(C), pages 331-341.
    3. 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).
    4. 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.
    5. Chen, Long & Yao, Yu & Wang, Zhi-liang, 2020. "Development and validation of a prediction model for the multi-wake of tidal stream turbines," Renewable Energy, Elsevier, vol. 155(C), pages 800-809.
    6. 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.
    7. Fei, Zhao & Tengyuan, Wang & Xiaoxia, Gao & Haiying, Sun & Hongxing, Yang & Zhonghe, Han & Yu, Wang & Xiaoxun, Zhu, 2020. "Experimental study on wake interactions and performance of the turbines with different rotor-diameters in adjacent area of large-scale wind farm," Energy, Elsevier, vol. 199(C).
    8. Hachmann, Christoph & Stallard, Tim & Stansby, Peter & Lin, Binliang, 2021. "Experimentally validated study of the impact of operating strategies on power efficiency of a turbine array in a bi-directional tidal channel," Renewable Energy, Elsevier, vol. 163(C), pages 1408-1426.
    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. 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.
    11. Ebdon, Tim & Allmark, Matthew J. & O’Doherty, Daphne M. & Mason-Jones, Allan & O’Doherty, Tim & Germain, Gregory & Gaurier, Benoit, 2021. "The impact of turbulence and turbine operating condition on the wakes of tidal turbines," Renewable Energy, Elsevier, vol. 165(P2), pages 96-116.

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