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Effects of turbulence modelling in AD/RANS simulations of single wind & tidal turbine wakes and double wake interactions

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  • Tian, Linlin
  • Song, Yilei
  • Zhao, Ning
  • Shen, Wenzhong
  • Zhu, Chunling
  • Wang, Tongguang

Abstract

A comparative analysis of the RANS-based generalized actuator disc method (AD/RANS) with different turbulence models for simulating single wind & tidal turbine wakes and double wake interactions is performed. The tested turbulence models include the Realizable k-ε, SST k-ω, Linear Reynolds-stress (RSM) and two proposed RSM models with modified closure constants. The evaluation is based on comparing their results against five sets of published experimental data for various types of turbines operating under a wide range of inflow conditions. Special emphasis is put on both horizontal and vertical distributions of velocity deficit and turbulence intensity throughout the whole wake region. The results identify that the wake flow prediction is particularly sensitive to the turbulence model implemented, with a maximum difference reaching up to 40%. Overall, the proposed Mod2 RSM model (along with a new derivation of turbulence intensity) is recommended as a robust choice for capturing wake behaviors, in both near and far field from the turbine. Additionally, the weaknesses and strengths of other models are discussed, aiming to give a guideline for choosing the right model for the right job as well as to provide a reference study about the accuracy improvement of wake predictions.

Suggested Citation

  • Tian, Linlin & Song, Yilei & Zhao, Ning & Shen, Wenzhong & Zhu, Chunling & Wang, Tongguang, 2020. "Effects of turbulence modelling in AD/RANS simulations of single wind & tidal turbine wakes and double wake interactions," Energy, Elsevier, vol. 208(C).
    • Handle: RePEc:eee:energy:v:208:y:2020:i:c:s0360544220315486
    DOI: 10.1016/j.energy.2020.118440
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    1. Shives, Michael & Crawford, Curran, 2016. "Adapted two-equation turbulence closures for actuator disk RANS simulations of wind & tidal turbine wakes," Renewable Energy, Elsevier, vol. 92(C), pages 273-292.
    2. Ian Masters & Alison Williams & T. Nick Croft & Michael Togneri & Matt Edmunds & Enayatollah Zangiabadi & Iain Fairley & Harshinie Karunarathna, 2015. "A Comparison of Numerical Modelling Techniques for Tidal Stream Turbine Analysis," Energies, MDPI, vol. 8(8), pages 1-21, July.
    3. Stevens, Richard J.A.M. & Martínez-Tossas, Luis A. & Meneveau, Charles, 2018. "Comparison of wind farm large eddy simulations using actuator disk and actuator line models with wind tunnel experiments," Renewable Energy, Elsevier, vol. 116(PA), pages 470-478.
    4. Guo-Wei Qian & Takeshi Ishihara, 2018. "A New Analytical Wake Model for Yawed Wind Turbines," Energies, MDPI, vol. 11(3), pages 1-24, March.
    5. Rocha, P.A. Costa & Rocha, H.H. Barbosa & Carneiro, F.O. Moura & Vieira da Silva, M.E. & Bueno, A. Valente, 2014. "k–ω SST (shear stress transport) turbulence model calibration: A case study on a small scale horizontal axis wind turbine," Energy, Elsevier, vol. 65(C), pages 412-418.
    6. Nguyen, Van Thinh & Guillou, Sylvain S. & Thiébot, Jérôme & Santa Cruz, Alina, 2016. "Modelling turbulence with an Actuator Disk representing a tidal turbine," Renewable Energy, Elsevier, vol. 97(C), pages 625-635.
    7. Huilai Ren & Xiaodong Zhang & Shun Kang & Sichao Liang, 2018. "Actuator Disc Approach of Wind Turbine Wake Simulation Considering Balance of Turbulence Kinetic Energy," Energies, MDPI, vol. 12(1), pages 1-19, December.
    8. Jeon, Sanghyeon & Kim, Bumsuk & Huh, Jongchul, 2015. "Comparison and verification of wake models in an onshore wind farm considering single wake condition of the 2 MW wind turbine," Energy, Elsevier, vol. 93(P2), pages 1769-1777.
    9. Castellani, Francesco & Vignaroli, Andrea, 2013. "An application of the actuator disc model for wind turbine wakes calculations," Applied Energy, Elsevier, vol. 101(C), pages 432-440.
    10. Linlin Tian & Yilei Song & Ning Zhao & Wenzhong Shen & Tongguang Wang, 2019. "AD/RANS Simulations of Wind Turbine Wake Flow Employing the RSM Turbulence Model: Impact of Isotropic and Anisotropic Inflow Conditions," Energies, MDPI, vol. 12(21), pages 1-14, October.
    11. Bai, Guanghui & Li, Jun & Fan, Pengfei & Li, Guojun, 2013. "Numerical investigations of the effects of different arrays on power extractions of horizontal axis tidal current turbines," Renewable Energy, Elsevier, vol. 53(C), pages 180-186.
    12. Rezaeiha, Abdolrahim & Montazeri, Hamid & Blocken, Bert, 2019. "On the accuracy of turbulence models for CFD simulations of vertical axis wind turbines," Energy, Elsevier, vol. 180(C), pages 838-857.
    13. Abdulqadir, Sherwan A. & Iacovides, Hector & Nasser, Adel, 2017. "The physical modelling and aerodynamics of turbulent flows around horizontal axis wind turbines," Energy, Elsevier, vol. 119(C), pages 767-799.
    14. Jianxiao Hu & Qingshan Yang & Jian Zhang, 2016. "Study on the Wake of a Miniature Wind Turbine Using the Reynolds Stress Model," Energies, MDPI, vol. 9(10), pages 1-18, September.
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    8. Hamlaoui, M.N. & Smaili, A. & Dobrev, I. & Pereira, M. & Fellouah, H. & Khelladi, S., 2022. "Numerical and experimental investigations of HAWT near wake predictions using Particle Image Velocimetry and Actuator Disk Method," Energy, Elsevier, vol. 238(PB).

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