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A Modified Reynolds-Averaged Navier–Stokes-Based Wind Turbine Wake Model Considering Correction Modules

Author

Listed:
  • Yuan Li

    (School of Science, Shenyang University of Technology, Shenyang 110870, China)

  • Zengjin Xu

    (School of Chemical Equipment, Shenyang University of Technology, Shenyang 110870, China)

  • Zuoxia Xing

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Bowen Zhou

    (College of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

  • Haoqian Cui

    (Fuxin Electric Power Supply Company, State Grid Liaoning Electric Power Co. Ltd., Fuxin 123000, China)

  • Bowen Liu

    (School of Science, Shenyang University of Technology, Shenyang 110870, China)

  • Bo Hu

    (State Grid Liaoning Electric Power Co. Ltd., Shenyang 110004, China)

Abstract

Increasing wind power generation has been introduced into power systems to meet the renewable energy targets in power generation. The output efficiency and output power stability are of great importance for wind turbines to be integrated into power systems. The wake effect influences the power generation efficiency and stability of wind turbines. However, few studies consider comprehensive corrections in an aerodynamic model and a turbulence model, which challenges the calculation accuracy of the velocity field and turbulence field in the wind turbine wake model, thus affecting wind power integration into power systems. To tackle this challenge, this paper proposes a modified Reynolds-averaged Navier–Stokes (MRANS)-based wind turbine wake model to simulate the wake effects. Our main aim is to add correction modules in a 3D aerodynamic model and a shear-stress transport (SST) k-ω turbulence model, which are converted into a volume source term and a Reynolds stress term for the MRANS-based wake model, respectively. A correction module including blade tip loss, hub loss, and attack angle deviation is considered in the 3D aerodynamic model, which is established by blade element momentum aerodynamic theory and an improved Cauchy fuzzy distribution. Meanwhile, another correction module, including a hold source term, regulating parameters and reducing the dissipation term, is added into the SST k - ω turbulence model. Furthermore, a structured hexahedron mesh with variable size is developed to significantly improve computational efficiency and make results smoother. Simulation results of the velocity field and turbulent field with the proposed approach are consistent with the data of real wind turbines, which verifies the effectiveness of the proposed approach. The variation law of the expansion effect and the double-hump effect are also given.

Suggested Citation

  • Yuan Li & Zengjin Xu & Zuoxia Xing & Bowen Zhou & Haoqian Cui & Bowen Liu & Bo Hu, 2020. "A Modified Reynolds-Averaged Navier–Stokes-Based Wind Turbine Wake Model Considering Correction Modules," Energies, MDPI, vol. 13(17), pages 1-19, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4430-:d:404912
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    References listed on IDEAS

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    1. Farhan, A. & Hassanpour, A. & Burns, A. & Motlagh, Y. Ghaffari, 2019. "Numerical study of effect of winglet planform and airfoil on a horizontal axis wind turbine performance," Renewable Energy, Elsevier, vol. 131(C), pages 1255-1273.
    2. Haixin Wang & Junyou Yang & Zhe Chen & Weichun Ge & Shiyan Hu & Yiming Ma & Yunlu Li & Guanfeng Zhang & Lijian Yang, 2018. "Gain Scheduled Torque Compensation of PMSG-Based Wind Turbine for Frequency Regulation in an Isolated Grid," Energies, MDPI, vol. 11(7), pages 1-19, June.
    3. Sedaghatizadeh, Nima & Arjomandi, Maziar & Kelso, Richard & Cazzolato, Benjamin & Ghayesh, Mergen H., 2019. "The effect of the boundary layer on the wake of a horizontal axis wind turbine," Energy, Elsevier, vol. 182(C), pages 1202-1221.
    4. Sarlak, H. & Meneveau, C. & Sørensen, J.N., 2015. "Role of subgrid-scale modeling in large eddy simulation of wind turbine wake interactions," Renewable Energy, Elsevier, vol. 77(C), pages 386-399.
    5. Seim, Fredrik & Gravdahl, Arne R. & Adaramola, Muyiwa S., 2017. "Validation of kinematic wind turbine wake models in complex terrain using actual windfarm production data," Energy, Elsevier, vol. 123(C), pages 742-753.
    6. Regodeseves, P. García & Morros, C. Santolaria, 2020. "Unsteady numerical investigation of the full geometry of a horizontal axis wind turbine: Flow through the rotor and wake," Energy, Elsevier, vol. 202(C).
    7. Arteaga-López, Ernesto & Ángeles-Camacho, Cesar & Bañuelos-Ruedas, Francisco, 2019. "Advanced methodology for feasibility studies on building-mounted wind turbines installation in urban environment: Applying CFD analysis," Energy, Elsevier, vol. 167(C), pages 181-188.
    8. Lee, Hakjin & Lee, Duck-Joo, 2019. "Numerical investigation of the aerodynamics and wake structures of horizontal axis wind turbines by using nonlinear vortex lattice method," Renewable Energy, Elsevier, vol. 132(C), pages 1121-1133.
    9. Tang, Di & Xu, Min & Mao, Jianfeng & Zhu, Hai, 2020. "Unsteady performances of a parked large-scale wind turbine in the typhoon activity zones," Renewable Energy, Elsevier, vol. 149(C), pages 617-630.
    10. Roggenburg, Michael & Esquivel-Puentes, Helber A. & Vacca, Andrea & Bocanegra Evans, Humberto & Garcia-Bravo, Jose M. & Warsinger, David M. & Ivantysynova, Monika & Castillo, Luciano, 2020. "Techno-economic analysis of a hydraulic transmission for floating offshore wind turbines," Renewable Energy, Elsevier, vol. 153(C), pages 1194-1204.
    11. Zhenzhou Shao & Ying Wu & Li Li & Shuang Han & Yongqian Liu, 2019. "Multiple Wind Turbine Wakes Modeling Considering the Faster Wake Recovery in Overlapped Wakes," Energies, MDPI, vol. 12(4), pages 1-14, February.
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    Cited by:

    1. Lasantha Meegahapola & Siqi Bu, 2021. "Special Issue: “Wind Power Integration into Power Systems: Stability and Control Aspects”," Energies, MDPI, vol. 14(12), pages 1-4, June.

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