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Unsteady numerical investigation of the full geometry of a horizontal axis wind turbine: Flow through the rotor and wake

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  • Regodeseves, P. García
  • Morros, C. Santolaria

Abstract

Aerodynamics of the Mexico wind turbine was investigated using CFD techniques. The complete wind turbine was modelled. In order to accomplish this goal, the computational domain was discretized with a multi-block structured hexahedron grid, which was generated manually to ensure a good quality mesh and optimize the number of cells. Furthermore, a sliding mesh technique was applied to the moving mesh zone to calculate in detail the flow around the blades. All the relevant operating conditions were considered: turbulent wake state, nominal condition and stall state. The simulations were performed using the unsteady Reynolds-Averaged Navier-Stokes equations for incompressible flow and the SST k-ω turbulence model to close the governing equations. The CFD predictions were compared with the experimental data available from the MEXICO experiment: global forces and torques, pressure distributions around the blades and velocity distributions along the radial and axial traverses were all in a good agreement. The flow through the rotor, the interaction between the blades and the tower, and the development of the wake were then investigated. The CFD simulations have provided more accurate results, contributing to a deeper understanding of the wind turbine aerodynamics.

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  • 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).
    • Handle: RePEc:eee:energy:v:202:y:2020:i:c:s0360544220307817
    DOI: 10.1016/j.energy.2020.117674
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    References listed on IDEAS

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    Cited by:

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    5. Wang, Peilin & Liu, Qingsong & Li, Chun & Miao, Weipao & Yue, Minnan & Xu, Zifei, 2022. "Investigation of the aerodynamic characteristics of horizontal axis wind turbine using an active flow control method via boundary layer suction," Renewable Energy, Elsevier, vol. 198(C), pages 1032-1048.
    6. 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.
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    8. Shahzad Ali, Qazi & Kim, Man-Hoe, 2022. "Quantifying impacts of shell augmentation on power output of airborne wind energy system at elevated heights," Energy, Elsevier, vol. 239(PA).
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    10. Monjardín-Gámez, José de Jesús & Campos-Amezcua, Rafael & Gómez-Martínez, Roberto & Sánchez-García, Raúl & Campos-Amezcua, Alfonso & Trujillo-Franco, Luis G. & Abundis-Fong, Hugo F., 2023. "Large eddy simulation and experimental study of the turbulence on wind turbines," Energy, Elsevier, vol. 273(C).
    11. Regodeseves, P. García & Morros, C. Santolaria, 2024. "Development and assessment of an actuator volume method in rotating frame for predicting the flow-field of horizontal-axis wind turbines," Energy, Elsevier, vol. 293(C).
    12. Shantanu Purohit & Ijaz Fazil Syed Ahmed Kabir & E. Y. K. Ng, 2021. "On the Accuracy of uRANS and LES-Based CFD Modeling Approaches for Rotor and Wake Aerodynamics of the (New) MEXICO Wind Turbine Rotor Phase-III," Energies, MDPI, vol. 14(16), pages 1-26, August.
    13. Paxis Marques João Roque & Shyama Pada Chowdhury & Zhongjie Huan, 2021. "Performance Enhancement of Proposed Namaacha Wind Farm by Minimising Losses Due to the Wake Effect: A Mozambican Case Study," Energies, MDPI, vol. 14(14), pages 1-22, July.
    14. Liu, Yaru & Wang, Lei & Ng, Bing Feng, 2024. "A hybrid model-data-driven framework for inverse load identification of interval structures based on physics-informed neural network and improved Kalman filter algorithm," Applied Energy, Elsevier, vol. 359(C).

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