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Numerical simulation of flatback airfoil aerodynamic noise

Author

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  • Kim, Taehyung
  • Jeon, Minu
  • Lee, Soogab
  • Shin, Hyungki

Abstract

The present paper presents a possible path for developing a large eddy simulation (LES) applicable to high Reynolds-number complex turbulent flows and the performance of the coupling of LES with statistical turbulence models around the flow over a blunt trailing edge configuration. The turbulent fluctuations in the boundary layers at the inflow region of the LES domain are generated by a synthesized turbulence method. The hybrid RANS-LES model showed considerable improvement in prediction accuracy even at a moderate grid resolution. The aerodynamic comparison with experimental data shows like results for the pressure distributions surrounding a flatback airfoil. To predict accurately the noise radiation from the blunt trailing edge and to save computational costs, the near-field region is computed by embedded LES while the surrounding region is simultaneously computed by RANS. The Brooks, Pope, and Marcolini (BPM) semi-empirical model is used for noise comparison with the hybrid RANS-LES result and experimental data. The present hybrid RANS-LES method is found to be adequate for predicting aerodynamic noise generation by vortical flow in the vicinity of a blunt trailing edge airfoil over a range of frequencies.

Suggested Citation

  • Kim, Taehyung & Jeon, Minu & Lee, Soogab & Shin, Hyungki, 2014. "Numerical simulation of flatback airfoil aerodynamic noise," Renewable Energy, Elsevier, vol. 65(C), pages 192-201.
    • Handle: RePEc:eee:renene:v:65:y:2014:i:c:p:192-201
    DOI: 10.1016/j.renene.2013.08.036
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    Cited by:

    1. Hongpeng, Liu & Yu, Wang & Rujing, Yan & Peng, Xu & Qing, Wang, 2020. "Influence of the modification of asymmetric trailing-edge thickness on the aerodynamic performance of a wind turbine airfoil," Renewable Energy, Elsevier, vol. 147(P1), pages 1623-1631.
    2. Thé, Jesse & Yu, Hesheng, 2017. "A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods," Energy, Elsevier, vol. 138(C), pages 257-289.
    3. Solís-Gallego, I. & Meana-Fernández, A. & Fernández Oro, J.M. & Argüelles Díaz, K.M. & Velarde-Suárez, S., 2018. "LES-based numerical prediction of the trailing edge noise in a small wind turbine airfoil at different angles of attack," Renewable Energy, Elsevier, vol. 120(C), pages 241-254.
    4. Liu, W.Y., 2017. "A review on wind turbine noise mechanism and de-noising techniques," Renewable Energy, Elsevier, vol. 108(C), pages 311-320.
    5. Hyungki Shin & Hogeon Kim & Taehyung Kim & Soo-Hyun Kim & Soogab Lee & Young-Jin Baik & Gilbong Lee, 2017. "Numerical Analysis of Flatback Trailing Edge Airfoil to Reduce Noise in Power Generation Cycle," Energies, MDPI, vol. 10(7), pages 1-22, June.

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