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Distributed roughness induced transition on wind-turbine airfoils simulated by four-equation k-ω-γ-Ar transition model

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  • Yang, Muchen
  • Xiao, Zhixiang

Abstract

The fourth transport equation for “roughness amplification” factor Ar, which depends on equivalent sand grain roughness height ks, has been combined with the original three-equation k-ω-γ transition model. According to linear stability theory, the effective length scale of original k-ω-γ model is amplified through Ar, which could enhance the 1st mode time scale and lead to earlier transition. The new model is calibrated and validated by several cases with available experimental data, including flat plate, some wind-turbine airfoils with different patterns of distributed surface roughness. After careful comparisons with the measurements, the new four-equation transition model performs very well and satisfactory results have been achieved.

Suggested Citation

  • Yang, Muchen & Xiao, Zhixiang, 2019. "Distributed roughness induced transition on wind-turbine airfoils simulated by four-equation k-ω-γ-Ar transition model," Renewable Energy, Elsevier, vol. 135(C), pages 1166-1177.
    • Handle: RePEc:eee:renene:v:135:y:2019:i:c:p:1166-1177
    DOI: 10.1016/j.renene.2018.12.091
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    References listed on IDEAS

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    Cited by:

    1. Cui, Wenyao & Xiao, Zhixiang & Yuan, Xiangjiang, 2020. "Simulations of transition and separation past a wind-turbine airfoil near stall," Energy, Elsevier, vol. 205(C).
    2. Yang, Muchen & Xiao, Zhixiang, 2020. "Parameter uncertainty quantification for a four-equation transition model using a data assimilation approach," Renewable Energy, Elsevier, vol. 158(C), pages 215-226.

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