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A study on stall-delay for horizontal axis wind turbine

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  • Hu, Danmei
  • Hua, Ouyang
  • Du, Zhaohui

Abstract

The study on the stall-delay phenomenon for horizontal axis wind turbine (HAWT) was carried out by employing the boundary layer analysis, the numerical simulation and the experimental measurement. The effects of rotation on blade boundary layers are investigated by solving the 3D integral boundary layer equations with assumed velocity profiles. It is shown that rotation has a generally beneficial effect in delaying separation compared with that under 2D stationary condition. Next, the detailed flow fields are simulated on the conditions of 2D stationary and 3D rotation by CFD code. The computation results show that rotation affects the pressure distribution on the surface of the foil, which can give rise to 3D stall-delay in stalled condition HAWT. Finally, the flow fields behind a model HAWT are measured with a hot-wire probe in the wind tunnel. The results show good agreement with those from 3D computation calculations, suggesting that the stall-delay should be taken into consideration, in order to accurately predict the loading and performance of a HAWT operating in stall.

Suggested Citation

  • Hu, Danmei & Hua, Ouyang & Du, Zhaohui, 2006. "A study on stall-delay for horizontal axis wind turbine," Renewable Energy, Elsevier, vol. 31(6), pages 821-836.
    • Handle: RePEc:eee:renene:v:31:y:2006:i:6:p:821-836
    DOI: 10.1016/j.renene.2005.05.002
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    References listed on IDEAS

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    1. Du, Zhaohui & Selig, M.S, 2000. "The effect of rotation on the boundary layer of a wind turbine blade," Renewable Energy, Elsevier, vol. 20(2), pages 167-181.
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    Cited by:

    1. 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.
    2. Li, Qing'an & Kamada, Yasunari & Maeda, Takao & Murata, Junsuke & Nishida, Yusuke, 2016. "Effect of turbulent inflows on airfoil performance for a Horizontal Axis Wind Turbine at low Reynolds numbers (Part II: Dynamic pressure measurement)," Energy, Elsevier, vol. 112(C), pages 574-587.
    3. Li, Qing'an & Xu, Jianzhong & Maeda, Takao & Kamada, Yasunari & Nishimura, Shogo & Wu, Guangxing & Cai, Chang, 2019. "Laser Doppler Velocimetry (LDV) measurements of airfoil surface flow on a Horizontal Axis Wind Turbine in boundary layer," Energy, Elsevier, vol. 183(C), pages 341-357.
    4. Sutrisno . & Deendarlianto . & Indarto . & Sigit Iswahyudi & Muhammad Bramantya & Setyawan Wibowo, 2017. "Performances and Stall Delays of Three Dimensional Wind Turbine Blade Plate-Models with Helicopter-Like Propeller Blade Tips," Modern Applied Science, Canadian Center of Science and Education, vol. 11(10), pages 189-189, October.
    5. Herbert, G.M. Joselin & Iniyan, S. & Goic, Ranko, 2010. "Performance, reliability and failure analysis of wind farm in a developing Country," Renewable Energy, Elsevier, vol. 35(12), pages 2739-2751.
    6. Syed Ahmed Kabir, Ijaz Fazil & Ng, E.Y.K., 2017. "Insight into stall delay and computation of 3D sectional aerofoil characteristics of NREL phase VI wind turbine using inverse BEM and improvement in BEM analysis accounting for stall delay effect," Energy, Elsevier, vol. 120(C), pages 518-536.
    7. Lanzafame, R. & Messina, M., 2012. "BEM theory: How to take into account the radial flow inside of a 1-D numerical code," Renewable Energy, Elsevier, vol. 39(1), pages 440-446.
    8. Riyadh Belamadi & Abdelhakim Settar & Khaled Chetehouna & Adrian Ilinca, 2022. "Numerical Modeling of Horizontal Axis Wind Turbine: Aerodynamic Performances Improvement Using an Efficient Passive Flow Control System," Energies, MDPI, vol. 15(13), pages 1-21, July.
    9. Shafiqur Rehman & Md. Mahbub Alam & Luai M. Alhems & M. Mujahid Rafique, 2018. "Horizontal Axis Wind Turbine Blade Design Methodologies for Efficiency Enhancement—A Review," Energies, MDPI, vol. 11(3), pages 1-34, February.
    10. Li, Qing’an & Xu, Jianzhong & Kamada, Yasunari & Takao, Maeda & Nishimura, Shogo & Wu, Guangxing & Cai, Chang, 2020. "Experimental investigations of airfoil surface flow of a horizontal axis wind turbine with LDV measurements," Energy, Elsevier, vol. 191(C).
    11. Lanzafame, R. & Messina, M., 2013. "Advanced brake state model and aerodynamic post-stall model for horizontal axis wind turbines," Renewable Energy, Elsevier, vol. 50(C), pages 415-420.
    12. Sutrisno & Sigit Iswahyudi & Setyawan Bekti Wibowo, 2018. "Dimensional Analysis of Power Prediction of a Real-Scale Wind Turbine Based on Wind-Tunnel Torque Measurement of Small-Scaled Models," Energies, MDPI, vol. 11(9), pages 1-13, September.
    13. Elgammi, Moutaz & Sant, Tonio & Alshaikh, Moftah, 2020. "Predicting the stochastic aerodynamic loads on blades of two yawed downwind hawts in uncontrolled conditions using a bem algorithm," Renewable Energy, Elsevier, vol. 146(C), pages 371-383.

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