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Low Reynolds number effects on aerodynamic loads of a small scale wind turbine

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  • Lee, Hakjin
  • Lee, Duck-Joo

Abstract

Small-scale or scaled-down wind turbines for model experiments mostly operate in low-Reynolds-number flow. The nonlinear variations of aerodynamic coefficients with respect to the angle of attack caused by viscous effects and laminar boundary layer separation affect the wind turbine performance under these conditions. Although the vortex lattice method (VLM) is an efficient way to predict rotor performance, it tends to suffer from numerical error because nonlinear aerodynamic characteristics cannot be considered. In this study, the nonlinear vortex lattice method (NVLM) is adopted to compute the aerodynamic loads of two small-scale wind turbines. This method involves a sectional airfoil look-up table and vortex strength correction and can be applied to a wide range of operating conditions. The simulations of TU Delft and NTNU wind turbines are conducted to validate the prediction capability of numerical models by comparing predictions with the measurements. It was found that the overall results from the NVLM simulation are more accurate than the VLM results, which implies that the nonlinear aerodynamic characteristics associated with low-Reynolds-number flow should be considered to accurately assess the aerodynamic performance of small-sized wind-turbines, particularly at the low tip speed ratio at which the rotor blade may experience flow separation and dynamic stall.

Suggested Citation

  • Lee, Hakjin & Lee, Duck-Joo, 2020. "Low Reynolds number effects on aerodynamic loads of a small scale wind turbine," Renewable Energy, Elsevier, vol. 154(C), pages 1283-1293.
  • Handle: RePEc:eee:renene:v:154:y:2020:i:c:p:1283-1293
    DOI: 10.1016/j.renene.2020.03.097
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    References listed on IDEAS

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    1. 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.
    2. Kyoungsoo Lee & Shrabanti Roy & Ziaul Huque & Raghava Kommalapati & SangEul Han, 2017. "Effect on Torque and Thrust of the Pointed Tip Shape of a Wind Turbine Blade," Energies, MDPI, vol. 10(1), pages 1-20, January.
    3. Lee, Hakjin & Lee, Duck-Joo, 2019. "Wake impact on aerodynamic characteristics of horizontal axis wind turbine under yawed flow conditions," Renewable Energy, Elsevier, vol. 136(C), pages 383-392.
    4. Lee, Hakjin & Lee, Duck-Joo, 2019. "Effects of platform motions on aerodynamic performance and unsteady wake evolution of a floating offshore wind turbine," Renewable Energy, Elsevier, vol. 143(C), pages 9-23.
    5. Pierella, Fabio & Krogstad, Per-Åge & Sætran, Lars, 2014. "Blind Test 2 calculations for two in-line model wind turbines where the downstream turbine operates at various rotational speeds," Renewable Energy, Elsevier, vol. 70(C), pages 62-77.
    6. Krogstad, Per-Åge & Eriksen, Pål Egil, 2013. "“Blind test” calculations of the performance and wake development for a model wind turbine," Renewable Energy, Elsevier, vol. 50(C), pages 325-333.
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    Cited by:

    1. Bourhis, M. & Pereira, M. & Ravelet, F., 2023. "Experimental investigation of the effects of the Reynolds number on the performance and near wake of a wind turbine," Renewable Energy, Elsevier, vol. 209(C), pages 63-70.
    2. José R. Dorrego & Armando Ríos & Quetzalcoatl Hernandez-Escobedo & Rafael Campos-Amezcua & Reynaldo Iracheta & Orlando Lastres & Pascual López & Antonio Verde & Liliana Hechavarria & Miguel-Angel Pere, 2021. "Theoretical and Experimental Analysis of Aerodynamic Noise in Small Wind Turbines," Energies, MDPI, vol. 14(3), pages 1-21, January.
    3. Subbulakshmi, A. & Verma, Mohit & Keerthana, M. & Sasmal, Saptarshi & Harikrishna, P. & Kapuria, Santosh, 2022. "Recent advances in experimental and numerical methods for dynamic analysis of floating offshore wind turbines — An integrated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).

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