A Wind Tunnel Experimental Study on the Wake Characteristics of a Horizontal Axis Wind Turbine

  • GUO Xingduo ,
  • LI Yinran ,
  • LI Rennian ,
  • MA Yulong ,
  • WEI Kui
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  • 1. College of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China 
    2. Key Laboratory of Fluid Machinery and Systems, Lanzhou 730050, China
    3. Gansu Provincial Technology Centre for Wind Turbines, Lanzhou 730050, China

Online published: 2025-01-09

Supported by

This work was supported by Incubation Program of Excellent Doctoral Dissertation-Lanzhou University of Technology, Gansu Science and Technology Program (22JR5RA231), Industrial Support Program for Colleges and Universities of Gansu Province (2022CYZC-27), National Natural Science Foundation of China (52466015). We also would like to thank all those who have reviewed and contributed to this paper for their valuable assistance.

Copyright

Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2024

Abstract

The characteristics of wind turbine wakes are influenced by multiple factors, including the atmospheric boundary layer (ABL) wind and wind turbine operating conditions (e.g., tip speed ratio and yaw angle). In this study, two types of ABL winds with different velocity gradients and turbulence intensities are generated in a wind tunnel through configurations of spires, baffles, and various numbers of roughness elements. A wind turbine with a rotor diameter of 0.8 m and a hub height of 0.6 m is tested under varying tip speed ratios, yaw angles, and ABL wind conditions. The results indicate that the streamwise velocity deficit in the near-wake region becomes more pronounced with an increase in the tip speed ratio, while the far-wake velocity deficit remains largely unaffected by changes in the tip speed ratio. As the yaw angle increases, the wake deflection becomes more prominent and the wake narrows; the offset of the wake center at various downstream positions grows linearly, reaching a maximum value of approximately half the rotor diameter. Furthermore, the turbulence level and influence range in the wake region are reduced when the turbine is yawed. Under ABL wind conditions, high turbulence intensity in the incoming flow accelerates wake recovery, and the Reynolds stress at different lateral positions tends to become consistent with increasing longitudinal distance. Additionally, turbulence has a significant impact on the meandering characteristics of the wind turbine wake, with greater fluctuations in the wake center observed under higher turbulence intensities. Overall, this study provides insights that could inform the optimal operation of wind farms.

Cite this article

GUO Xingduo , LI Yinran , LI Rennian , MA Yulong , WEI Kui . A Wind Tunnel Experimental Study on the Wake Characteristics of a Horizontal Axis Wind Turbine[J]. Journal of Thermal Science, 2025 , 34(1) : 145 -158 . DOI: 10.1007/s11630-024-2074-1

References

[1] Ehyaei M.A., Ahmadi A., Rosen M.A., Energy, exergy, economic and advanced and extended exergy analyses of a wind turbine. Energy Conversion and Management, 2019, 183: 369–381.
[2] Bai J., Zhang L., Yang K., Zhao, D., Xu, J., Interactive effects of wind tunnel sidewalls on flow structures around 2D airfoil model. Journal of Thermal Science, 2023, 32(2): 708–717.
[3] Gwec., Global wind report 2024. Brussels: Global Wind Energy Council, 2024.
[4] Tian W., Ozbay A., Hu H., An experimental investigation on the wake interferences among wind turbines sited in aligned and staggered wind farms. Wind Energy, 2018, 21(2): 100–111.
[5] Shakoor R., Hassan M.Y., Raheem A., Wu Y.K., Wake effect modeling: A review of wind farm layout optimization using Jense’s model. Renewable and Sustainable Energy Reviews, 2016, 58: 1048–1059. 
[6] Parada L., Herrera C., Flores P., Parada V., Wind farm layout optimization using a Gaussian-based wake model. Renewable Energy, 2017, 107: 531–541.
[7] Maeda T., Kamada Y., Shimizu K., Ogasawara T., Nakai A., Kasuya T., Effect of rotor aspect ratio and solidity on a straight-bladed vertical axis wind turbine in three-dimensional analysis by the panel method. Energy, 2017, 121: 1–9.
[8] Barthelmie R.J., Hansen K., Frandsen S.T., Rathmann O., Schepers J.G., Schlez W., Phillips J., Rados K.,  Zervos A., Politis E.S., Chaviaropoulos P.K., Modelling and measuring flow and wind turbine wakes in large wind farms offshore. Wind Energy: An International Journal for Progress and Applications in Wind Power Conversion Technology, 2009, 12(5): 431–444. 
[9] Vermeer L.J., Sørensen J.N., Crespo A., Wind turbine wake aerodynamics. Progress in Aerospace Sciences, 2003, 39(6–7): 467–510. 
[10] Chamorro L.P., Porté-Agel F., Effects of thermal stability and incoming boundary-layer flow characteristics on wind-turbine wakes: a wind-tunnel study. Boundary-Layer Meteorology, 2010, 136(3): 515–533. 
[11] Carper M.A., Porté-Agel F., Subfilter-scale fluxes over a surface roughness transition. Part I: Measured fluxes and energy transfer rates. Boundary-Layer Meteorology, 2008, 126: 157–179.
[12] Carper M.A., Porté-Agel F., Subfilter-scale fluxes over a surface roughness transition. Part II: A priori study of large-eddy simulation models. Boundary-Layer Meteorology, 2008, 127: 73–95.
[13] Bastankhah M., Porté-Agel F., A new miniature wind turbine for wind tunnel experiments. Part I: Design and performance. Energies, 2017, 10(7): 908. 
[14] Ozbay A., Tian W., Yang Z., An experimental investigation on the wake interference of multiple wind turbines in atmospheric boundary layer winds. AIAA Applied Aerodynamics Conference, 2006: 1877–1889.
[15] Liu S., Li Q., Lu B., He J., Analysis of NREL-5 MW wind turbine wake under varied incoming turbulence conditions. Renewable Energy, 2024, 224: 120136.
[16] Abkar M., Sharifi A., Porté-Agel F., Wake flow in a wind farm during a diurnal cycle. Journal of Turbulence, 2016, 17(4): 420–441.
[17] Gao X., Li L., Zhang S., Zhu X., Sun H., Yang H., Wang Y., Lu H., LiDAR-based observation and derivation of large-scale wind turbine’s wake expansion model downstream of a hill. Energy, 2022, 259: 125051.
[18] Zhang W., Markfort C.D., Porté-Agel F., Near-wake flow structure downwind of a wind turbine in a turbulent boundary layer. Experiments in Fluids, 2012, 52: 1219–1235. 
[19] Hu H., Yang Z., Sarkar P., Dynamic wind loads and wake characteristics of a wind turbine model in an atmospheric boundary layer wind. Experiments in Fluids, 2012, 52(5): 1277–1294. 
[20] Li D., Guo T., Li Y., Hu J., Zheng Z., Li Y., Di Y., Hu W., Li R., Interaction between the atmospheric boundary layer and a standalone wind turbine in Gansu—Part I: Field measurement. Science China Physics, Mechanics & Astronomy, 2018, 61: 1–14.
[21] Espana G., Aubrun S., Loyer S., Devinant P., Spatial study of the wake meandering using modelled wind turbines in a wind tunnel. Wind Energy, 2011, 14(7): 923–937.
[22] Espana G., Aubrun S., Loyer S., Devinant P., Wind tunnel study of the wake meandering downstream of a modelled wind turbine as an effect of large scale turbulent eddies. Journal of Wind Engineering and Industrial Aerodynamics, 2012, 101: 24–33.
[23] Muller Y.A., Masson C., Aubrun S., Turbulent large-scale structure effects on wake meandering. Journal of Physics: Conference Series. IOP Publishing, 2015, 625(1): 012038.
[24] Frandsen S., Barthelmie R., Pryor S., Rathmann O., Larsen S., Højstrup J., Thøgersen M., Analytical modelling of wind speed deficit in large offshore wind farm. Wind Energy: An International Journal for Progress and Applications in Wind Power Conversion Technology, 2006, 9(1–2): 39–53.
[25] Mo J.O., Choudhry A., Arjomandi M., Kelso R., Lee Y.H., Effects of wind speed changes on wake instability of a wind turbine in a virtual wind tunnel using large eddy simulation. Journal of Wind Engineering and Industrial Aerodynamics, 2013, 117: 38–56.
[26] Mo J.O., Choudhry A., Arjomandi M., Lee Y.H., Large eddy simulation of the wind turbine wake characteristics in the numerical wind tunnel model. Journal of Wind Engineering and Industrial Aerodynamics, 2013, 112: 11–24.
[27] Abraham A., Hong J., Operational-dependent wind turbine wake impact on surface momentum flux. Renewable and Sustainable Energy Reviews, 2021, 144: 111021.
[28] Parkin P., Holm R., Medici D., The application of PIV to the wake of a wind turbine in yaw. Particle Image Velocimetry, Gottingen, 2001: 155–162.
[29] Guo T., Guo X., Gao Z., Li S., Zheng X., Gao X., Li R., Wang T., Li Y., Li D., Nacelle and tower effect on a stand-alone wind turbine energy output—A discussion on field measurements of a small wind turbine. Applied Energy, 2021, 303: 117590.
[30] Krogstad P.Å., Adaramola M.S., Performance and near wake measurements of a model horizontal axis wind turbine. Wind Energy, 2012, 15(5): 743–756.
[31] Wang T., Cai C., Wang X., Chen Y., Hou C., Zhou S., Xu J., Zhang Y., Li Q., Evolution mechanism of wind turbine wake structure in yawed condition by actuator line method and theoretical analysis. Energy Conversion and Management, 2023, 281: 116852.
[32] Sørensen N.N., Bechmann A., Réthoré P-E., Zahle F., Near wake Reynolds-averaged Navier-Stokes predictions of the wake behind the MEXICO rotor in axial and yawed flow conditions. Wind Energy, 2014, 17(1): 75–86.
[33] Qian Y., Zhang Z., Wang T., Comparative study of the aerodynamic performance of the new MEXICO rotor under yaw conditions. Energies, 2018, 11(4): 833–851.
[34] Shibuya K., Uchida T., Wake asymmetry of yaw state wind turbines induced by interference with wind towers. Energy, 2023, 280: 128091.
[35] Dou B., Guala M., Lei L., Zeng P., Wake model for horizontal-axis wind and hydrokinetic turbines in yawed conditions. Applied Energy, 2019, 242: 1383–1395.
[36] Munters W., Meyers J., Optimal dynamic induction and yaw control of wind farms: effects of turbine spacing and layout. Journal of Physics: Conference Series. IOP Publishing, 2018, 1037(3): 032015.
[37] Li Q., Kamada Y., Maeda T., Hiromori Y., Investigation of wake characteristic of a 30 kW rated power Horizontal Axis Wind Turbine with wake model and field measurement. Applied Energy, 2018, 225: 1190–1204.
[38] Burton T., Jenkins N., Sharpe D., Bossanyi E., Wind energy handbook. John Wiley & Sons, 2011.
[39] Mehta D., Van Zuijlen A.H., Koren B., Holierhoek J.G., Bijl H., Large eddy simulation of wind farm aerodynamics: A review. Journal of Wind Engineering and Industrial Aerodynamics, 2014, 133: 1–17.
[40] Kumer V.M., Reuder J., Oftedal Eikill R., Characterization of turbulence in wind turbine wakes under different stability conditions from static Doppler LiDAR measurements. Remote Sensing, 2017, 9(3): 242.
[41] Gebraad P.M., Teeuwisse F.W., Wingerden J.W., Fleming P.A., Ruben S.D., Marden J.R., Pao L.Y., A data-driven model for wind plant power optimization by yaw control. American Control Conference IEEE, 2014, pp. 3128–3134.
[42] Murata J., Endo M., Maeda T., Kamada Y., Experimental and numerical investigation of the effect of turbulent inflow on a horizontal axis wind turbine (part II: Wake characteristics). Energy, 2016, 113: 1304–1315.

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