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Numerical Investigation and Wind Tunnel Validation on Near-Wake Vortical Structures of Wind Turbine Blades

Part of: Fluid mechanics Incompressible viscous fluids

Published online by Cambridge University Press:  27 May 2016

Zhenyu Zhang ,
Li Chen  and
Tongguang Wang
Zhenyu Zhang*
Affiliation:
Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design, Nanjing University of Aeronautics and Astronautics, Yudao Street 29, Nanjing 210016, China State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang 621000, China
Li Chen*
Affiliation:
State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang 621000, China
Tongguang Wang*
Affiliation:
Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design, Nanjing University of Aeronautics and Astronautics, Yudao Street 29, Nanjing 210016, China
*
*Corresponding author. Email:[email protected] (Z. Zhang), [email protected] (L. Chen), [email protected] (T. Wang)
*Corresponding author. Email:[email protected] (Z. Zhang), [email protected] (L. Chen), [email protected] (T. Wang)
*Corresponding author. Email:[email protected] (Z. Zhang), [email protected] (L. Chen), [email protected] (T. Wang)
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Abstract

Computational fluid dynamics (CFD) has been used by numerous researchers for the simulation of flows around wind turbines. Since the 2000s, the experiments of NREL phase VI blades for blind comparison have been a de-facto standard for numerical software on the prediction of full scale horizontal axis wind turbines (HAWT) performance. However, the characteristics of vortex structures in the wake, whether for modeling the wake or for understanding the aerodynamic mechanisms inside, are still not thoroughly investigated. In the present study, the flow around N-REL phase VI blades was numerically simulated, and the results of the wake field were compared with the experimental ones of a one-to-eight scaled model in a low-speed wind tunnel. A good agreement between simulation and experimental results was achieved for the evaluation of overall performances. The simulation captured the complete formation procedure of tip vortex structure from the blade. Quantitative analysis showed the streamwise translation movement of vortex cores. Both the initial formation and the damping of vorticity in near wake field were predicted. These numerical results showed good agreements with the measurements. Moreover, wind tunnel wall effects were also investigated on these vortex structures, and it revealed further radial expansion of the helical vortical structures in comparison with the free-stream case.

Keywords

Wind turbinenumerical simulationwind tunnel experimentvortex wake

MSC classification

Secondary: 76D17: Viscous vortex flows 76D25: Wakes and jets 76-05: Experimental work
Type
Research Article
Information
Advances in Applied Mathematics and Mechanics , Volume 8 , Issue 4 , August 2016 , pp. 556 - 572
Copyright
Copyright © Global-Science Press 2016 

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References

[1]Hand, M. M., Simms, D. A. and Fingersh, L. J.et al., Unsteady aerodynamics experiment phase VI: wind tunnel test configurations and available data campaigns, NREL/TP-500-29955, NREL, Golden, CO, 2001.Google Scholar
[2]Simms, D., Schreck, S., Hand, M. and Fingersh, L. J., NREL unsteady aerodynamics experiment in the NASA-Ames wind tunnel: a comparison of predictions to measurements, NREL/TP-500-29494, NREL, Golden, CO, 2001.CrossRefGoogle Scholar
[3]Glauert, H., Airplane Propellers, In Aerodynamic Theory, Durand, WF (ed.), Dover: New York, 1963.Google Scholar
[4]Coton, F. N., Wang, T. and Galbraith, RAMCD., An examination of key aerodynamic modelling issues raised by the NREL blind comparison, Wind Energy, 5 (2002), pp. 199–212.CrossRefGoogle Scholar
[5]Sorensen, N. N., Michelsen, J. and Schreck, S., Navier-Stokes predictions of the NREL phase VI rotor in the NASA Ames 80ft × 120ft wind tunnel, Wind Energy, 5 (2002), pp. 151–169.Google Scholar
[6]Duque, E., Burklund, M. and Johnson, W., Navier-Stokes and comprehensive analysis performance predictions of the NREL phase VI experiment, AIAA paper, (2003), 2003-0355.Google Scholar
[7]Johansen, J., Sørensen, N. N., Michelsen, J. A. and Schreck, S., Detached-Eddy Simulation of flow around the NREL phase-VI rotor, Wind Energy, 5 (2002), pp. 185–197.CrossRefGoogle Scholar
[8]Crespo, A., Hernández, J. and Frandsen, S., Survey of modeling methods for wind turbine wakes and wind farms, Wind Energy, 2 (1998), pp. 1–24.3.0.CO;2-7>CrossRefGoogle Scholar
[9]Vermeer, L. J., Sørensen, J. N. and Crespo, A., Wind turbine wake aerodynamics, Progress Aerospace Sci., 39(6-7) (2003), pp. 467–510.CrossRefGoogle Scholar
[10]Zahle, F. and Sørensen, N. N., On the influence of far-wake resolution on wind turbine flow simulations, J. Phys. Conference Ser., 75 (2007), pp. 012042.CrossRefGoogle Scholar
[11]Grant, I. and Parkin, P., A DPIV study of the trailing vortex elements from the blades of a horizontal axis wind turbine in yaw, Exp. Fluids, 28 (2000), pp. 368–376.Google Scholar
[12]Medici, D., Experimental Studies of Wind Turbine Wakes, Doctoral Thesis in Fluid Mechanics, TRITAMEK 2005:19, Stockholm, Sweden, 2005.Google Scholar
[13]Yang, Z., Sarkar, P. and Hu, H., An experimental investigation on the wake characteristics of a wind turbine in an atmospheric boundary layer wind, AIAA 2011-3815, 2011.Google Scholar
[14]Sørensen, J. N. and Shen, W. Z., Numerical modeling of wind turbine wakes, J. Fluid Eng., 124(2) (2002), pp. 393–399.Google Scholar
[15]Mikkelsen, R., Actuator Disc Methods Applied to Wind Turbines, PhD thesis, Technical University of Denmark, Lyngby, 2003.Google Scholar
[16]Potsdam, M. A. and Mavriplis, D. J., Unstructured mesh CFD aerodynamic analysis of the NREL phase VI rotor, AIAA Paper, (2009), pp. 1221.Google Scholar
[17]Ivanell, S. S. A., Numerical Computations of Wind Turbine Wakes, PhD thesis, Gotland University, Stockholm, Sweden, 2009.Google Scholar
[18]Troldborg, N., Sorensen, J. N. and Mikkelsen, R., Numerical simulations of wake characteristics of a wind turbine in uniform inflow, Wind Energy, 13(1) 2010), pp. 86–99.CrossRefGoogle Scholar
[19]Blazek, J., Computational Fluid Dynamics: Principles and Applications, 2Ed, Elsevier, 2005.Google Scholar
[20]Menter, F. R., Two-equation eddy-viscosity turbulence models for engineering applications, AIAA J., 32 (1994), pp. 1598–1605.Google Scholar
[21]Wilcox, D. C., A half century historical review of the k–ω model, AIAA Paper, 91-0615, 1991.CrossRefGoogle Scholar
[22]Tachos, N. S., Filios, A. E. and Margaris, D. P., A comparative numerical study of four turbulence models for the prediction of horizontal axis wind turbine flow, Proc. of the Inst. of Mech. Engs, Part C: J. Mech. Eng. Sci., 224 (2010), pp. 1973–1979.CrossRefGoogle Scholar
[23]Menter, F. R., Langtry, R. and Völker, S., Transition modeling for general purpose CFD codes, Flow Turb. Combustion, 77 (2006), pp. 277–303.Google Scholar
[24]Langtry, R. B., Gola, J. and Menter, F. R., Predicting 2D airfoil and 3D wind turbine rotor performance using a transition model for general CFD codes, AIAA, 2006-0395.Google Scholar
[25]Sorensen, N. N., Bechmann, A. and Zahle, F., 3D CFD computations of transitional flows using DES and a correlation based transition model, Wind Energy, 14 (2011), pp. 77–90.Google Scholar