Abstract
Hot-wire measured signals are analyzed using the third and fourth order statistical moments as well as the energy spectra and structure functions in the wake of a model wind turbine array. The skewness experiences sharp excursions, away from a Gaussian behavior, due to the presence of the turbine rotor. Kurtosis is maximized at the top tip, hub, and bottom tip of the turbine. A below Gaussian kurtosis level in the probability density function (pdf) results for the streamwise direction moving away from the wall, while the hub and top tip of the pdf converge to a Gaussian behavior. At one diameter downstream of the turbine, the wall-normal kurtosis at the top tip, hub region, and slightly above the wall positions shows an increase in comparison to the other wall-normal locations. Similar peaks in wall-normal kurtosis are found five diameters and one diameter downstream of the turbine in near-wall region. These peaks converge to Gaussian behavior moving away from the wall. Energy spectra and structure functions indicate that the inertial subrange extends near the top tip in the near-wake and away from the wall in the far-wake. Utilizing the cross-spectra and mixed structure function, anisotropic behavior is held for all near- and far-wake region with exception at some small scales. Based on the structure function ratios of wall-normal and streamwise velocities, the wake is highly anisotropic for all locations except at top tip and the majority of scales in the near-wake. Contrary to this result, the ratio between the wall-normal and streamwise spectrum displays a defined range of scales behaving isotropically at most locations, the only exception being at hub height. In far-wake, the structure function ratio and spectral ratio show a significant reduction in anisotropic behavior at larger scales.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
GWEC, Global wind energy outlook 2012, November, 2012
J. Meyers, C. Meneveau, Optimal turbine spacing in fully developed wind-farm boundary layers. Wind Energy 15, 305–317 (2012)
L.P. Chamorro, F. Porté-Agel, Turbulent flow inside and above a wind farm: a wind-tunnel study. Energies 4, 1916–1936 (2011)
M.S. Melius, M. Tutkun, R.B. Cal, Solution of the Fokker-Planck equation in a wind turbine array boundary layer. Phys. D 280–281, 14–21 (2014)
R.B. Cal, J. Lebron, L. Castillo, H.S. Kang, C. Meneveau, Experimental study of the horizontally averaged flow structure in a model wind-turbine array boundary layer. J. Renew. Sustain. Energy 2, 013106, 1–25 (2010)
S.B. Pope, Turbulent Flows (Cambridge University Press, Cambridge, 2000)
T. Sedat, Statistical Approach to Wall Turbulence (Wiley, Hoboken, 2013)
L.T. DeCarlo, On the meaning and use of kurtosis. Psychol. Methods 2 (3), 292 (1997)
A.N. Kolmogorov, The local structure of turbulence in incompressible viscous fluid for very large Reynolds number. Dokl. Akad. Nauk. SSSR 30, 299–303 (1941); A.N. Kolmogorov, Dissipation of energy in the locally isotropic turbulence. Dokl. Akad. Nauk. SSSR 32, 19–21 (1941)
A.S. Monin, A.M. Yaglom, Statistical Fluid Mechanics (MIT Press, Cambridge, 1975), 875 pp.
L. Mydlarski, Z. Warhaft, On the onset of high-Reynolds-number grid-generated wind tunnel turbulence. J. Fluid Mech. 320, 331–368 (1996)
M. Chamecki, N.L. Dias, The local isotropy hypothesis and the turbulent kinetic energy dissipation rate in the atmospheric surface layer. Q. J. R. Meteorol. Soc. 130, 2733–2752 (2004)
J.C. Kaimal, J.C. Wyngaard, Y. Izumi, O.R. Coté, Spectral characteristics of surface-layer turbulence. Q. J. R. Meteorol. Soc. 98, 563–589 (1972)
P. Mestayer, Local isotropy and anisotropy in a high-Reynolds-number turbulent boundary layer. J. Fluid Mech. 125, 475–503 (1982)
S. Kurien, K.R. Sreenivasan, Anisotropic scaling contributions to high-order structure functions in high-Reynolds-number turbulence. Phys. Rev. E 62 (2), 1–7 (2000)
V.I. Tatarski, Wave Propagation in a Turbulent Medium, translated by R.A. Silverman (McGraw Hill, New York, 1961)
C. Van Atta, Local isotropy of the smallest scales of turbulent scalar and velocity fields. Proc. R. Soc. Lond. 434, 139–147 (1991)
R.A. Antonia, B.R. Pearson, Low- order velocity structure functions in relatively high Reynolds number turbulence. Europhys. Lett. 48 (2), 163–1 (1999)
K.R. Sreenivasan, R.A. Antonia, D. Britz, Local isotropy and large structures in a heated turbulent jet. J. Fluid Mech. 94, 745–775 (1979)
R.A. Antonia, M.R. Raupach, Spectral scaling in a high Reynolds number laboratory boundary layer. Bound. Lay. Meteorol. 65, 289–306 (1993)
G.G. Katul, M.B. Parlange, J.D. Albertson, V.R. Chu, Local isotropy and anisotropy in the sheared and heated atmospheric surface layer. Bound. Lay. Meteorol. 72, 123–148 (1995)
N. Hamilton, C. Meneveau, R.B. Cal, H.-S. Kang, Statistical analysis of kinetic energy entrainment in a model wind turbine array boundary layer. J. Renew. Sustain. Energy 4, 063105 (2012)
M. Melius, M. Tutkun, R.B. Cal. Identification of Markov process within a wind turbine array boundary layer. J. Renew. Sustain. Energy 6 (2), 023121 (2014)
Acknowledgements
This work is in part funded by the National Science Foundation (NSF - CBET - 1034581). Tutkun′s work is financed by the Research Council of Norway under the FRINATEK program (project #231491).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Ali, N., Aseyev, A.S., Melius, M.S., Tutkun, M., Cal, R.B. (2017). Evaluation of Higher Order Moments and Isotropy in the Wake of a Wind Turbine Array. In: Pollard, A., Castillo, L., Danaila, L., Glauser, M. (eds) Whither Turbulence and Big Data in the 21st Century?. Springer, Cham. https://doi.org/10.1007/978-3-319-41217-7_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-41217-7_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-41215-3
Online ISBN: 978-3-319-41217-7
eBook Packages: EngineeringEngineering (R0)