Articles | Volume 3, issue 2
Wind Energ. Sci., 3, 533–543, 2018
Wind Energ. Sci., 3, 533–543, 2018
Research article
16 Aug 2018
Research article | 16 Aug 2018

From standard wind measurements to spectral characterization: turbulence length scale and distribution

Mark Kelly

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Cited articles

Abramowitz, M. and Stegun, I. A.: Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables; 9th printing, Dover, New York, 1972. a, b
Andre, J. C. and Lesieur, M.: Influence of helicity on the evolution of isotropic turbulence at high Reynolds number, J. Fluid Mech., 81, 187–207,, 1977. a
Berg, J., Vasiljevic, N., Kelly, M. C., Lea, G., and Courtney, M.: Addressing Spatial Variability of Surface-Layer Wind with Long-Range WindScanners, J. Atmos. Ocean. Tech., 32, 518–527,, 2015. a
Caughey, S., Wyngaard, J. C., and Kaimal, J.: Turbulence in the evolving stable boundary-layer, J. Atmos. Sci., 36, 1041–1052, 1979. a, b, c, d, e
Chougule, A., Mann, J., Segalini, A., and Dellwik, E.: Spectral tensor parameters for wind turbine load modeling from forested and agricultural landscapes, Wind Energy, 18, 469–481, 2015. a
Short summary
This paper shows how a definitive part of the commonly used Mann (1994) atmospheric turbulence model (its so-called eddy lifetime) implies that the model parameters can be directly related to typical measurements in wind energy projects. Most importantly, the characteristic turbulence length scale is found in terms of commonly measured (10 min mean) quantities (shear and standard deviation of wind speed); this estimator is found to give useful results, over different sites and flow regimes.