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Resources 2015, 4(4), 787-795; doi:10.3390/resources4040787

Taylor Law in Wind Energy Data

1
EA 4935, LARGE Laboratoire en Géosciences et Énergies, Université des Antilles, 97159 Pointe-à-Pitre, Guadeloupe, France
2
CNRS, UMR 8187 LOG Laboratoire d’Océanologie et de Géosciences, Université de Lille 1, 28 avenue Foch, Wimeureux 62930, France
*
Author to whom correspondence should be addressed.
Academic Editor: Witold-Roger Poganietz
Received: 29 May 2015 / Revised: 14 September 2015 / Accepted: 19 October 2015 / Published: 27 October 2015
(This article belongs to the Special Issue Alternative Energy Sources in Developing and Developed Regions)
View Full-Text   |   Download PDF [420 KB, uploaded 27 October 2015]   |  

Abstract

The Taylor power law (or temporal fluctuation scaling), is a scaling relationship of the form σ ~ (P)λ where !! is the standard deviation and hPi the mean value of a sample of a time series has been observed for power output data sampled at 5 min and 1 s and from five wind farms and a single wind turbine, located at different places. Furthermore, an analogy with the turbulence field is performed, consequently allowing the establishment of a scaling relationship between the turbulent production IP and the mean value (P). View Full-Text
Keywords: Taylor power law; temporal fluctuation scaling; wind energy; wind farms; wind turbine Taylor power law; temporal fluctuation scaling; wind energy; wind farms; wind turbine
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Calif, R.; Schmitt, F.G. Taylor Law in Wind Energy Data. Resources 2015, 4, 787-795.

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