Original paper

Comparison of methods for the identification of mesoscale wind speed fluctuations

Mehrens, Anna Rieke; von Bremen, Lueder

Meteorologische Zeitschrift Vol. 26 No. 3 (2017), p. 333 - 342

23 references

published: Jun 14, 2017
published online: Mar 10, 2017
manuscript accepted: Jan 12, 2017
manuscript revision received: Nov 30, 2016
manuscript revision requested: Nov 4, 2016
manuscript received: Sep 19, 2016

DOI: 10.1127/metz/2017/0826

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Abstract

Mesoscale wind speed fluctuations influence the characteristics of offshore wind energy. These recurring wind speed changes on time scales between tens of minutes and six hours lead to power output fluctuations. In order to investigate the meteorological conditions associated with mesoscale wind speed fluctuations, a measure is needed to detect these situations in wind speed time series. Previous studies used the empirical Hilbert-Huang Transform to determine the energy in the mesoscale frequency range or calculated the standard deviation of a band-pass filtered wind speed time series. The aim of this paper is to introduce newly developed empirical mesoscale fluctuation measures and to compare them with existing measures in regard to their sensitivity to recurring wind speed changes. One of the methods is based on the Hilbert-Huang Transform, two on the Fast Fourier Transform and one on wind speed increments. It is found that despite various complexity of the methods, all methods can identify days with highly variable mesoscale wind speeds equally well.

Keywords

Energy Meteorologymesoscale wind speedFourier filtervariabilityHilbert Huang TransformNorth SeaFINO 1