DocumentCode :
1895672
Title :
Spatio-temporal wind variability in complex terrain
Author :
Belu, Radian ; Koracin, Darko
Author_Institution :
Drexel Univ., Philadelphia, PA, USA
fYear :
2013
fDate :
21-23 May 2013
Firstpage :
1
Lastpage :
6
Abstract :
Spatial and temporal characteristics of the wind velocity in complex terrain, relevant to wind energy resources were investigated in this study. Data from one 80 m and four 50 m towers located within a range of 200 km in western Nevada, U.S., operated from August 2003 to March 2008 were used in the analysis. The average multi-annual wind speed did not show significant increase trends with increased elevation, the differences are mainly governed by the complexity of the topography including local circulations and channeling. Due to a slower increase of the standard deviation of the wind speed compared to the increase of the average wind speed, the turbulence intensity slowly decreased with an increase of the average wind speed. The wind speed was modeled using the Weibull distribution, while the wind direction was modeled using the von Mises distribution. In spite of differences in the basic wind speed statistics, the auto- and cross-correlations show a strong coherence between the wind speed and direction with slowly decreasing amplitude of the multi-day periodicity with increasing lag periods. A non-zero centerline of the diurnal component in the autocorrelation function indicated a possible long-term periodicity. Besides a pronounced diurnal periodicity at all locations, the spectral analysis showed significant annual periodicity with similar characteristics at all five locations.
Keywords :
Weibull distribution; energy resources; turbulence; wind; wind power; Weibull distribution; autocorrelation function; complex terrain; local circulations; long term periodicity; multiannual wind speed; multiday periodicity; size 50 m; size 80 m; spatio-temporal wind variability; turbulence intensity; von Mises distribution; wind direction; wind energy resources; Correlation; Frequency measurement; Poles and towers; Spectral analysis; Standards; Wind energy; Wind speed; Wind energy assessment; auto- and cross-correlations; spectral analysis; tower measurements; wind statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energytech, 2013 IEEE
Conference_Location :
Cleveland, OH
Type :
conf
DOI :
10.1109/EnergyTech.2013.6645353
Filename :
6645353
Link To Document :
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