Multiscaling and joint multiscaling of the ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
Titre :
Multiscaling and joint multiscaling of the atmospheric wind speed and the aggregate power output from a wind farm
Auteur(s) :
Calif, Rudy [Auteur]
Laboratoire de Recherche en Géosciences et Energies [UR2_1] [LARGE]
Schmitt, François G [Auteur]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Laboratoire de Recherche en Géosciences et Energies [UR2_1] [LARGE]
Schmitt, François G [Auteur]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Titre de la revue :
Nonlinear Processes in Geophysics
Pagination :
379-392
Éditeur :
European Geosciences Union (EGU)
Date de publication :
2014
ISSN :
1023-5809
Discipline(s) HAL :
Planète et Univers [physics]/Océan, Atmosphère
Science non linéaire [physics]
Sciences de l'ingénieur [physics]/Energie électrique
Science non linéaire [physics]
Sciences de l'ingénieur [physics]/Energie électrique
Résumé en anglais : [en]
We consider here wind speed time series and the aggregate output wind power from a wind farm. We study their scaling statistics in the framework of fully developed turbulence and Kolmogorov's theory. We estimate their ...
Lire la suite >We consider here wind speed time series and the aggregate output wind power from a wind farm. We study their scaling statistics in the framework of fully developed turbulence and Kolmogorov's theory. We estimate their Fourier power spectra and consider their scaling properties in the physical space. We show that the atmospheric wind speed and the aggregate power output from a wind farm are intermittent and multifractal over a wide range of scales. The coupling between simultaneous data of the wind speed and aggregate power output is investigated through a joint multifractal description using the generalized correlation functions (GCFs). This multiscaling test is compatible with a linear relation between the wind speed and the aggregate power output fluctuations for timescales T ⩾ 103 s ≃ 15 minLire moins >
Lire la suite >We consider here wind speed time series and the aggregate output wind power from a wind farm. We study their scaling statistics in the framework of fully developed turbulence and Kolmogorov's theory. We estimate their Fourier power spectra and consider their scaling properties in the physical space. We show that the atmospheric wind speed and the aggregate power output from a wind farm are intermittent and multifractal over a wide range of scales. The coupling between simultaneous data of the wind speed and aggregate power output is investigated through a joint multifractal description using the generalized correlation functions (GCFs). This multiscaling test is compatible with a linear relation between the wind speed and the aggregate power output fluctuations for timescales T ⩾ 103 s ≃ 15 minLire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Source :
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