Calibration of a super-Gaussian wake model with a focus on near-wake characteristics

Offshore wind turbine near wakes can extend downstream up to 5D due to low atmospheric turbulence intensities. They are characterised by strong velocity deficits, a transitioning Gaussian shape, and strong added turbulence intensities. Classical analytical wake models are still used due to their low...

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Veröffentlicht in:Journal of physics. Conference series 2020-09, Vol.1618 (6), p.62008
Hauptverfasser: Cathelain, M., Blondel, F., Joulin, P.A., Bozonnet, P.
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Sprache:eng
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Zusammenfassung:Offshore wind turbine near wakes can extend downstream up to 5D due to low atmospheric turbulence intensities. They are characterised by strong velocity deficits, a transitioning Gaussian shape, and strong added turbulence intensities. Classical analytical wake models are still used due to their low computational costs, but they mainly focus on far-wake characteristics. A super-Gaussian wake model valid in near-and far-wake regions has recently been developed at IFP Energies nouvelles. This wake model requires calibration and validation. To this end, large-eddy simulations of the large DTU-10MW reference wind turbine under different neutrally stratified atmospheric flows are carried out with the LES Meso-NH model. A database is generated based on these results and used to calibrate and validate the super-Gaussian model.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1618/6/062008