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High-Reynolds-number investigations on the ability of the full-scale e-TellTale sensor to detect flow separation on a wind turbine blade section

Authors :
Antoine Soulier
Caroline Braud
Dimitri Voisin
Frédéric Danbon
Source :
Wind Energy Science. 7:1043-1052
Publication Year :
2022
Publisher :
Copernicus GmbH, 2022.

Abstract

The complexity of the flow over a wind turbine blade makes its understanding and monitoring a challenging task, especially on operating wind turbines. The innovative electronic TellTale (e-TellTale) sensor is developed for that purpose – detecting the flow separation on wind turbines blades. In this paper, high-Reynolds-number wind tunnel tests have been performed with different configurations of full-scale e-TellTale sensors and wall pressure measurements on a wind turbine blade section. A comparison between the lift curve and the e-TellTale signal was used to evaluate the ability of the sensor to detect flow separation. Results show different interesting properties of the sensor response depending on its size, position along the chord and fitting process that could be used in real applications.

Details

ISSN :
23667451
Volume :
7
Database :
OpenAIRE
Journal :
Wind Energy Science
Accession number :
edsair.doi...........2d6392f1eb5f28f10d68f6c0e11b78d9
Full Text :
https://doi.org/10.5194/wes-7-1043-2022