Articles | Volume 6, issue 2
Wind Energ. Sci., 6, 409–426, 2021
https://doi.org/10.5194/wes-6-409-2021

Special issue: Wind Energy Science Conference 2019

Wind Energ. Sci., 6, 409–426, 2021
https://doi.org/10.5194/wes-6-409-2021

Research article 15 Mar 2021

Research article | 15 Mar 2021

Low-Reynolds-number investigations on the ability of the strip of e-TellTale sensor to detect the flow features over wind turbine blade section: flow stall and reattachment dynamics

Antoine Soulier et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Caroline Braud on behalf of the Authors (13 Oct 2020)  Author's response    Manuscript
ED: Publish as is (11 Dec 2020) by Gerard J.W. van Bussel
ED: Publish as is (04 Jan 2021) by Jakob Mann(Chief Editor)
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Short summary
Monitoring the flow features over wind turbine blades is a challenging task that has become more and more crucial to monitor and/or operate wind turbine blades. This paper demonstrates the ability of an innovative sensor to detect these features over wind turbine blades. The spatiotemporal description of the flow over the surface has been measured over an oscillating blade section and the strip displacement was compared, showing the ability of the sensor to detect stall.