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

Soulier, Antoine; Braud, Caroline; Voisin, Dimitri; Podvin, Bérengère

doi:https://doi.org/10.5194/wes-6-409-2021

Articles | Volume 6, issue 2

https://doi.org/10.5194/wes-6-409-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Wind Energy Science Conference 2019

https://doi.org/10.5194/wes-6-409-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 6, issue 2

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, Caroline Braud, Dimitri Voisin, and Bérengère Podvin

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Final revised paper (published on 15 Mar 2021)
Preprint (discussion started on 26 Mar 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Referee comment for wes2020-13', Anonymous Referee #1, 26 Apr 2020
- AC1: 'Final response', Caroline Braud, 13 Oct 2020
RC2: 'Review: Ability of the e-TellTale sensor to detect flow features over wind turbine blades: flow stall/reattachment dynamics', Anonymous Referee #2, 29 Jul 2020
- AC2: 'Final response', Caroline Braud, 13 Oct 2020
- AC1: 'Final response', Caroline Braud, 13 Oct 2020

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)

AR by Caroline Braud on behalf of the Authors (11 Jan 2021) Manuscript

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.