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

<p>Monitoring the flow features over wind turbine blades is a challenging task that has become more and more crucial. This paper is devoted to demonstrate the ability of the e-TellTale sensor to detect the flow stall–reattachment dynamics over wind turbine blades. This sensor is made of a stri...

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Main Authors: A. Soulier, C. Braud, D. Voisin, B. Podvin
Format: Article
Language:English
Published: Copernicus Publications 2021-03-01
Series:Wind Energy Science
Online Access:https://wes.copernicus.org/articles/6/409/2021/wes-6-409-2021.pdf
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spelling doaj-44e488c5b72e444b962955ad052a23002021-03-15T14:26:13ZengCopernicus PublicationsWind Energy Science2366-74432366-74512021-03-01640942610.5194/wes-6-409-2021Low-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 dynamicsA. Soulier0A. Soulier1C. Braud2D. Voisin3B. Podvin4Mer Agitée, Port-la-Forêt, 29940 La Forêt-Fouesnant, FranceLHEEA (CNRS/ECN), Ecole Centrale Nantes 1, rue de la Noë, 44321 Nantes, FranceLHEEA (CNRS/ECN), Ecole Centrale Nantes 1, rue de la Noë, 44321 Nantes, FranceMer Agitée, Port-la-Forêt, 29940 La Forêt-Fouesnant, FranceLIMSI (CNRS), Campus Univ. bât. 507, Rue John Von Neumann, 91400 Orsay, France<p>Monitoring the flow features over wind turbine blades is a challenging task that has become more and more crucial. This paper is devoted to demonstrate the ability of the e-TellTale sensor to detect the flow stall–reattachment dynamics over wind turbine blades. This sensor is made of a strip with a strain gauge sensor at its base. The velocity field was acquired using time-resolved particle image velocimetry (TR-PIV) measurements over an oscillating 2D blade section equipped with an e-TellTale sensor. PIV images were post-processed to detect movements of the strip, which was compared to movements of flow. Results show good agreement between the measured velocity field and movements of the strip regarding the stall–reattachment dynamics.</p>https://wes.copernicus.org/articles/6/409/2021/wes-6-409-2021.pdf
collection DOAJ
language English
format Article
sources DOAJ
author A. Soulier
A. Soulier
C. Braud
D. Voisin
B. Podvin
spellingShingle A. Soulier
A. Soulier
C. Braud
D. Voisin
B. Podvin
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
Wind Energy Science
author_facet A. Soulier
A. Soulier
C. Braud
D. Voisin
B. Podvin
author_sort A. Soulier
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher Copernicus Publications
series Wind Energy Science
issn 2366-7443
2366-7451
publishDate 2021-03-01
description <p>Monitoring the flow features over wind turbine blades is a challenging task that has become more and more crucial. This paper is devoted to demonstrate the ability of the e-TellTale sensor to detect the flow stall–reattachment dynamics over wind turbine blades. This sensor is made of a strip with a strain gauge sensor at its base. The velocity field was acquired using time-resolved particle image velocimetry (TR-PIV) measurements over an oscillating 2D blade section equipped with an e-TellTale sensor. PIV images were post-processed to detect movements of the strip, which was compared to movements of flow. Results show good agreement between the measured velocity field and movements of the strip regarding the stall–reattachment dynamics.</p>
url https://wes.copernicus.org/articles/6/409/2021/wes-6-409-2021.pdf
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