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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Copernicus Publications
2021-03-01
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Series: | Wind Energy Science |
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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 |
work_keys_str_mv |
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