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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2021-03-01
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| Series: | Wind Energy Science |
| Online Access: | https://wes.copernicus.org/articles/6/409/2021/wes-6-409-2021.pdf |
| Summary: | <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> |
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| ISSN: | 2366-7443 2366-7451 |