Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
Journal topic

Journal metrics

CiteScore value: 0.6
CiteScore
0.6
h5-index value: 13
h5-index13
Download
Short summary
Paper about validation of Electronic TellTale sensors to support their use for wind turbine blade monitoring.
Preprints
https://doi.org/10.5194/wes-2020-13
https://doi.org/10.5194/wes-2020-13

  26 Mar 2020

26 Mar 2020

Review status: a revised version of this preprint was accepted for the journal WES and is expected to appear here in due course.

Ability of the e-TellTale sensor to detect flow features over wind turbine blades: flow stall/reattachment dynamics

Antoine Soulier1,2, Caroline Braud2, Dimitri Voisin1, and Bérengère Podvin3 Antoine Soulier et al.
  • 1Mer Agitée, Port-la-Forêt, 29940 La Forêt-Fouesnant
  • 2LHEEA (CNRS/ECN), Ecole Centrale Nantes 1, rue de la Noë, 44321 Nantes
  • 3LIMSI (CNRS), Campus Univ. bât. 507, Rue John Von Neumann, 91400 Orsay

Abstract. 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 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.

Antoine Soulier et al.

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Antoine Soulier et al.

Antoine Soulier et al.

Viewed

Total article views: 520 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
332 146 42 520 55 47
  • HTML: 332
  • PDF: 146
  • XML: 42
  • Total: 520
  • BibTeX: 55
  • EndNote: 47
Views and downloads (calculated since 26 Mar 2020)
Cumulative views and downloads (calculated since 26 Mar 2020)

Viewed (geographical distribution)

Total article views: 421 (including HTML, PDF, and XML) Thereof 421 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 04 Mar 2021
Publications Copernicus
Download
Short summary
Paper about validation of Electronic TellTale sensors to support their use for wind turbine blade monitoring.
Citation