Preprints
https://doi.org/10.5194/wes-2023-159
https://doi.org/10.5194/wes-2023-159
21 Nov 2023
 | 21 Nov 2023
Status: this discussion paper is a preprint. It has been under review for the journal Wind Energy Science (WES). The manuscript was not accepted for further review after discussion.

Predicting the Onset of Dynamic Stall on Large Wind Turbines

Jan Dominik Ahrens, Jasson A. Printezis, Ahmed G. Yosry, Joerg R. Seume, and Lars Wein

Abstract. This study addresses the challenge of predicting dynamic stall on wind turbine airfoils, focusing on the development of a reduced-order model applicable to thick airfoils (t/c > 0.21). Utilizing a Delayed Detached-Eddy simulation of a pitching FFA-W3-211 airfoil at Re = 15 M, our analysis identifies the transition from the primary instability phase to the vortex formation stage as a critical aspect of dynamic stall. By examining the dynamic time scales, we observed a ten-fold increase in the growth rate of the shear layer height during the transition of these stages. The stall delays attributed to these stages are substantially dependent on the airfoil's camber distribution and the location of the maximum thickness. We discovered that the Leading-Edge Suction-Parameter (LESP) proposed by Ramesh et al. (2014) for thin airfoils is also helpful in predicting the onset of the vortex formation stage for thick airfoils. Based on this finding, we propose a Mid-Chord Suction-Parameter (MCSP), that is more effective for wind turbine airfoils. The MCSP exhibits a breakdown in magnitude at the onset of the vortex formation stage and deep stall.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Jan Dominik Ahrens, Jasson A. Printezis, Ahmed G. Yosry, Joerg R. Seume, and Lars Wein

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-159', Anonymous Referee #1, 06 Dec 2023
  • RC2: 'Comment on wes-2023-159', Anonymous Referee #2, 07 Dec 2023
  • RC3: 'Comment on wes-2023-159', Anonymous Referee #3, 18 Dec 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-159', Anonymous Referee #1, 06 Dec 2023
  • RC2: 'Comment on wes-2023-159', Anonymous Referee #2, 07 Dec 2023
  • RC3: 'Comment on wes-2023-159', Anonymous Referee #3, 18 Dec 2023
Jan Dominik Ahrens, Jasson A. Printezis, Ahmed G. Yosry, Joerg R. Seume, and Lars Wein
Jan Dominik Ahrens, Jasson A. Printezis, Ahmed G. Yosry, Joerg R. Seume, and Lars Wein

Viewed

Total article views: 401 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
276 109 16 401 17 14
  • HTML: 276
  • PDF: 109
  • XML: 16
  • Total: 401
  • BibTeX: 17
  • EndNote: 14
Views and downloads (calculated since 21 Nov 2023)
Cumulative views and downloads (calculated since 21 Nov 2023)

Viewed (geographical distribution)

Total article views: 388 (including HTML, PDF, and XML) Thereof 388 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Jun 2024
Download
Short summary
Dynamic stall introduces transient loads that excite blade vibrations, which contribute to mechanical fatigue and can lead to blade failure. In order to design wind turbine airfoils that are less prone to dynamic stall, the onset of dynamic stall has to be predicted. This work contributes to the development of reduced-order models that predict dynamic stall in a cost-efficient way. The models can be used in the design process of new airfoil geometries of future wind turbines.
Altmetrics