Wind Energy Science
Wind Energy Science
WES
Articles | Volume 8, issue 1
Articles | Volume 8, issue 1
https://doi.org/10.5194/wes-8-41-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-8-41-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 8, issue 1
Research article
 | 
04 Jan 2023
Research article |  | 04 Jan 2023

Computational fluid dynamics (CFD) modeling of actual eroded wind turbine blades

Kisorthman Vimalakanthan, Harald van der Mijle Meijer, Iana Bakhmet, and Gerard Schepers

Viewed

Total article views: 2,322 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,575 695 52 2,322 42 30
  • HTML: 1,575
  • PDF: 695
  • XML: 52
  • Total: 2,322
  • BibTeX: 42
  • EndNote: 30
Views and downloads (calculated since 22 Jul 2022)
Cumulative views and downloads (calculated since 22 Jul 2022)

Viewed (geographical distribution)

Total article views: 2,322 (including HTML, PDF, and XML) Thereof 2,231 with geography defined and 91 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Leading edge erosion (LEE) is one of the most critical degradation mechanisms that occur with wind turbine blades. A detailed understanding of the LEE process and the impact on aerodynamic performance due to the damaged leading edge is required to optimize blade maintenance. Providing accurate modeling tools is therefore essential. This novel study assesses CFD approaches for modeling high-resolution scanned LE surfaces from an actual blade with LEE damages.
Read more
Altmetrics
Final-revised paper
Preprint