Wind Energy Science
Wind Energy Science
WES
Articles | Volume 4, issue 4
Articles | Volume 4, issue 4
https://doi.org/10.5194/wes-4-581-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-4-581-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 4, issue 4
Research article
 | 
07 Nov 2019
Research article |  | 07 Nov 2019

Wind turbine load dynamics in the context of turbulence intermittency

Carl Michael Schwarz, Sebastian Ehrich, and Joachim Peinke

Viewed

Total article views: 3,661 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,249 1,326 86 3,661 88 86
  • HTML: 2,249
  • PDF: 1,326
  • XML: 86
  • Total: 3,661
  • BibTeX: 88
  • EndNote: 86
Views and downloads (calculated since 16 May 2019)
Cumulative views and downloads (calculated since 16 May 2019)

Viewed (geographical distribution)

Total article views: 3,661 (including HTML, PDF, and XML) Thereof 2,828 with geography defined and 833 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
This work is dedicated to the non-Gaussian statistics of wind velocity jumps and their effect on wind turbines, more specifically on fatigue loads. Wind velocity jumps are commonly simplified to behave in a Gaussian manner. This study discusses how to compare non-Gaussian to Gaussian wind fields properly and shows that the non-Gaussianity in fact can make a difference with respect to fatigue loads. Additionally, we highlight the dependence of our findings on the wind field's coherence.
Read more
Altmetrics
Final-revised paper
Preprint