Wind Energy Science
Wind Energy Science
WES
Articles | Volume 5, issue 1
Articles | Volume 5, issue 1
https://doi.org/10.5194/wes-5-237-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-5-237-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 5, issue 1
Brief communication
 | 
14 Feb 2020
Brief communication |  | 14 Feb 2020

Brief communication: A double-Gaussian wake model

Johannes Schreiber, Amr Balbaa, and Carlo L. Bottasso

Viewed

Total article views: 5,199 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,753 1,335 111 5,199 142 152
  • HTML: 3,753
  • PDF: 1,335
  • XML: 111
  • Total: 5,199
  • BibTeX: 142
  • EndNote: 152
Views and downloads (calculated since 23 Aug 2019)
Cumulative views and downloads (calculated since 23 Aug 2019)

Viewed (geographical distribution)

Total article views: 5,199 (including HTML, PDF, and XML) Thereof 4,479 with geography defined and 720 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Nov 2025
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
An analytical wake model with a double-Gaussian velocity distribution is used to improve on a similar formulation by Keane et al (2016). The choice of a double-Gaussian shape function is motivated by the behavior of the near-wake region that is observed in numerical simulations and experimental measurements. The model is calibrated and validated using large eddy simulations replicating scaled wind turbine experiments, yielding improved results with respect to a classical single-Gaussian profile.
Read more
Share
Altmetrics
Final-revised paper
Preprint