Wind Energy Science
Wind Energy Science
WES
Articles | Volume 8, issue 2
Articles | Volume 8, issue 2
https://doi.org/10.5194/wes-8-141-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-8-141-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 8, issue 2
Brief communication
 | 
08 Feb 2023
Brief communication |  | 08 Feb 2023

Brief communication: A momentum-conserving superposition method applied to the super-Gaussian wind turbine wake model

Frédéric Blondel

Viewed

Total article views: 1,926 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,451 419 56 1,926 58 45
  • HTML: 1,451
  • PDF: 419
  • XML: 56
  • Total: 1,926
  • BibTeX: 58
  • EndNote: 45
Views and downloads (calculated since 27 Jun 2022)
Cumulative views and downloads (calculated since 27 Jun 2022)

Viewed (geographical distribution)

Total article views: 1,926 (including HTML, PDF, and XML) Thereof 1,858 with geography defined and 68 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Dec 2024
Download
Short summary
Accurate wind farm flow predictions based on analytical wake models are crucial for wind farm design and layout optimization. Wake superposition methods play a key role and remain a substantial source of uncertainty. In the present work, a momentum-conserving superposition method is extended to the superposition of super-Gaussian-type velocity deficit models, allowing the full wake velocity deficit estimation and design of closely packed wind farms.
Read more
Altmetrics
Final-revised paper
Preprint