Wind Energy Science
Wind Energy Science
WES
Articles | Volume 8, issue 5
Articles | Volume 8, issue 5
https://doi.org/10.5194/wes-8-691-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-8-691-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 8, issue 5
Research article
 | 
05 May 2023
Research article |  | 05 May 2023

The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data

Robert Braunbehrens, Andreas Vad, and Carlo L. Bottasso

Viewed

Total article views: 3,089 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,343 679 67 3,089 87 102
  • HTML: 2,343
  • PDF: 679
  • XML: 67
  • Total: 3,089
  • BibTeX: 87
  • EndNote: 102
Views and downloads (calculated since 19 Aug 2022)
Cumulative views and downloads (calculated since 19 Aug 2022)

Viewed (geographical distribution)

Total article views: 3,089 (including HTML, PDF, and XML) Thereof 3,007 with geography defined and 82 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Oct 2025
Download
Short summary
The paper presents a new method in which wind turbines in a wind farm act as local sensors, in this way detecting the flow that develops within the power plant. Through this technique, we are able to identify effects on the flow generated by the plant itself and by the orography of the terrain. The new method not only delivers a flow model of much improved quality but can also help in understanding phenomena that drive the farm performance.
Read more
Share
Altmetrics
Final-revised paper
Preprint