Wind Energy Science
Wind Energy Science
WES
Articles | Volume 11, issue 1
Articles | Volume 11, issue 1
https://doi.org/10.5194/wes-11-265-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-265-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 1
Research article
 | 
23 Jan 2026
Research article |  | 23 Jan 2026

Bidirectional wakes over complex terrain using SCADA data and wake models

Nanako Sasanuma, Akihiro Honda, Christian Bak, Niels Troldborg, Mac Gaunaa, Morten Nielsen, and Teruhisa Shimada

Viewed

Total article views: 1,779 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,327 375 77 1,779 77 114
  • HTML: 1,327
  • PDF: 375
  • XML: 77
  • Total: 1,779
  • BibTeX: 77
  • EndNote: 114
Views and downloads (calculated since 25 Jul 2025)
Cumulative views and downloads (calculated since 25 Jul 2025)

Viewed (geographical distribution)

Total article views: 1,779 (including HTML, PDF, and XML) Thereof 1,749 with geography defined and 30 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 02 Apr 2026
Download
Short summary
We verify wake effects between two wind turbines in complex terrain using supervisory control and data acquisition data. By identifying “wake conditions” and “no-wake conditions” detected by the blade pitch angle of upstream wind turbines, we evaluate wake effects on wind speed ratio, turbulent intensity, and power output. Results show that flow downhill has a significant impact on wake effects compared to flow uphill. The method shows the potential of SCADA data during the downtime of wind turbines.
Read more
Share
Altmetrics
Final-revised paper
Preprint