Wind Energy Science
Wind Energy Science
WES
Articles | Volume 5, issue 2
Articles | Volume 5, issue 2
https://doi.org/10.5194/wes-5-775-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/wes-5-775-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 5, issue 2
Research article
 | 
19 Jun 2020
Research article |  | 19 Jun 2020

Dynamic wake meandering model calibration using nacelle-mounted lidar systems

Inga Reinwardt, Levin Schilling, Peter Dalhoff, Dirk Steudel, and Michael Breuer

Viewed

Total article views: 3,070 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,143 844 83 3,070 112 118
  • HTML: 2,143
  • PDF: 844
  • XML: 83
  • Total: 3,070
  • BibTeX: 112
  • EndNote: 118
Views and downloads (calculated since 04 Dec 2019)
Cumulative views and downloads (calculated since 04 Dec 2019)

Viewed (geographical distribution)

Total article views: 3,070 (including HTML, PDF, and XML) Thereof 2,738 with geography defined and 332 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Nov 2025
Download

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

Short summary
This study presents a measurement campaign, which consists of two nacelle-mounted lidar systems in a densely packed onshore wind farm. The aim of the campaign is to validate and improve wake models for load and power estimations in wind farms. Based on the findings from the measurements, the formulation of the wake degradation in the dynamic wake meandering model has been adjusted, so that the recalibrated model coincides very well with the measurements and thereby reduces the uncertainties.
Read more
Share
Special issue
Wind Energy Science Conference 2019
Altmetrics
Final-revised paper
Preprint