Wind Energy Science
Wind Energy Science
WES
Articles | Volume 3, issue 1
Articles | Volume 3, issue 1
https://doi.org/10.5194/wes-3-395-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-3-395-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 3, issue 1
Research article
 | 
14 Jun 2018
Research article |  | 14 Jun 2018

Determination of optimal wind turbine alignment into the wind and detection of alignment changes with SCADA data

Niko Mittelmeier and Martin Kühn

Viewed

Total article views: 6,631 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,297 2,219 115 6,631 156 167
  • HTML: 4,297
  • PDF: 2,219
  • XML: 115
  • Total: 6,631
  • BibTeX: 156
  • EndNote: 167
Views and downloads (calculated since 03 Apr 2018)
Cumulative views and downloads (calculated since 03 Apr 2018)

Viewed (geographical distribution)

Total article views: 6,631 (including HTML, PDF, and XML) Thereof 5,657 with geography defined and 974 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Nov 2025
Download
Short summary
Upwind horizontal axis wind turbines need to be aligned with the main wind direction to maximize energy yield. This paper presents new methods to improve turbine alignment and detect changes during operational lifetime with standard nacelle met mast instruments. The flow distortion behind the rotor is corrected with a multilinear regression model and two alignment changes are detected with an accuracy of ±1.4° within 3 days of operation after the change is introduced.
Read more
Share
Altmetrics
Final-revised paper
Preprint