Wind Energy Science
Wind Energy Science
WES
Articles | Volume 5, issue 3
Articles | Volume 5, issue 3
https://doi.org/10.5194/wes-5-1097-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/wes-5-1097-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 5, issue 3
Research article
 | 
24 Aug 2020
Research article |  | 24 Aug 2020

Clustering wind profile shapes to estimate airborne wind energy production

Mark Schelbergen, Peter C. Kalverla, Roland Schmehl, and Simon J. Watson

Viewed

Total article views: 6,876 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
5,561 1,188 127 6,876 173 177
  • HTML: 5,561
  • PDF: 1,188
  • XML: 127
  • Total: 6,876
  • BibTeX: 173
  • EndNote: 177
Views and downloads (calculated since 17 Jan 2020)
Cumulative views and downloads (calculated since 17 Jan 2020)

Viewed (geographical distribution)

Total article views: 6,876 (including HTML, PDF, and XML) Thereof 6,230 with geography defined and 646 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Nov 2025
Download

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

Short summary
We have presented a methodology for including multiple wind profile shapes in a wind resource description that are identified using a data-driven approach. These shapes go beyond the height range for which conventional wind profile relationships are developed. Moreover, they include non-monotonic shapes such as low-level jets. We demonstrated this methodology for an on- and offshore reference location using DOWA data and efficiently estimated the annual energy production of a pumping AWE system.
Read more
Share
Special issue
Wind Energy Science Conference 2019
Altmetrics
Final-revised paper
Preprint