Wind Energy Science
Wind Energy Science
WES
Articles | Volume 8, issue 7
Articles | Volume 8, issue 7
https://doi.org/10.5194/wes-8-1201-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-8-1201-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 8, issue 7
Research article
 | 
20 Jul 2023
Research article |  | 20 Jul 2023

A data-driven reduced-order model for rotor optimization

Nicholas Peters, Christopher Silva, and John Ekaterinaris

Viewed

Total article views: 2,592 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,824 696 72 2,592 71 102
  • HTML: 1,824
  • PDF: 696
  • XML: 72
  • Total: 2,592
  • BibTeX: 71
  • EndNote: 102
Views and downloads (calculated since 20 Oct 2022)
Cumulative views and downloads (calculated since 20 Oct 2022)

Viewed (geographical distribution)

Total article views: 2,592 (including HTML, PDF, and XML) Thereof 2,529 with geography defined and 63 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Nov 2025
Download
Short summary
Wind turbines have increasingly been leveraged as a viable approach for obtaining renewable energy. As such, it is essential that engineers have a high-fidelity, low-cost approach to modeling rotor load distributions. In this study, such an approach is proposed. This modeling approach was shown to make high-fidelity predictions at a low computational cost for rotor distributed-pressure loads as rotor geometry varied, allowing for an optimization of the rotor to be completed.
Read more
Share
Altmetrics
Final-revised paper
Preprint