Articles | Volume 8, issue 7
https://doi.org/10.5194/wes-8-1201-2023
https://doi.org/10.5194/wes-8-1201-2023
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: 1,823 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,331 434 58 1,823 35 40
  • HTML: 1,331
  • PDF: 434
  • XML: 58
  • Total: 1,823
  • BibTeX: 35
  • EndNote: 40
Views and downloads (calculated since 20 Oct 2022)
Cumulative views and downloads (calculated since 20 Oct 2022)

Viewed (geographical distribution)

Total article views: 1,823 (including HTML, PDF, and XML) Thereof 1,757 with geography defined and 66 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
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.
Altmetrics
Final-revised paper
Preprint