Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 1
Articles | Volume 9, issue 1
https://doi.org/10.5194/wes-9-1-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-1-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 1
Research article
 | 
08 Jan 2024
Research article |  | 08 Jan 2024

A digital twin solution for floating offshore wind turbines validated using a full-scale prototype

Emmanuel Branlard, Jason Jonkman, Cameron Brown, and Jiatian Zhang

Viewed

Total article views: 7,134 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
5,148 1,868 118 7,134 151 168
  • HTML: 5,148
  • PDF: 1,868
  • XML: 118
  • Total: 7,134
  • BibTeX: 151
  • EndNote: 168
Views and downloads (calculated since 16 May 2023)
Cumulative views and downloads (calculated since 16 May 2023)

Viewed (geographical distribution)

Total article views: 7,134 (including HTML, PDF, and XML) Thereof 6,898 with geography defined and 236 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 10 Feb 2026
Download
Short summary
In this work, we implement, verify, and validate a physics-based digital twin solution applied to a floating offshore wind turbine. The article present methods to obtain reduced-order models of floating wind turbines. The models are used to form a digital twin which combines measurements from the TetraSpar prototype (a full-scale floating offshore wind turbine) to estimate signals that are not typically measured.
Read more
Share
Altmetrics
Final-revised paper
Preprint