Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 6
Articles | Volume 9, issue 6
https://doi.org/10.5194/wes-9-1419-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-1419-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 6
Research article
 | 
26 Jun 2024
Research article |  | 26 Jun 2024

The rotor as a sensor – observing shear and veer from the operational data of a large wind turbine

Marta Bertelè, Paul J. Meyer, Carlo R. Sucameli, Johannes Fricke, Anna Wegner, Julia Gottschall, and Carlo L. Bottasso

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Short summary
A neural observer is used to estimate shear and veer from the operational data of a large wind turbine equipped with blade load sensors. Comparison with independent measurements from a nearby met mast and profiling lidar demonstrate the ability of the rotor as a sensor concept to provide high-quality estimates of these inflow quantities based simply on already available standard operational data. 
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