Articles | Volume 7, issue 2
https://doi.org/10.5194/wes-7-585-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-585-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Mar 2022
Research article |
| 15 Mar 2022
| 15 Mar 2022
Vortex identification methods applied to wind turbine tip vortices
Rodrigo Soto-Valle
CORRESPONDING AUTHOR
Technische Universität Berlin, Hermann-Föttinger-Institut, Müller-Breslau-Straße 8, 10623 Berlin, Germany
Stefano Cioni
Università degli Studi di Firenze, DIEF, via di Santa Marta 3, 50139 Florence, Italy
Sirko Bartholomay
Technische Universität Berlin, Hermann-Föttinger-Institut, Müller-Breslau-Straße 8, 10623 Berlin, Germany
Marinos Manolesos
City, University of London, SMCSE, Northampton Square, London EC1V 0HB, United Kingdom
Christian Navid Nayeri
Technische Universität Berlin, Hermann-Föttinger-Institut, Müller-Breslau-Straße 8, 10623 Berlin, Germany
Alessandro Bianchini
Università degli Studi di Firenze, DIEF, via di Santa Marta 3, 50139 Florence, Italy
Christian Oliver Paschereit
Technische Universität Berlin, Hermann-Föttinger-Institut, Müller-Breslau-Straße 8, 10623 Berlin, Germany
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Short summary
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Short summary
Short summary
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This paper compares different vortex identification methods to evaluate their suitability to study the tip vortices of a wind turbine. The assessment is done through experimental data from the wake of a wind turbine model. Results show comparability in some aspects as well as significant differences, providing evidence to justify further comparisons. Therefore, this study proves that the selection of the most suitable postprocessing methods of tip vortex data is pivotal to ensure robust results.
This paper compares different vortex identification methods to evaluate their suitability to...
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