07 Oct 2021

07 Oct 2021

Review status: this preprint is currently under review for the journal WES.

Vortex identification methods applied to wind turbine tip vortices

Rodrigo Soto-Valle1, Stefano Cioni2, Sirko Bartholomay1, Marinos Manolesos3, Christian Navid Nayeri1, Alessandro Bianchini2, and Christian Oliver Paschereit1 Rodrigo Soto-Valle et al.
  • 1Technische Universität Berlin, Hermann-Föttinger Institut, Müller-Breslau-Straße 8,10623 Berlin, Germany
  • 2Università degli Studi di Firenze, DIEF, via di Santa Marta 3, 50139 Firenze, Italy
  • 3College of Engineering, Swansea University, Bay Campus, Fabian Way, Swansea, SA1 8EN, UK

Abstract. This study describes the impact of postprocessing methods on the calculated parameters of tip vortices of a wind turbine model when tested using Particle Image Velocimetry (PIV). Several vortex identification methods and differentiation schemes are compared. The chosen methods are based on two components of the velocity field and its derivatives. They are applied to each instantaneous velocity field from the dataset and also to the calculated average velocity field. The methodologies are compared through the vortex center location, vortex core radius and jittering zone.

Results show that the tip vortex center locations and radius have good comparability and can vary only a few grid spacings between methods. Conversely, the convection velocity and the jittering surface, defined as the area where the instantaneous vortex centers are located, vary between identification methods.

Overall, the examined parameters depend significantly on the post-processing method and selected vortex identification criteria. Therefore, this study proves that the selection of the most suitable postprocessing methods of PIV data is pivotal to ensure robust results.

Rodrigo Soto-Valle et al.

Status: open (until 25 Nov 2021)

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Rodrigo Soto-Valle et al.

Rodrigo Soto-Valle et al.


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Short summary
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.