Litcius/Paper detail

Vortex identification methods applied to wind turbine tip vortices

Rodrigo Soto‐Valle, Stefano Cioni, Sirko Bartholomay, Μαρίνος Μανωλέσος, Christian Navid Nayeri, Alessandro Bianchini, Christian Oliver Paschereit

2022Wind energy science21 citationsDOIOpen Access PDF

Abstract

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 their 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 postprocessing 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.

Topics & Concepts

VortexRADIUSParticle image velocimetryTurbineMechanicsPhysicsWind tunnelField (mathematics)Computer scienceMathematicsThermodynamicsPure mathematicsComputer securityTurbulenceWind Energy Research and DevelopmentFluid Dynamics and Vibration AnalysisFluid Dynamics and Turbulent Flows