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Assessment of URANS and LES Methods in Predicting Wake Shed Behind a Vertical Axis Wind Turbine

Armin SheidaniSajad SalavatidezfouliGiovanni StabileGianluigi Rozza
Dec 2022
摘要
In order to shed light on the Vertical-Axis Wind Turbines (VAWT) wakecharacteristics, in this paper we present high-fidelity CFD simulations of theflow around an exemplary H-shaped VAWT turbine, and we propose to apply ProperOrthogonal Decomposition (POD) to the computed flow field in the near wake ofthe rotor. The turbine under consideration was widely studied in previousexperimental and computational investigations. In the first part of the study,multiple Reynolds-Averaged Navier-Stokes (RANS) simulations were performed atthe Tip Speed Ratio (TSR) of peak power coefficient, to select the mostaccurate turbulence model with respect to available data. In the followingstep, further RANS numerical simulations were performed at different TSRs tocompare the power coefficient against experimental data. Then, Large EddySimulation (LES) was applied for multiple TSR conditions. The spatial andtemporal POD modes along with modal energy for the RANS and LES results wereextracted, and the performance of the turbulence models was assessed. Also, aninterpretation of the POD modes with respect to the flow structures was givento highlight the most significant time and length scales of the predictionsconsidering the different dynamical levels of approximations of thecomputational models.
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