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

12/26/2022
by   Armin Sheidani, et al.
0

In order to shed light on the Vertical-Axis Wind Turbines (VAWT) wake characteristics, in this paper we present high-fidelity CFD simulations of the flow around an exemplary H-shaped VAWT turbine, and we propose to apply Proper Orthogonal Decomposition (POD) to the computed flow field in the near wake of the rotor. The turbine under consideration was widely studied in previous experimental and computational investigations. In the first part of the study, multiple Reynolds-Averaged Navier-Stokes (RANS) simulations were performed at the Tip Speed Ratio (TSR) of peak power coefficient, to select the most accurate turbulence model with respect to available data. In the following step, further RANS numerical simulations were performed at different TSRs to compare the power coefficient against experimental data. Then, Large Eddy Simulation (LES) was applied for multiple TSR conditions. The spatial and temporal POD modes along with modal energy for the RANS and LES results were extracted, and the performance of the turbulence models was assessed. Also, an interpretation of the POD modes with respect to the flow structures was given to highlight the most significant time and length scales of the predictions considering the different dynamical levels of approximations of the computational models.

READ FULL TEXT

page 6

page 8

page 11

page 12

page 13

research
12/20/2012

Towards the Evolution of Novel Vertical-Axis Wind Turbines

Renewable and sustainable energy is one of the most important challenges...
research
08/13/2013

Toward the Coevolution of Novel Vertical-Axis Wind Turbines

The production of renewable and sustainable energy is one of the most im...
research
12/02/2022

Modeling Wind Turbine Performance and Wake Interactions with Machine Learning

Different machine learning (ML) models are trained on SCADA and meteorol...
research
08/02/2022

Reduced-order modeling for parameterized large-eddy simulations of atmospheric pollutant dispersion

Mapping near-field pollutant concentration is essential to track acciden...
research
04/18/2012

Towards the Evolution of Vertical-Axis Wind Turbines using Supershapes

We have recently presented an initial study of evolutionary algorithms u...
research
09/03/2021

Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows

We propose a deep probabilistic-neural-network architecture for learning...

Please sign up or login with your details

Forgot password? Click here to reset