Effect of Different Turbulence Models On Savonius CFD Simulation, ANSYS Fluent Training
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€220.00 Original price was: €220.00.€155.00Current price is: €155.00.
Studying the effect of various turbulence models on the computational fluid dynamics (CFD) simulation of Savonius wind turbines is critical for improving their performance and efficiency. In this ANSYS Fluent tutorial, we will learn about the sensitive interplay between turbulence models and Savonius rotor designs and how turbulence modeling choices impact the accuracy and dependability of CFD predictions.
By analyzing turbulence models such as k-ε, k-ω, and SST (Shear Stress Transport), we will obtain significant insights into the complicated flow processes within Savonius turbines. For the present study, we take assumptions from the paper entitled “PERFORMANCE CHARACTERISTICS OF VERTICAL-AXIS OFF-SHORE SAVONIUS WIND AND SAVONIUS HYDROKINETIC TURBINES”.
Simulation Process
The simulation of the Savonius wind turbine requires two individual domains, including a rotating one, which stands for rotor and a stationary region around it. It is critical to perform a suitable mesh grid specifically near the interface of two regions and blades. This can directly result in inappropriate value transfer from the cell to the next cell, causing errors. Sliding Mesh module or, also known as Mesh motion, is responsible for performing such problems as vertical axis wind turbines. Clearly, the employed turbulence model is important, too, and it is our ultimate objective for the problem. Four turbulence models, including k-omega SST, SST Transition, Spallart Allmaras and Reynolds Stress are observed.
Post-processing
The Effect of Different Turbulence Models on Savonius CFD Simulation highlighted flow dynamics in Savonius wind turbines by analyzing four different models. The k-ω SST model excels at capturing turbulent effects near blade surfaces, while the SST Transition model accurately predicts transitional flow regimes for optimal turbine performance. The Spalart-Allmaras model captures turbulent properties well, especially in flow separation areas, whereas the Reynolds Stress model provides extensive insights into turbulent stresses to optimize turbine design parameters. Although each study should be validated based on a valid reference, each of them can have its benefits. Regarding the computational costs and the aim of the study, each can be selected and be a wise choice. Please check the animation to see where the differences occur.
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