The SST k-ω model most accurately predicts mean velocities, TKE, shear stress, CRZ, CVC, temperature distribution, and species concentrations among the tested RANS models.
Meloni, Pollutant emission validation of a heavy-duty gas turbine burner by cfd modeling, Machines 1 (2013) 81–97
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Performance Evaluation of RANS-Based Turbulence Models in Predicting Turbulent Non-Premixed Swirling Combustion within a Realistic Can Combustor
The SST k-ω model most accurately predicts mean velocities, TKE, shear stress, CRZ, CVC, temperature distribution, and species concentrations among the tested RANS models.