Analysis of Inverse-Prandtl of Dissipation in Standard k-? Turbulence Model for Predicting Flow Field of Crossflow Wind Turbine
Keywords:crossflow wind turbine, CFD, standard kε, turbulent model, inverse-Prandtl of dissipation
The analysis of the turbulence model on turbulent flow in certain objects is important to optimize the numerical simulation. To simulate rotating flow in crossflow turbine, the numerical accuracy of the Renormalization Group (RNG) k-? model has better results than the standard k-? model. To improve predictions of the standard k-? turbulent model can be done by adjusting the constant value. This study discusses the effect of constant inverse-Prandtl number in dissipation equation (?e) on the standard k-? turbulent model toward the prediction of the flow field. Case studies of the effect of ?e constant on flow field prediction were carried out in crossflow wind turbines. The ?e constant values examined are 1, 1.2, 1.4 and 1.5. Based on the results, there is a significant influence on the flow field prediction in a crossflow wind turbine. This shows that to improve the prediction of the standard k-? turbulent model can be done by testing the ?e constant values.