Analysis of Inverse-Prandtl of Dissipation in Standard k-ε Turbulence Model for Predicting Flow Field of Crossflow Wind Turbine

Abstract

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-ε model has better

results than the standard k-ε model. To improve predictions of the standard k-ε

turbulent model can be done by adjusting the constant value. This study discusses the

effect of constant inverse-Prandtl number in dissipation equation (σ) on the standard

k-ε turbulent model toward the prediction of the flow field. Case studies of the effect

of σ constant on flow field prediction were carried out in crossflow wind turbines. The

σ 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-ε turbulent model can be done by

testing the σ constant values.