An Investigation on the Effect of Turbulent Model on the CFD Prediction of Particulate Matter Dispersion from a Cement Plant

فاقد چكيده

Correct modelling of turbulence is one of the most important parameters in the accuracy and precision of prediction of particulate matter dispersion in air. In the present work, four different turbulence models were examined in order to model the dispersion of particulate matter from stack of Kerman cement plant using CFD technique. The considered calculation domain was a space with dimensions of 8000m × 800m × 400m around the stack. The domain was divided to 936781 tetrahedral control volumes. The mixture two-phase model was employed to model the interaction of the particulate matter (dispersed phase) and air (continuous phase). The predicted concentration profile of particulate matter using different turbulence models were compared with measured data. The results of the present work showed that choosing the right turbulence model has a significant effect on the predicted concentration profile of dust. The observed good agreement between the best predicted and measured concentrations showed that CFD can be employed as a powerful tool for predicting and understanding the dispersion of dust in air.