| dc.description.abstract | Sulfur-dioxide (SO2) is one of pollutants emitted from industrial stack emission, particularly from industries which use coal as the fuel. This pollutant dispersion needs to be studied for monitoring of air quality, one of it methods is by doing simulation using mathematical models. This research is directed to predict the distribution of SO2 concentration, dispersion pattern and critical distance where the SO2 concentration being maximum. The simulation is performed by applying CFD approach to the case of study in Suralaya power plant. A widely used CFD software called FLUENT is used to solve the equations of mass and Reynolds-Averaged Navier Stokes momentum conservations using finite volume method. Turbulence is modeled using the Spalart-Allmaras one equation while SO2 flux diffusion is computed using the species transport equation. The simulation is performed for varying atmospheric condition from very unstable to very stable one. The simulation results show that the maximal SO2 concentration at the stack is 495 mg m-3 occurs at unstable atmospheric condition, as for the maximal SO2 concentration at the altitude of 1.5 m is 5.06 mg m-3 occurs at very unstable atmospheric condition. The more stable atmospheric condition the longer the pollutant exists in the air and it falls down to the ground at a farther distance. On the contrary, the more unstable atmospheric condition, the faster the pollutant falls down as of the distance when maximal concentration on the ground is closer | en |
