CFD-Based Plume Rise Height Prediction using Fire Dynamics Simulator (FDS)

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CFD-Based Plume Rise Height Prediction using Fire Dynamics Simulator (FDS)

In atmospheric dispersion modeling, predicting the plume rise height of stack emissions is a crucial exercise. This video explores a specific example based on empirical correlations and computational fluid dynamics (CFD) simulations. Drawing from Stull’s empirical correlation for plume rise height in a stable atmospheric boundary layer, we simulate the behavior of a stack emitting sulfur dioxide (SO2) to understand its dispersion characteristics.

The example provided by Stull [149] involves a stack with a height of 75 meters, emitting SO2 at a rate of 250 grams per second. The exit velocity of the gases is 20 meters per second, with a temperature difference of 180 Kelvin above ambient conditions (293 Kelvin). The stack features an orifice with a radius of 2 meters, and the wind speed is maintained at 2 meters per second.

In atmospheric dispersion modeling, predicting the plume rise height of stack emissions is a crucial exercise. This video explores a specific example based on empirical correlations and computational fluid dynamics (CFD) simulations. Drawing from Stull’s empirical correlation for plume rise height in a stable atmospheric boundary layer, we simulate the behavior of a stack emitting sulfur dioxide (SO2) to understand its dispersion characteristics.

The example provided by Stull [149] involves a stack with a height of 75 meters, emitting SO2 at a rate of 250 grams per second. The exit velocity of the gases is 20 meters per second, with a temperature difference of 180 C above ambient conditions (20 C) . The stack features an orifice with a radius of 2 meters, and the wind speed is maintained at 2 meters per second.

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