Numerical Modeling of the Thermal Boundary Layer Near a Synthetic Crude Oil Plant

Production from the world’s largest tar sands plant began in July 1978. Under the permit to construct the plant, Syncrude Canada Ltd. is permitted to emit 287 long tons of SO₂/day as long as Alberta’s Clean Air Regulations are not Violated. In order to predict such violations for emission control purposes, it is important to know the diurnal variation of the thermal boundary layer (TBL) height. In this paper, a numerical model for the prediction of TBL height as a function of time of day is given based on the solution of appropriate conservation equations relating both the heat flux and the temperature jump across the inversion layer to the height of the TBL. The resulting equations are solved by the Runge-Kutta method. The model is tested against the field data collected as part of a base-line data acquisition program. A comparison is also made of two different methods (kink method and conventional method) to calculate thermal boundary heights from the mini-sonde data. Problems in the use of the results of TBL heights using these two methods for predicting pollution potential near the plant are also discussed.