A Probabilistic Emissions Model for Managing Hazardous Air Pollutants

Any assessment of control strategies or impacts of potentially hazardous airborne pollutants must begin with the characterization of source emissions. This paper describes a new computer–based model developed for the Electric Power Research Institute (EPRI) to quantify the emissions of chemical species in all gaseous, liquid and solid streams entering and leaving a plant. User–specified parameters allow the model to be tailored to a variety of power plant configurations and site–specific conditions. A unique feature of the model is that all parameters and input data may be characterized probabilistically so that uncertainties can be analyzed rigorously.