Development of a Quantitative, Predictive Mercury Model for a Cement Kiln

This paper will describe the development of a predictive mercury model for emissions from a cement plant using historical raw material input parameters and CEM emission data. To quantify the mercury emissions, mass balance and partitioning coefficients are determined based upon quantitative measurements of kiln system parameters and monitoring of emissions by use of continuous emissions monitoring (CEM) data. The information gathered is used to develop a model that will predict changes in emissions based upon changes in raw material input parameters and modifications in kiln operating conditions. The model results may help to determine the effectiveness of changing operating parameters for controlling mercury emissions from kiln operations. Model development and operating parameters that influence the results will be discussed.