Study on the Prediction Model and Software of Environment Contaminants in Coal-Burning Power Plants

The model and software for systematically estimating the concentration of the main contaminants (dust, SO₂, NO_x, CO₂, F, As, Hg, Cd, Pd etc) in exhaust gas and waste waters from coal-burning power plants were studied. The prediction of contaminants in exhaust gas was based on conventional calculating models. The key factors are ascertained the material conservation theory and the on-line data of coal quality are used to build the formula for calculating the quantity and the concentration of the gas contaminants. The prediction of contaminants in water was based on the status quo of ash-flushing systems in national power plants through studying the ash-water in two different systems separately. The power plant monitor and prediction software using VB and access database were developed based on the above prediction model. The prediction result from the software shows that the opposite error value about the prediction and measure was all less than 10%, this proved the estimate was authentic.