Calculation of CO_2 emissions in boilers based on ACO-LSSVM method for carbon element analysis of coal

The carbon content of coal is one of the important parameters in calculating emissions of carbon dioxide in industrial coal boilers,but it is difficult to be measured quickly or accurately during the boilers operation. Based on the element analysis of coal from laboratory,a LSSVM( least- squares support vector machine) model for predicting the carbon content of coal is developed. Ant colony algorithm optimization is used to optimize the parameters in LSSVM in order to improve the accuracy of the model. Propose predictive model is applied to predict the carbon content of coal that comes from Fujian region,the maximum error and average error of the prediction results are 1. 18% and 0. 64%,respectively. Comparing proposed method with multivariate stepwise regression method,the results show that this method has higher simulation accuracy. This carbon element analysis model provides solid basis for calculating emissions of carbon dioxide in industrial boilers.