福州大学学报（自然科学版）Issue(4)：548-553,6.DOI:10.7631/issn.1000-2243.2015.04.0548
基于ACO－LSSVM燃煤碳元素分析的锅炉CO2排放量计算
Calculation of CO2 emissions in boilers based on ACO-LSSVM method for carbon element analysis of coal
摘要
Abstract
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 algo-rithm 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.关键词
锅炉/CO2 排放量/最小二乘支持向量机/碳元素含量Key words
boiler/CO2 emissions/least square support vector machine/carbon content分类
能源科技引用本文复制引用
许巧玲,王彦端,林伟豪,梁航,万晋..基于ACO－LSSVM燃煤碳元素分析的锅炉CO2排放量计算[J].福州大学学报（自然科学版）,2015,(4):548-553,6.基金项目
国家自然科学基金资助项目（60804027；61374133）；福建省质量技术监督局科研专项资助项目 （）
