多元线性回归分析在动力煤低位发热量测定中的应用  

Application of multiple linear regression analysis in the determination of net calorific value of steam coal

作　　者：吴镇君 WU Zhen-jun(Inspection Center in Bengang Steel Plates Corporation Ltd.,Benxi 117000,China)

机构地区：[1]本钢板材股份有限公司检化验中心

出　　处：《煤质技术》2019年第3期51-53,56,共4页Coal Quality Technology

摘　　要：根据1107批动力煤的工业分析以及元素分析数据,运用多元线性回归分析对动力煤的低位发热量进行预测,并讨论各组分对发热量数值大小的影响程度。煤的灰分和全水分对煤的低位发热量贡献最为突出,其次是煤的挥发分,而煤中氢值和全硫对发热量的贡献特别微弱。通过多元线性回归分析可以准确预测动力煤低位发热量的大小,同时也可对发热量的测定值进行校核。According to proximate analysis and ultimate analysis data of 1107 batch coals,the net calorific values of steam coal were predicated by multiple linear regression analysis,the influence of each component on calorific value was discussed.The contribution of ash and total moisture to the net calorific value of coal was the most prominent,the second one was the volatile component of coal,contribution of hydrogen value and total sulfur in coal to calorific value was particularly weak.The net calorific values of steam coal can be accurately predicted by multiple linear regression analysis,meanwhile,it can be used to check the measured calorific values.

关 键 词：动力煤 发热量 多元线性回归分析 经验公式 灰分 全水分 预测 校核 

分 类 号：TQ533.4[化学工程—煤化学工程] TP391[自动化与计算机技术—计算机应用技术]