摘要
对232组煤的热值及其对应的工业分析数据进行回归分析,推导出煤的发热量与挥发分和固定碳的经验公式、发热量与煤灰含量的定量关联式,两式均具有相当高的相关系数,分别为R2=0.997 9、R2=0.936 9,其计算结果的平均误差均在±5.0%内。对31批次煤物理特性和化学成分分析标准物质的相关煤质数据的验算具有良好的准确度,表明该经验公式可供快速预测煤的发热量时使用。
Regression analysis was performed on 232 groups of the coal calorific value and the corresponding proximate analysis data. The empirical formula between calorific value and the volatile content and fixed carbon of coal, and the quantitative correlation formula between calorific value and coal ash content were derived, both of them had relatively high correlation coefficients, R^2=0.997 9 and R^2=0.936 9 respectively, the average error of the calculation results was within ＋5.0%. The formulas were testfied to be of good accuracy by calculating the calorific value of 31 standard materials for analysis of physical and chemical compositions of coals. It is shown that the empirical formulas can be used to quickly predict the calorific value of coal.
作者
郑元刚
武琼
李静
梅静洁
许义
蓝天
ZHENG Yuan-gang;WU Qiong;LI Jing;MEI Jing-jie;XU Yi;LAN Tian(The Research Center for Clean Coal Technology ＆ Engineering,Yankuang Group Corporation,Jining 27351G,China;Yankuang Technology Corporation Ltd.,Jinan 250100,China)
出处
《煤质技术》
2018年第5期31-33,37,共4页
Coal Quality Technology
基金
山东省财政厅2016年重点研发计划资助项目(2016ZDJS11A05)
关键词
发热量
工业分析
经验公式
挥发分
固定碳
灰分
回归分析
相关系数
煤质数据
准确度
calorific value
proximate analysis
empirical correlation
volatile matter
fixed carbon
ash content
regression analysis
correlation coefficient
coal quality date
accuracy
