配煤时石灰石添加量的预测模型及其可靠性论证
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摘要
基于山西及周边地区142组煤样的分析数据,通过线性回归方法建立了两个配煤时石灰石添加量的预测模型,为甲地区煤的工业生产配煤提供指导。随机选取甲地区6个煤样对两个模型的可靠性进行验证。结果表明,模型1的计算值最大偏离48℃,平均偏离率1.46%;模型2的计算值最大偏离44℃,平均偏离率1.38%。两个预测模型针对配煤时石灰石添加量的计算结果可靠,模型二更加准确。
Based on 142 sets of coal sample in Shanxi and the surrounding areas, two forecasting models of limestone addition has been established. They could be used as guidelines of coal blending in region A. Verifying the two models reliability by six coal samples in region A, the calculated maximum deviation rate of the model 1 was 48℃, the average was 1.46%; the calculated maximum deviation rate of the model 2 was 44℃, the average was 1.38%. The results showed thatthe model 2 was more accurate than the model 1.
Based on 142 sets of coal sample in Shanxi and the surrounding areas, two forecasting models of limestone addition has been established. They could be used as guidelines of coal blending in region A. Verifying the two models reliability by six coal samples in region A, the calculated maximum deviation rate of the model 1 was 48℃, the average was 1.46%; the calculated maximum deviation rate of the model 2 was 44℃, the average was 1.38%. The results showed thatthe model 2 was more accurate than the model 1.
引文
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[3]孙钟华,代正华,周志杰等.灰含量及助熔剂对气流床粉煤气化炉性能的影响[J].中国电机工程学报,2011,31(20):7-12.
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[5]Russell N V,Vigley F,Wiliamson J.The roles of lime and iron oxide on the formation of ash deposits in PF combustion[J].Fuel,2002,81:673-681.
[6]张高波,潘习银,徐阳.安庆化肥原料煤配石灰石后灰熔点实验与探讨[J].大氮肥,2007,30(2):101-104.
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