摘要
以181种煤样的灰流动温度为基础,通过多元线性拟合以及逐步回归法,建立了关联各煤灰氧化物成分以及煤灰酸碱比的流动温度预测模型,相关性系数达0.934,该模型预测值与实验结果有较好的一致性。利用FactSage软件计算出液相线温度,建立流动温度与液相线温度之间的关联公式,相关性系数达0.924,说明该关联式同样具有较好的预测效果。
Ash flow temperature （FF） is an important index for coal gasification, determining the slagging model of coal-combustion and gasification process. On the basis of flow temperature of 181 coal ash samples, the FF prediction model associated with ash composition and acid/basic ratio was set up. The correlation coefficient is 0.934, indicating the FT prediction values is in good agreement with the experiment values. The liquidus temperature was calculated by FactSage software. The formula between FT and the liquidus temperature was established, and the correlation coefficient is 0.924.
出处
《燃料化学学报》
EI
CAS
CSCD
北大核心
2012年第12期1415-1421,共7页
Journal of Fuel Chemistry and Technology
基金
国家自然科学基金(21176078)
国家重点基础研究发展规划(973计划
2010CB227005)
