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煤中氮在热解过程中释放规律的数学模拟
引用本文:王庆,冯杰,李文英,谢克昌.煤中氮在热解过程中释放规律的数学模拟[J].煤炭转化,2003,26(4):31-36.
作者姓名:王庆  冯杰  李文英  谢克昌
作者单位:煤科学与技术教育部和山西省重点实验室,太原理工大学,030024,太原
基金项目:国家重点基础研究发展规划项目 973子课题 (G19990 2 2 10 1),山西省归国留学人员基金资助项目 (2 0 0 0 2 9),山西省自然科学基金资助项目 (9810 2 4)
摘    要:以化学渗透模型(CPD)为基础构建煤的结构,以实验数据为基础,通过对煤中氮在热解阶段反应历程的描述,以及对NOx的主要前驱体HCN和NH3生成的动力学表达,建立了煤热解阶段氮释放的模型,将模型的计算结果与五种煤在管式固定床反应器中热解阶段形成HCN和NHx的测定结果进行比较,研究发现:模型能够相对准确的预测HCN形成(误差在20%以内),但由于没有考虑惰质组的影响,对部分煤NHx的模拟误差较大(甚至超过50%),模型也表达出在快速热解条件下随温度升高,HCN和NHx的生成量增加;随煤阶增加,HCN生成量减少;随惰质组含量增加,NHx的生成量增加的释放规律。

关 键 词:    热解过程  释放规律  数学模拟  化学渗透模型  HCN  NH3
修稿时间:2003年6月20日

MATHEMATIC SIMULATION OF NITROGEN RELEASE RULE DURING COAL PYROLYSIS
Wang Qing Feng Jie Li Wenying and Xie Kechang.MATHEMATIC SIMULATION OF NITROGEN RELEASE RULE DURING COAL PYROLYSIS[J].Coal Conversion,2003,26(4):31-36.
Authors:Wang Qing Feng Jie Li Wenying and Xie Kechang
Abstract:Due to the complexity of nitrogen released reaction in coal and the lack of effective experimental methods,there is less sound understanding for the formation and release of precursors of NO_ x ,which are HCN and NH_3,during coal pyrolysis.In this paper,a mathematic model that describes the reaction route of nitrogen and predicts the formation of HCN and NH_3 by kinetics during coal pyrolysis has been developed based on the CPD model.Comparison of simulation of HCN and NH_3 values with experimental data from pyrolysis experiments of five coals in the tubular fixed-bed reactor indicates the model can correctly predict the formation HCN,which a relatively big error of NH_3 formation is made because of less considering the effect of the inertinite in coal.Moreover,the model gives a rule of nitrogen release during fast pyrolysis:the yield of HCN and NH_3 increases with an increase of temperature,but the yield of HCN decreases with the increase of coal rank that has a strong relation with the amount of volatiles in coal,the inertinite-rich coal tends to release more NH_3 that is strongly subjeted to the properties of coal char.
Keywords:coal  pyrolysis  HCN  NH_3  modelling
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