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高炉煤气蓄热式燃烧化学动力学机理研究
引用本文:王林,柳朝晖,丁翠娇,习志勇,安朝榕,王小成,金国强.高炉煤气蓄热式燃烧化学动力学机理研究[J].工业加热,2014(6):1-5.
作者姓名:王林  柳朝晖  丁翠娇  习志勇  安朝榕  王小成  金国强
作者单位:1. 华中科技大学 煤燃烧国家重点实验室,湖北 武汉 430074; 西安热工研究院有限公司,陕西 西安 710032
2. 华中科技大学 煤燃烧国家重点实验室,湖北 武汉,430074
3. 西安热工研究院有限公司,陕西 西安,710032
摘    要:探讨了低热值煤气蓄热式燃烧的化学动力学特性。针对目前开展蓄热式燃烧数值模拟工作常用的总包化学机理进行优选,并利用PSR反应器对蓄热燃烧典型气氛进行不同时间尺度的演化,分析其主要组分的变化特性。同时将优选出来的总包机理应用到3 MW低热值煤气燃烧炉进行数值模拟预测。结果表明,采用JL机理模拟所得的CO浓度分布与详细化学机理和实验结果接近,而不考虑CO逆反应过程时, LA机理模拟结果显示CO燃烧过快。 JL机理对炉膛全场的温度分布与实验值也更相近,同时炉膛出口处的温度误差为全场误差最大值,约为50 K。 JL机理可以被很好的应用至低热值煤气高温空气燃烧预测。

关 键 词:总包反应机理  蓄热式燃烧  一氧化碳  机理优选

Optimization of Chemical Dynamics Mechanism for Regenerative Combustion of Blast Furnace Gas
WANG Lin,LIU Zhaohui,DING Cuijiao,XI Zhiyong,AN Chaorong,WANG Xiaocheng,JIN Guoqiang.Optimization of Chemical Dynamics Mechanism for Regenerative Combustion of Blast Furnace Gas[J].Industrial Heating,2014(6):1-5.
Authors:WANG Lin  LIU Zhaohui  DING Cuijiao  XI Zhiyong  AN Chaorong  WANG Xiaocheng  JIN Guoqiang
Affiliation:WANG Lin, LIU Zhaohui, DING Cuijiao, XI Zhiyong, AN Chaorong, WANG Xiaocheng, JIN Guoqiang (1. State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, China; 2. Xi' an Thermal Power Research Institute Co. Ltd., Xi' an 710032, China)
Abstract:Characteristic of chemical reaction dynamic for regenerative combustion of blast furnace gas has been investigated in the present work. Different global chemical reaction mechanisms have been optimized and evaluated under different time scale in PSR with a typical species condition. Moreover, the optimized global mechanism has been applied in the numerical works for a 3 MW facility and validated by the experiment. The results show that the CO prediction by JL mechanism agrees better with detailed mechanism calculation and experimental data. And the temperature profile prediction of JL mechanism is better than that of LA. The maximal temperature difference is about 50 K at furnace outlet. It should be noted that JL mechanism can be reasonably applied for major species prediction of regenerative combustion of blast furnace gas.
Keywords:global chemical reaction mechanism  regenerative combustion  carbon oxide  mechanism optimization
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