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煤高温快速热解规律研究
引用本文:刘铁峰,房倚天,王洋.煤高温快速热解规律研究[J].燃料化学学报,2009,37(1):20-25.
作者姓名:刘铁峰  房倚天  王洋
作者单位:1.Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan 030001, China,; 2.Graduate University of Chinese Academy of Sciences, Beijing 100049, China
基金项目:国家重点基础研究发展规划(973计划),中国科学院创新工程方向性项目 
摘    要:利用高温滴管炉在1000℃~1400℃考察了彬县烟煤在高温快速热解过程中失重的变化,同时比较了埃塞俄比亚褐煤和晋城无烟煤的热解规律。结果表明,热解失重率随温度的升高而增加,而且各种煤种的最大失重率在高温下大于工业分析的失重率。对于不同变质程度的煤种其热解特性也不相同,较低的热解温度对高阶煤的影响较小。彬县原煤经过热解后比表面积增加,且随着热解温度的提高而增大,当热解温度超过灰熔点时,总比表面积降低。通过数据回归,得到了三种煤的失重率和热解温度的关联式。

关 键 词:快速热解  挥发分  高温  
收稿时间:2008-05-13
修稿时间:2008-08-19

Rapid pyrolysis of coal at high temperature
LIU Tie-feng,FANG Yi-tian,WANG Yang.Rapid pyrolysis of coal at high temperature[J].Journal of Fuel Chemistry and Technology,2009,37(1):20-25.
Authors:LIU Tie-feng  FANG Yi-tian  WANG Yang
Institution:1.Institute of Coal Chemistry;Chinese Academy of Sciences;Taiyuan 030001;China;2.Graduate University of Chinese Academy of Sciences;Beijing 100049;China
Abstract:Rapid pyrolysis of two Chinese coals (Binxian bitumite and Jincheng anthracite) and one Ethiopian lignite were carried out by using a drop tube furnace reactor at 1000℃~1400℃ and atmospheric pressure. The specific surface area and pore structure of the coke from the pyrolysis were measured with carbon dioxide absorption at 273K. It was found that the weight loss of coal increases with the pyrolysis temperature; the weight loss of all the three coals from pyrolysis at high temperature exceeds their respective volatile matter contents from the proximate analysis. However, the three coals of different ranks are also different in the pyrolysis characteristics. The specific surface area of Binxian coal increases after pyrolysis; however, it may decrease when the pyrolysis temperature was higher than the ash melting temperature. SEM characterization indicates that the ash on the surface of Binxian char is in fusion state at high temperature. Furthermore, the correlations between the weight loss and pyrolysis temperature for the three coals was obtained through data regression.
Keywords:rapid pyrolysis  volatile  high temperature  
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