Experimental investigation on coal devolatilization at high temperatures with different heating rates

被引:55
|
作者
Yan, Bin-Hang [1 ]
Cao, Chen-Xi [1 ]
Cheng, Yan [1 ]
Jin, Yong [1 ]
Cheng, Yi [1 ]
机构
[1] Tsinghua Univ, Dept Chem Engn, Beijing Key Lab Green Chem React Engn & Technol, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Coal; Fast pyrolysis; Plasma pyrolysis; High temperature; Heating rate; THERMAL PLASMA REACTORS; FLASH PYROLYSIS; BROWN-COAL; FLUIDIZED-BED; ACETYLENE; CONVERSION; PRODUCTS; LIGNITE; MODEL; TAR;
D O I
10.1016/j.fuel.2013.08.016
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Experiments were carried out in a drop tube furnace and a lab-scale plasma reactor to investigate the effects of coal properties, particle ultimate temperature and heating rate (i.e., 10(-1) to 10(1) K/s for slow pyrolysis, 10(2) to 10(4) K/s for fast pyrolysis and 10(4) to 10(6) K/s for rapid plasma pyrolysis processes) on coal devolatilization performances. The results revealed that fast pyrolysis of coal would greatly increase the yield of light gases compared to slow pyrolysis process. The increased yield of light gases strongly depended on the coal rank and mainly came from the secondary tar cracking reactions. The comparisons of slow pyrolysis, fast pyrolysis and rapid plasma pyrolysis processes indicated that the major effect of the increased heating rate was to raise the carbon conversion to light gases and then greatly increase the yields of gaseous hydrocarbons correspondingly. In addition, fast pyrolysis behaved much closer to plasma pyrolysis for the coals with the volatile matter content higher than 37%. Therefore, understanding on the fast pyrolysis in a drop tube furnace could help to provide a simple, quick method for preliminary selection of coal rank for plasma pyrolysis process. Finally, a comprehensive single-particle heat transfer mechanism model was established to further discover the effect of heating rate on coal devolatilization and to improve the accuracy of the proposed coal rank selection method. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1215 / 1222
页数:8
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