Journal of South China University of Technology (Natural Science Edition) ›› 2016, Vol. 44 ›› Issue (11): 49-55.doi: 10.3969/j.issn.1000-565X.2016.11.008

• Chemistry & Chemical Engineering • Previous Articles     Next Articles

Analysis of Combustion Characteristics of Coal Chars in O2 /CO2 via a Modified Discrete Random Pore Model

FEI Hua LI Pei-sheng ZAHNG Ying   

  1. Research Institute of Thermal Energy and Power Engineering,Nanchang University,Nanchang 330031,Jiangxi,China
  • Received:2016-05-16 Revised:2016-07-08 Online:2016-11-25 Published:2016-10-04
  • Contact: 李培生( 1969-) ,男,教授,博士生导师,主要从事煤及生物质燃烧机理研究. E-mail:lps20150331@163.com
  • About author:费华( 1981-) ,男,博士后,副教授,现任职于江西理工大学,主要从事煤燃烧动力学及机理研究. E-mail:feihua0928@163. com
  • Supported by:
    Supported by the National Natural Science Foundation of China( 51666004, 51566012) ,China Postdoctoral Science Foundation( 2015M571991) , the Natural Science Foundation of Jiangxi Province( 20151BAB206048,20142BAB203029) and the Project of Jiangxi Province Education Development Fund( GJJ15026)

Abstract:

The combustion characteristics of the Xiaolongtan lignite and Jiaozuo anthracite chars in O2 /CO2 were investigated by using a thermogravimetric analyzer.On the basis of the key relationship between the reaction rate and the pore surface area of coal chars,the effective reaction surface area of coal chars during the combustion was revised in a small increment of time,and a stochastic differential equation is solved by means of differential increment analysis method.Finally,a modified discrete random pore model was constructed to analyze the combustion characteristics of the Xiaolongtan lignite and Jiaozuo anthracite chars in O2 /CO2 at different temperatures.By comparing the modified model with the existing discrete random pore model,it is found that the modified model has a better prediction results during the whole combustion process of coal chars,while the values predicted by the existing discrete random pore model show a larger deviation from the experimental data at the later combustion stage.

Key words: coal char, combustion characteristic, modified discrete random pore model, thermogravimetric analysis