文献类型：期刊文献

英文题名：Markov chain model of residence time distribution in a new type entrained-flow gasifier

作者：Guo, Qinghua[1];Liang, Qinfeng[1];Ni, Jianjun[1];Xu, Shouze[1];Yu, Guangsuo[1];Yu, Zunhong[1]

机构：[1]E China Univ Sci & Technol, Inst Clean Coal Technol, Shanghai 200237, Peoples R China

年份：2008

卷号：47

期号：12

起止页码：2061

外文期刊名：CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION

收录：;EI(收录号：20084211644715);WOS:【SCI-EXPANDED(收录号:WOS:000261134000003)】；

基金：Funding for this work is partly supported by Shanghai Morning-Twilight (06SG34) and National Key State Basic Research Development Program of China (973 Program, 2004CB217703).

语种：英文

外文关键词：RTD; Markov chain; Entrained-flow gasifier

摘要：A continuous-time Markov chain has been used to establish the residence time distribution (RTD) model in a new type entrained-flow gasifier, which is called entrained-flow gasifier with opposed multi-burner. According to the measurement results of the flow fields in the gasifier, the state transfer diagram of Markov chain formed in the case of the flow fields are simplified. The results show that this method is feasible in modeling the flow system which consists of ideal mixing cells and plug flow regions. The flow pattern of the gasifier is closed to continuous stirred tank reactor (CSTR). The simulation results are in good agreement with the experimental data. The established model has been applied to forecast the RTD in the industrial gasifier. (C) 2007 Elsevier B.V. All rights reserved.