文献类型：期刊文献

英文题名：Modeling study for the effect of particle size on char gasification with CO2

作者：Shen, Zhongjie[1,2];Xu, Jianliang[1,2];Liu, Haifeng[1,2];Liang, Qinfeng[1,2,3]

机构：[1]East China Univ Sci & Technol, Key Lab Coal Gasificat & Energy Chem Engn, Minist Educ, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Shanghai Engn Res Ctr Coal Gasificat, Shanghai 200237, Peoples R China;[3]Chinese Acad Sci, Inst Coal Chem, State Key Lab Coal Convers, Taiyuan, Peoples R China

年份：2017

卷号：63

期号：2

起止页码：716

外文期刊名：AICHE JOURNAL

收录：;EI(收录号：20170103222004);WOS:【SCI-EXPANDED(收录号:WOS:000392844900023)】；

基金：This study was supported by the National Natural Science Foundation of China (U1402272), the Foundation of Shanghai Science and Technology Committee (14dz1200100), the National Natural Science Foundation of China (21376082), and the Foundation of State Key Laboratory of Coal Conversion (Grant No. J16-17-301).

语种：英文

外文关键词：coal; char gasification; particle size; temperature; reaction area

摘要：A high temperature stage microscope to investigate the temperature effect caused by particle size on char gasification is applied in this study. Experiments were carried out with different particle sizes for raw chars and chars on molten slag surface, respectively. Heat transfer models were built for the raw char of two temperature distributions and char particle on molten slag, respectively. Results showed that reaction layer temperature of raw char decreased in the reaction dominant while char on molten slag had higher temperature. Temperature difference between two distributions increased with the initial particle size, indicating the temperature effect on large particles was obvious. Shrinking core model was applied and modified herein coupled with the modification of reaction layer temperature and reaction area. Model prediction and experimental data showed good agreements of carbon conversion and reactivity index for raw char and char on molten slag, respectively. (c) 2016 American Institute of Chemical Engineers AIChE J, 63: 716-724, 2017