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Long-time simulation of catalytic MTO reaction in a fluidized bed reactor with a coarse-grained discrete particle method - EMMS-DPM

文献类型：期刊论文

作者Liu, Xingchi1,2; Xu, Ji1; Ge, Wei1,2,3; Lu, Bona1,4; Wang, Wei1,2
刊名CHEMICAL ENGINEERING JOURNAL
出版日期2020-06-01
卷号389页码:12
关键词Long-time simulation Discrete particle method MTO Coke distribution
ISSN号1385-8947
DOI10.1016/j.cej.2020.124135
英文摘要Long-time behaviors widely exist in gas-solid reactors, e.g., the coke deposition and catalyst deactivation in the methanol to olefins (MTO) process. Due to the limitation of the computational cost, previous simulations of MTO reactors were mainly conducted with two-fluid model at short-time scales and assumed that the catalyst are perfectly mixed. Efficient simulation methods are, therefore, highly desirable, even for evaluating the assumptions through very long-time investigation. In this study, the MTO reaction kinetics is incorporated into a coarse-grained discrete particle method, namely EMMS-DPM, to simulate a pilot-scale reactor for 8 h of physical time. The simulation is validated by comparing the obtained gaseous products and coke contents with the experimental data. The perfect mixing assumption is validated by observing the residence time distribution of the catalyst for the whole reactor. The detailed coke content could provide more accurate data for accelerating steady state simulations. Furthermore, the relation between the coke content and age of the catalyst is directly obtained for the first time, which is valuable to effective use of the catalyst before discharging. The coke content is positively correlated to the age, but is also influenced by local conditions. For example, near the distributor, the catalyst particles are not well mixed and the maximum reaction rate fluctuates significantly even at large time scales. Thus, long-time particle-scale simulation would provide more dynamic details to characterize the reaction in the critical regions of the reactor, thus being very helpful to optimize operating conditions and the reactor designs.
WOS关键词GAS-SOLID FLOW ; CFD-DEM SIMULATION ; NUMERICAL-SIMULATION ; RESIDENCE-TIME ; MODEL ; VALIDATION ; MULTISCALE ; METHANOL ; RISER ; PERFORMANCE
资助项目Transformational Technologies for Clean Energy and Demonstration, Strategic Priority Research Program of the Chinese Academy of Sciences (CAS)[XDA21030700] ; Key Research Program of Frontier Science, Chinese Academy of Sciences (CAS)[QYZDJ-SSW-JSC029] ; National Key Research and Development Program of China[2017YFB0202203] ; National Natural Science Foundation of China[91834303] ; Chinese Academy of Sciences (CAS)[XXH13506-301]
WOS研究方向Engineering
语种英语
WOS记录号WOS:000519528800090
出版者ELSEVIER SCIENCE SA
资助机构Transformational Technologies for Clean Energy and Demonstration, Strategic Priority Research Program of the Chinese Academy of Sciences (CAS) ; Key Research Program of Frontier Science, Chinese Academy of Sciences (CAS) ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS)
源URL[http://ir.ipe.ac.cn/handle/122111/39745]  
专题中国科学院过程工程研究所
通讯作者Xu, Ji; Ge, Wei
作者单位1.Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Chem Engn, Beijing 100049, Peoples R China
3.Collaborat Innovat Ctr Chem Sci & Engn Tianjin, Tianjin 300072, Peoples R China
4.Dalian Natl Lab Clean Energy, Dalian 116023, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Xingchi,Xu, Ji,Ge, Wei,et al. Long-time simulation of catalytic MTO reaction in a fluidized bed reactor with a coarse-grained discrete particle method - EMMS-DPM[J]. CHEMICAL ENGINEERING JOURNAL,2020,389:12.
APA Liu, Xingchi,Xu, Ji,Ge, Wei,Lu, Bona,&Wang, Wei.(2020).Long-time simulation of catalytic MTO reaction in a fluidized bed reactor with a coarse-grained discrete particle method - EMMS-DPM.CHEMICAL ENGINEERING JOURNAL,389,12.
MLA Liu, Xingchi,et al."Long-time simulation of catalytic MTO reaction in a fluidized bed reactor with a coarse-grained discrete particle method - EMMS-DPM".CHEMICAL ENGINEERING JOURNAL 389(2020):12.

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来源：过程工程研究所

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