CAS OpenIR
Long-time simulation of catalytic MTO reaction in a fluidized bed reactor with a coarse-grained discrete particle method - EMMS-DPM
Liu, Xingchi1,2; Xu, Ji1; Ge, Wei1,2,3; Lu, Bona1,4; Wang, Wei1,2
2020-06-01
Source PublicationCHEMICAL ENGINEERING JOURNAL
ISSN1385-8947
Volume389Pages:12
AbstractLong-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.
KeywordLong-time simulation Discrete particle method MTO Coke distribution
DOI10.1016/j.cej.2020.124135
Language英语
WOS KeywordGAS-SOLID FLOW ; CFD-DEM SIMULATION ; NUMERICAL-SIMULATION ; RESIDENCE-TIME ; MODEL ; VALIDATION ; MULTISCALE ; METHANOL ; RISER ; PERFORMANCE
Funding ProjectTransformational 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 Research AreaEngineering
WOS SubjectEngineering, Environmental ; Engineering, Chemical
Funding OrganizationTransformational 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)
WOS IDWOS:000519528800090
PublisherELSEVIER SCIENCE SA
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/39746
Collection中国科学院过程工程研究所
Corresponding AuthorXu, Ji; Ge, Wei
Affiliation1.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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liu, Xingchi]'s Articles
[Xu, Ji]'s Articles
[Ge, Wei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu, Xingchi]'s Articles
[Xu, Ji]'s Articles
[Ge, Wei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu, Xingchi]'s Articles
[Xu, Ji]'s Articles
[Ge, Wei]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.