Knowledge Management System Of Institute of process engineering,CAS
Energy-minimization multiscale based mesoscale modeling and applications in gas-fluidized catalytic reactors | |
Lu, Bona1,2; Niu, Yan1,3; Chen, Feiguo1; Ahmad, Nouman1,4; Wang, Wei1,3; Li, Jinghai1 | |
2019-11-01 | |
Source Publication | REVIEWS IN CHEMICAL ENGINEERING
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ISSN | 0167-8299 |
Volume | 35Issue:8Pages:879-915 |
Abstract | Gas-solid fluidization is intrinsically dynamic and manifests mesoscale structures spanning a wide range of length and timescales. When involved with reactions, more complex phenomena emerge and thus pose bigger challenges for modeling. As the mesoscale is critical to understand multiphase reactive flows, which the conventional two-fluid model without mesoscale modeling may be inadequate to resolve even using extremely fine grids, this review attempts to demonstrate that the energy-minimization multiscale (EMMS) model could be a starting point to develop such mesoscale modeling. Then, the EMMS-based mesoscale modeling with emphasis on formulation of drag coefficients for different fluidization regimes, modification of mass transfer coefficient, and other extensions are discussed in an attempt to resolve the emerging challenges. Its applications with examples of development of novel fluid catalytic cracking and methanol-to-olefins processes prove that the mesoscale modeling plays a remarkable role in improving the predictions in hydrodynamic behaviors and overall reaction rate. However, the product content primarily depends on the chemical kinetic model itself, suggesting the necessity of an effective coupling between chemical kinetics and flow characteristics. The mesoscale modeling can be believed to accelerate the traditional experimental-based scale-up process with much lower cost in the future. |
Keyword | EMMS fluidization gas catalytic reaction mesoscale simulation TFM |
DOI | 10.1515/revce-2017-0023 |
Language | 英语 |
WOS Keyword | DISCRETE PARTICLE SIMULATION ; STRUCTURE-DEPENDENT DRAG ; FILTERED 2-FLUID MODELS ; MASS-TRANSFER MODEL ; SOLID RISER FLOWS ; CFD-SIMULATION ; KINETIC-THEORY ; IN-CELL ; HETEROGENEOUS STRUCTURE ; TURBULENT FLUIDIZATION |
Funding Project | National Natural Science Foundation of China[21576263] ; National Natural Science Foundation of China[21625605] ; National Natural Science Foundation of China[91834302] ; Youth Innovation Promotion Association CAS[2015033] ; "Transformational Technologies for Clean Energy and Demonstration" Strategic Priority Research Program of the Chinese Academy of Sciences[XDA21030700] |
WOS Research Area | Engineering |
WOS Subject | Engineering, Chemical |
Funding Organization | National Natural Science Foundation of China ; Youth Innovation Promotion Association CAS ; "Transformational Technologies for Clean Energy and Demonstration" Strategic Priority Research Program of the Chinese Academy of Sciences |
WOS ID | WOS:000494704900002 |
Publisher | WALTER DE GRUYTER GMBH |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.ipe.ac.cn/handle/122111/38938 |
Collection | 中国科学院过程工程研究所 |
Corresponding Author | Lu, Bona |
Affiliation | 1.Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing 100190, Peoples R China 2.Dalian Natl Lab Clean Energy, Dalian 116023, Peoples R China 3.Univ Chinese Acad Sci, Sino Danish Coll, Beijing 100049, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
Recommended Citation GB/T 7714 | Lu, Bona,Niu, Yan,Chen, Feiguo,et al. Energy-minimization multiscale based mesoscale modeling and applications in gas-fluidized catalytic reactors[J]. REVIEWS IN CHEMICAL ENGINEERING,2019,35(8):879-915. |
APA | Lu, Bona,Niu, Yan,Chen, Feiguo,Ahmad, Nouman,Wang, Wei,&Li, Jinghai.(2019).Energy-minimization multiscale based mesoscale modeling and applications in gas-fluidized catalytic reactors.REVIEWS IN CHEMICAL ENGINEERING,35(8),879-915. |
MLA | Lu, Bona,et al."Energy-minimization multiscale based mesoscale modeling and applications in gas-fluidized catalytic reactors".REVIEWS IN CHEMICAL ENGINEERING 35.8(2019):879-915. |
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