Energy-minimization multiscale based mesoscale modeling and applications in gas-fluidized catalytic reactors

doi:10.1515/revce-2017-0023

	Energy-minimization multiscale based mesoscale modeling and applications in gas-fluidized catalytic reactors
	Lu, Bona 3,4; Niu, Yan 1,3; Chen, Feiguo 3; Ahmad, Nouman 2,3; Wang, Wei 1,3; Li, Jinghai 3
刊名	REVIEWS IN CHEMICAL ENGINEERING
	2019-11-01
卷号	35 期号:8 页码:879-915
关键词	EMMS fluidization gas catalytic reaction mesoscale simulation TFM
ISSN号	0167-8299
DOI	10.1515/revce-2017-0023
英文摘要	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.
资助项目	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关键词	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
WOS研究方向	Engineering
语种	英语
出版者	WALTER DE GRUYTER GMBH
WOS记录号	WOS:000494704900002
资助机构	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
内容类型	期刊论文
源URL	[http://ir.ipe.ac.cn/handle/122111/38937]
专题	中国科学院过程工程研究所
通讯作者	Lu, Bona
作者单位	1.Univ Chinese Acad Sci, Sino Danish Coll, Beijing 100049, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing 100190, Peoples R China 4.Dalian Natl Lab Clean Energy, Dalian 116023, Peoples R China
推荐引用方式 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.