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Zhou L, Ma H, Liu Z, Zhao Y. Development and verification of coarse‐grain CFD‐DEM for non‐spherical particles in a gas‐solid fluidized bed. AIChE J 2022. [DOI: 10.1002/aic.17876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Lianyong Zhou
- Institute of Process Equipment, College of Energy Engineering Zhejiang University Hangzhou China
| | - Huaqing Ma
- Institute of Process Equipment, College of Energy Engineering Zhejiang University Hangzhou China
| | - Zihan Liu
- Institute of Process Equipment, College of Energy Engineering Zhejiang University Hangzhou China
| | - Yongzhi Zhao
- Institute of Process Equipment, College of Energy Engineering Zhejiang University Hangzhou China
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2
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Liu X, Zhu A, Yang L, Xu J, Li H, Ge W, Ye M. Numerical simulation of commercial MTO fluidized bed reactor with a coarse-grained discrete particle method — EMMS–DPM. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2022.117576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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3
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Xiao H, Zhang Y, Wang J. Correlating measurement qualities of cross-correlation based solids velocimetry with solids convection-mixing competing mechanism in different gas fluidization regimes. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.117602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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4
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Li S, Zhao P, Xu J, Zhang L, Wang J. CFD-DEM simulation of polydisperse gas-solid flow of Geldart A particles in bubbling micro-fluidized beds. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.117551] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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5
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Chen J, Ren Y, Huang WL, Zhang L, Li J. Multilevel Mesoscale Complexities in Mesoregimes: Challenges in Chemical and Biochemical Engineering. Annu Rev Chem Biomol Eng 2022; 13:431-455. [PMID: 35378042 DOI: 10.1146/annurev-chembioeng-092220-115031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This review discusses the complex behaviors in diverse chemical and biochemical systems to elucidate their commonalities and thus help develop a mesoscience methodology to address the complexities in even broader topics. This could possibly build a new scientific paradigm for different disciplines and could meanwhile provide effective tools to tackle the big challenges in various fields, thus paving a path toward combining the paradigm shift in science with the breakthrough in technique developments. Starting with our relatively fruitful understanding of chemical systems, the discussion focuses on the relatively pristine but very intriguing biochemical systems. It is recognized that diverse complexities are multilevel in nature, with each level being multiscale and the complexity emerging always at mesoscales in mesoregimes. Relevant advances in theoretical understandings and mathematical tools are summarized as well based on case studies, and the convergence between physics and mathematics is highlighted. Expected final online publication date for the Annual Review of Chemical and Biomolecular Engineering, Volume 13 is October 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Jianhua Chen
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, People's Republic of China;
| | - Ying Ren
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, People's Republic of China;
| | - Wen Lai Huang
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, People's Republic of China;
| | - Lin Zhang
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, People's Republic of China;
| | - Jinghai Li
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, People's Republic of China;
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6
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A particle location based multi-level coarse-graining technique for Discrete Element Method (DEM) simulation. POWDER TECHNOL 2022. [DOI: 10.1016/j.powtec.2021.117058] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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7
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Lu L, Gao X, Dietiker JF, Shahnam M, Rogers WA. Machine learning accelerated discrete element modeling of granular flows. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116832] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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8
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Experiment and computational fluid dynamics investigation of biochar elutriation in fluidized bed. AIChE J 2021. [DOI: 10.1002/aic.17506] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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9
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Lan B, Xu J, Zhao P, Zou Z, Wang J, Zhu Q. Scale-up effect of residence time distribution of polydisperse particles in continuously operated multiple-chamber fluidized beds. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116809] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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10
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Direct comparison of CFD-DEM simulation and experimental measurement of Geldart A particles in a micro-fluidized bed. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116725] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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11
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Zhao B, Wang J. Statistical foundation of EMMS-based two-fluid models for heterogeneous gas-solid flow. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116678] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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12
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13
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Yu Y, Li Y, Chen X, Duan F, Zhou Q. Improvement of the Coarse-Grained Discrete Element Method for Frictional Particles. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.0c06340] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Yaxiong Yu
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
| | - Yu Li
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
| | - Xiao Chen
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
| | - Fan Duan
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
| | - Qiang Zhou
- School of Chemical Engineering and Technology, Xi’an Jiaotong University, Xi’an 710049, China
- State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
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14
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Experimental and numerical study of the characteristics of the forced oscillation in a pulsation fluidized bed (PFB) for coal separation. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116459] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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15
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Li JS, Zhu LT, Yan WC, Rashid TAB, Xu QJ, Luo ZH. Coarse-grid simulations of full-loop gas-solid flows using a hybrid drag model: Investigations on turbulence models. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.10.052] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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16
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Abstract
In the last decade, a few of the early attempts to bring CFD-DEM of fluidized beds beyond the limits of small, lab-scale units to larger scale systems have become popular. The simulation capabilities of the Discrete Element Method in multiphase flow and fluidized beds have largely benefitted by the improvements offered by coarse graining approaches. In fact, the number of real particles that can be simulated increases to the point that pilot-scale and some industrially relevant systems become approachable. Methodologically, coarse graining procedures have been introduced by various groups, resting on different physical backgrounds. The present review collects the most relevant contributions, critically proposing them within a unique, consistent framework for the derivations and nomenclature. Scaling for the contact forces, with the linear and Hertz-based approaches, for the hydrodynamic and cohesive forces is illustrated and discussed. The orders of magnitude computational savings are quantified as a function of the coarse graining degree. An overview of the recent applications in bubbling, spouted beds and circulating fluidized bed reactors is presented. Finally, new scaling, recent extensions and promising future directions are discussed in perspective. In addition to providing a compact compendium of the essential aspects, the review aims at stimulating further efforts in this promising field.
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17
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Lungu M, Siame J, Mukosha L. Comparison of CFD-DEM and TFM approaches for the simulation of the small scale challenge problem 1. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.09.071] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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18
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EMMS-based modeling of gas–solid generalized fluidization: Towards a unified phase diagram. Chin J Chem Eng 2021. [DOI: 10.1016/j.cjche.2020.07.057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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19
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Kuang S, Li K, Shrestha S, Yu A. Discrete particle simulation of heterogeneous gas-solid flows in riser and downer reactors. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.07.080] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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20
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Yu Y, Li Y, Jiang M, Zhou Q. Meso-scale drag model designed for coarse-grid Eulerian-Lagrangian simulation of gas-solid flows. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115747] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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21
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Jurtz N, Kruggel-Emden H, Baran O, Aglave R, Cocco R, Kraume M. Impact of Contact Scaling and Drag Calculation on the Accuracy of Coarse‐Grained Discrete Element Method. Chem Eng Technol 2020. [DOI: 10.1002/ceat.202000055] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Nico Jurtz
- Technische Universität Berlin Chair of Chemical & Process Engineering Fraunhoferstrasse 33–36 10587 Berlin Germany
| | - Harald Kruggel-Emden
- Technische Universität Berlin Chair of Mechanical Process Engineering & Processing Ernst-Reuter-Platz 1 10587 Berlin Germany
| | - Oleh Baran
- Siemens Digital Industries Software 21 Lafayette St. NH 03766 Lebanon USA
| | - Ravindra Aglave
- Siemens Digital Industries Software 7906 North Sam Houston Pkwy W TX 77064 Houston USA
| | - Ray Cocco
- Particulate Solid Research Inc. 4201 W 36th St IL 60632 Chicago USA
| | - Matthias Kraume
- Technische Universität Berlin Chair of Chemical & Process Engineering Fraunhoferstrasse 33–36 10587 Berlin Germany
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22
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Lan B, Xu J, Zhao P, Zou Z, Zhu Q, Wang J. Long-time coarse-grained CFD-DEM simulation of residence time distribution of polydisperse particles in a continuously operated multiple-chamber fluidized bed. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115599] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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23
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Development and confirmation of a simple procedure to measure solids distribution in fluidized beds using tracer particles. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115501] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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24
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25
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Lu L, Yu J, Gao X, Xu Y, Shahnam M, Rogers WA. Experimental and numerical investigation of sands and Geldart A biomass co‐fluidization. AIChE J 2020. [DOI: 10.1002/aic.16969] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Liqiang Lu
- National Energy Technology Laboratory Morgantown West Virginia US
- Leidos Research Support Team Morgantown West Virginia US
| | - Jia Yu
- National Energy Technology Laboratory Morgantown West Virginia US
| | - Xi Gao
- National Energy Technology Laboratory Morgantown West Virginia US
- Leidos Research Support Team Morgantown West Virginia US
| | - Yupeng Xu
- National Energy Technology Laboratory Morgantown West Virginia US
- Leidos Research Support Team Morgantown West Virginia US
| | - Mehrdad Shahnam
- National Energy Technology Laboratory Morgantown West Virginia US
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26
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Yang Y, Xu J, Liu Z, Guo Q, Ye M, Wang G, Gao J, Wang J, Shu Z, Ge W, Liu Z, Wang F, Li YW. Progress in coal chemical technologies of China. REV CHEM ENG 2019. [DOI: 10.1515/revce-2017-0026] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
China’s unique energy reserve structure abundant in coal and scarce in crude oil and natural gas has promoted heavy investment on the research and development of clean coal chemical technologies during last two decades, which has turned China into a heartland for demonstrating, developing, and commercializing virtually every aspect of new coal chemical process technologies. Consequently, breakthroughs in coal gasification, indirect and direct coal-to-liquid (CTL) processes, and methanol-to-olefins (MTO) technologies are catching attention worldwide. Gasification technology for syngas production is the key to high plant availability and economic success for most coal chemical projects. During the past 20 years, both international and Chinese gasifier vendors have reaped great successes in licensing their technologies in the domestic market. Notably, the local vendors have been investing heavily on inventing and improving their technologies to suit the specific requirement of gasifying a variety of coals. The opposed multinozzle gasification technology from East China University of Science and Technology was taken as an example to demonstrate the recent development in this field. The coal chemical industry in China has witnessed several notable achievements in chemical engineering progress, namely CTL (indirect and direct) and MTO. Comprehensive reviews on topics such as catalysis, kinetics, and reactor design and process integration will be provided by leading scientists in related fields with firsthand information to showcase the contributions of Chinese researchers to chemical engineering science and technology.
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27
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An EMMS drag model for coarse grid simulation of polydisperse gas–solid flow in circulating fluidized bed risers. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2019.06.037] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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28
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CFD simulations of a full-loop CFB reactor using coarse-grained Eulerian–Lagrangian dense discrete phase model: Effects of modeling parameters. POWDER TECHNOL 2019. [DOI: 10.1016/j.powtec.2019.06.016] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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29
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A material-property-dependent sub-grid drag model for coarse-grained simulation of 3D large-scale CFB risers. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2019.04.026] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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30
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31
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32
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Coarse grain 3D CFD-DEM simulation and validation with capacitance probe measurements in a circulating fluidized bed. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2018.11.052] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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33
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Influences of operating parameters on the fluidized bed coal gasification process: A coarse-grained CFD-DEM study. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2018.10.015] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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34
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Lu B, Niu Y, Chen F, Ahmad N, Wang W, Li J. Energy-minimization multiscale based mesoscale modeling and applications in gas-fluidized catalytic reactors. REV CHEM ENG 2019. [DOI: 10.1515/revce-2017-0023] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
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.
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Affiliation(s)
- Bona Lu
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering , Chinese Academy of Sciences , Beijing 100190 , China
- Dalian National Laboratory for Clean Energy , Dalian 116023 , China
| | - Yan Niu
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering , Chinese Academy of Sciences , Beijing 100190 , China
- Sino-Danish College , University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Feiguo Chen
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering , Chinese Academy of Sciences , Beijing 100190 , China
| | - Nouman Ahmad
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering , Chinese Academy of Sciences , Beijing 100190 , China
- University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Wei Wang
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering , Chinese Academy of Sciences , Beijing 100190 , China
- Sino-Danish College , University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Jinghai Li
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering , Chinese Academy of Sciences , Beijing 100190 , China
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35
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Numerical and experimental comparison of tracer particle and averaging techniques for particle velocities in a fluidized bed. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2018.09.034] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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36
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Gao X, Li T, Sarkar A, Lu L, Rogers WA. Development and validation of an enhanced filtered drag model for simulating gas-solid fluidization of Geldart A particles in all flow regimes. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2018.03.038] [Citation(s) in RCA: 98] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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37
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Wang S, Luo K, Hu C, Fan J. Particle-Scale Investigation of Heat Transfer and Erosion Characteristics in a Three-Dimensional Circulating Fluidized Bed. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b00353] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Shuai Wang
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, People’s Republic of China
| | - Kun Luo
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, People’s Republic of China
| | - Chenshu Hu
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, People’s Republic of China
| | - Jianren Fan
- State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, People’s Republic of China
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38
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Lu L, Xu Y, Li T, Benyahia S. Assessment of different coarse graining strategies to simulate polydisperse gas-solids flow. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2018.01.003] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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39
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Li J, Huang W. From Multiscale to Mesoscience: Addressing Mesoscales in Mesoregimes of Different Levels. Annu Rev Chem Biomol Eng 2018; 9:41-60. [PMID: 29553825 DOI: 10.1146/annurev-chembioeng-060817-084249] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This review covers three decades of research on mesoscale phenomena in chemical engineering, from the energy minimization multiscale (EMMS) model specific for gas-solid fluidization to a general principle of compromise in competition between dominant mechanisms, leading to the proposed concept of mesoscience. First, the concept of mesoscales is reviewed with respect to their commonality, diversity, and misunderstanding in different fields. Then, the evolution from the EMMS model to the EMMS principle common to all mesoscales is described to show the rationale of mesoscience referring to both mesoscales and mesoregimes. Finally, the potential universality of mesoscience and its importance, particularly to enable virtual process engineering (VPE) by realizing the consistency of logic and structure between the problem, the model, the software, and the computer, are discussed. The review concludes by illustrating possible case studies to collect more evidence and a potential framework for mesoscience.
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Affiliation(s)
- Jinghai Li
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, People's Republic of China; ,
| | - Wenlai Huang
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, People's Republic of China; ,
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40
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Method to estimate uncertainty associated with parcel size in coarse discrete particle simulation. AIChE J 2018. [DOI: 10.1002/aic.16100] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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41
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Xu Y, Musser J, Li T, Gopalan B, Panday R, Tucker J, Breault G, Clarke MA, Rogers WA. Numerical Simulation and Experimental Study of the Gas–Solid Flow Behavior Inside a Full-Loop Circulating Fluidized Bed: Evaluation of Different Drag Models. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.7b03817] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Yupeng Xu
- National Energy Technology Laboratory, Morgantown, West Virginia 26505, United States
| | - Jordan Musser
- National Energy Technology Laboratory, Morgantown, West Virginia 26505, United States
| | - Tingwen Li
- National Energy Technology Laboratory, Morgantown, West Virginia 26505, United States
- AECOM, Morgantown, West Virginia 26505, United States
| | - Balaji Gopalan
- National Energy Technology Laboratory, Morgantown, West Virginia 26505, United States
- West Virginia University Research Corporation, Morgantown, West Virginia 26506, United States
| | - Rupen Panday
- National Energy Technology Laboratory, Morgantown, West Virginia 26505, United States
- REM Engineering Services, Morgantown, West Virginia 26506, United States
| | - Jonathan Tucker
- National Energy Technology Laboratory, Morgantown, West Virginia 26505, United States
- West Virginia University, Morgantown, West Virginia 26506, United States
| | - Greggory Breault
- National Energy Technology Laboratory, Morgantown, West Virginia 26505, United States
- REM Engineering Services, Morgantown, West Virginia 26506, United States
| | - Mary Ann Clarke
- National Energy Technology Laboratory, Morgantown, West Virginia 26505, United States
- West Virginia University Research Corporation, Morgantown, West Virginia 26506, United States
| | - William A. Rogers
- National Energy Technology Laboratory, Morgantown, West Virginia 26505, United States
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42
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Adnan M, Zhang N, Sun F, Wang W. Numerical simulation of a semi-industrial scale CFB riser using coarse-grained DDPM-EMMS modelling. CAN J CHEM ENG 2017. [DOI: 10.1002/cjce.23071] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Muhammad Adnan
- State Key Laboratory of Multiphase Complex Systems; Institute of Process Engineering, Chinese Academy of Sciences; Beijing, 100190 P. R. China
- University of Chinese Academy of Sciences; Beijing, 100049 P. R. China
| | - Nan Zhang
- State Key Laboratory of Multiphase Complex Systems; Institute of Process Engineering, Chinese Academy of Sciences; Beijing, 100190 P. R. China
- University of Chinese Academy of Sciences; Beijing, 100049 P. R. China
| | - Fangfang Sun
- State Key Laboratory of Multiphase Complex Systems; Institute of Process Engineering, Chinese Academy of Sciences; Beijing, 100190 P. R. China
- School of Resources and Safety Engineering; China University of Mining & Technology; Beijing, 100083 P. R. China
| | - Wei Wang
- State Key Laboratory of Multiphase Complex Systems; Institute of Process Engineering, Chinese Academy of Sciences; Beijing, 100190 P. R. China
- University of Chinese Academy of Sciences; Beijing, 100049 P. R. China
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43
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Lu L, Gao X, Li T, Benyahia S. Numerical Investigation of the Ability of Salt Tracers to Represent the Residence Time Distribution of Fluidized Catalytic Cracking Particles. Ind Eng Chem Res 2017. [DOI: 10.1021/acs.iecr.7b03773] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Liqiang Lu
- National Energy Technology Laboratory, Morgantown, West Virginia 26507, United States
| | - Xi Gao
- National Energy Technology Laboratory, Morgantown, West Virginia 26507, United States
| | - Tingwen Li
- National Energy Technology Laboratory, Morgantown, West Virginia 26507, United States
- AECOM, Morgantown, West Virginia 26505, United States
| | - Sofiane Benyahia
- National Energy Technology Laboratory, Morgantown, West Virginia 26507, United States
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44
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Assessing the capability of continuum and discrete particle methods to simulate gas-solids flow using DNS predictions as a benchmark. POWDER TECHNOL 2017. [DOI: 10.1016/j.powtec.2017.08.034] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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45
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Understand solids loading effects in a dense medium cyclone: Effect of particle size by a CFD-DEM method. POWDER TECHNOL 2017. [DOI: 10.1016/j.powtec.2017.07.032] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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46
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47
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Lu L, Gopalan B, Benyahia S. Assessment of Different Discrete Particle Methods Ability To Predict Gas-Particle Flow in a Small-Scale Fluidized Bed. Ind Eng Chem Res 2017. [DOI: 10.1021/acs.iecr.7b01862] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Liqiang Lu
- National Energy Technology Laboratory, Morgantown, West Virginia 26505, United States
| | - Balaji Gopalan
- National Energy Technology Laboratory, Morgantown, West Virginia 26505, United States
- West Virginia University Research Corporation, Morgantown, West Virginia 26505, United States
| | - Sofiane Benyahia
- National Energy Technology Laboratory, Morgantown, West Virginia 26505, United States
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48
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Nikolopoulos A, Stroh A, Zeneli M, Alobaid F, Nikolopoulos N, Ströhle J, Karellas S, Epple B, Grammelis P. Numerical investigation and comparison of coarse grain CFD – DEM and TFM in the case of a 1 MW th fluidized bed carbonator simulation. Chem Eng Sci 2017. [DOI: 10.1016/j.ces.2017.01.052] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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49
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Zhang Y, Zhao Y, Lu L, Ge W, Wang J, Duan C. Assessment of polydisperse drag models for the size segregation in a bubbling fluidized bed using discrete particle method. Chem Eng Sci 2017. [DOI: 10.1016/j.ces.2016.11.028] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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50
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Lu L, Yoo K, Benyahia S. Coarse-Grained-Particle Method for Simulation of Liquid–Solids Reacting Flows. Ind Eng Chem Res 2016. [DOI: 10.1021/acs.iecr.6b02688] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Liqiang Lu
- National Energy Technology Laboratory, Morgantown, West Virginia 26507, United States
| | - Kisoo Yoo
- National Energy Technology Laboratory, Morgantown, West Virginia 26507, United States
| | - Sofiane Benyahia
- National Energy Technology Laboratory, Morgantown, West Virginia 26507, United States
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