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He M, Zhao B, Wang J. Particle Pressures in Gas-Fluidized Beds: A Computational Fluid Dynamics–Discrete Element Method Study. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c00975] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Mingming He
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, P.O. Box 353, Beijing 100190, People’s Republic of China
- School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing, 100049, People’s Republic of China
| | - Bidan Zhao
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, P.O. Box 353, Beijing 100190, People’s Republic of China
- School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing, 100049, People’s Republic of China
| | - Junwu Wang
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, P.O. Box 353, Beijing 100190, People’s Republic of China
- School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing, 100049, People’s Republic of China
- Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China
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CFD-DEM modeling of filtered fluid-particle drag and heat transfer in bidisperse gas-solid flows. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116896] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Amirifar R, Dong K, Zeng Q, An X, Yu A. Effect of vibration mode on self-assembly of granular spheres under three-dimensional vibration. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2020.11.036] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Wang M, Lan X, Wang C, Gao J, Yu A, Kuang S. Numerical Simulation of the Pilot-Scale High-Density Circulating Fluidized Bed Riser. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c00170] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Min Wang
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, 102249 Beijing, China
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, Melbourne, Victoria 3800, Australia
| | - Xingying Lan
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, 102249 Beijing, China
| | - Chengxiu Wang
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, 102249 Beijing, China
| | - Jinsen Gao
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, 102249 Beijing, China
| | - Aibing Yu
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, Melbourne, Victoria 3800, Australia
| | - Shibo Kuang
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering, Monash University, Melbourne, Victoria 3800, Australia
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6
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Golshan S, Sotudeh-Gharebagh R, Zarghami R, Mostoufi N, Blais B, Kuipers J. Review and implementation of CFD-DEM applied to chemical process systems. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115646] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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7
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Massaro Sousa L, Ferreira MC, Hou QF, Yu AB. Feeding spent coffee grounds into reactors: TFM simulation of a non-mechanical spouted bed type feeder. WASTE MANAGEMENT (NEW YORK, N.Y.) 2020; 109:161-170. [PMID: 32408099 DOI: 10.1016/j.wasman.2020.04.056] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 04/11/2020] [Accepted: 04/30/2020] [Indexed: 06/11/2023]
Abstract
Due to the increasing coffee production, Spent Coffee Grounds' (SCGs) generation has grown dramatically, hence appropriate management of this solid biomass waste is imperative. SCGs can be used as feedstocks for renewable energy and fuel generation provided that a stable feeding of powders to reactors is maintained. Recently, a non-mechanical spouted bed feeder proved itself an excellent alternative in feeding SCGs to a pilot-scale circulating fluidized bed reactor. Nonetheless, further studies are necessary for the feeder's implementation in commercial applications. Here the feeding of SCGs with the spouted bed feeder is addressed by using Computational Fluid Dynamics. Firstly, a Two-Fluid Model (TFM) is validated against experimental data, and then the effects of five operating and design parameters were analyzed aiming at improving the handling of SCGs. The solids flowrate (WS) in the reactor could be stably controlled from 4 to 30 g/s depending on the settings. The feeder performance is enhanced by operating it under high gas flowrate (Q), high entrainment length (z), and high mass of solids in the feeder (HS). Using feeders with low cone angle (γ) or reactors with large diameter (DR) increases WS, which is appealing for the operation of medium-to large-scale units. The proposed TFM is a cost-effective tool for implementing spouted bed feeders in commercial applications. With the feeder coupled to the process, SCGs are treated continuously in the reactor for energy generation, thus reducing the disposal problems associated with this waste and improving the management of SCGs globally.
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Affiliation(s)
- Lucas Massaro Sousa
- ARC Research Hub for Computational Particle Technology, Chemical Engineering Department, Monash University, Clayton, VIC 3800, Australia; Drying Center for Pastes, Suspensions, and Seeds, Chemical Engineering Department, Federal University of São Carlos, P.O. Box 676, 13565-905 São Carlos, Brazil
| | - Maria C Ferreira
- Drying Center for Pastes, Suspensions, and Seeds, Chemical Engineering Department, Federal University of São Carlos, P.O. Box 676, 13565-905 São Carlos, Brazil
| | - Qinfu F Hou
- ARC Research Hub for Computational Particle Technology, Chemical Engineering Department, Monash University, Clayton, VIC 3800, Australia.
| | - Aibing B Yu
- ARC Research Hub for Computational Particle Technology, Chemical Engineering Department, Monash University, Clayton, VIC 3800, Australia; Centre for Simulation and Modelling of Particulate Systems, Southeast University-Monash University Joint Research Institute, Suzhou 215123, PR China
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Zhu L, Tang J, Luo Z. Machine learning to assist filtered two‐fluid model development for dense gas–particle flows. AIChE J 2020. [DOI: 10.1002/aic.16973] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Li‐Tao Zhu
- Department of Chemical EngineeringSchool of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University Shanghai China
| | - Jia‐Xun Tang
- Department of Computer Science and TechnologySchool of Electronic and Electrical Engineering, Shanghai University of Engineering Science Shanghai China
| | - Zheng‐Hong Luo
- Department of Chemical EngineeringSchool of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University Shanghai China
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Hou Q, Zhou Z, Curtis JS, Yu A. Statistical analysis of monodispersed coarse particle motion in a gas-fluidized bed. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2020.01.027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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11
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Wu Y, Hou Q, Yu A. Linking discrete particle simulation to continuum properties of the gas fluidization of cohesive particles. AIChE J 2020. [DOI: 10.1002/aic.16944] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Yongli Wu
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering Monash University Clayton Victoria Australia
- Centre for Simulation and Modelling of Particulate Systems Southeast University ‐ Monash University Joint Research Institute Suzhou China
| | - Qinfu Hou
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering Monash University Clayton Victoria Australia
| | - Aibing Yu
- ARC Research Hub for Computational Particle Technology, Department of Chemical Engineering Monash University Clayton Victoria Australia
- Centre for Simulation and Modelling of Particulate Systems Southeast University ‐ Monash University Joint Research Institute Suzhou China
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Arifuzzaman S, Dong K, Hou Q, Zhu H, Zeng Q. Explicit contact force model for superellipses by Fourier transform and application to superellipse packing. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.10.018] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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13
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Feeding spent coffee ground powders with a non-mechanical L-valve: Experimental analysis and TFM simulation. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.11.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
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