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Li J, Zou J, Wei X. Modeling of CSTR flow field for Agaricus bisporus residue fermentation based on CFD numerical simulation. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:17437-17448. [PMID: 36194331 DOI: 10.1007/s11356-022-23388-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Abstract
Agaricus bisporus production gets a lot of residues, which could be fermented by a continuous stirred tank reactor (CSTR). This research was conducted to study the characteristics of the multiphase flow field in the reactor and its influence on the efficiency of biogas production in the CSTR fermentation process of Agaricus bisporus residue by using CFD numerical simulation technique. The aim is to reveal the relationship between the reactor operating conditions, flow field characteristics, and biogas production efficiency at the micro-level. We compared the results of different turbulence models by evaluating the power quotients and flow quotients with the experimental results to derive the most suitable flow field model inside the reactor for the Agaricus bisporus residues. The results showed that, under the condition that the number of grids does not affect the simulation results, and considering the model accuracy and efficiency, the numerical method can be chosen as the multiple reference frame (MRF) method of the second-order upwind discrete scheme with the realizable k - ε model. In this way, we can make use of edible mushroom residue as a substrate for resource utilization and provide basic data and theoretical basis for the design and scale-up with anaerobic fermentation to biogas reactor.
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Affiliation(s)
- Jiayu Li
- College of Mechanical and Electronic Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350100, Fujian, China
| | - Jinping Zou
- College of Mechanical and Electronic Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350100, Fujian, China
| | - Xuan Wei
- College of Mechanical and Electronic Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350100, Fujian, China.
- College of Food Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China.
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Li L, Lian W, Bai B, Zhao Y, Li P, Zhang Q, Huang W. CFD-PBM investigation of the hydrodynamics in a slurry bubble column reactor with a circular gas distributor and heat exchanger tube. CHEMICAL ENGINEERING SCIENCE: X 2021. [DOI: 10.1016/j.cesx.2020.100087] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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An M, Guan X, Yang N. Modeling the effects of solid particles in CFD-PBM simulation of slurry bubble columns. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115743] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Madec C, Collin B, John Soundar Jerome J, Joubaud S. Puzzling Bubble Rise Speed Increase in Dense Granular Suspensions. PHYSICAL REVIEW LETTERS 2020; 125:078004. [PMID: 32857566 DOI: 10.1103/physrevlett.125.078004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 03/25/2020] [Accepted: 07/14/2020] [Indexed: 06/11/2023]
Abstract
We present an anomalous experimental observation on the rising speed of air bubbles in a Hele-Shaw cell containing a suspension of spherical, neutrally buoyant, non-Brownian particles. Strikingly, bubbles rise faster in suspensions as compared to particle-less liquids of the same effective viscosity. By carefully measuring this bubble speed increase at various particle volume fraction and via velocity field imaging, we demonstrate that this strange bubble dynamics is linked to a reduction in the bulk dissipation rate. A good match between our experimental data and computations based on a Suspension Balance Model (SBM) illustrates that the underlying mechanism for this dissipation-rate deficit is related to a nonuniform particle distribution in the direction perpendicular to the channel walls due to shear-induced particle migration.
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Affiliation(s)
- Christopher Madec
- Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, 69367 Lyon Cedex 07, France
| | - Brivaël Collin
- Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, 69367 Lyon Cedex 07, France
| | - J John Soundar Jerome
- Univ Lyon, Université Claude Bernard Lyon 1, Laboratoire de Mécanique des Fluides et d'Acoustique, CNRS, UMR 5509, Boulevard 11 Novembre, 69622 Villeurbanne CEDEX, Lyon, France
| | - Sylvain Joubaud
- Univ Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, 69367 Lyon Cedex 07, France
- Institut Universitaire de France (IUF), 1 rue Descartes, 75005 Paris, France
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Zhou R, Yang N, Li J. A conceptual model for analyzing particle effects on gas-liquid flows in slurry bubble columns. POWDER TECHNOL 2020. [DOI: 10.1016/j.powtec.2019.03.025] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Zhao Y, Peng X, Wang Y, Wei Z, Yu G, Wang F. Local Distributions of Bubble Velocity and Interfacial Area in the Slender Particle-Containing Scrubbing–Cooling Chamber of an Entrained-Flow Gasifier. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.9b06170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Yumeng Zhao
- Institute of Clean Coal Technology, East China University of Science and Technology, Shanghai 200237, PR China
| | - Xin Peng
- Shanghai Research Institute, SINOPEC Lubricant Company, Ltd., Shanghai 200080, PR China
| | - Yifei Wang
- Institute of Clean Coal Technology, East China University of Science and Technology, Shanghai 200237, PR China
| | - Zongyao Wei
- Institute of Clean Coal Technology, East China University of Science and Technology, Shanghai 200237, PR China
| | - Guangsuo Yu
- Institute of Clean Coal Technology, East China University of Science and Technology, Shanghai 200237, PR China
| | - Fuchen Wang
- Institute of Clean Coal Technology, East China University of Science and Technology, Shanghai 200237, PR China
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Gao Y, Gao X, Hong D, Cheng Y, Wang L, Li X. Experimental investigation on multiscale hydrodynamics in a novel gas–Liquid–Solid three phase jet‐Loop reactor. AIChE J 2019. [DOI: 10.1002/aic.16537] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Yongxiang Gao
- College of Chemical and Biological EngineeringZhejiang University Zhejiang, 310027 Hangzhou China
| | - Xi Gao
- National Energy Technology Laboratory Morgantown WV 26505
| | - Du Hong
- College of Chemical and Biological EngineeringZhejiang University Zhejiang, 310027 Hangzhou China
| | - Youwei Cheng
- College of Chemical and Biological EngineeringZhejiang University Zhejiang, 310027 Hangzhou China
| | - Lijun Wang
- College of Chemical and Biological EngineeringZhejiang University Zhejiang, 310027 Hangzhou China
| | - Xi Li
- College of Chemical and Biological EngineeringZhejiang University Zhejiang, 310027 Hangzhou China
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Zhou R, Yang N, Li J. CFD simulation of gas-liquid-solid flow in slurry bubble columns with EMMS drag model. POWDER TECHNOL 2017. [DOI: 10.1016/j.powtec.2016.09.083] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Baltussen M, Kuipers J, Deen N. Direct numerical simulation of effective drag in dense gas–liquid–solid three-phase flows. Chem Eng Sci 2017. [DOI: 10.1016/j.ces.2016.11.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Yang S, Li X, Yang C, Ma B, Mao ZS. Computational Fluid Dynamics Simulation and Experimental Measurement of Gas and Solid Holdup Distributions in a Gas–Liquid–Solid Stirred Reactor. Ind Eng Chem Res 2015. [DOI: 10.1021/acs.iecr.5b03163] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Shifang Yang
- Key
Laboratory of Green Process and Engineering, Institute of Process
Engineering, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiangyang Li
- Key
Laboratory of Green Process and Engineering, Institute of Process
Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Chao Yang
- Key
Laboratory of Green Process and Engineering, Institute of Process
Engineering, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bin Ma
- Key
Laboratory of Green Process and Engineering, Institute of Process
Engineering, Chinese Academy of Sciences, Beijing 100190, China
- China University of Mining & Technology, Beijing 100083, China
| | - Zai-Sha Mao
- Key
Laboratory of Green Process and Engineering, Institute of Process
Engineering, Chinese Academy of Sciences, Beijing 100190, China
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Basha OM, Sehabiague L, Abdel-Wahab A, Morsi BI. Fischer–Tropsch Synthesis in Slurry Bubble Column Reactors: Experimental Investigations and Modeling – A Review. INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING 2015. [DOI: 10.1515/ijcre-2014-0146] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
This paper presents an extensive review of the kinetics, hydrodynamics, mass transfer, heat transfer and mathematical as well as computational fluid dynamics (CFD) modeling of Low-Temperature Tropsch Synthesis (LTFT) synthesis in Slurry Bubble Column Reactors (SBCRs), with the aim of identifying potential research and development areas in this particular field. The kinetic expressions developed for F-T synthesis over iron and cobalt catalysts along with the water gas shift (WGS) reactions are summarized and compared. The experimental data and empirical correlations to predict the hydrodynamics (gas holdup, Sauter mean bubble diameter, and bubble rise velocity), mass transfer coefficients and heat transfer coefficients are presented. The effects of various operating variables, including pressure, temperature, gas velocity, catalyst concentration, reactor geometry, and reactor internals on the hydrodynamic and transport parameters as well as the performance of SBCRs are discussed. Additionally, modeling efforts of SBCRs, using axial dispersion models (ADM), multiple cell recirculation models (MCCM) and computational fluid dynamics (CFD), are addressed. This review revealed the following:
(1)Numerous F-T and WGS kinetic rate expressions are available for cobalt and iron catalysts and one must be careful in selecting the appropriate expressions for LTFT. Iron catalyst suffers from severe attrition and subsequent deactivation in SBCRs and accordingly building a costly catalyst manufacturing facility onsite is required to maintain a steady operation of the F-T reactor;
(2)Experimental data on the hydrodynamic and transport parameters at high pressures and temperatures, typical to those of actual F-T synthesis, remain scanty when compared with the plethora of studies conducted using air–water systems in small reactors at ambient conditions;
(3)Several empirical correlations for predicting the hydrodynamic and mass as well heat transfer parameters are available and one should select those which consider the reactor diameter, gas mixtures and the potential foamability of the F-T liquids;
(4)The effect of cooling internals configuration and sparger design on the hydrodynamic and transport parameters, local turbulence, mixing and catalyst attrition are yet to be seriously addressed;
(5)The impact of operating variables on the hydrodynamic and transport parameters as well as the overall performance of the SBCRs should be investigated using actual F-T fluid–solid systems under typical pressures and temperatures using a large-scale reactor (>0.15 m ID) in the presence of gas spargers and cooling internals;
(6)Significant efforts are still required in order to advance CFD modeling of SBCRs, particularly those pertaining to the relevant closure models, such as drag, lift and turbulence. Also, cooling internals configuration and the design as well as orientation of gas spargers should be accounted for in the CFD modeling; and
(7)Proper validations of the CFD formulations using actual systems for F-T SBCR are needed.
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Manjrekar ON, Dudukovic MP. Application of a 4-point optical probe to a Slurry Bubble Column Reactor. Chem Eng Sci 2015. [DOI: 10.1016/j.ces.2015.03.027] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Xu L, Xia Z, Guo X, Chen C. Application of Population Balance Model in the Simulation of Slurry Bubble Column. Ind Eng Chem Res 2014. [DOI: 10.1021/ie403453h] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Lijia Xu
- Key Laboratory of Coal Gasification and Energy Chemical Engineering of Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China
| | - Zihong Xia
- Key Laboratory of Coal Gasification and Energy Chemical Engineering of Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China
| | - Xiaofeng Guo
- Key Laboratory of Coal Gasification and Energy Chemical Engineering of Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China
| | - Caixia Chen
- Key Laboratory of Coal Gasification and Energy Chemical Engineering of Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China
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