{"title":"Modeling Fixed Bed Reactors of Open-Cell Foam Pellets as Porous Media","authors":"Govind Venaram Tak, and , Himanshu Goyal*, ","doi":"10.1021/acsengineeringau.4c0005810.1021/acsengineeringau.4c00058","DOIUrl":null,"url":null,"abstract":"<p >Traditional fixed-bed reactors use pellets that only allow species transport through diffusion, not convection. However, using highly porous pellets, such as open-cell foams, allows bulk gas to move through them. Such a fixed bed results in a lower pressure drop and intimate contact between the gas and solid phases, which is desirable for catalytic reactions and adsorption processes. A common strategy for modeling fixed beds is to use the porous medium assumption, where the gas and solid phases are represented as an effective porous medium. This approach necessitates several effective properties calculated using analytical relations for simple geometries and empirical correlations for complex geometries. However, such a representation for a fixed bed of highly porous pellets is unavailable. This study addresses this problem by developing a mathematical framework for a fixed bed reactor of open-cell foam pellets as a porous medium. To this end, the volume averaging and asymptotic averaging techniques are employed. The governing equations for the porous medium (continuum) model are developed based on the volume averaging technique, and the effective properties are calculated using the unit cell simulations. The developed mathematical framework is assessed against three-dimensional particle-resolved simulations for linear and nonlinear catalytic kinetics and CO<sub>2</sub> adsorption. For all the test cases, the developed framework can reproduce the pressure drop and species concentration predicted by the particle-resolved simulations with orders of magnitude reduction in the simulation time.</p>","PeriodicalId":29804,"journal":{"name":"ACS Engineering Au","volume":"5 2","pages":"154–167 154–167"},"PeriodicalIF":4.3000,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsengineeringau.4c00058","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Engineering Au","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsengineeringau.4c00058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Traditional fixed-bed reactors use pellets that only allow species transport through diffusion, not convection. However, using highly porous pellets, such as open-cell foams, allows bulk gas to move through them. Such a fixed bed results in a lower pressure drop and intimate contact between the gas and solid phases, which is desirable for catalytic reactions and adsorption processes. A common strategy for modeling fixed beds is to use the porous medium assumption, where the gas and solid phases are represented as an effective porous medium. This approach necessitates several effective properties calculated using analytical relations for simple geometries and empirical correlations for complex geometries. However, such a representation for a fixed bed of highly porous pellets is unavailable. This study addresses this problem by developing a mathematical framework for a fixed bed reactor of open-cell foam pellets as a porous medium. To this end, the volume averaging and asymptotic averaging techniques are employed. The governing equations for the porous medium (continuum) model are developed based on the volume averaging technique, and the effective properties are calculated using the unit cell simulations. The developed mathematical framework is assessed against three-dimensional particle-resolved simulations for linear and nonlinear catalytic kinetics and CO2 adsorption. For all the test cases, the developed framework can reproduce the pressure drop and species concentration predicted by the particle-resolved simulations with orders of magnitude reduction in the simulation time.
期刊介绍:
)ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)