低宏观孔隙率催化颗粒形成的固定床内颗粒内对流影响的量化

IF 4.3 Q2 ENGINEERING, CHEMICAL
Stylianos Kyrimis, Matthew E. Potter, Robert Raja and Lindsay-Marie Armstrong*, 
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引用次数: 0

摘要

计算流体动力学(CFD)建模在优化固定床催化化学反应器以提高性能方面发挥着关键作用,但必须准确捕获支撑复杂颗粒-流体相互作用的各种长度和时间尺度。在催化颗粒内部,存在一系列孔径,微孔尺度增强活性表面积以提高反应活性,而大孔尺度通过颗粒内对流增强颗粒内传热和传质。现有的颗粒分解CFD模型主要将具有低颗粒内宏观孔隙度的双尺度颗粒作为纯固体处理。因此,忽略了与颗粒内对流相关的颗粒内现象,并且不了解它们在全床尺度上的影响。本研究提出了一个多孔颗粒CFD模型,其中单个颗粒通过两个不同的孔隙度术语来定义,一个宏观孔隙度术语负责颗粒的流体动力学剖面,一个微观孔隙度术语负责扩散和反应。通过比较多孔颗粒和固体颗粒形成的全床的流动曲线,研究了颗粒内对流对传质传热以及扩散和反应的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantifying the Impact of Intraparticle Convection within Fixed Beds Formed by Catalytic Particles with Low Macro-Porosities

Quantifying the Impact of Intraparticle Convection within Fixed Beds Formed by Catalytic Particles with Low Macro-Porosities

Computational fluid dynamics (CFD) modeling plays a pivotal role in optimizing fixed bed catalytic chemical reactors to enhance performance but must accurately capture the various length- and time-scales that underpin the complex particle–fluid interactions. Within catalytic particles, a range of pore sizes exist, with micro-pore scales enhancing the active surface area for increased reactivity and macro-pore scales enhancing intraparticle heat and mass transfer through intraparticle convection. Existing particle-resolved CFD models primarily approach such dual-scale particles with low intraparticle macro-porosities as purely solid. Consequently, intraparticle phenomena associated with intraparticle convection are neglected, and their impact in the full bed scale is not understood. This study presents a porous particle CFD model, whereby individual particles are defined through two distinct porosity terms, a macro-porosity term responsible for the particle’s hydrodynamic profile and a micro-porosity term responsible for diffusion and reaction. By comparing the flow profiles through full beds formed by porous and solid particles, the impact of intraparticle convection on mass and heat transfer, as well as on diffusion and reaction, was investigated.

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来源期刊
ACS Engineering Au
ACS Engineering Au 化学工程技术-
自引率
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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)
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