Solid Phase Macromixing Study in a Pilot-Scale Geldart Group B Circulating Fluidized Bed Riser Using Single Particle RTD and RPT Measurements

IF 4.3 Q2 ENGINEERING, CHEMICAL

ACS Engineering Au Pub Date : 2023-02-01 DOI:10.1021/acsengineeringau.2c00049

Trilokpati Tribedi, Pankaj Tiwari, Harish Jagat Pant and Rajesh Kumar Upadhyay*,

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引用次数: 1

Abstract

Solid flow in a Geldart’s group B circulating fluidized bed (CFB) riser is complex, and it exhibits backflow and recirculation in the riser. A single radioactive tracer particle is used to measure the overall and sectional residence time distribution in a CFB riser at a gas velocity of 7.6–9.2 m/s and a solid flux of 100–200 kg/m²s. At the same time, radioactive particle tracking (RPT) data are used to measure the trajectories of the tracer particle and its length distribution at the bottom and middle sections of the riser. Both residence time distribution (RTD) and trajectory length distribution data obtained from RPT and RTD experiments are processed and compared. Results show that the bottom section has higher back mixing than the middle section. The results also show that back mixing in both the sections reduces with an increase in the gas inlet velocity and reduces marginally with an increase in the solid flux. Results confirm that RPT and RTD data are highly correlated and can be used with the same accuracy to quantify the macromixing behavior of any process vessel/reactor.

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基于单颗粒RTD和RPT测量的Geldart B组循环流化床提升管内固相宏观混合研究

Geldart B组循环流化床(CFB)立管内的固体流动较为复杂，存在回流和再循环现象。在气速7.6 ~ 9.2 m/s、固体通量100 ~ 200 kg/m2s条件下，采用单个放射性示踪粒子测量了循环流化床提升管内整体和截面停留时间分布。同时，利用放射性粒子跟踪(RPT)数据测量了示踪粒子在立管底部和中部的轨迹及其长度分布。对停留时间分布(RTD)和弹道长度分布(RTD)实验数据进行了处理和比较。结果表明，底部的回混率高于中部。结果还表明，两段内的反混合随入口气流速度的增加而减小，随固体流量的增加而略微减小。结果证实，RPT和RTD数据高度相关，可以以相同的精度用于量化任何工艺容器/反应器的宏观混合行为。

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ACS Engineering Au 化学工程技术-

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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)