Development and confirmation of a simple procedure to measure solids distribution in fluidized beds using tracer particles. (18th May 2020)

• Record Type: Journal Article
• Authors: Xu, Yupeng; Li, Tingwen; Lu, Liqiang; Gao, Xi; Tebianian, Sina; Grace, John R.; Chaouki, Jamal; Leadbeater, Thomas W.; Jafari, Rouzbeh; Parker, David J.; Seville, Jonathan; Ellis, Naoko
• Is Part Of: Chemical engineering science. Volume 217(2020)
• Publication Date: 2020-05-18
• Subjects: Coarse grained method -- Traveling fluidized bed -- Tracer particles -- Solids volume fraction -- Particle tracking -- Computational fluid dynamics; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2020.115501
• Languages: English
• ISSNs: 0009-2509

Abstract

Highlights: Travelling fluidized bed is simulated with a coarse-grain CFD-DEM. The solids distribution derived from tracer data is verified numerically. A simple calibration method is examined and shown to be effective. Experimental data are revisited with the new calibration method. Abstract: The spatial distribution of solid particles is a key factor affecting the performance of fluidized bed reactors. Non-invasive techniques including radioactive particle tracking (RPT) and positron emission particle tracking (PEPT) are deployed to measure the solids distribution. Different methods to calibrate the particle tracking measurements have been developed to quantify mean solids concentration. In this paper, gas-solid flows in a traveling fluidized bed are simulated with CFD-DEM and the behavior of different particles, including bulk sand particles and tracer particles are investigated. The simulated hydrodynamics are compared with experimental measurements. Analyses are carried out to derive the mean solids concentration from the tracer particle data. Different calibration approaches are examined, and the simple calibration method is verified. It is shown that the mean solids concentration can be measured reliably using representative tracer particles. The experimental RPT data are then revisited with the new calibration method which yields more realistic results.