Validation of a filtered drag model for solid residence time distribution (RTD) prediction in a pilot-scale FCC riser

Jia Yu, Xi Gao*, Liqiang Lu, Yupeng Xu, Cheng Li, Tingwen Li, William A. Rogers

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Computational fluid dynamics (CFD) is a powerful tool for prediction and analysis of complex multiphase flow hydrodynamics and residence time distribution (RTD) in chemical reactors. This study presented the validation and application of a filtered drag model for solid RTD prediction in a pilot-scale fluid catalytic cracking (FCC) circulating fluidized bed (CFB) riser with Geldart A particles. First, the filtered drag model implemented in the open-source MFiX-TFM solver was validated for flow hydrodynamics simulation in a FCC CFB riser. After that, the model was further employed to validate its ability for solid RTD prediction in the same riser by comparing the simulation results with the experimental data. The simulation with the filtered drag model well reproduced the tracer response experiment which is more accurate than that with the Gidaspow drag model. Simulations with both pulse and step tracer injection methods were compared, which reveals the limitation of solid RTD measurement using a pulse tracer injection method in the experiment.

Original languageEnglish
Pages (from-to)339-347
Number of pages9
JournalPowder Technology
Volume378
DOIs
StatePublished - 22 Jan 2021
Externally publishedYes

Keywords

  • CFD
  • FCC
  • Hydrodynamics
  • MFIX
  • Residence time distribution

Fingerprint

Dive into the research topics of 'Validation of a filtered drag model for solid residence time distribution (RTD) prediction in a pilot-scale FCC riser'. Together they form a unique fingerprint.

Cite this