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Tracking the Heavy Metal Contaminants Entrained with the Flow into a Trickle Bed Hydrotreating Reactor Packed with Different Catalyst Shapes using Newly Developed Noninvasive Dynamic Radioactive Particle Tracking
Chemical Engineering Journal
  • Binbin Qi
  • Omar Farid
  • Alexandre França Velo
  • Jihane Mendil
  • Sebastián Uribe
  • Yasunobu Kaneko
  • Kei Sakakura
  • Yasuhito Kagota
  • Muthanna H. Al-Dahhan, Missouri University of Science and Technology
Abstract

A newly developed modified Dynamic Radioactive Particle Tracking system (DRPT) was used to investigate the heavy metal contaminants deposition locations in different catalyst beds, sphere, cylinder, trilobe, and quadrilobed in Trickle Bed Reactors. In the present paper, Kernel Density Estimator (KDE) was used to estimate the probability density distributions of heavy metal contaminants depositions in terms of bed radius height. The result shows that the four cases have similar probability density distribution in terms of radius, while the spherical catalyst has the larger distribution range in terms of bed height. The heavy metal deposition is directly related to the pressure drops along the bed height which indicate the bed porosity and intricate bed structure in catalyst packed beds. Heavy metals have more chance to deposit at higher levels of packed beds with higher pressure drops.

Department(s)
Chemical and Biochemical Engineering
Keywords and Phrases
  • Heavy metal contaminants,
  • Kernel Density Estimation,
  • RPT,
  • Trickle Bed Reactors
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2021 Elsevier, All rights reserved.
Publication Date
2-1-2022
Publication Date
01 Feb 2022
Disciplines
Citation Information
Binbin Qi, Omar Farid, Alexandre França Velo, Jihane Mendil, et al.. "Tracking the Heavy Metal Contaminants Entrained with the Flow into a Trickle Bed Hydrotreating Reactor Packed with Different Catalyst Shapes using Newly Developed Noninvasive Dynamic Radioactive Particle Tracking" Chemical Engineering Journal Vol. 429 (2022) ISSN: 1385-8947
Available at: http://works.bepress.com/muthanna-al-dahhan/142/