Pore-to-mesoscale network modeling of heat transfer and fluid flow in packed beds with application to process design

Ming Liang Qu, Martin J. Blunt, Xiaolei Fan, Sajjad Foroughi, Zi Tao Yu, Qingyang Lin

Research output: Journal PublicationArticlepeer-review

4 Citations (Scopus)

Abstract

A dual-network model (DNM) representing the topological characteristics of both the pore space and solid fraction of a packed bed was developed to study coupled incompressible water flow and heat transport from the pore-scale to mesoscale (μm-cm) with the consideration of temperature-dependent fluid viscosity. The DNM was validated and used to study the temperature and velocity at the pore scale and their effects on fluid flow and heat transfer. Then the pore volume of the DNM was varied to illustrate the effect of bed porosity on transport processes, quantifying the trade-off between flow conditions and heat transfer. This work demonstrates the ability of the DNM to simulate pore-scale fluid flow and heat transfer simultaneously, which can then be averaged over the entire simulation domain to approximate meso/macroscopic parameters efficiently in relation to the pore geometry.

Original languageEnglish
Article numbere18213
JournalAICHE Journal
Volume69
Issue number12
DOIs
Publication statusPublished - Dec 2023

Keywords

  • dual-network model
  • fluid flow
  • heat transfer
  • packed bed
  • process design

ASJC Scopus subject areas

  • Biotechnology
  • Environmental Engineering
  • General Chemical Engineering

Fingerprint

Dive into the research topics of 'Pore-to-mesoscale network modeling of heat transfer and fluid flow in packed beds with application to process design'. Together they form a unique fingerprint.

Cite this