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Coarse-Grained-Particle Method for Simulation of Liquid–Solids Reacting Flows

Journal Article · · Industrial and Engineering Chemistry Research
 [1];  [1];  [1]
  1. National Energy Technology Lab. (NETL), Morgantown, WV (United States)
A coarse-grained-particle method (CGPM) that tracks fewer particles and their collisions by lumping several real particles into computational parcels is developed. We demonstrate that the accuracy of CGPM can be improved by properly selecting interpolation schemes used to compute flow variables at particle and computational grid locations. The computational speed of CGPM was shown to be similar to that of a widely used and less accurate particle in cell method (PIC). Finally, a chemical reaction mechanism based on rare earth elements (REE) leaching from coal byproducts was implemented with CGPM to study the effects of several flow and design parameters on the leaching process. A counter-current reactor was studied and optimized to maximize the mass fraction of REE in the liquid solution. As a result, the CGPM can now be employed to cheaply and accurately solve industrial-scale problems containing millions of computational parcels.
Research Organization:
National Energy Technology Lab. (NETL), Morgantown, WV (United States)
Sponsoring Organization:
USDOE
OSTI ID:
1477859
Journal Information:
Industrial and Engineering Chemistry Research, Journal Name: Industrial and Engineering Chemistry Research Journal Issue: 39 Vol. 55; ISSN 0888-5885
Publisher:
American Chemical Society (ACS)Copyright Statement
Country of Publication:
United States
Language:
English

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Cited By (3)

Method to estimate uncertainty associated with parcel size in coarse discrete particle simulation journal February 2018
Coarse grained computational fluid dynamic simulation of sands and biomass fluidization with a hybrid drag journal November 2019
Mathematical modelling of expanded bed adsorption - a perspective on in silico process design: Mathematical modelling of expanded bed adsorption journal April 2018

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