DOI: https://doi.org/10.26089/NumMet.v21r106

Multiscale supercomputer modeling of gas purification processes by the adsorption method

Authors

  • S.V. Polyakov
  • Yu.N. Karamzin
  • T.A. Kudryashova
  • V.O. Podryga
  • D.V. Puzyrkov
  • N.I. Tarasov

Keywords:

multiscale supercomputer modeling
gas purification by adsorption
high-performance computing

Abstract

This paper considers the problem of supercomputer modeling of processes for cleaning the air from fine-dispersed solid polluting impurities clustered in the form of nanoparticles. The simulated purification method involves the use of nanofilters and sorbents. Both the purification methods are often combined in modern treatment systems. The cleaning method using nanofilters allows one to obtain the high quality of purification, but is expensive due to the need for frequent replacement of filter elements (membranes). The cleaning method using sorbents is somewhat worse in quality, however, it allows cleaning many times after washing the sorbent with special liquids. To optimize air cleaning systems using nanofilters and sorbents, a detailed study of the processes occurring in the cleaning system is necessary. The proposed study considers part of the problem associated with the passage of an air stream containing solid pollutant nanoparticles through a layer of granular sorbent. To accomplish this, a multiscale mathematical model, a numerical algorithm and a parallel implementation of the model on a macroscopic scale have been developed. The novelty of the approach is associated with the use of a quasigasdynamic model to describe the flow in the sorbing layer and several variants of the boundary conditions on the sorbent granules. Preliminary calculations show the possibility of calculating flows of a similar class.

New computational technologies

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Published

2020-02-13

Issue

Vol. 21 (2020): Issue 1.

Section

Section 1. Numerical methods and applications

Author Biographies

S.V. Polyakov

Keldysh Institute of Applied Mathematics of RAS
• Head of Sector

Yu.N. Karamzin

Keldysh Institute of Applied Mathematics of RAS
• Leading Researcher

T.A. Kudryashova

Keldysh Institute of Applied Mathematics of RAS
• Senior Researcher

V.O. Podryga

Keldysh Institute of Applied Mathematics of RAS
• Leading Researcher

D.V. Puzyrkov

Keldysh Institute of Applied Mathematics of RAS
• Junior Researcher

N.I. Tarasov

Keldysh Institute of Applied Mathematics of RAS
• Junior Researcher

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