Multiscale simulation of gas cleaning processes

In this paper, the problem of modeling air cleaning processes from finely dispersed solid contaminants clustered in the form of nanoparticles is considered. The purification technology chosen for the study involves the use of a system consisting of nanofilters and sorbents. Both cleaning methods used in it are currently in high demand and are often combined in appropriate devices. The first cleaning method using nanofilters allows you to get high quality last. However, this method is expensive due to the need for frequent replacement of filter elements (membranes) and also requires the disposal of these elements. The second method of cleaning with sorbents gives a relatively low quality of cleaning, but allows the latter to be carried out many times after washing the sorbent with special liquids. To optimize air cleaning devices using nanofilters and sorbents, a detailed study of the processes occurring in the cleaning system is necessary. The proposed study addresses part of the problem associated with the passage of an air stream containing solid pollutant nanoparticles through a layer of granular sorbent. For this purpose, 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 quasi-gas-dynamic model for describing the flow in the sorbing layer, as well as with the proposed multi-scale formulation of the problem. Preliminary calculations based on the macromodel showed the efficiency of the proposed approach.