LBM Simulation of the Time for Removal of Pollutant Particles in a Ventilated Enclosure

Authors

Yasmine Hamrioui
Laboratory of Multiphase Transport and Porous Media (LTPMP), Faculty of Mechanical and Proceeding Engineering, University of Sciences and Technology Houari Boumediene, Algiers, 16111, Algeria.
Djamel Eddine Ameziani
Laboratory of Multiphase Transport and Porous Media (LTPMP), Faculty of Mechanical and Proceeding Engineering, University of Sciences and Technology Houari Boumediene, Algiers, 16111, Algeria.
Zouhira Hireche
Laboratory of Multiphase Transport and Porous Media (LTPMP), Faculty of Mechanical and Proceeding Engineering, University of Sciences and Technology Houari Boumediene, Algiers, 16111, Algeria.
Lyes Nasseri
Laboratory of Multiphase Transport and Porous Media (LTPMP), Faculty of Mechanical and Proceeding Engineering, University of Sciences and Technology Houari Boumediene, Algiers, 16111, Algeria.
Rachid Nebbali
Laboratory of Multiphase Transport and Porous Media (LTPMP), Faculty of Mechanical and Proceeding Engineering, University of Sciences and Technology Houari Boumediene, Algiers, 16111, Algeria.
Yali Guo
Laboratory of Multiphase Transport and Porous Media (LTPMP), Faculty of Mechanical and Proceeding Engineering, University of Sciences and Technology Houari Boumediene, Algiers, 16111, Algeria.

Synopsis

The adverse impact of poor indoor air quality on the health and well-being of occupants is undeniable. Research into the elimination of contaminants is a major current topic, illustrating the growing importance attached to this issue. This study aims to improve indoor air quality in enclosed spaces such as homes, workplaces, and schools. This investigation aims to numerically study the removal time of pollutant particles in a chamber ventilated from the bottom of the active wall at a velocity represented by the Reynolds number (). The exhaust is located at the top of the right-hand wall. A porous partition is placed in the middle of the lower wall and is characterized by a permeability defined by the Darcy number (). Simulation results were calculated with Fortran code using the lattice Boltzmann method with multiple relaxation time (LB-MRT). The results show the evolution of different contours of the stream function, isotherms, and iso-concentrations, as well as the displacement efficiency.

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Published
December 9, 2024