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Modeling particle distribution in a ventilated room with modified discrete random walk methods
School of Mechanical Engineering, Shiraz University, Shiraz, Iran; School of Business, Society and Engineering, Mälardalen University, Västerås, Sweden.
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Sustainable Buildings. School of Business, Society and Engineering, Mälardalen University, Västerås, Swede.ORCID iD: 0000-0002-9361-1796
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering. School of Mechanical Engineering, Shiraz University, Shiraz, Iran.ORCID iD: 0000-0002-1744-5108
2023 (English)In: The International Journal of Ventilation, ISSN 1473-3315, E-ISSN 2044-4044, Vol. 22, no 3, p. 289-306Article in journal (Refereed) Published
Abstract [en]

The airflow and micro-particle dispersion in a 3-D ventilated scaled room has been simulated numerically. The flow field was studied by the Eulerian method using a Reynolds Averaged Navier-Stokes model, and we used the Lagrangian approach to solve the equations of particle motion. The purpose is to evaluate and compare various discrete random walk methods (DRW) and continuous random walk methods (CRW) to evaluate particle concentration distribution in indoor environments. The isotropic DRW method’s performance has been compared with models in which anisotropy of turbulence is applied, including CRW and modified DRW models based on near-wall direct numerical simulation results, near-wall kinetic energy, and the helicity of the flow. The results reveal that the isotropic DRW method can predict particle concentration in the indoor environment, and using a modified DRW model is not necessary.

Place, publisher, year, edition, pages
Informa UK Limited , 2023. Vol. 22, no 3, p. 289-306
Keywords [en]
computational fluid dynamics, indoor air quality, stochastic methods, turbulence anisotropy, Ventilation, Air, Air conditioning, Air quality, Anisotropy, Indoor air pollution, Kinetic energy, Kinetics, Lagrange multipliers, Navier Stokes equations, Numerical methods, Random processes, Stochastic systems, Turbulence, Continuous random walk, Discrete random walk, Indoor environment, Isotropics, Method model, Near-wall, Random-walk method
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:kth:diva-328977DOI: 10.1080/14733315.2022.2143062ISI: 000884222400001Scopus ID: 2-s2.0-85142227412OAI: oai:DiVA.org:kth-328977DiVA, id: diva2:1767313
Note

QC 20250611

Available from: 2023-06-14 Created: 2023-06-14 Last updated: 2025-06-11Bibliographically approved

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Sadrizadeh, SasanAbouali, Omid

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