McMullan, Andrew, Mifsud, J., Jelly, T.O. and Angelino, M. (2024). Using Large Eddy Simulation to predict fluid residence time in a test ventilated room. European Journal of Mechanics - B/Fluids, 108 , pp. 73-89.
Abstract
We study the capability of Large Eddy Simulation (LES) to predict fluid residence time in a ventilated room. Validation is performed against an experiment where the inlet vent slot width matches that of the room. On a coarse grid, the Smagorinsky subgrid-scale model has a detrimental effect on flow statistics, whilst the WALE and Germano-Lilly models perform well. A refined grid produces close agreement with the reference data. A simulation with a narrow inlet slot demonstrates that the flow becomes three-dimensional, with pairs of spiral vortices forming in the room and altering the recirculation pattern when compared to the wide inlet slot configuration. The obtained LES statistics show improvements in the prediction of velocity field over conventional RANS modelling techniques. Fluid age probability density functions show that a wide range of residence time values around the mean value can be observed within the room. Large Eddy Simulation is capable of providing accurate predictions in a simplified ventilated room, and residence time probability density function distributions can be useful for the improvement of ventilation strategies.
Publication DOI: | https://doi.org/10.1016/j.euromechflu.2024.07.002 |
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Divisions: | College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Software Engineering & Cybersecurity College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies College of Engineering & Physical Sciences > Aston Fluids Group Aston University (General) |
Funding Information: | The majority of the simulations were performed on ALICE, the University of Leicester High Performance Computing facility. Some simulations were performed using the Sulis Tier 2 HPC platform hosted by the Scientific Computing Research Technology Platform a |
Additional Information: | Copyright © 2024 The Author(s). Published by Elsevier Masson SAS. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/). |
Uncontrolled Keywords: | large eddy simulation,Ventilation,residence time |
Publication ISSN: | 0997-7546 |
Data Access Statement: | Data will be made available on request. |
Last Modified: | 27 Nov 2024 08:20 |
Date Deposited: | 08 Jul 2024 09:42 |
Full Text Link: | |
Related URLs: |
https://www.sci ... 99775462400092X
(Publisher URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2024-11-01 |
Published Online Date: | 2024-07-05 |
Accepted Date: | 2024-07-01 |
Authors: |
McMullan, Andrew
Mifsud, J. Jelly, T.O. Angelino, M. |