Investigating a selection of mixing times for transient pollutants in mechanically ventilated, isothermal rooms using automated computational fluid dynamics analysis
Investigating a selection of mixing times for transient pollutants in mechanically ventilated, isothermal rooms using automated computational fluid dynamics analysis
Understanding mixing times for transient pollutants in mechanically ventilated rooms is important for resilience and safety planning for accidental releases of toxic material. There is a lack of information on the ability of simple models available to predict these times for ventilated spaces with different geometries and ventilation configurations. Three analytical mixing time models, including a novel jet transit based approach, have been selected for comparison with computational fluid dynamics (CFD) predictions for a wide range of cuboidal rooms with ceiling ventilation. A modelling tool has been developed, using open source and open source based software, to automatically build and run a large number of Reynolds averaged Navier-Stokes CFD models. The tool has been used to study the dependence of the chosen mixing metrics on room geometry and ventilation parameters, such as the air change rate, for a transient pollutant entering the room via the ventilation system. The room volume, shape, air change rate and vent layout were varied for each room using a Sobol sequence experimental design. The CFD tool has been used to assess the validity of the analytical mixing time models and to derive parameters for the scenarios of interest.
indoor dispersion, CFD, mixing, pollutant, safety, Automation
313-322
Foat, T.G.
eddebff8-0a58-4a9a-a2ec-45563e965245
Nally, J.
37a76167-e202-49c4-af97-f867e66460dc
Parker, S.T.
04d5fb3f-daa2-43fc-8ff7-6217761625b7
June 2017
Foat, T.G.
eddebff8-0a58-4a9a-a2ec-45563e965245
Nally, J.
37a76167-e202-49c4-af97-f867e66460dc
Parker, S.T.
04d5fb3f-daa2-43fc-8ff7-6217761625b7
Foat, T.G., Nally, J. and Parker, S.T.
(2017)
Investigating a selection of mixing times for transient pollutants in mechanically ventilated, isothermal rooms using automated computational fluid dynamics analysis.
Building and Environment, 118, .
(doi:10.1016/j.buildenv.2017.01.011).
Abstract
Understanding mixing times for transient pollutants in mechanically ventilated rooms is important for resilience and safety planning for accidental releases of toxic material. There is a lack of information on the ability of simple models available to predict these times for ventilated spaces with different geometries and ventilation configurations. Three analytical mixing time models, including a novel jet transit based approach, have been selected for comparison with computational fluid dynamics (CFD) predictions for a wide range of cuboidal rooms with ceiling ventilation. A modelling tool has been developed, using open source and open source based software, to automatically build and run a large number of Reynolds averaged Navier-Stokes CFD models. The tool has been used to study the dependence of the chosen mixing metrics on room geometry and ventilation parameters, such as the air change rate, for a transient pollutant entering the room via the ventilation system. The room volume, shape, air change rate and vent layout were varied for each room using a Sobol sequence experimental design. The CFD tool has been used to assess the validity of the analytical mixing time models and to derive parameters for the scenarios of interest.
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Accepted/In Press date: 11 January 2017
e-pub ahead of print date: 31 March 2017
Published date: June 2017
Keywords:
indoor dispersion, CFD, mixing, pollutant, safety, Automation
Organisations:
Education Hub
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Local EPrints ID: 411026
URI: http://eprints.soton.ac.uk/id/eprint/411026
ISSN: 0360-1323
PURE UUID: 673b3517-2ec4-40e9-9fbe-d999b7d72edc
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Date deposited: 13 Jun 2017 16:32
Last modified: 15 Mar 2024 14:22
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Author:
T.G. Foat
Author:
J. Nally
Author:
S.T. Parker
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