Integration of network flow modelling and computational fluid dynamics to simulate contaminant transport and behaviour in the indoor environment
Samuel, Aizaz Aamir and Strachan, Paul (2008) Integration of network flow modelling and computational fluid dynamics to simulate contaminant transport and behaviour in the indoor environment. In: ASHRAE Winter Meeting, 2008-01-19 - 2008-01-23.
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The flow of air from one room to another may be approximated by network flow models which consider the bulk flow of air. Such models can predict inter-zone air distributions but cannot predict intra-zone air flow conditions. Computational fluid dynamics, on the other hand, can be used to predict intra-room air flows with a high degree of accuracy provided sufficient care is taken in specification of boundary conditions, initial conditions and grid definition. Contaminant transport and behavior prediction models are supported by both modeling techniques. To overcome shortcomings of the individual techniques, both methods are combined within an integrated modeling framework. The methodology for prediction of contaminant concentration uses three solution procedures in addition to CFD. These involve the setting up and solution of contaminant distribution and transport equations (a sparse linear system), the setting up and solution of air flow equations (a non-linear system) and the setting up and solution of building thermal equations (a sparse non-linear system). This paper presents a method to integrate these approaches in order to accurately predict both inter- and intra-room air flows and contaminant distributions
ORCID iDs
Samuel, Aizaz Aamir ORCID: https://orcid.org/0000-0002-7107-3130 and Strachan, Paul ORCID: https://orcid.org/0000-0003-4280-2880;-
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Item type: Conference or Workshop Item(Paper) ID code: 30917 Dates: DateEvent20 January 2008PublishedSubjects: Technology > Mechanical engineering and machinery Department: Faculty of Engineering > Mechanical and Aerospace Engineering Depositing user: Pure Administrator Date deposited: 13 May 2011 15:48 Last modified: 11 Nov 2024 16:29 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/30917