### Abstract

Language | English |
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Pages | Paper NY-08-031 |

Publication status | Published - 20 Jan 2008 |

Event | ASHRAE Winter Meeting - New York, United States Duration: 19 Jan 2008 → 23 Jan 2008 |

### Conference

Conference | ASHRAE Winter Meeting |
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Country | United States |

City | New York |

Period | 19/01/08 → 23/01/08 |

### Fingerprint

### Keywords

- network flow
- modelling
- computational fluid dynamics

### Cite this

*Integration of network flow modelling and computational fluid dynamics to simulate contaminant transport and behaviour in the indoor environment*. Paper NY-08-031. Paper presented at ASHRAE Winter Meeting , New York, United States.

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**Integration of network flow modelling and computational fluid dynamics to simulate contaminant transport and behaviour in the indoor environment.** / Samuel, Aizaz Aamir; Strachan, Paul.

Research output: Contribution to conference › Paper

TY - CONF

T1 - Integration of network flow modelling and computational fluid dynamics to simulate contaminant transport and behaviour in the indoor environment

AU - Samuel, Aizaz Aamir

AU - Strachan, Paul

PY - 2008/1/20

Y1 - 2008/1/20

N2 - 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

AB - 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

KW - network flow

KW - modelling

KW - computational fluid dynamics

UR - http://www.ashrae.org/events/page/1252

M3 - Paper

SP - Paper NY-08-031

ER -