### Abstract

Language | English |
---|---|

Pages | 250-258 |

Journal | American Society of Heating Refrigerating and Air Conditioning Engineers (ASHRAE) Transactions |

Volume | 114 |

Publication status | Published - Jan 2008 |

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

### Fingerprint

### Keywords

- computational fluid dynamics
- CFD
- airflow
- pollutant
- multizone modeling

### Cite this

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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 journal › Article

TY - JOUR

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

Y1 - 2008/1

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 - computational fluid dynamics

KW - CFD

KW - airflow

KW - pollutant

KW - multizone modeling

UR - http://tc410.ashraetcs.org/programs.html

M3 - Article

VL - 114

SP - 250

EP - 258

JO - American Society of Heating Refrigerating and Air Conditioning Engineers (ASHRAE) Transactions

T2 - American Society of Heating Refrigerating and Air Conditioning Engineers (ASHRAE) Transactions

JF - American Society of Heating Refrigerating and Air Conditioning Engineers (ASHRAE) Transactions

SN - 0001-2505

ER -