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ASTM Selected Technical Papers
Modeling of Indoor Air Quality and Exposure
By
NL Nagda
NL Nagda
1
ICF Incorporated
,
vice president, 9300 Lee Highway, Fairfax, VA 22031
;
symposium chairman
.
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ISBN-10:
0-8031-1875-9
ISBN:
978-0-8031-1875-1
No. of Pages:
308
Publisher:
ASTM International
Publication date:
1993

A menu-driven ventilation model for a personal computer was developed that is capable of determining the distributions of time-averaged, two-dimensional, steady-state flow fields and particulate or gaseous contaminants under isothermal conditions for a given particulate/gaseous diffusion coefficient. The model was written for a personal computer so that engineers can use it as a tool to evaluate a potential ventilation performance in indoor space yet to be designed.

The model's computational speed is extremely fast (a few minutes) with reasonable accuracy. This paper discusses the computational algorithm and user interactiveness for the use of this model. Case studies were performed for a simple indoor environment. Ventilation effectiveness in relation to the locations of the supply air duct and the contaminant source was investigated.

1.
Kurabuchi
,
T.
,
Sakamoto
,
Y.
, and
Kaizuka
,
M.
, “
Numerical Prediction of Indoor Airflows by Means of the k-ε Turbulence Model
,”
Proceedings of Building Systems: Room Air and Air Contaminant Distribution
,
American Society of Heating, Refrigeration, and Air-Conditioning Engineers
,
Atlanta
,
1989
, pp. 57–67.
2.
Murakami
,
S.
and
Kato
,
S.
, “
Current Status of Numerical and Experimental Methods for Analyzing Flow Field and Diffusion Field in a Room
,”
Proceedings of Building Systems: Room Air and Air Contaminant Distribution
,
American Society of Heating, Refrigeration, and Air-Conditioning Engineers
,
Atlanta
,
1989
, pp. 39–56.
3.
Baker
,
A. J.
and
Kelso
,
R. M.
, “
On Validation of Computational Fluid Dynamics Procedures for Room Air Motion Prediction
,”
ASHRAE Transactions
, Vol.
96
,
1990
, pp. 760–774.
4.
Kelso
,
R. M.
,
Wilkening
,
L. E.
,
Schaub
,
E. G.
, and
Baker
,
A. J.
, “
Computational Simulation of Kitchen Airflows with Commercial Hoods
,”
Proceedings
, 1992 ASHRAE Winter Meeting,
American Society of Heating, Refrigeration, and Air-Conditioning Engineers
,
Atlanta
,
1992
, 3565.
5.
Chen
,
Q.
, and
Jiang
,
Z.
, “
Significant Questions in Predicting Room Air Motion
,”
Proceedings
, 1992 ASHRAE Winter Meeting,
American Society of Heating, Refrigeration, and Air-Conditioning Engineers
,
Atlanta
,
1992
, AN-92-9-1.
6.
Shanmugavelu
,
I.
,
Kuehn
,
T. H.
, and
Liu
,
B. Y. H.
, “
Numerical Simulation of Flow Fields in Clean Rooms
,”
Proceedings of the Institute of Environmental Sciences
,
Institute of Environmental Sciences
,
Mt. Prospect, IL
,
1987
, pp. 298–303.
7.
Yamamoto
,
T.
,
Donovan
,
R. P.
, and
Ensor
,
D. S.
, “
New Computational Scheme for Two-Dimensional k-ε Model
,”
Proceedings of the IES Annual Meeting
,
Institute of Environmental Sciences
,
Mt. Prospect, IL
,
1991
, pp. 108–112.
8.
Busnaina
,
A. A.
and
Abuzeid
,
S.
, “
Accuracy of Numerical Modeling of Fluid Flow in Clean Rooms
,”
Proceedings of the Institute of the Environmental Sciences
,
Institute of Environmental Sciences
,
Mt. Prospect, IL
,
1989
, pp. 245–250.
9.
Kuehn
,
T. H.
,
Pui
,
D. Y. H.
, and
Gratzek
J. P.
, “
Experimental and Numerical Results for Airflow and Particle Transport in a Microelectronics Clean Room
,”
Proceedings
, 1992 ASHRAE Winter Meeting,
American Society of Heating, Refrigeration, and Air-Conditioning Engineers
,
Atlanta
,
1992
, AN-92-9-2.
10.
Nakamura
,
S.
,
Computational Methods in Engineering and Science with Applications to Fluid Dynamics and Nuclear Systems
,
A Wiley-Interscience Publication, John Wiley and Sons
,
New York
,
1977
, pp. 418–430.
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