Numerical Simulation Of Natural Ventilation For Full-Scale Office In Malaysia

The Natural ventilation is the sustainable solution to maintain the health and environmental conditions comfortable in buildings. This paper presents a 3D computational fluid dynamics (CFD) analysis to investigate indoor environmental conditions of naturally ventilated typical size of single office room of a high-glass wall fitted with two operable windows. The purpose of this work is to facilitate design and analysis of suitable window measurements. The numerical results obtained for a particular time (solar time) available and the maximum discrepancy obtained are 1.7% of temperature and 3% of velocity which are within the accepted level and computations with the CFD based model show best agreement with measurements and good thermal comfort is achieved when the outdoor temperature is moderate.

REFERENCES

[1] S.K Chaturvedi, T.O Mohieklin, A CFD anaylisis of effects of vent-location on pollutant concentration in rooms, in: Proceedings of the conference on Building Systems: Room Air and Air Contaminant Distribution ASHRAE, University of Illinois press. Urbana-Champaign, II, USA, 1988, pp. 158-160.

[2] Rajapaksha I. Passive Cooling in the Tropics: A Design Proposition for Natural Ventilation, The 21st Conference on Passive and Low Energy Architecture. Eindhoven, the Netherlands, 19 � 22 September 2004. University of Moratuwa, Moratuwa, Sri Lanka

[3] Guohui Gan, (2006). Simulation of buoyancy-induced flow in open cavities for natural ventilation, Energy and Buildings 38 (5) 410�420

[4] Fisk W.J and Rosen A.H. (1997) Estimates of improved productivity and health from better indoor environments Indoor Air. 7: 158-172.

[5] M. Cable, P.H. Oosthuizen, An evaluation of turbulent models for the numerical study of mixed and natural forced convective flow in atria, in: Proceedings of the 2nd Canadian Solar Buildings Conference, Calgary, June 10�14,2007.

[6] G. Stavrakakis, M. Koukou, (2008) Natural cross-ventilation in buildings: building scale experiments, numerical simulation and thermal comfort evaluation, Energy and Buildings 40 (9) 1666�1681

[7] Tahir Ayata, (2005) Temperature distributions in a copper and aluminum layered base of a CrNi-steel saucepan Original Research Article Applied Energy, Volume 80, (4), Pages 341-347

[8] Posner JD, Buchanan CR, Dunn-Rankin D. (2003) Measurement and prediction of indoor air flow in a model room. Energy and Building; 35(5):515�26.

[9] Busnaina A.A., Salem A., Zharif M.A.R., Three-dimensional numerical simulation of fluid flow and particle transport in clean room in: proceedings of the conference of institute of environmental sciences, Institute of environmental Sciences, 1988,pp.326-330.

[10] Chen Q. Comparison of different K-ε models for indoor air flow computations, Numerical Heat transfer, Part B 28 (1995)353-369.

[11] Choi H.L., Albright L.D Timmons M.B., An application of the K-3 turbulence model to predict how a rectangular obstacle in a slot-ventilated enclosure affects air flow, transactions in Agriculture 33(1) (1990)274-281.

[12] Chow W.K., Fung W.Y. (1996) Numerical studies on the indoor air flow in the occupied zone of ventilated and air conditioned space, Building and environment 31(4) 319-344.

[13] Fan Y. (1995) CFD modeling of air flow and contaminant distribution in rooms, Energy and Buildings 23(1) 33-39.

[14] Jones P., Waters R, The practical application of indoor air flow modeling, in N. Nagada (Ed.) proceedings of the conference on modeling of indoor air Quality and Exposure, American Society for Testing and Materials, Philadelphia 1993, pp. 173-181.