SIMULATION OF INDOOR AIR FLOW FOR A ROOM WITH WINDOWS AT THEIR ADJACENT WALLS UNDER VARIOUS WIND FLOW DIRECTION USING CFD

The present paper is about to study the effect of wind direction on thermal comfort in an office room with windows at their adjacent walls. As a preliminary work, a suitable turbulence model was selected by analyzing the various turbulence models like Standard K-e, Renormalization-group (RNG) K-e and Realizable K-e model and their closeness to the experimental results are predicted. From the preliminary study, Standard K-e model is selected as a suitable turbulence model for this thermal comfort study. The CFD simulation is also checked for grid independence test. Secondly, the effect of wind direction on thermal comfort was analyzed by including the fluctuation of wind direction. The CFD simulated mass flow rate for all wind directions are compared with the network work model and the maximum discrepancy obtained is 9.97% which is within the accepted level. The indoor air flow pattern, temperature distributions, are predicted and these results are very much useful to identify the most comfort and un comfort zones prevailed inside the room for various wind directions.

[1]  Paramasivam Ravikumar,et al.  Analysis of thermal comfort in an office room by varying the dimensions of the windows on adjacent walls using CFD: A case study based on numerical simulation , 2009 .

[2]  Weeratunge Malalasekera,et al.  An introduction to computational fluid dynamics - the finite volume method , 2007 .

[3]  Bart Nicolai,et al.  Analysis of the air flow in a cold store by means of computational fluid dynamics , 2000 .

[4]  G. Evola,et al.  Computational analysis of wind driven natural ventilation in buildings , 2006 .

[5]  Derek Dunn-Rankin,et al.  Measurement and prediction of indoor air flow in a model room , 2003 .

[6]  A. Rosenfeld,et al.  Estimates of Improved Productivity and Health from Better Indoor Environments , 1997 .

[7]  Andrew Quinn,et al.  A Comparison of CFD and Full-scale Measurements for Analysis of Natural Ventilation , 2006 .

[8]  Fariborz Haghighat,et al.  A systematic approach to describe the air terminal device in CFD simulation for room air distribution analysis , 2000 .

[9]  Mohamed B. Gadi,et al.  A comparison between CFD and Network models for predicting wind-driven ventilation in buildings , 2007 .

[10]  L R Goldman,et al.  Elevated Symptom Prevalence Associated with Ventilation Type in Office Buildings , 1996, Epidemiology.

[11]  M. K. White,et al.  Single-sided natural ventilation—How deep an office?† , 1992 .

[12]  Shinsuke Kato,et al.  Radiational panel cooling system with continuous natural cross ventilation for hot and humid regions , 2004 .

[13]  O. Zeidler,et al.  Investigation of the impact of natural ventilation through windows on thermal comfort , 1998 .

[14]  W. Rodi,et al.  Calculation of the flow past a surface-mounted cube with two-layer turbulence models , 1997 .

[15]  Pedro Dinis Gaspar,et al.  Performance evaluation of CFD codes in building energy and environmental analysis , 2003 .

[16]  Yuanhui Zhang,et al.  Development of PIV techniques to measure airflow patterns in ventilated airspaces , 1999 .

[17]  Michel Havet,et al.  Computation of the airflow in a pilot scale clean room using K-ε turbulence models , 2002 .