CFD study of the thermal environment in an air-conditioned train station building

This study used the computational fluid dynamics (CFD) method to evaluate the indoor thermal environment of an air-conditioned train station building under three types of air-conditioning design schemes. The impacts of air-conditioning design parameters such as supply air temperature, velocity, altitude and angle of incidence were also investigated. The numerical results showed that if the waiting hall and entrance hall of the train station building were connected to each other and served with the cooling air respectively, when the cooling loads in the two halls were fixed and air-conditioning systems were designed properly, altering largely the cooling air supply scheme in the waiting hall while keeping the cooling air supply scheme in the entrance hall unchanged would have significant effects on the air distribution and thermal comfort in the occupied region of the waiting hall but may have some minor effects on those in the occupied region of the entrance hall. The uniformities of velocity and temperature distributions in the occupied region of waiting hall were satisfactory when side supply scheme was applied. Changing supply air temperature, velocity, altitude and angle of incidence would yield great effects on the thermal environment in the train station building. For the stratified air-conditioning design in the train station building, in order to obtain the satisfactory thermal comfort in the occupied region, the mid-height of the building was found to be a good position for the cooling air supply and the supply angle of 0° from the horizontal could be recommendable. The results also indicated that analyzing the effects of air-conditioning design parameters on the building environment with CFD was an effective method to find the way to optimize the air-conditioning design scheme.

[1]  Mats Sandberg,et al.  Investigation of air quality, comfort parameters and effectiveness for two floor-level air supply systems in classrooms , 2007 .

[2]  Refrigerating.  ASHRAE handbook and product directory /published by the American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc , 1977 .

[3]  B. Launder,et al.  Progress in the development of a Reynolds-stress turbulence closure , 1975, Journal of Fluid Mechanics.

[4]  Qingyan Chen,et al.  Significant questions in predicting room air motion , 1992 .

[5]  Refrigerating.  1989 ASHRAE handbook : fundamentals , 1989 .

[6]  Edward Henry Mathews,et al.  Numerical solutions of fluid problems related to buildings, structures and the environment , 1989 .

[7]  S. Orszag,et al.  Renormalization group analysis of turbulence. I. Basic theory , 1986 .

[8]  Leslie M. Smith,et al.  Renormalization group analysis of turbulence , 2003 .

[9]  A. D. Cattaneo,et al.  Air Conditioning , 2019 .

[10]  Qingyan Chen,et al.  Using computational tools to factor wind into architectural environment design , 2004 .

[11]  P. O. Tjelflaat,et al.  Guidelines for CFD modeling of atria , 1995 .

[12]  Bahram Moshfegh,et al.  Numerical predictions of indoor climate in large industrial premises. A comparison between different k–ε models supported by field measurements , 2007 .

[13]  O. I. Stathopoulou,et al.  Indoor air quality in a dentistry clinic. , 2007, The Science of the total environment.

[14]  John D. Spengler,et al.  Indoor Air Quality Factors in Designing a Healthy Building , 2000 .

[15]  E Ery Djunaedy,et al.  Thermal comfort study of an air-conditioned lecture theatre in the tropics , 2003 .

[16]  Chris T. Kiranoudis,et al.  Computational analysis of thermal comfort: the case of the archaeological museum of Athens , 2000 .

[17]  W. Rodi,et al.  A Turbulence Model for Buoyant Flows and Its Application to Vertical Buoyant Jets , 1982 .

[18]  Lars Davidson,et al.  MODIFIED COLLOCATED SIMPLEC ALGORITHM APPLIED TO BUOYANCY-AFFECTED TURBULENT FLOW USING A MULTIGRID SOLUTION PROCEDURE , 1995 .

[19]  Qingyan Chen.  COMPARISON OF DIFFERENT k-ε MODELS FOR INDOOR AIR FLOW COMPUTATIONS , 1995 .

[20]  Dominique Laurence,et al.  New low-Reynolds-number k-ε model including damping effect due to buoyancy in a stratified flow field , 1996 .

[21]  B. Launder,et al.  The numerical computation of turbulent flows , 1990 .

[22]  Shuzo Murakami,et al.  CFD analysis of flow and temperature fields in atrium with ceiling height of 130 m , 1995 .

[23]  Shuzo Murakami,et al.  Chained analysis of wind tunnel test and CFD on cross ventilation of large-scale market building , 1997 .

[24]  Anastasios I. Stamou,et al.  Verification of a CFD model for indoor airflow and heat transfer , 2006 .

[25]  Francis W.H. Yik,et al.  Locating air-conditioners and furniture inside residential flats to obtain good thermal comfort , 2002 .

[26]  Wan Ki Chow,et al.  Numerical studies on the indoor air flow in the occupied zone of ventilated and air-conditioned space , 1996 .

[27]  Wong Nyuk Hien,et al.  Effects of double glazed facade on energy consumption, thermal comfort and condensation for a typical office building in Singapore , 2005 .