Computational Analysis of Thermal Building in a No-uniform Thermal Environment

To predict of the thermal sensation of people located in no-uniform environment, it is very important to define the local heat transfer detail. In this context, the purpose was to make thermal comfort comparison between temperature settings of air conditioning. The temperature was maintained at five different levels which are 19 °C, 21 °C, 23 °C, 26 °C and 29 °C. A Computational Fluid Dynamic (CFD) model of an office was built. It was given similar geometries, boundary conditions and heat sources outputs as a real life test room that was used for measurement. In this study, CFD is applied to predict the thermal sensation of people with modified temperature setting. The comparison of thermal comfort parameters between the field measurement and modeling simulation was done and the result CFD was observed to predict the functionality of modified temperature setting. The analysis shows that the highest temperature setting which is 29 °C, indoor environment increase compared the lowest temperature setting. It is intended to contribute to the effort towards designing and instrumenting buildings that provide cleaner and more comfortable environment and for obtaining maximum energy savings.

[1]  Standard Ashrae.  Thermal Environmental Conditions for Human Occupancy , 1992 .

[2]  Nyuk Hien Wong,et al.  Thermal comfort in classrooms in the tropics , 2003 .

[3]  K. S. Kannan,et al.  Air flow and thermal comfort simulation studies of wind ventilated classrooms in Malaysia , 1996 .

[4]  Liu Yang,et al.  Thermal comfort and building energy consumption implications - A review , 2014 .

[5]  Basharia Yousef.  Thermal Comfort Study and Ventilation Evaluation of an Office , 2012 .

[6]  Miroslaw Zukowski,et al.  A NUMERICAL ANALYSIS OF HEAT AND MASS TRANSFER IN A ROOM WITH THE AIR-UNDERFLOOR HEATING , 2003 .

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

[8]  P. O. Fanger,et al.  Thermal comfort: analysis and applications in environmental engineering, , 1972 .

[9]  Dilshan Remaz Ossen,et al.  Application of CFD in Prediction of Indoor Building Thermal Performance as an Effective Pre-Design Tool Towards Sustainability , 2014 .

[10]  M. N. Ab. Rahman,et al.  The relation between the discomfort level of automotive industries operators towards their workstation design and work environment , 2008 .

[11]  Nor Mariah Adam,et al.  Thermal comfort assessment and potential for energy efficiency enhancement in modern tropical buildings: A review , 2014 .

[12]  J. Dua,et al.  Job Stressors and Their Effects on Physical Health, Emotional Health and Job Satisfaction in a University , 1994 .

[13]  Ashraf A. Shikdar,et al.  Worker productivity, and occupational health and safety issues in selected industries , 2003, Comput. Ind. Eng..

[14]  P. Fanger.  Moderate Thermal Environments Determination of the PMV and PPD Indices and Specification of the Conditions for Thermal Comfort , 1984 .

[15]  Vladimir Glažar,et al.  Numerical Modelling Of Temperature And Air Flow Distribution In Enclosed Room , 2007 .

[16]  Hiroko Kubo,et al.  Interindividual differences in thermal comfort and the responses to skin cooling in young women , 2012 .