A Thermal Comfort Investigation of a Facility Department of a Hospital in Hot-Humid Climate: Correlation between Objective and Subjective Measurements

A field study on assessing thermal comfort has been performed on one of the large-scale hospitals in Malaysia, a country where the climate is classified as hot-humid. The main objective of this study was to examine the comfort criteria by American Society of Heating, Air conditioning & Refrigeration Engineers, US (ASHRAE) standards in hot-humid regions and also to find the correlation between predicted mean vote (PMV) according to Fanger’s theory and thermal sensation vote (TSV) according to occupant votes. Therefore, both objective and subjective data was collected in this hospital, and this study’s results have confirmed that the preferred temperature is not necessarily in compliance with a neutral temperature, and people in hot-humid areas would prefer cooler environment to neutral temperature. In addition, by analyzing linear regression, a strong correlation between PMV and TSV was found while R2 = 0.950, and also the neutral temperature point in this field study was around +0.75 on the seven-point ASHRAE thermal sensation scale.

[1]  J. F. Nicol,et al.  Understanding the adaptive approach to thermal comfort , 1998 .

[2]  R. de Dear,et al.  Thermal comfort in practice. , 2004 .

[3]  J. van Hoof.  Forty years of Fanger's model of thermal comfort: comfort for all? , 2008, Indoor air.

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

[5]  Michael A. Humphreys,et al.  ADAPTIVE THERMAL COMFORT AND SUSTAINABLE THERMAL STANDARDS FOR BUILDINGS , 2002 .

[6]  B W Olesen,et al.  International standards and the ergonomics of the thermal environment. , 1995, Applied ergonomics.

[7]  R. Dear,et al.  Thermal adaptation in the built environment: a literature review , 1998 .

[8]  Ruey Lung Hwang,et al.  Patient thermal comfort requirement for hospital environments in Taiwan , 2007 .

[9]  R. Dedear,et al.  Validation of the predicted mean vote model of thermal comfort in six Australian field studies , 1985 .

[10]  K. Cena,et al.  Field study of occupant comfort and office thermal environments in a hot, arid climate , 1999 .

[11]  Marco Filippi,et al.  Perception of the thermal environment in high school and university classrooms: Subjective preferences and thermal comfort , 2007 .

[12]  Tzu-Ping Lin,et al.  Thermal perceptions, general adaptation methods and occupant's idea about the trade-off between thermal comfort and energy saving in hot–humid regions , 2009 .

[13]  Jeong Tai Kim,et al.  Building Environmental Assessment Schemes for Rating of IAQ in Sustainable Buildings , 2011 .

[14]  B. T. Chew,et al.  Thermal comfort study of hospital workers in Malaysia. , 2009, Indoor air.

[15]  David Malcolm Rowe,et al.  Activity rates and thermal comfort of office occupants in Sydney , 2001 .

[16]  P. Jones,et al.  Field Measurement and Subjects' Votes Assessment on Thermal Comfort in High-rise Hostels in Malaysia , 2008 .

[17]  Gail Brager,et al.  Developing an adaptive model of thermal comfort and preference , 1998 .

[18]  Samia G. Saad,et al.  Integrated Environmental Management for Hospitals , 2003 .

[19]  Ruey Lung Hwang,et al.  Field experiments on thermal comfort in campus classrooms in Taiwan , 2006 .

[20]  Ardeshir Mahdavi,et al.  Integrating thermal comfort field data analysis in a case-based building simulation environment , 2001 .

[21]  Demetrios J. Moschandreas,et al.  Thermal Comfort Investigation of Naturally Ventilated Classrooms in a Subtropical Region , 2007 .

[22]  Nathan Mendes,et al.  Predictive controllers for thermal comfort optimization and energy savings , 2008 .

[23]  van J Joost Hoof,et al.  Forty years of Fanger’s model of thermal comfort: comfort for all? , 2008 .

[24]  Cinzia Buratti,et al.  Adaptive analysis of thermal comfort in university classrooms: Correlation between experimental data and mathematical models , 2009 .