Supervisor: Dr Harimi Djamila
Adoree Megan Bensing
Metric No: BK10110004
Topic: PREDICTION OF INDOOR COMFORT TEMPERATURE IN UMS LIBRARY
Abstract: This study explores the indoor comfort temperature, specifically in the University Malaysia Sabah (UMS) Library building. The thermal comfort study in this research does not only consider the six key factors affecting occupant’s thermal comfort, but also the heat exchange processes of occupant’s body toward the indoor environment. This research focused on the prediction of thermal comfort by using the regression and Predicted Mean Vote (PMV) analysis. To obtain the required data, a survey was conducted with 100 UMS student. Appropriate tools were also used to collect data regarding the physical climate room. Once all the data was acquired, they were brought to PMV analysis. The PMV method involved the use of a software programme called ‘de Dear’ which was developed by Professor Richard from the University of Sydney, Australia. The software is available online and its validation was done by comparing the result with the regression analysis. The results of this study identify which indoor temperature is most suited for UMS students whom are the major occupants at UMS Library. This has effect in providing pleasant thermal environment to the students.