Evaluation of Thermal Comfort and Energy Demands in University Classrooms

Abstract

The impetus of this study was to evaluate the current HVAC related energy demands of select classroom at The University of Texas at Tyler at present thermal set points and compare the current energy demands with energy demands based on operating the system at the preferred temperature range of occupants. To determine the preferred temperature range of the students at The University of Texas at Tyler, a subjective assessment was performed by questionnaire survey in a selected classroom along with objective measurements of thermal comfort parameters (air velocity, operative temperature and relative humidity). The questionnaire survey included questions about thermal sensation, perception, acceptability, and relevant demographic and clothing data. Using the Fanger’s thermal comfort model, the Predicted Mean Vote (PMV) and Percentage People Dissatisfied (PPD) was calculated from the objective measurements. Regression analysis performed on the survey data provided the range of neutral, preferred and acceptable temperatures in the classroom. The key contributions of this study were: 1) successful implementation of the on field methodology to access thermal comfort in the hot and humid climate of Tyler, Texas, 2) evaluation of the thermal comfort level of the students and faculty at The University of Texas at Tyler, 3) data acquisition of neutral and preferred temperature ranges which can be used as a reference for HVAC design engineers, and 4) comparison of the relationship between thermal comfort level and energy consumption.

Cyber-Enabled Optimization of HVAC System Control in Open Space of Office Building

“…Additionally, people in Kuwait preferred an average operative temperature of 23 °C and relative humidity of 40%, while factors such as gender, age, and educational background appeared to have a negligible impact on thermal comfort preference. Farooq and Brown conducted a subjective survey to assess the thermal comfort level of students in an auditorium-type university classroom [ 7 ]. The surveys were analyzed using a regression method to predict the neutral temperature, preferred temperature, and acceptable temperature range for the students.…”