Developing a mathematical model to determine the instantaneous cooling load for Personal Comfort Systems
Thermal comfort is a complex interplay of environmental conditions, individual physiological factors, and localized comfort systems. Heat exchange between the human body and its surroundings occurs via convection, radiation, evaporation, and conduction, all of which are influenced by parameters such as air temperature, relative humidity, air velocity, and clothing insulation. Traditional HVAC systems often address thermal comfort at the macro level, but advancements in personalized environmental control systems (PECS) allow for finer control at the individual level. Developing a technical model that accounts for dynamic environmental parameters, individual metabolic rates, and the influence of personal comfort systems is critical for optimizing energy use while maintaining precise thermal comfort. This study integrates these elements into a real-time cooling load prediction framework, paving the way for enhanced comfort and energy efficiency.
