Development of Virtual Human Agents with Different Thermal Preferences for Energy and Thermal Comfort Simulation

Researchers have used building energy simulation tools such as EnergyPlus to evaluate and occupant thermal preference. is a powerful tool for modeling buildings, However, when controlling the indoor set temperature using EnergyPlus, it common assume that all occupants’ preference same. Therefore, difficult know dynamic personal preferences implement centric set-point control. In this study, we propose various human agents with different realize reliability of simulation. First, make an agent generation algorithm by referring characteristics existing individual models. And then, create virtual suit our needs. Through that, expected allow feel in one space during The final significance study contribute evaluation comfort closer reality through created method.