The thermal characteristics of buildings such as thermal insulation performance are improving year by year, but differ greatly depending on when the building was constructed. Older buildings therefore require a flow of high-temperature water in order to maintain a comfortable room temperature (e.g. 20°C), while newer buildings require lower temperature water. Our research modeled the relationship between water temperature, outside temperature, and room temperature, and developed a thermal characteristic learning algorithm able to learn the thermal characteristics of a building such as heat dissipation characteristics and time constants from heat pump operation data.

Our new hot water heating control technology determines the optimal water temperature depending on fluctuations in the outside temperature and the room temperature, with consideration of the thermal characteristics of the building. It improves responsivity when the thermostat setting is changed, and reduces room temperature fluctuations after the set room temperature is reached, increasing comfort for occupants. In addition, the reduction of unnecessary heat pump operation increases the efficiency of heat pump operation, improving energy-saving performance.