Artificial Intelligence for Efficient Thermal Comfort Systems: Requirements, Current Applications and Future Directions

摘要: Author(s): Ghahramani, Ali; Galicia, Parson; Lehrer, David; Varghese, Zubin; Wang, Zhe; Pandit, Yogesh | Abstract: In buildings, one or a combination of systems (e.g., central HVAC system, ceiling fan, desk personal heater, and foot warmer) are often responsible for providing thermal comfort to the occupants. While has been shown differ from person vary over time, these operated based on prefixed setpoints schedule operations at request/routine each individual. This leads occupants’ discomfort energy wastes. To enable improvements in both efficiency autonomously, this paper, we describe necessity an integrated system sensors wearable sensors/infrared sensors), infrastructure enabling interoperability, learning control algorithms, actuators setpoints, fans) work under governing intelligent system. assist readers with little no exposure artificial intelligence (AI), fundamentals entity (rational agent) components its problem-solving process (i.e., search logic inference, machine learning) provide examples literature. We then discuss current application buildings comprehensive review finally future directions fully automated efficient manner. It is apparent that all aspects be needed better ascertain correct activate how long increase overall improve comfort.