Energy Optimization Solution Smart Home And Building Using Internet Of Things Technology
Research on smart home energy-saving has drowned attention of academia and industries in recent years to reduce excess energy consumption on HVAC equipment. Current proposals on smart home energy saving have attained average 45% energy saving potential and are expected to increase annually. However recent investigation shows these solution faced challenge to decide on HVAC set points temperature for indoor ventilation to maintain occupancy thermal comfort satisfaction based on weather condition and occupancies number in the indoor environment. This practice has impact on occupancy productivity and might poses a serious health challenges to both young and elderly occupants. In an attempt to address this challenge study conducted empirical study consisting of 84 participants in Northern part of Nigeria. These participants are classified in four batches and are subjected in large capacity occupancy environment to record their thermal comfort satisfaction based on different setpoints HVAC ventilation rate in order to identify ideal setpoint ventilation temperature favorable to majority of the participants. This is important in designing automatic fuzzy ventilation control system to balance energy saving and occupants thermal comfort satisfaction. The result of study analysis shows 220C indoor setpoints temperature is suitable during the morning time, 160C afternoon, and 190C during the evening time. Furthermore, the study proposes a conceptual framework of smart energy saving control consisting of occupancy detection, and fuzzy logic controller to improve energy saving potential without compromising thermal comfort satisfaction of the occupants. No experimental validation conducted however the proposal sheds more light on researchers who want to improve the current state of the art of the study.