Abstract
Energy conservation and occupant comfort have become important aspects of residential buildings. The building’s energy use is greatly influenced by occupant behaviour through the use of heating, ventilation, and air conditioning (HVAC), lighting, etc. to improve occupant comfort inside the building. A home energy management system (HEMS) can be implemented to minimize building energy consumption while maintaining occupant comfort. In this paper, a detailed thermal and electrical model of HEMS has been developed to achieve efficient energy usage and occupant comfort simultaneously. In the proposed model, the HVAC system has been operated by considering all internal heat gains. The proposed model described the thermal, visual, and air quality comforts of the occupants. The Particle Swarm optimization (PSO) algorithm has been applied to the proposed model and the existing model. Finally, the proposed model has been compared with the existing model to validate the effectiveness of the proposed model.
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