TY - GEN
T1 - Modelling and Simulation of Home Energy Management System with Occupants Comfort
AU - Yelisetti, Srinivas
AU - Kumar, Rajesh
AU - Lamba, Ravita
AU - Saxena, Akash
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Heating
KW - Home Energy Management System
KW - Lighting System
KW - Ventilation and Air Conditioning System
UR - http://www.scopus.com/inward/record.url?scp=85127607814&partnerID=8YFLogxK
U2 - 10.1109/STPEC52385.2021.9718643
DO - 10.1109/STPEC52385.2021.9718643
M3 - Conference contribution
AN - SCOPUS:85127607814
T3 - Proceedings of 2021 IEEE 2nd International Conference on Smart Technologies for Power, Energy and Control, STPEC 2021
BT - Proceedings of 2021 IEEE 2nd International Conference on Smart Technologies for Power, Energy and Control, STPEC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Smart Technologies for Power, Energy and Control, STPEC 2021
Y2 - 19 December 2021 through 22 December 2021
ER -