Title :
Optimal control strategy for HVAC system in building energy management
Author :
Yang, Rui ; Wang, Lingfeng
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA
Abstract :
Heating, ventilating and air conditioning (HVAC) systems have played an important role in building energy and comfort management. It is designed to provide a relatively constant and comfortable temperature in buildings and provide fresh and filtered air with a comfortable humidity level. In this paper, an optimal control strategy is proposed to control the HVAC system for maintaining building´s indoor environment with high energy efficiency. The control strategy utilized swarm intelligence to determine the amount of energy dispatched to each equipment in the HVAC system. In order to study the impact of HVAC system operations in the indoor environment, both the building model and HVAC equipment models are developed. A case study is carried out to simulate the real time control process in a specified building environment.
Keywords :
HVAC; building management systems; energy management systems; humidity control; indoor environment; optimal control; HVAC equipment; HVAC system; building comfort management; building energy management; building indoor environment maintaining; comfortable humidity level; comfortable temperature; constant temperature; energy dispatch; energy efficiency; filtered air; fresh air; heating ventilating and air conditioning; optimal control strategy; real time control process; swarm intelligence; Atmospheric modeling; Buildings; Energy consumption; Energy management; Space heating; Ventilation; Building energy management; Energy-efficient buildings; HVAC system; Multi-objective problems; Particle swarm optimization;
Conference_Titel :
Transmission and Distribution Conference and Exposition (T&D), 2012 IEEE PES
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-1934-8
Electronic_ISBN :
2160-8555
DOI :
10.1109/TDC.2012.6281687