TY - GEN
T1 - A decentralized optimization method for energy saving of HVAC systems
AU - Liu, Zhe
AU - Chen, Xi
AU - Xu, Xingtian
AU - Guan, Xiaohong
PY - 2013
Y1 - 2013
N2 - Improving the control strategy of building HVAC (heating, ventilation, and air-conditioning) systems can lead to significant energy savings while preserving human comfort requirements. This paper proposes a decentralized optimization method for optimal setpoint control for HVAC system energy saving. The HVAC system is divided into multiple subsystems and a decentralized optimization algorithm is introduced based on the local information. With limited knowledge of its neighboring subsystems, each subsystem can achieve the local/global optimal solution of the original optimization problem, which may be nonconvex and includes both discrete and continuous decision variables. Simulation results demonstrate the effectiveness of the proposed method.
AB - Improving the control strategy of building HVAC (heating, ventilation, and air-conditioning) systems can lead to significant energy savings while preserving human comfort requirements. This paper proposes a decentralized optimization method for optimal setpoint control for HVAC system energy saving. The HVAC system is divided into multiple subsystems and a decentralized optimization algorithm is introduced based on the local information. With limited knowledge of its neighboring subsystems, each subsystem can achieve the local/global optimal solution of the original optimization problem, which may be nonconvex and includes both discrete and continuous decision variables. Simulation results demonstrate the effectiveness of the proposed method.
UR - https://www.scopus.com/pages/publications/84891549368
U2 - 10.1109/CoASE.2013.6654019
DO - 10.1109/CoASE.2013.6654019
M3 - 会议稿件
AN - SCOPUS:84891549368
SN - 9781479915156
T3 - IEEE International Conference on Automation Science and Engineering
SP - 225
EP - 230
BT - 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
T2 - 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
Y2 - 17 August 2013 through 20 August 2013
ER -