A decentralized optimization method for energy saving of HVAC systems

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....

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Bibliographic Details
Published in2013 IEEE International Conference on Automation Science and Engineering (CASE) pp. 225 - 230
Main Authors Zhe Liu, Xi Chen, Xingtian Xu, Xiaohong Guan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2013
Subjects
Cooling
Energy consumption
Junctions
Optimization methods
Poles and towers
Water heating
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Summary: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.
ISSN:2161-8070
2161-8089
DOI:10.1109/CoASE.2013.6654019