Abstract
A decentralized control structure is introduced into the heating, ventilation, and air conditioning (HVAC) system to solve the high maintenance and labor cost problem in actual engineering. Based on this new control system, a decentralized optimization method is presented for sensor fault repair and optimal group control of HVAC equipment. Convergence property of the novel method is theoretically analyzed considering both convex and nonconvex systems with constraints. In this decentralized control system, traditional device is fitted with a control chip such that it becomes a smart device. The smart device can communicate and operate collaboratively with the other devices to accomplish some designated tasks. The effectiveness of the presented method is verified by simulations and hardware tests.
Highlights
The heating, ventilation, and air conditioning (HVAC) system is responsible for providing a high-quality and healthy environment for the building’s occupants. It comprises a set of interconnected subsystems, including the heating and cooling plants, the ventilation system, and one or more zones served by the terminal units of the ventilation system
The proprietor has to rely on a system integrator for HVAC control systems
Smart devices communicate with their neighboring nodes and work collaboratively to perform the control tasks
Summary
The heating, ventilation, and air conditioning (HVAC) system is responsible for providing a high-quality and healthy environment for the building’s occupants. The current DDC based control architecture in HVAC systems has several deficiencies during construction and operation. Under the conventional HVAC control structure, the majority of sensor fault detection and diagnosis (SFDD) methods are based on a centralized algorithm [2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19]. The group control in large-scale HVAC control systems is another challenge encountered [20]. As the conventional control structure is a barrier for the broad application of HVAC control systems, new architecture with features such as easy extension, convenient implementation, and plug-and-play operation has never been more desirable. The objective and main contribution of the present study are the design and analysis of a novel decentralized method for the SFDD and the group control based on a decentralized HVAC control system
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