A novel online air balancing method for the ventilation duct system via distributed cooperative control. (December 2018)

• Record Type: Journal Article
• Authors: Cui, Can; Zhang, Xin; Cai, Wenjian; Jing, Gang
• Is Part Of: Building and environment. Volume 146(2018)
• Page Start: 177
• Page End: 189
• Publication Date: 2018-12
• Subjects: Ventilation duct system -- Online -- Air balancing -- Distributed cooperative control -- Consensus algorithm -- Model-free; Buildings -- Environmental engineering -- Periodicals; Building -- Research -- Periodicals; Constructions -- Technique de l'environnement -- Périodiques; Electronic journals; 696
• DOI: 10.1016/j.buildenv.2018.09.048
• Languages: English
• ISSNs: 0360-1323

Abstract

Abstract: This paper proposes a novel distributed cooperative control-based online air balancing (DCC-AB) method for the existing ventilation duct systems. Inspired by the application of distributed cooperative control (DCC) in the field of network communication, the DCC is first introduced into HVAC systems to solve the air balancing problem. Based upon the consensus algorithm, the proposed DCC-AB method realizes air flow balance via a prescribed information exchange among the agents in the duct system. The proposed method also incorporates an additional adjustable term that reflects the total power consumption to optimize the energy efficiency. Compared with the existing air balancing methods, the DCC-AB method offers the following advantages: 1.) It is an online method that can be performed during normal operation of the ventilation system without service interruptions. 2.) The distributed control strategy in this method eliminates the necessity of a centralized supervisory control. 3.) It is a model-free method that requires no prior knowledge on the system topology and duct parameters and is therefore easy to apply in practical use. The operation principle and parametric analysis of the DCC-AB method are carefully discussed in this paper. Experiments have also verified the effectiveness of the proposed DCC-AB method. The experimental results demonstrate that the proposed method applies over a large range of design flow requirements and yields robustness against small sensor noise. A rapid and stable convergence is guaranteed among all tested cases and the maximum absolute percentage error can achieve 2.3%. Highlights: The proposed method can be performed during normal operation of the ventilation system without service interruptions. The proposed method requires no prior knowledge on the system topology and duct parameters. The proposed method optimizes the energy efficiency by guaranteeing at least one damper to be fully open. The proposed method ensures rapid convergence and stability under different design flow conditions.