Decentralized Optimization for a Novel Control Structure of HVAC System

Wang, Shiqiang; Xing, Jianchun; Jiang, Ziyan; Li, Juelong

doi:10.1155/2016/9402538

Cited by 3 publications

(1 citation statement)

References 24 publications

(30 reference statements)

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“…Different from the procedure in the traditional centralized method, the sensor fault detection and self-repair task are distributed to every smart sensor node without a monitoring host. 20 The major contributions of this paper are as follows:…”

Section: Introductionmentioning

confidence: 99%

A decentralized sensor fault detection and self-repair method for HVAC systems

Wang

Xing

Jiang

et al. 2018

Building Services Engineering Research and Technology

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This study proposes a novel decentralized sensor fault detection and self-repair method for heating, ventilation and air-conditioning systems. From the perspective of network structure, sensor fault diagnosis in heating, ventilation and air-conditioning systems is distributed to the updated smart sensors without the monitoring host, which is necessary in the traditional centralized method. A fully distributed flat sensor network is established based on fundamental physical equations. Similar to the structure, mechanism and characteristics of biological communities, a smart sensor needs only to communicate with adjacent nodes and operate collaboratively to complete sensor fault detection and self-repair tasks. These tasks are formulated as a constrained optimization and are solved by a decentralized algorithm with a penalty function executed in all the sensor nodes in parallel. The diagnosis model introduces an exponential function method to determine the precise location and undertake self-repair of a fault node. Simulation results on a chilled water system illustrate the effectiveness of the proposed method. Practical application: The traditional sensor fault detection and diagnosis methods for heating, ventilation and air-conditioning systems are based on a centralized structure with several deficiencies, such as high maintenance and labor costs, link congestion and operational lag. This study presents a decentralized sensor network structure and exponential-function-based method that possess the advantages of plug-and-play, rapid deployment, high flexibility and convenience for engineering implementation without having to build a central monitor. The efficiency and effectiveness of the proposed method are demonstrated via a case study.

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Section: Introductionmentioning

confidence: 99%