Abstract

This paper presents a novel control system for chiller plants that is decentralized and flat-structured. Each device in chiller plant system is fitted with a smart node. It is a smart agent, which collects, handles and sends out information to its neighbours. All the smart nodes form a network that can realize self-organization and self-recognition. Different kinds of control strategies can be converted into series of decentralized computing processes carried on by the smart nodes. The principle and mechanism of this decentralized, flat-structured control system for chiller plants are described in detail. Then a case study is presented to show how to build the decentralized, flat-structured control system actually. The measured data shows that the decentralized control method is energy efficiency. Moreover, it is much more flexible and scalable compared with the traditional centralized control method.

Highlights

  • Heating, ventilation, and air conditioning (HVAC) systems usually are the largest energy use systems in commercial buildings

  • For a generic office building, more than 60% of total energy use can be generated by HVAC system [1]

  • Within the HVAC system itself, the most energy-consuming part is the chiller plant system, which consists of chillers, pumps, cooling towers and some other electromechanical equipment

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Summary

Introduction

Ventilation, and air conditioning (HVAC) systems usually are the largest energy use systems in commercial buildings. To address the actual application problems described in above, this paper proposes a decentralized control method for the group control of parallel‐connected device in chiller plant system. It presents a new chiller plant control system from a different point of view.

Structure
Basic Unit
Standardized Information Model
Device Model
Decentralized
System Cooperative Protection Algorithm
Device Self-Organizing Optimization Control Algorithm
Coordination
Case Study Based on New System
System Description
Design COP
Scheme Design of the Decentralized Control System
Results and Analysis
Full Text
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