Decentralized control of parallel-connected chillers

被引：7

作者：

Dai, Yunchuang ^{[1
]}

Jiang, Ziyan ^{[1
]}

Wang, Sheng ^{[2
]}

机构：

[1] Tsinghua Univ, Beijing 100084, Peoples R China

[2] Gree Elect Appliances Inc, Zhuhai 519070, Peoples R China

来源：

CISBAT 2017 INTERNATIONAL CONFERENCE FUTURE BUILDINGS & DISTRICTS - ENERGY EFFICIENCY FROM NANO TO URBAN SCALE | 2017年 / 122卷

关键词：

Decentralized; Optimal control; Smart device; Chiller; STRATEGY; SYSTEMS; ENERGY;

D O I：

10.1016/j.egypro.2017.07.375

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

This paper introduces a novel idea of a decentralized method for the optimal control of parallel-connected chillers in Heating Ventilation and Air Conditioning (HVAC) systems. In this decentralized control system, each chiller, equipped with a decentralized controller embedded with identical control algorithms, becomes a smart chiller and can communicate with others collaboratively to meet the control requirements and to be energy efficient. A decentralized optimal control algorithm is developed and validated through simulation for different cases, and further demonstrated through hardware application in an actual project in a factory of south China. Compared with the traditional centralized control method, this decentralized control method is much more flexible and more efficient. (C) 2017 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the scientific committee of the CISBAT 2017 International Conference Future Buildings & Districts Energy Efficiency from Nano to Urban Scale

引用

页码：86 / 91

页数：6

共 8 条

[1] A novel approach for optimal chiller loading using particle swarm optimization [J].

Ardakani, A. Jahanbani ;

Ardakani, F. Fattahi ;

Hosseinian, S. H. .

ENERGY AND BUILDINGS, 2008, 40 (12) :2177-2187

[2] Optimal, chiller loading by evolution strategy for saving energy [J].

Chang, Yung-Chung .

ENERGY AND BUILDINGS, 2007, 39 (04) :437-444

[3] An innovative approach for demand side management - optimal chiller loading by simulated annealing [J].

Chang, Yung-Chung .

ENERGY, 2006, 31 (12) :1883-1896

[4] Optimal chiller loading by particle swarm algorithm for reducing energy consumption [J].

Lee, Wen-Shing ;

Lin, Lung-Chieh .

APPLIED THERMAL ENGINEERING, 2009, 29 (8-9) :1730-1734

[5] Using cooling load forecast as the optimal operation scheme for a large multi-chiller system [J].

Lu, Yan-Yue ;

Chen, Junghui ;

Liu, Tzu-Chi ;

Chien, Min-Hsien .

INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID, 2011, 34 (08) :2050-2062

[6] A supervisory control strategy for building cooling water systems for practical and real time applications [J].

Ma, Zhenjun ;

Wang, Shengwei ;

Xu, Xinhua ;

Xiao, Fu .

ENERGY CONVERSION AND MANAGEMENT, 2008, 49 (08) :2324-2336

[7] Supervisory and optimal control of building HVAC systems: A review [J].

Shengwei Wang ;

Zhenjun Ma .

HVAC&R RESEARCH, 2008, 14 (01) :3-32

[8] Chiller Plant Optimization - An Integrated Optimization Approach for Chiller Sequencing and Control [J].

Torzhkov, Andrey ;

Sharma, Puneet ;

Li, Chengbo ;

Toso, Rodrigo ;

Chakraborty, Amit .

49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2010, :2741-2746

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