Decentralized optimization for vapor compression refrigeration cycle

This paper presents a model based decentralized optimization method for vapor compression refrigeration cycle (VCC). The overall system optimization problem is formulated and separated into minimizing the energy consumption of three interactive individual subsystems subject to the constraints of hyb...

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Bibliographic Details
Published in:	Applied thermal engineering Vol. 51; no. 1-2; pp. 753 - 763
Main Authors:	Zhao, Lei, Cai, Wen-Jian, Ding, Xu-dong, Chang, Wei-chung
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01.03.2013 Elsevier
Subjects:	Algorithms Applied sciences Compressing Decentralized Decentralized optimization Decentralized problem formulation Energy Energy consumption Energy. Thermal use of fuels Exact sciences and technology Genetic algorithms Hybrid component models Optimization Refrigerating engineering Refrigerating engineering. Cryogenics. Food conservation Refrigeration Techniques. Materials Thermal engineering Vapor compression refrigeration cycle Decentralized optimization Decentralized problem formulation Vapor compression refrigeration cycle Hybrid component models
ISSN:	1359-4311
Online Access:	Get full text
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