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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Vydané v:	Applied thermal engineering Ročník 51; číslo 1-2; s. 753 - 763
Hlavní autori:	Zhao, Lei, Cai, Wen-Jian, Ding, Xu-dong, Chang, Wei-chung
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Kidlington Elsevier Ltd 01.03.2013 Elsevier
Predmet:	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
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