Model-based optimization for vapor compression refrigeration cycle

• Published in: Energy (Oxford) Vol. 55; pp. 392 - 402
• Main Authors: Zhao, Lei, Cai, Wenjian, Ding, Xudong, Chang, Weichung
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 15.06.2013; Elsevier
• Subjects: algorithms; Applied sciences; Compressing; cooling; Cooling loads; Energy; energy costs; Energy. Thermal use of fuels; equations; Exact sciences and technology; Feasibility; Global optimization; Hybrid components models; Modified genetic algorithm; Nonlinear equations; Operating costs; Optimization; Refrigerating engineering; Refrigerating engineering. Cryogenics. Food conservation; Refrigeration; Strategy; system optimization; System simulation and testing; Techniques. Materials; Vapor compression refrigeration cycle; vapors; Global optimization; Hybrid components models; System simulation and testing; Modified genetic algorithm; Vapor compression refrigeration cycle; Vapor compression; Refrigeration cycle; Models; Modeling; Optimization; Compression refrigeration

This paper presents a model-based optimization strategy for vapor compression refrigeration cycle. Through analyzing each component characteristics and interactions within the cycle, the optimization problem is formulated as minimizing the total operating cost of the energy consuming devices subject...