Model-based optimization for vapor compression refrigeration cycle

Lei Zhao, Wenjian Cai, Xudong Ding and Weichung Chang

Energy, 2013, vol. 55, issue C, 392-402

Abstract: 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 to the constraints of mechanical limitations, component interactions, environment conditions and cooling load demands. A MGA (modified genetic algorithm) together with a solution strategy for a group of nonlinear equations is proposed to obtain optimal set point under different operating conditions. Simulation studies are conducted to compare the proposed method with traditional on–off control strategy to evaluate its performance. Experiment results of a real practical system are also presented to demonstrate its feasibility.

Keywords: Vapor compression refrigeration cycle; Hybrid components models; Global optimization; Modified genetic algorithm; System simulation and testing (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:55:y:2013:i:c:p:392-402

DOI: 10.1016/j.energy.2013.02.071

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