Global optimization of a vapor compression refrigeration system with a self-adaptive differential evolution algorithm

•A model to predict the performance and energy consumption of VCRS is established.•A global optimization strategy avoiding local minimum is proposed.•The SADE algorithm is adopted to solve the optimization problem with fast speed.•Average 15.57% energy savings can be obtained by the global optimizat...

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Bibliographic Details
Published in:	Applied thermal engineering Vol. 197; p. 117427
Main Authors:	Kong, Dehao, Yin, Xiaohong, Ding, Xudong, Fang, Ning, Duan, Peiyong
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.10.2021 Elsevier BV
Subjects:	Adaptive algorithms Air conditioning Algorithms Cooling loads Energy consumption Energy savings Evolutionary algorithms Evolutionary computation Global optimization Global optimization strategy Heat transfer Optimization Refrigeration Self-adaptive differential evolution algorithm System effectiveness Vapor compression refrigeration Vapor compression refrigeration system Vapor compression refrigeration system Self-adaptive differential evolution algorithm Global optimization strategy Energy savings
ISSN:	1359-4311, 1873-5606
Online Access:	Get full text
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