Multi-bank microchannel heat exchanger pass optimization using integer permutation based genetic algorithm

Zhenning Li, Jiazhen Ling, Vikrant Aute

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Microchannel heat exchangers(MCHX) are increasingly applied in heat pump applications due to their compactness, high heat transfer effectiveness and reduced charge. Their performance is strongly influenced by the pass arrangement. For multi-bank MCHX, pass optimization is particularly challenging since the number of candidate designs is exponentially large. Neither the exhaustive search nor traditional optimization algorithms can effectively find optimal designs in this case. So far, very few studies on MCHX pass arrangements have appeared in the literature, and no study presents a systematic optimization approach to solve this problem. This paper presents a novel integer permutation based Genetic Algorithm(GA) for multi-bank MCHX pass optimization. Novel genetic operators are designed such that all individuals generated by GA can be decoded as feasible MCHX pass configurations. Case studies are presented to show that the proposed approach yields MCHX designs with 8.1-10.3% improved capacity than non-optimized pass configurations.

Original languageEnglish
Title of host publicationICR 2019 - 25th IIR International Congress of Refrigeration
EditorsVasile Minea
PublisherInternational Institute of Refrigeration
Pages2383-2390
Number of pages8
ISBN (Electronic)9782362150357
DOIs
StatePublished - 2019
Externally publishedYes
Event25th IIR International Congress of Refrigeration, ICR 2019 - Montreal, Canada
Duration: Aug 24 2019Aug 30 2019

Publication series

NameRefrigeration Science and Technology
Volume2019-August
ISSN (Print)0151-1637

Conference

Conference25th IIR International Congress of Refrigeration, ICR 2019
Country/TerritoryCanada
CityMontreal
Period08/24/1908/30/19

Keywords

  • Genetic Algorithm
  • Integer Permutation
  • Microchannel Heat Exchanger
  • Pass Optimization

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