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Multibank microchannel heat exchanger pass optimization using integer permutation based genetic algorithm.

Number: pap. n. 894

Author(s) : LI Z., LING J., AUTE V.

Summary

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.

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Pages: 8

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Details

  • Original title: Multibank microchannel heat exchanger pass optimization using integer permutation based genetic algorithm.
  • Record ID : 30026496
  • Languages: English
  • Source: Proceedings of the 25th IIR International Congress of Refrigeration: Montréal , Canada, August 24-30, 2019.
  • Publication date: 2019/08/24
  • DOI: http://dx.doi.org/10.18462/iir.icr.2019.0894

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