TY - GEN
T1 - Multi-bank microchannel heat exchanger pass optimization using integer permutation based genetic algorithm
AU - Li, Zhenning
AU - Ling, Jiazhen
AU - Aute, Vikrant
N1 - Publisher Copyright:
© 2019 International Institute of Refrigeration. All rights reserved.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Genetic Algorithm
KW - Integer Permutation
KW - Microchannel Heat Exchanger
KW - Pass Optimization
UR - http://www.scopus.com/inward/record.url?scp=85082722842&partnerID=8YFLogxK
U2 - 10.18462/iir.icr.2019.0894
DO - 10.18462/iir.icr.2019.0894
M3 - Conference contribution
AN - SCOPUS:85082722842
T3 - Refrigeration Science and Technology
SP - 2383
EP - 2390
BT - ICR 2019 - 25th IIR International Congress of Refrigeration
A2 - Minea, Vasile
PB - International Institute of Refrigeration
T2 - 25th IIR International Congress of Refrigeration, ICR 2019
Y2 - 24 August 2019 through 30 August 2019
ER -