Thursday August 29, 2019 from 10:40 to 12:00
Multibank microchannel heat exchanger pass optimization using integer permutation based genetic algorithm
Zhenning Li1, Jiazhen Ling1, Vikrant Aute1.
1University of Maryland, College Park, United States
Microchannel heat exchangers(MCHXs) 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 multibank 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 an optimization approach to solve this problem. This paper presents a novel integer permutation based Genetic Algorithm(GA) framework for multibank MCHX pass optimization. Novel genetic operators are designed such that all individuals generated by GA can be decoded as valid MCHX pass configurations. Case studies are presented to show that the proposed approach yields MCHX designs which have 3.7-12.8% improvement in heat exchanger capacity than non-optimized pass configurations.