Systematic analysis of the heat exchanger arrangement problem using multi-objective genetic optimization

László Daróczy, Gábor Janiga and Dominique Thévenin

Energy, 2014, vol. 65, issue C, 364-373

Abstract: A two-dimensional cross-flow tube bank heat exchanger arrangement problem with internal laminar flow is considered in this work. The objective is to optimize the arrangement of tubes and find the most favorable geometries, in order to simultaneously maximize the rate of heat exchange while obtaining a minimum pressure loss. A systematic study was performed involving a large number of simulations. The global optimization method NSGA-II was retained. A fully automatized in-house optimization environment was used to solve the problem, including mesh generation and CFD (computational fluid dynamics) simulations. The optimization was performed in parallel on a Linux cluster with a very good speed-up.

Keywords: Heat exchanger; Laminar flow; Optimization; Multi-objective; Genetic algorithm (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:65:y:2014:i:c:p:364-373

DOI: 10.1016/j.energy.2013.11.035

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