Optimization of a coil-type heat exchanger using a genetic algorithm
DOI:
https://doi.org/10.33064/iycuaa2024924752Keywords:
heat exchanger, heat transferred, pressure drop, tubes per row, genetic algorithm, optimizationAbstract
The development of a system consisting of a design/calculation algorithm for coil-type heat exchangers and a genetic algorithm for optimization is presented; the first considers variables of importance in the design of heat exchangers, and the second randomly explores different combinations of these variables. The aim is to optimize the transferred heat and the pressure drop, expressed through the relationship, and the number of tubes per row. For the genetic algorithm, the input variables are restricted to ranges within the physically functional range. Optimized values of 11012 W for, 15.44 kPa for, and 18 tubes/row for were obtained. The maximum increase predicted in, compared to the highest value observed in experiments, was 43%; with respect to the design value obtained with a commercial computational package, the improvement was 31%.
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Copyright (c) 2024 Ricardo Del Castillo-Tinajero, Esperanza Rodríguez-Morales, José Julián III Montes-Rodríguez
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