Optimización de un intercambiador de calor tipo serpentín mediante un algoritmo genético

Ricardo Del Castillo-Tinajero; Esperanza Rodríguez-Morales; José Julián III Montes-Rodríguez

doi:10.33064/iycuaa2024924752

Authors

Ricardo Del Castillo-Tinajero Instituto Tecnológico de Querétaro
Esperanza Rodríguez-Morales Instituto Tecnológico de Querétaro https://orcid.org/0000-0002-2026-886X
José Julián III Montes-Rodríguez Centro de Ingeniería y Desarrollo Industrial https://orcid.org/0000-0002-4816-1001

DOI:

https://doi.org/10.33064/iycuaa2024924752

Keywords:

heat exchanger, heat transferred, pressure drop, tubes per row, genetic algorithm, optimization

Abstract

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%.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

• Al-Obaidi, M.A., Li, J.P., Kara-Zaïtri, C., & Mujtaba, I.M. (2017). Optimisation of reverse osmosis based wastewater treatment system for the removal of chlorophenol using genetic algorithms. Chemical Engineering Journal, 316, 91-100.

• Cao, E. (2010). Heat Transfer in Process Engineering. New York: McGraw Hill.

• Colburn, A.P. (1951). Problems in Design and Research on Condensers of Vapours and Vapour Mixtures. General Discussion on Heat Transfer arranged by the Institution of Mechanical Engineers and the American Society of Mechanical Engineers, 448-458.

• Glavan, M., Gradišar, D., Invitto, S., Humar, I., Juričić, Ð., Pianese, C., & Vrančić, D. (2016). Cost optimisation of supermarket refrigeration system with hybrid model. Applied Thermal Engineering, 103, 56-66.

• Imran, M., Pambudi, N.A., & Farooq, M. (2017). Thermal and hydraulic optimization of plate heat exchanger using multi objective genetic algorithm. Case Studies in Thermal Engineering, 10, 570-578.

• Jafari-Marandi, R., & Smith, B.K. (2017). Fluid Genetic Algorithm (FGA). Journal of Computational Design and Engineering, 4, 158-167.

• Kayabasi, E., & Kurt, H. (2018). Simulation of heat exchangers and heat exchanger networks with an economic aspect. Engineering Science and Technology, an International Journal, 21, 70-76.

• Liu, C., Bu, W., & Xu, D. (2017). Multi-objective shape optimization of a plate-fin heat exchanger using CFD and multi-objective genetic algorithm. International Journal of Heat and Mass Transfer, 111, 65-82.

• Liu, Q., Tao, Y., Shi, L., Zhou, T., Huang, Y., Peng, Y., Wang, Y., & Tu, J. (2023). Parametric optimization of a spiral ground heat exchanger by response surface methodology and multi-objective genetic algorithm. Applied Thermal Engineering, 221, paper 119824.

• Raja, B.D., Vivek, P., & Jhala, R.L. (2017). Thermal design and optimization of fin-and-tube heat exchanger using heat transfer search algorithm. Thermal Science and Engineering Progress, 4, 45-57.

• Shih, Y.-C., Lee, Y.-C., & Lin, K-C. (2023). Optimized design on the thermohydraulic performance of the helical coil heat exchanger. International Journal of Thermofluids, 17, paper 100271.

• Wang, L., Sundén, B., & Manglik, R.M. (2007). Plate Heat Exchangers: Design, Applications and Performance. Southampton, UK: WIT Press.

• Xie, G.N., Sunden, B., & Wang, Q.W. (2008). Optimization of compact heat exchangers by a genetic algorithm. Applied Thermal Engineering, 28, 895-906.