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Multi-Objective Optimization of a Multilayer Wire-on-Tube Condenser: Case Study R134a, R600a, and R513A

Author

Listed:
  • Yonathan Heredia-Aricapa

    (Department of Mechanical Engineering, Engineering Division, Campus Irapuato-Salamanca, University of Guanajuato, Guanajuato 36885, Mexico)

  • Juan M. Belman-Flores

    (Department of Mechanical Engineering, Engineering Division, Campus Irapuato-Salamanca, University of Guanajuato, Guanajuato 36885, Mexico)

  • Jorge A. Soria-Alcaraz

    (Departamento de Estudios Organizacionales, División de Ciencias Económico Administrativas, University of Guanajuato, Guanajuato 36885, Mexico)

  • Vicente Pérez-García

    (Department of Mechanical Engineering, Engineering Division, Campus Irapuato-Salamanca, University of Guanajuato, Guanajuato 36885, Mexico)

  • Francisco Elizalde-Blancas

    (Department of Mechanical Engineering, Engineering Division, Campus Irapuato-Salamanca, University of Guanajuato, Guanajuato 36885, Mexico)

  • Jorge A. Alfaro-Ayala

    (Department of Chemical Engineering, DCNE, University of Guanajuato, Guanajuato 36885, Mexico)

  • José Ramírez-Minguela

    (Department of Chemical Engineering, DCNE, University of Guanajuato, Guanajuato 36885, Mexico)

Abstract

This study presents the optimization of a multilayer wire-on-tube condenser exposed to forced convection, using the Optimized Multi-objective Particle Swarm Optimization (OMOPSO) algorithm. The maximization of the heat transfer and the minimization of the heat exchange area were defined as objective functions. In the optimization process, the variations of eight geometric parameters of the condenser were analyzed, and the Multi-objective Evolutionary Algorithm based on Decomposition (MOEAD), Non-dominated Sorting Genetic Algorithm-II (NSGAII), and OMOPSO algorithms were statistically explored. Furthermore, the condenser optimization analysis was extended to the use of alternative refrigerants to R134a such as R600a and R513A. Among the relevant results, it can be commented that the OMOPSO algorithm presented the best option from the statistical point of view compared to the other two algorithms. Thus, optimal designs for the wire-on-tube condenser were defined for three proposed study cases and for each refrigerant, providing an overview of compact designs. Likewise, the reduction of the condenser area was analyzed in more detail, presenting a maximum reduction of 15% for the use of R134a compared to for the current design. Finally, the crossflow condition was studied with respect to the current one, concluding in a greater heat transfer and a smaller heat exchange surface.

Suggested Citation

  • Yonathan Heredia-Aricapa & Juan M. Belman-Flores & Jorge A. Soria-Alcaraz & Vicente Pérez-García & Francisco Elizalde-Blancas & Jorge A. Alfaro-Ayala & José Ramírez-Minguela, 2022. "Multi-Objective Optimization of a Multilayer Wire-on-Tube Condenser: Case Study R134a, R600a, and R513A," Energies, MDPI, vol. 15(17), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6101-:d:895098
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    References listed on IDEAS

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    1. Rao, R. Venkata & Saroj, Ankit, 2017. "Constrained economic optimization of shell-and-tube heat exchangers using elitist-Jaya algorithm," Energy, Elsevier, vol. 128(C), pages 785-800.
    2. Sanaye, Sepehr & Hajabdollahi, Hassan, 2010. "Thermal-economic multi-objective optimization of plate fin heat exchanger using genetic algorithm," Applied Energy, Elsevier, vol. 87(6), pages 1893-1902, June.
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