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Modélisation et optimisation multi-objectifs d’un système frigorifique à compression de vapeur au R450A.

Modeling and multi-objective optimization of an R450A vapor compression refrigeration system.

Auteurs : ZENDEHBOUDI A., MOTA BABILONI A., MAKHNATCH P., et al.

Type d'article : Article, Article de la RIF

Résumé

The main objective of this work is to comprehensively investigate R450A behavior in refrigeration systems and subsequently optimize the main operating variables for the first time to reach the maximum performance. For this purpose, a hybrid multi-objective optimization model coupling response surface method and non-dominated sorted genetic algorithm II is established. The regression analysis results reveal a good agreement of experimental data samples with the quadratic polynomial models with a coefficient of determination exceeding 0.97. The optimum results for the first scenario indicate that the reduction in the motor-compressor electrical power consumption and discharge temperature is 18.39% and 53.51%, respectively, and percentage of growth in the refrigerant mass flow rate is 215.57% when the middle evaporator temperature, middle condenser temperature, superheating degree, and subcooling degree change from -14.95?°C to 8.71°C, 31.28?°C to 24.50°C, 13.12?K to 10.49?K, and 15.65?K to 15.66?K, respectively.

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Format PDF

Pages : 141-155

Disponible

  • Prix public

    20 €

  • Prix membre*

    Gratuit

* meilleur tarif applicable selon le type d'adhésion (voir le détail des avantages des adhésions individuelles et collectives)

Détails

  • Titre original : Modeling and multi-objective optimization of an R450A vapor compression refrigeration system.
  • Identifiant de la fiche : 30025609
  • Langues : Anglais
  • Source : International Journal of Refrigeration - Revue Internationale du Froid - vol. 100
  • Date d'édition : 04/2019
  • DOI : http://dx.doi.org/10.1016/j.ijrefrig.2019.01.008

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