Partager

Document IIF

Optimisation de conception de condenseurs à charge réduite à haute performance avec des tubes aux formes nouvelles.

Design optimization of high performance, reduced charge condensers with novel tube shapes.

Numéro : pap. n. 1123

Auteurs : TANCABEL J., AUTE V., LING J., et al.

Résumé

Air-to-refrigerant heat exchangers (HXs) are vital components of HVAC&R systems. Such HXs often use extended surfaces (fins) to overcome large airside thermal resistance despite fins’ intrinsic increased pressure drop, material cost, and fouling potential. However, advancements in Computational Fluid Dynamics (CFD), Finite Element Analysis (FEA), and optimization algorithms have led to a paradigm shift to eliminate fins through primary heat transfer surface optimization. In this work, automated CFD and FEA simulations and approximation-assisted optimization are used to design novel condensers with shape-optimized tubes that are lighter, more compact, and outperform current state-of-the-art tube-fin condensers without compromising tube integrity. The optimal condensers deliver similar capacity with 20% reductions in airside pressure drop and envelope volume. The novel designs also feature more than 20% charge reduction which can enable lower-GWP A2L refrigerants.

Documents disponibles

Format PDF

Pages : 8

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 : Design optimization of high performance, reduced charge condensers with novel tube shapes.
  • Identifiant de la fiche : 30026726
  • Langues : Anglais
  • Source : Proceedings of the 25th IIR International Congress of Refrigeration: Montréal , Canada, August 24-30, 2019.
  • Date d'édition : 24/08/2019
  • DOI : http://dx.doi.org/10.18462/iir.icr.2019.1123
  • Notes :

    Keynote


Liens


Voir d'autres communications du même compte rendu (632)
Voir le compte rendu de la conférence

Indexation