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Optimisation de la conception à objectifs multiples d'un cycle au CO2 pour les systèmes CVC sur le réseau ferroviaire.

Multi-objective design optimization of a rail HVAC CO2 cycle.

Auteurs : LUGER C., RIEBERER R.

Type d'article : Article, Article de la RIF

Résumé

In HVAC system design for passenger rail vehicles minimization of objectives on merchantability (initial costs), integration (equipment mass, volume), and operation (electric power demand, noise emissions) becomes increasingly important. Identification of appropriate process and component design parameters is a significant engineering challenge, particularly for emerging R744 (CO2) refrigerant cycles.

In this work the sizes of the compressor, evaporator, gas cooler, cooler fan, and internal heat exchanger, plus the high pressure level and the cooler air flow rate of an R744 cycle were subject to multi-objective genetic optimization. Computationally inexpensive artificial neural networks were used as interface between different computation tools. As a result a set of Pareto-optimal R744 cycles was obtained to support the design engineer. For minimum volume and mass (153 l, 169?kg), total electric power demand was 9.2?kW. Vice-versa, minimum power demand (6.9?kW) yielded a large (272 l), heavy (198?kg), and expensive system.

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Format PDF

Pages : 133-142

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 : Multi-objective design optimization of a rail HVAC CO2 cycle.
  • Identifiant de la fiche : 30024326
  • Langues : Anglais
  • Source : International Journal of Refrigeration - Revue Internationale du Froid - vol. 92
  • Date d'édition : 08/2018
  • DOI : http://dx.doi.org/10.1016/j.ijrefrig.2018.05.033

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