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Document IIF

Modélisation d'un système frigorifique à adsorption à l'aide de réseaux neuronaux artificiels.

Modelling of adsorption refrigeration machine by ANN.

Numéro : pap. n. 3.1

Auteurs : LAIDI M., HANINI S., ABBAD B., et al.

Résumé

This paper proposes a new approach for modeling the solar-driven adsorption refrigerator system with Activated carbon/methanol working couple. The use of artificial neural networks (ANNs) has been proposed to predict the coefficient of performance (COP) using many inputs related to the geometry, couple adsorbent/adsorbate, meteorological parameters, etc. The statistical coefficient was near to r ˜ 1 for the COP with minimal error, these accuracies are acceptable which means, the ANN is capable to predict the COP of any prototypes before design. The present method greatly reduces the time required by design engineers to find the optimum solution and in many cases reaches a solution that could not be easily obtained from simple modeling programs. The importance of the ANN approach, that it is possible to find solutions that make solar-energy applications more viable and thus more attractive to potential users.

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Format PDF

Pages : 8 p.

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    20 €

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    Gratuit

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Détails

  • Titre original : Modelling of adsorption refrigeration machine by ANN.
  • Identifiant de la fiche : 30006147
  • Langues : Anglais
  • Source : 4th Jordanian IIR International Conference on Refrigeration and Air Conditioning. Proceedings: Amman, Jordan, September 10-12, 2012.
  • Date d'édition : 10/09/2012

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