Partager

Document IIF

Modélisation fondée sur les données d’un système frigorifique au R744 avec configuration en compression parallèle.

Data-driven modelling of a R744 refrigeration system with parallel compression configuration.

Numéro : pap. n. 946

Auteurs : ANDREASEN G., STOUSTRUP J., PARDIÑAS A. A., et al.

Résumé

The type and characteristics of the employed components, subsystems and refrigerant in a commercial refrigeration system varies significantly depending on required functionalities (e.g. MT (medium temperature), LT (low temperature), AC (air conditioning)) and external factors (e.g. ambient temperature). Thus, modeling for control-oriented objectives becomes a challenging task. As these systems provide a large amount of data, modelling for control-oriented objectives based on a data-driven method become an appealing option. This work focuses on obtaining a (controloriented) data-driven MIMO (multiple input multiple output) model of a CO2 booster refrigeration system, supported by parallel compression and ejectors, producing refrigeration for MT, LT, AC. Subspace identification is used for obtaining the data-driven MIMO model. The data-driven modelling approach is validated with data from a CO2 system where negligible deviations are observed even with change in the main disturbances.

Documents disponibles

Format PDF

Pages : 9

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 : Data-driven modelling of a R744 refrigeration system with parallel compression configuration.
  • Identifiant de la fiche : 30026500
  • 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.2019.0946

Liens


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

Indexation