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Utilisation d'approches de modélisation de simulation mathématique et de "boîte noire" pour la conception et la prévision de la consommation d'énergie des systèmes frigorifiques des supermarchés et des systèmes de régulation de l'environnement.

Mathematical simulation and 'black box' modelling approaches for the design and energy prediction of supermarket refrigeration and environmental control systems.

Auteurs : TASSOU S. A., GE Y. T., DATTA D., et al.

Résumé

The paper describes modelling approaches employed in the simulation of the performance of supermarket refrigeration systems and in the investigation of their impact on the indoor environment and energy consumption. These are: 1) A mathematical model based on the TRNSYS simulation environment. The model can simulate integral, distributed and remote multi-compressor (multiplex systems) and secondary systems driven by either vapour compression or absorption central plant. The modelling methodology employed enables the simulation of a wide range of systems and control strategies and the interactions between the refrigeration systems and HVAC plant. 2) Neural network models for energy prediction and system diagnostics. These models enable the on-line prediction of a dependent variable, for example total store energy consumption or refrigeration system energy consumption based on the values of independent variables such as external weather conditions, internal conditions and time.

Détails

  • Titre original : Mathematical simulation and 'black box' modelling approaches for the design and energy prediction of supermarket refrigeration and environmental control systems.
  • Identifiant de la fiche : 2005-0892
  • Langues : Anglais
  • Sujet : Environnement, Généralités
  • Source : Advanced supermarket refrigeration/heat recovery systems. Workshop proceedings [CD-ROM].
  • Date d'édition : 02/10/2000

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