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Contrôle prédictif des entrepôts frigorifiques pour améliorer la gestion de l'énergie. 2.

Predictive control of refrigerated facilities for improved energy management. 2.

Auteurs : WALL J. R., BRASLAVSKY J. H., WARD J. K.

Type d'article : Article, Étude de cas

Résumé

This article presents preliminary results from a real-world case study of predictive refrigeration control technology being developed by the CSIRO. The technology is designed to intelligently alter the operation of a refrigeration system by dynamically determining optimal operating temperature set-points and run-time schedules to reduce energy consumption and operating costs, while maintaining local constraints such as capacity control, defrost cycles, product quality and safety. Utilising “self-learning” model predictive control (MPC) techniques from control theory and computer science domains, the technology makes use of forecasting to move away from a reactionary control philosophy. By taking into account anticipated external conditions, electricity tariffs, and adaptively learning the thermal response of the system, more optimal control and pre-cooling strategies can be employed tailored to operating objectives, including minimizing operating cost and reducing energy consumption, while ensuring internal temperature conditions are satisfied.

Documents disponibles

Format PDF

Pages : 32-35

Disponible

  • Prix public

    20 €

  • Prix membre*

    15 €

* meilleur tarif applicable selon le type d'adhésion (voir le détail des avantages des adhésions individuelles et collectives)

Détails

  • Titre original : Predictive control of refrigerated facilities for improved energy management. 2.
  • Identifiant de la fiche : 30014798
  • Langues : Anglais
  • Source : EcoLibrium - vol. 14 - n. 3
  • Date d'édition : 04/2015

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