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Vers une mise en œuvre réelle de commande prédictive dans un immeuble de bureaux en utilisant une chaîne de compilation pour une commande et une optimisation automatisées.

Towards real MPC implementation in an office building using TACO.

Numéro : pap. 3319

Auteurs : LIU J., YANG X., MENG X., et al.

Résumé

Model predictive control (MPC) is a promising alternative to rule-based control since it is more suitable to control increasingly complex buildings and thereby realising energy savings and comfort improvement. Practical implementations are however hampered by the complexity of MPC and the expertise required for developing MPC. Therefore, a toolchain for automated control and optimization (TACO) has been developed that automatically translates an object-oriented Modelica model into an efficient MPC code. Since objectoriented models from the Modelica IDEAS library are used, the expertise requirement and development time are reduced significantly. TACO has, however, not yet been applied to a real building and its robustness in real operation still must be demonstrated. The purpose of this paper is to provide a comprehensive overview of the steps that are proposed for implementing an MPC using TACO. We therefore summarise our existing methodology and describe our future extension plans to implement an MPC in the Infrax office building in Brussels by September 2018.

Documents disponibles

Format PDF

Pages : 10

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 : Towards real MPC implementation in an office building using TACO.
  • Identifiant de la fiche : 30024757
  • Langues : Anglais
  • Sujet : Environnement
  • Source : 2018 Purdue Conferences. 5th International High Performance Buildings Conference at Purdue.
  • Date d'édition : 09/07/2018

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