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Évaluation des algorithmes de régulation optimale d’une centrale de refroidissement dans une plate-forme MBD couplée avec un système HIL (Hardware In the Loop).

Evaluation of optimal chiller plant control algorithms in model-based design platform with hardware-in-the-loop.

Numéro : pap. 3690

Auteurs : LI P., YUAN S., KANG K., et al.

Résumé

This paper presents a framework and results of using model-based design (MBD) methodology to evaluate the benefit and trade-offs of different chiller plant control algorithms for medium-sized commercial buildings including an optimization-based algorithm that can be deployed rapidly with little installation and commission effort. A highfidelity dynamic simulation model for selected building types and climate zones were developed with Modelica and implemented in the hardware-in-the-loop (HiL) platform for controller hardware verification purpose. Baseline and optimization-based control algorithms were deployed in a building automation system (BAS)’s controller hardware with their performance monitored through web-based interface in real-time. Through extensive model-in-the-loop (MiL) analysis with 128 case studies that cover significant amount of chiller plant load scenarios, an average energy saving of 15% was achieved for the medium office building type and 10% for the large hotel building type in selected climate zones. A simple payback analysis was conducted and the commercialization requirement of less than 3 year payback period was met.

Documents disponibles

Format PDF

Pages : 12 p.

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 : Evaluation of optimal chiller plant control algorithms in model-based design platform with hardware-in-the-loop.
  • Identifiant de la fiche : 30019215
  • Langues : Anglais
  • Source : 2016 Purdue Conferences. 4th International High Performance Buildings Conference at Purdue.
  • Date d'édition : 11/07/2016

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