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Régulation par modèle prévisionnel, détection des défaillances et diagnostic d'un système de chauffage, de ventilation et de conditionnement d'air d'immeuble.

Model predictive control and fault detection and diagnostics of a building heating, ventilation, and air conditioning system.

Numéro : pap. 3616

Auteurs : BENGEA S., LI P., SARKAR S., et al.

Résumé

The paper presents the development and application of Model Predictive Control (MPC) and Fault Detection and Diagnostics (FDD) technologies to a large-scale HVAC system, their on-line implementation, and results from several demonstrations. The two technologies are executed at the supervisory level in a hierarchical control architecture as extensions of a baseline Building Management System (BMS). The MPC algorithm generates optimal set points, which minimize energy consumption, for the HVAC actuator loops while meeting equipment operational constraints and occupant thermal-comfort constraints. The MPC algorithm is implemented using a new computational toolbox, the Berkeley Library for Optimization Modeling (BLOM), which generates automatically an efficient optimization formulation directly from a simulation model. The FDD algorithm uses heterogeneous sensor data to detect and classify in real-time potential faults of the HVAC actuators. The performance and limitations of FDD and MPC algorithms are illustrated and discussed based on measurement data recorded from multiple tests.

Documents disponibles

Format PDF

Pages : 15 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 : Model predictive control and fault detection and diagnostics of a building heating, ventilation, and air conditioning system.
  • Identifiant de la fiche : 30013642
  • Langues : Anglais
  • Source : 2014 Purdue Conferences. 3rd International High Performance Buildings Conference at Purdue.
  • Date d'édition : 14/07/2014

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