Formulation et application d'un schéma de commande prédictive économique pour les thermostats connectés.
Formulation and application of an economic model predictive control scheme for connected thermostats.
Numéro : pap. 3194
Auteurs : ELLIS M. J., ALANQAR A.
Résumé
An economic model predictive control (MPC) scheme, which is an MPC scheme equipped with an economicallyoriented objective function, is developed for a connected thermostat application. The economic MPC selects a setpoint from an occupant defined comfort range to minimize the HVAC power cost. Specifically, under a time-varying electric rate structure (e.g., time-of-use or real-time pricing), the economic MPC leverages the building mass as thermal energy storage to shift HVAC power consumption from high to low cost periods. The resulting economic MPC system includes a parameterized building thermal zone model, a parameter estimation procedure to identify the model parameters for a specific zone application, a state/disturbance estimator, a heat load disturbance forecaster, and an underlying optimal control problem formulation. Each of these features are tailored for broad application as a supervisory controller manipulating the zone temperature setpoint for a zone controlled by a thermostat. Given a lack of measurements available to estimate/measure HVAC power or load in a typical thermostat, the HVAC load is approximated via a filtered version of the thermostat equipment stage commands, which provides a normalized time-averaged approximation of the HVAC load. Simulation results are presented to demonstrate the effectiveness of the strategy.
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Détails
- Titre original : Formulation and application of an economic model predictive control scheme for connected thermostats.
- Identifiant de la fiche : 30024744
- Langues : Anglais
- Sujet : Environnement
- Source : 2018 Purdue Conferences. 5th International High Performance Buildings Conference at Purdue.
- Date d'édition : 09/07/2018
Liens
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Indexation
- Thèmes : Bâtiments écologiques
- Mots-clés : Thermostat; Immeuble; Température; Régulation; Simulation; Prévision; Coût; Conditionnement d'air; Chauffage
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