IoT Based Architecture for Model Predictive ...
Type de document :
Compte-rendu et recension critique d'ouvrage
DOI :
Titre :
IoT Based Architecture for Model Predictive Control of HVAC Systems in Smart Buildings
Auteur(s) :
Carli, Raffaele [Auteur]
Cavone, Graziana [Auteur]
Othman, Sarah [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Dotoli, Mariagrazia [Auteur]
Cavone, Graziana [Auteur]
Othman, Sarah [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Dotoli, Mariagrazia [Auteur]
Titre de la revue :
Sensors
Éditeur :
MDPI
Date de publication :
2020-01-31
ISSN :
1424-8220
Mot(s)-clé(s) en anglais :
Heating Ventilation and Air Conditioning system
Model Predictive Control
Internet of Things
Smart Buildings
Predicted Mean Vote
Heating Ventilation and Air Conditioning System
smart buildings
Model Predictive Control
Internet of Things
Smart Buildings
Predicted Mean Vote
Heating Ventilation and Air Conditioning System
smart buildings
Discipline(s) HAL :
Informatique [cs]/Modélisation et simulation
Résumé en anglais : [en]
The efficient management of Heating Ventilation and Air Conditioning (HVAC) systems in smart buildings is one of the main applications of the Internet of Things (IoT) paradigm. In this paper we propose an IoT based ...
Lire la suite >The efficient management of Heating Ventilation and Air Conditioning (HVAC) systems in smart buildings is one of the main applications of the Internet of Things (IoT) paradigm. In this paper we propose an IoT based architecture for the implementation of Model Predictive Control (MPC) of HVAC systems in real environments. The considered MPC algorithm optimizes on line, in a closed-loop control fashion, both the indoorthermal comfort and the related energy consumption for a single zone environment. Thanks to the proposed IoT based architecture, the sensing, control, andactuating subsystems are all connected to the Internet, and a remote interface with the HVAC control system is guaranteed to end-users. In particular, sensors and actuators communicate with a remote database server and a control unit, which provides the control actions to be actuated in the HVAC system; users can set remotely the control mode and related set-points of the system; while comfort and environmental indices are transferred via the Internet and displayed on the end-users’ interface. The proposed IoT based control architecture is implemented and tested in a campus building at the Polytechnic of Bari (Italy) in a proof of concept perspective. The effectiveness of the proposed control algorithm is assessed in the real environment evaluating both the thermal comfort results and the energy savings with respect to a classical thermostat regulation approach.Lire moins >
Lire la suite >The efficient management of Heating Ventilation and Air Conditioning (HVAC) systems in smart buildings is one of the main applications of the Internet of Things (IoT) paradigm. In this paper we propose an IoT based architecture for the implementation of Model Predictive Control (MPC) of HVAC systems in real environments. The considered MPC algorithm optimizes on line, in a closed-loop control fashion, both the indoorthermal comfort and the related energy consumption for a single zone environment. Thanks to the proposed IoT based architecture, the sensing, control, andactuating subsystems are all connected to the Internet, and a remote interface with the HVAC control system is guaranteed to end-users. In particular, sensors and actuators communicate with a remote database server and a control unit, which provides the control actions to be actuated in the HVAC system; users can set remotely the control mode and related set-points of the system; while comfort and environmental indices are transferred via the Internet and displayed on the end-users’ interface. The proposed IoT based control architecture is implemented and tested in a campus building at the Polytechnic of Bari (Italy) in a proof of concept perspective. The effectiveness of the proposed control algorithm is assessed in the real environment evaluating both the thermal comfort results and the energy savings with respect to a classical thermostat regulation approach.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
Source :
Fichiers
- https://hal.archives-ouvertes.fr/hal-02550608v2/document
- Accès libre
- Accéder au document
- https://hal.archives-ouvertes.fr/hal-02550608v2/document
- Accès libre
- Accéder au document
- https://hal.archives-ouvertes.fr/hal-02550608v2/document
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- sensors2000781.pdf
- Accès libre
- Accéder au document
- Accès libre
- Accéder au document