A predictive control approach for thermal energy management in buildings
Building equipment accounts for almost 40% of total global energy consumption. More than half of which is used by active systems, such as heating, ventilation and air conditioning (HVAC) systems. These latter are responsible for the occupants’ well-being and considered among the main consumers of el...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722013038 |
| _version_ | 1797901972014104576 |
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| author | Anass Berouine Radouane Ouladsine Mohamed Bakhouya Mohamed Essaaidi |
| author_facet | Anass Berouine Radouane Ouladsine Mohamed Bakhouya Mohamed Essaaidi |
| author_sort | Anass Berouine |
| collection | DOAJ |
| description | Building equipment accounts for almost 40% of total global energy consumption. More than half of which is used by active systems, such as heating, ventilation and air conditioning (HVAC) systems. These latter are responsible for the occupants’ well-being and considered among the main consumers of electricity in buildings. In order to improve both occupants’ comfort and energy efficiency in buildings, optimal control oriented models, such as Model Predictive Control (MPC), have proven to be promising techniques for developing intelligent control strategies for building energy management systems. This paper presents a real-time predictive control approach of an air conditioning (AC) system for thermal regulation in a single-zone building using MPC control framework. The proposed approach takes into account the physical parameters of the building, weather predictions (i.e. ambient temperature and solar radiation) and time-varying thermal comfort constraints to maintain optimal energy consumption of the AC while enhancing occupants’ comfort. For this purpose, a control-oriented thermal model for a room integrated with AC system is first developed using physics-based (white box) technique and then used to design and develop the MPC controller model. A numerical case study has been investigated and simulation results show the effectiveness of the proposed approach in reducing the energy consumption by about 68% while providing a significant indoor thermal improvement. A conventional On–Off controller was used as a baseline reference to evaluate the system performance against the proposed approach. |
| first_indexed | 2024-04-10T09:10:26Z |
| format | Article |
| id | doaj.art-e4800baadfd544d4a11591acd692a500 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T09:10:26Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-e4800baadfd544d4a11591acd692a5002023-02-21T05:12:25ZengElsevierEnergy Reports2352-48472022-11-01891279141A predictive control approach for thermal energy management in buildingsAnass Berouine0Radouane Ouladsine1Mohamed Bakhouya2Mohamed Essaaidi3International University of Rabat, College of Engineering and Architecture, LERMA Lab, Sala El Jadida 11100, Morocco; ENSIAS, Mohamed V University, Rabat 10713, Morocco; Corresponding author at: International University of Rabat, College of Engineering and Architecture, LERMA Lab, Sala El Jadida 11100, Morocco.International University of Rabat, College of Engineering and Architecture, LERMA Lab, Sala El Jadida 11100, MoroccoInternational University of Rabat, College of Engineering and Architecture, LERMA Lab, Sala El Jadida 11100, MoroccoENSIAS, Mohamed V University, Rabat 10713, MoroccoBuilding equipment accounts for almost 40% of total global energy consumption. More than half of which is used by active systems, such as heating, ventilation and air conditioning (HVAC) systems. These latter are responsible for the occupants’ well-being and considered among the main consumers of electricity in buildings. In order to improve both occupants’ comfort and energy efficiency in buildings, optimal control oriented models, such as Model Predictive Control (MPC), have proven to be promising techniques for developing intelligent control strategies for building energy management systems. This paper presents a real-time predictive control approach of an air conditioning (AC) system for thermal regulation in a single-zone building using MPC control framework. The proposed approach takes into account the physical parameters of the building, weather predictions (i.e. ambient temperature and solar radiation) and time-varying thermal comfort constraints to maintain optimal energy consumption of the AC while enhancing occupants’ comfort. For this purpose, a control-oriented thermal model for a room integrated with AC system is first developed using physics-based (white box) technique and then used to design and develop the MPC controller model. A numerical case study has been investigated and simulation results show the effectiveness of the proposed approach in reducing the energy consumption by about 68% while providing a significant indoor thermal improvement. A conventional On–Off controller was used as a baseline reference to evaluate the system performance against the proposed approach.http://www.sciencedirect.com/science/article/pii/S2352484722013038Building energy management systemBuilding thermal modelHVAC systemsOccupants’ comfortEnergy efficiencyModel predictive control |
| spellingShingle | Anass Berouine Radouane Ouladsine Mohamed Bakhouya Mohamed Essaaidi A predictive control approach for thermal energy management in buildings Energy Reports Building energy management system Building thermal model HVAC systems Occupants’ comfort Energy efficiency Model predictive control |
| title | A predictive control approach for thermal energy management in buildings |
| title_full | A predictive control approach for thermal energy management in buildings |
| title_fullStr | A predictive control approach for thermal energy management in buildings |
| title_full_unstemmed | A predictive control approach for thermal energy management in buildings |
| title_short | A predictive control approach for thermal energy management in buildings |
| title_sort | predictive control approach for thermal energy management in buildings |
| topic | Building energy management system Building thermal model HVAC systems Occupants’ comfort Energy efficiency Model predictive control |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722013038 |
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