Intelligent Systems for Building Energy and Occupant Comfort Optimization: A State of the Art Review and Recommendations

Abhinandana Boodi, Karim Beddiar, Malek Benamour, Yassine Amirat and Mohamed Benbouzid
Additional contact information
Abhinandana Boodi: Laboratoire d’Innovation Numérique pour les Entreprises et les Apprentissages au service de la Compétitivité des Territoires, Centre des Études Supérieures Industrielles, 2 Avenue de Provence, 29200 Brest, France
Karim Beddiar: Laboratoire d’Innovation Numérique pour les Entreprises et les Apprentissages au service de la Compétitivité des Territoires, Centre des Études Supérieures Industrielles, 2 Avenue de Provence, 29200 Brest, France
Malek Benamour: Laboratoire d’Innovation Numérique pour les Entreprises et les Apprentissages au service de la Compétitivité des Territoires, Centre des Études Supérieures Industrielles, 2 Avenue de Provence, 29200 Brest, France
Yassine Amirat: Institut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), ISEN Yncréa Ouest, 29200 Brest, France
Mohamed Benbouzid: Institut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), University of Brest, 29238 Brest, France

Energies, 2018, vol. 11, issue 10, 1-26

Abstract: Today, buildings consume more than 40% of primary energy in and produce more than 36% of CO 2 . So, an intelligent controller applied to the buildings for energy and comfort management could achieve significant reduction in energy consumption while improving occupant’s comfort. Conventional on/off controllers were only able to automate the tasks in building and were not well suited for energy optimization tasks. Therefore, building energy management has become a focal point in recent years, promising the development of various technologies for various scenarios. This paper deals with a state of the art review on recent developments in building energy management system (BEMS) and occupants comfort, focusing on three model types: white box, black box, and gray box models. Through a comparative study, this paper presents pros and cons of each model.

Keywords: intelligent buildings; building energy management systems; comfort management; energy optimisation; white box models; black box models; gray box models (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/10/2604/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/10/2604/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:10:p:2604-:d:172901

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().