Building Occupancy Behavior and Prediction Methods: A Critical Review and Challenging Locks

mai 2021
Ingénierie & Outils numériques
Articles dans des revues internationales ou nationales avec comité de lecture
Auteurs : Chinmayi Kanthila (LINEACT & IRDL), Abhinandana Boodi (LINEACT), Karim Beddiar (LINEACT), Yassine Amirat (L@bISEN), Mohamed Benbouzid (UMR CNRS 6027 IRDL)
Journal : IEEE Access, 24 mai 2021

Energy use in buildings is increasing to provide optimal comfort for the occupants. People spend 90% of their lifetime in buildings. Therefore, indoor environment quality and comfort management have a crucial role in maintaining occupants’ health and productivity. Reducing energy consumption for optimal comfort management is important to minimize CO 2 emission and global warming by the building sector. According to the literature, it is possible to control and reduce energy consumption by monitoring occupants’ behavior and estimating the number of occupants. A critical review is carried out in this paper to analyze the existing methodologies for modeling occupant behavior and prediction with respect to comfort and energy management. A comprehensive analysis is also performed on recent developments and challenges in modeling, along with recommendations and future perspectives.