Multi-agent Simulation of Occupant Behaviour Impact on Building Energy Consumption

Ebuy, Habtamu Tkubet; El-Haouzi, Hind Bril; Pannequin, Rémi; Benelmir, Riad

doi:10.1007/978-3-030-69373-2_25

Cited by 1 publication

(2 citation statements)

References 15 publications

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“…Sonderegger [30] suggested that up to 70% of the variation in energy demand in buildings occurs due to the oversimplification of occupant behavior. Similarly, Gilani and Brien, 2019, ( [14,31,32]) indicated that the measured electrical power consumption in a case study was 30% different from what was simulated [33]. According to A.D. Galasiu et al [34], an individual's preferred work plane illuminance ranged from 230 to 1000 lux.…”

Section: Deterministic Occupant Modeling and Limitationmentioning

confidence: 98%

“…This environment simulation method provides a realistic method to model occupant behavior, which plays a major role in the building's energy performance. However, in the current multi-agent approach, where agents are representing occupants' properties, such as tracking a person's movement in a given location and counting occupants, the level of detail is negligible [32,46,49,51]. Consequently, the MAS modeling approach to modeling occupant behavior is not new, but the extent to which it covers complex occupant behavior modeling is limited [10,56].…”

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confidence: 99%

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Occupant Behavior Impact on Building Sustainability Performance: A Literature Review

Ebuy

Haouzi

Benelmir³

et al. 2023

Sustainability

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Occupant behavior controls a building’s energy system to adapt the indoor environment, significantly increasing building energy consumption. Occupant behavior, which refers to the occupancy inside a building and their interaction with building systems (windows, blinds, thermostats, lighting and appliances, etc.), has been largely overlooked in building energy performance analysis. These factors make it essential to design sustainable buildings. It is widely acknowledged in the literature that there is an alarming performance gap between the estimated and actual energy consumption in buildings. This paper proposes a systematic literature review on energy-related occupant behaviors and their implications for energy performance. It aims to better understand occupant behavior, existing behavior modeling approaches and their limitations, and key influential parameters on building energy performance. It is based on a survey of ScienceDirect, Web of science and Scopus scientific databases, using their bibliometric analysis tools together with the VOSviewer software. Finally, this study identifies the following significant research gaps for future development: limitations of the generic and robust occupant behavior model; lack of actual data for validation; lack of research on different types of buildings (institutions, university buildings); limitations of considering all factors which influence occupant behavior; missing the detailed realistic situations of occupant behavior; integrating building information modeling (BIM) into building energy modeling.

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