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Development and improvement of occupant behavior models towards realistic building performance simulation: A review


Development and improvement of occupant behavior models towards realistic building performance simulation: A review

Li, Jun, Yu, Zhun (Jerry), Haghighat, Fariborz and Zhang, Guoqiang (2019) Development and improvement of occupant behavior models towards realistic building performance simulation: A review. Sustainable Cities and Society . p. 101685. ISSN 22106707 (In Press)

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Official URL: http://dx.doi.org/10.1016/j.scs.2019.101685


With the rise of concern about newly-designed or retrofitted buildings to have robust performance under different realistic scenarios, it is of vital importance to providing reliable energy predictions for building design and planning. Occupant behavior (OB), as one source of the significant uncertainties, is generally oversimplified as static schedules or predetermined inputs, which could cause a significant gap between the simulated and measured one. To bridge such gap, growing interests have been raised to understand the role of OB on building energy performance and develop OB models which can be integrated into building simulation tools. This paper aims to provide a systematic review with the focus on three important issues: a) the impact uncertainty caused by OB in building performance simulation and their differences in various spatial scales and temporal granularities; b) main criteria for the comparison and selection of modeling methods; c) requisite considerations to improve the performance of OB models. Based on this review, a framework was proposed towards improving the predictive performance of future OB models. Existing research gaps and key challenges for OB modeling are identified and future directions in this area are highlighted.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering
Item Type:Article
Authors:Li, Jun and Yu, Zhun (Jerry) and Haghighat, Fariborz and Zhang, Guoqiang
Journal or Publication:Sustainable Cities and Society
Date:27 June 2019
  • National Natural Science Foundation of China
  • China Scholarship Council
Digital Object Identifier (DOI):10.1016/j.scs.2019.101685
Keywords:Occupant behavior; Model; Building energy demand; Simulation; Uncertainty
ID Code:985565
Deposited On:11 Jul 2019 12:53
Last Modified:11 Jul 2019 12:53


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