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On the utility of occupants’ behavioural diversity information for building performance simulation: An exploratory case study

Tahmasebi, F; Mahdavi, A; (2018) On the utility of occupants’ behavioural diversity information for building performance simulation: An exploratory case study. Energy and Buildings , 176 pp. 380-389. 10.1016/j.enbuild.2018.07.042. Green open access

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Abstract

The present study aims at investigating the potential advantages of integrating inter-occupant diversity information into occupant behaviour models used in building performance simulation. To this end, the authors model the operation of windows by occupants in a monitored open-plan office at aggregate and individual levels. The models use indoor and outdoor temperature as well as the interaction of these variables to estimate the probability of opening and closing windows in the building located in Vienna, Austria. Subsequently, a number of existing and novel metrics serve to compare the predictive performance of the aggregate and individual models. In addition, a calibrated energy model of the office area incorporates the window operation models to evaluate their potential contribution to the reliability of building performance assessments. The results of this exploratory case study suggest that individual window operation models outperform the aggregate model in capturing the peak and variations of window operation across occupants. This resulted in a more reliable thermal comfort assessment in the free-running season. The individual models, however, overestimated peak heating demand, as compared with the benchmark value resulting from the actual window operations in a single year.

Type: Article
Title: On the utility of occupants’ behavioural diversity information for building performance simulation: An exploratory case study
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.enbuild.2018.07.042
Publisher version: https://doi.org/10.1016/j.enbuild.2018.07.042
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10055401
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