Wang, Y; Tahmasebi, F; Cooper, E; Stamp, S; Burman, E; Mumovic, D; (2020) Capturing the diversity of household window operation behaviour: Lessons from a monitoring campaign in London. In: Proceedings of the 5th IBPSA-England Conference on Building Simulation and Optimization. IBPSA: Loughborough, UK.

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Abstract

The present study benefits from a field monitoring campaign across 18 flats in London to analyse the operation of windows by occupants and pinpoint the driving factors. The dataset covers an extensive set of environmental parameters including indoor and outdoor air temperature, relative humidity, CO2, PM2.5 and PM10 collected over non-heating and heating seasons. Focusing on three questions, this study a) captures the diversity of window operation across the flats using three metrics, b) identifies and ranks the driving factors behind the operation of windows, and c) discusses the diversity of these driving factors using univariate logistic regression models. Notably, the results suggest that, apart from the commonly studied factors such as air temperature and humidity, pollutant parameters can also explain the operation of windows by occupants. Furthermore, the diversity observed in the occupants’ window operation behaviour and its driving factors discourages the reliance of future modelling efforts on aggregated datasets that can suppress the inter-occupant diversity. More efforts are needed to further explore the potential benefits of the inclusion of the captured behavioural diversity information in occupant behaviour models for building performance simulations.

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