Abstract
Heating operation can be automated using a timer/programmer and thermostat, manually controlled by occupants, or both. In ten UK dwellings, both automated and manual override heating events were identified from 30 minute time series data of living room air temperature measurements. Multivariate logistic regression was used to infer a model of occupants’ manual override heating events based on indoor and outdoor environmental factors. The results showed that occupants manually override their programmed heating events and indoor temperature is the main factor influencing the override events. This study is the first model of manual override heating events developed for UK dwellings. The results have significant implications for energy modellers as they aim to improve building energy modelling in order to reduce the energy performance gap.
Publication Date
2018-01-01
Event
Building Simulation and Optimization 2018
Publisher
University of Cambridge
Embargo Period
2024-11-19
Recommended Citation
Bruce-Konuah, N., Jones, R., Fuertes, A., & De Wilde, P. (2018) 'Occupant Heating Practices in Dwellings: A Methodology for Identifying Scheduled Heating Periods and Manual Override Events', University of Cambridge: Retrieved from https://pearl.plymouth.ac.uk/ada-research/447
