Abstract

This paper investigates the physical environmental (indoor and outdoor temperature and relative humidity, wind speed, solar radiation and rainfall) and contextual drivers (time of day) affecting occupants’ manual space heating override behaviour during the heating season based on measurements collected in ten UK dwellings. Logistic regression modelling is used to understand the probability of occupants manually overriding their scheduled heating periods. To the authors’ knowledge, these are the first stochastic models of manual heating override behaviour developed for residential buildings. The work reported in this paper suggests that occupants’ manual overrides are influenced by indoor and outdoor temperature, indoor relative humidity, and solar radiation. In addition, the effects of the physical environmental variables varied in relation to the time of day. At night, none of the physical environmental variables influenced manual overrides. In the morning, afternoon and evening, manual overrides were governed by a mix of indoor air temperature, indoor relative humidity and solar radiation. The models presented can be used in building performance simulation applications to improve the inputs for space heating behaviour in residential buildings and thus the predictions of energy use and indoor environmental conditions.

DOI

10.1016/j.enbuild.2018.10.043

Publication Date

2019-01-15

Publication Title

Energy and Buildings

Volume

183

Publisher

Elsevier

ISSN

0378-7788

Embargo Period

2024-11-19

Keywords

Domestic space heating, Occupant behaviour, Manual heating overrides, Scheduled heating periods, Stochastic modelling, Residential buildings

First Page

129

Last Page

138

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