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Conference paper

Assessing the impact of behavioural predictors on small power electricity consumption in office buildings

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1Technologies for Sustainable Built Environments, University of Reading, UK

2School of Psychology & Clinical Language Sciences, University of Reading, UK

3School of Construction Management and Engineering, University of Reading, UK

4AECOM, Bristol, UK

Published
25 August 2014
Pages
1-9
Received
25 August 2014
DOI
10.65582/set.2014.099
Access
Open access, © 2014 Copyright WSSET
Download PDF9 pages · 222 KB

Abstract

The behaviour of occupants is often cited as an important factor influencing building energy performance. However, its consideration, both during design and operation, is overly simplistic, assuming a direct link between attitudes and behaviour. Models from psychology highlight a range of additional influential factors and emphasise that occupants do not always act in a rational, linear manner. This paper assesses the impact of various behavioural predictors on small power consumption in offices. Developing a better understanding of occupant decision making could help inform office energy conservation campaigns as well as models of behaviour employed during the design process. The method is based upon the Theory of Planned Behaviour (TPB) which assumes that intention is driven by three factors: attitude, subjective norms, and perceived behavioural control, but we also consider a fourth predictor: habit. A questionnaire was issued to 44 participants in a UK office. Questionnaire results for each predictor were correlated against each participant’s workstation consumption. Results indicate that occupant interactions with small power appliances are not determined by the conscious process proposed by TPB. Instead they are influenced by automatic decision making, with habit accounting for variations of 19% for workstation consumption. Implications for occupant behaviour models and employee engagement campaigns are discussed.

Keywords. occupant behaviour; small power; offices; habits

© 2014 Copyright WSSET

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