Shen_Intelligent-buildings_Repository.pdf (358.44 kB)
Download file

Impact of occupant behaviour on the energy-saving potential of retrofit measures for a public building in the UK

Download (358.44 kB)
journal contribution
posted on 08.03.2016, 14:19 by Shen Wei, Tarek HassanTarek Hassan, Steven FirthSteven Firth, Farid Fouchal
© 2016 Taylor & Francis In building refurbishment projects, dynamic building simulation is popularly used to predict the energy-saving potential of various refurbishment scenarios. However, in this process, it is not clear whether occupant behaviour should be carefully modelled due to the lack of evidence about its impact on the prediction results. To answer this question, this study selected a UK public building and used dynamic building simulation to predict the energy-saving potential of common refurbishment measures, under various occupant behavioural conditions. The results revealed that for the case study building occupants’ heating behaviour has a significant impact on the predicted energy-saving potential of all evaluated refurbishment measures: when changing from passive heating users to active heating users, the energy-saving potential was nearly doubled. Although occupants’ window opening behaviour was not shown to be as important as heating behaviour for the refurbishment of the case study building, it has a specific influence on the refurbishment measure of increasing window layers: when windows are opened longer, the effectiveness of increasing window layers on promoting the building energy efficiency is decreased. According to the findings from this study, occupant behaviour should be considered as an important aspect in building refurbishment projects.

History

School

  • Architecture, Building and Civil Engineering

Published in

Intelligent Buildings International

Pages

1 - 11

Citation

WEI, S. ...et al., 2016. Impact of occupant behaviour on the energy-saving potential of retrofit measures for a public building in the UK. Intelligent Buildings International, 9 (2), pp. 97-106.

Publisher

© Taylor & Francis

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2016

Notes

This is an Accepted Manuscript of an article published by Taylor & Francis in Intelligent Buildings International on 06 Feb 2016, available online: http://dx.doi.org/10.1080/17508975.2016.1139538

ISSN

1750-8975

eISSN

1756-6932

Language

en