Tao Zhang
A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK
Zhang, Tao; Siebers, Peer-Olaf; Aickelin, Uwe
Abstract
This paper reviews major studies in three traditional lines of research in residential energy consumption in the UK, i.e. economic/infrastructure, behaviour, and load profiling. Based on the review the paper proposes a three-dimensional model for archetyping residential energy consumers in the UK by considering property energy efficiency levels, the greenness of household behaviour of using energy, and the duration of property daytime occupancy. With the proposed model, eight archetypes of residential energy consumers in the UK have been identified. They are: pioneer greens, follower greens, concerned greens, home stayers, unconscientious wasters, regular wasters, daytime wasters, and disengaged wasters. Using a case study, these archetypes of residential energy consumers demonstrate the robustness of the 3-D model in aiding local energy policy/intervention design in the UK.
Keywords: archetype, three-dimensional model, residential energy consumer, local energy policy/intervention
Citation
Zhang, T., Siebers, P.-O., & Aickelin, U. (2011, September). A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK. Presented at Energy and People: Futures, Complexity and Challenges, Oxford, UK
Conference Name | Energy and People: Futures, Complexity and Challenges |
---|---|
Start Date | Sep 20, 2011 |
End Date | Sep 21, 2011 |
Deposit Date | Jun 17, 2013 |
Peer Reviewed | Peer Reviewed |
Public URL | https://nottingham-repository.worktribe.com/output/1011521 |
Publisher URL | http://www.ukerc.ac.uk/support/tiki-download_file.php?fileId=1977&display |
Contract Date | Jun 17, 2013 |
Files
A_Three-Dimensional_Model_of_Residential_Energy_etc.Energy_&_People._futures,_complexity_and_challenges_conference.2011.pdf
(709 Kb)
PDF
You might also like
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search