A framework for understanding and generating integrated solutions for residential peak energy demand

Buys, Laurie, Vine, Desley, Ledwich, Gerard, Bell, John, Mengersen, Kerrie, Morris, Peter, & Lewis, Jim (2015) A framework for understanding and generating integrated solutions for residential peak energy demand. PLOS ONE, 10(3), e0121195.

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Supplying peak energy demand in a cost effective, reliable manner is a critical focus for utilities internationally. Successfully addressing peak energy concerns requires understanding of all the factors that affect electricity demand especially at peak times. This paper is based on past attempts of proposing models designed to aid our understanding of the influences on residential peak energy demand in a systematic and comprehensive way. Our model has been developed through a group model building process as a systems framework of the problem situation to model the complexity within and between systems and indicate how changes in one element might flow on to others. It is comprised of themes (social, technical and change management options) networked together in a way that captures their influence and association with each other and also their influence, association and impact on appliance usage and residential peak energy demand. The real value of the model is in creating awareness, understanding and insight into the complexity of residential peak energy demand and in working with this complexity to identify and integrate the social, technical and change management option themes and their impact on appliance usage and residential energy demand at peak times.

Impact and interest:

2 citations in Scopus
1 citations in Web of Science®
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ID Code: 83114
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: electricity, behaviour, conservation of energy, complex systems, social research
DOI: 10.1371/journal.pone.0121195
ISSN: 1932-6203
Divisions: Current > Research Centres > ARC Centre of Excellence for Mathematical & Statistical Frontiers (ACEMS)
Current > QUT Faculties and Divisions > Creative Industries Faculty
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 Buys et al.
Copyright Statement: This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Deposited On: 06 Apr 2015 22:57
Last Modified: 10 Aug 2015 05:20

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