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

Laurie Buys; Desley Vine; Gerard Ledwich; John Bell; Kerrie Mengersen; Peter Morris; Jim Lewis

doi:10.1371/journal.pone.0121195

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

PLoS One. 2015 Mar 25;10(3):e0121195. doi: 10.1371/journal.pone.0121195. eCollection 2015.

Authors

Laurie Buys¹, Desley Vine¹, Gerard Ledwich², John Bell³, Kerrie Mengersen⁴, Peter Morris¹, Jim Lewis⁴

Affiliations

¹ School of Design, Creative Industries Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
² School of Electrical Engineer and Computer Science, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
³ School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
⁴ School of Mathematical and Statistical Sciences, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.

Abstract

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Costs and Cost Analysis
Electricity*
Models, Theoretical*

Grants and funding

This research was supported under Australian Research Council's Linkage Project funding scheme (project number LP110201139). The findings and views expressed in this article are those of the authors and are not necessarily those of the Australian Research Council. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.