title: A framework for understanding and generating integrated solutions for residential peak energy demand.
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.
authors: School of Design, Creative Industries Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
authors: Laurie
authors: L
authors: Buys
authors: School of Design, Creative Industries Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
authors: Desley
authors: D
authors: Vine
authors: School of Electrical Engineer and Computer Science, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
authors: Gerard
authors: G
authors: Ledwich
authors: School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
authors: John
authors: J
authors: Bell
authors: School of Mathematical and Statistical Sciences, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
authors: Kerrie
authors: K
authors: Mengersen
authors: School of Design, Creative Industries Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
authors: Peter
authors: P
authors: Morris
authors: School of Mathematical and Statistical Sciences, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.
authors: Jim
authors: J
authors: Lewis
mesh_terms: D003365:Costs and Cost Analysis; D004560:Electricity; D008962:Models, Theoretical