Journal article
Smart metering for residential energy efficiency: The use of community based social marketing for behavioural change and smart grid introduction
Renewable Energy, Vol.67, pp.119-127
2014
Abstract
Community-based social marketing (CBSM) has shown to be very effective at inducing behavioural change due to its pragmatic approach. It has been found that nonintegrated intensive approaches towards changing individual's behaviour, such as education and economic self-interest are not successful. This paper will explain how a large urban electricity meter replacement program can achieve a reduction in peak demand and overall energy consumption through the use of advanced metering infrastructure (AMI or 'smart meters') coupled with CBSM, which in turn enables the progression towards a 'smart grid'. In order to measure success the following targets were set: • Peak demand reduction (peak lopping) of 20% from the households participating in the Behaviour Change Programs (BCPs). • Peak demand shifting (load shifting) to reduce energy consumption during 'super peak' by 10% in BCP participating households. • Average total energy use reduction of 10% in BCP participating households. The energy efficiency actions discussed with householders during eco-coaching, and other feedback communications, are identified by utilising the information regarding barriers and benefits generated from the research phase prior to coaching. These actions can include referral to other initiatives such as the provision of reduced cost solar PV power systems, direct load control devices for domestic air-conditioners, the time-of-use pricing product, the provision of in-home-displays (IHD) and other devices necessary for development of a 'smart grid'.
Details
- Title
- Smart metering for residential energy efficiency: The use of community based social marketing for behavioural change and smart grid introduction
- Authors/Creators
- M. Anda (Author/Creator)J. Temmen (Author/Creator)
- Publication Details
- Renewable Energy, Vol.67, pp.119-127
- Publisher
- Elsevier BV
- Identifiers
- 991005540993407891
- Copyright
- © 2013 Elsevier Ltd.
- Murdoch Affiliation
- School of Veterinary and Life Sciences
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 6 Social Sciences
- 6.73 Social Psychology
- 6.73.1507 Pro-environmental Behavior
- Web Of Science research areas
- Energy & Fuels
- Green & Sustainable Science & Technology
- ESI research areas
- Engineering