Bale, CSE, Gale, WF orcid.org/0000-0002-9627-7287, McCullen, NJ et al. (2 more authors) (2013) Harnessing social networks for promoting adoption of energy technologies in the domestic sector. Energy Policy, 63. 833 - 844 (12). ISSN 0301-4215
Abstract
This paper presents results from modelling work investigating the effects of social networks on the adoption of energy technologies in the domestic sector. This work concerns ideas on social network interventions which have been successfully applied in other domains but which have seldom been applied to energy policy questions. We employ a dynamical multi-parameter network model where households are represented as nodes on a network for which the uptake of technologies is influenced by both personal benefit and social influences. This is applied to demonstrate the usefulness of this type of model in assessing the likely success of different roll-out strategies that a local authority could pursue in promoting the uptake of domestic energy technologies. Local authorities can play a key role in the retrofit of energy-efficiency and low-carbon energy-generation technologies in order to realise carbon reductions and alleviate fuel poverty. Scenarios are modelled for different local authority interventions that target network interactions and uptake threshold effects, and the results provide insights for policy. The potential for the use of this type of modelling in understanding the adoption of energy innovations in the domestic sector and designing local-level interventions is demonstrated.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2013, Elsevier Ltd. This is an author produced version of a paper published in Energy Policy. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Modelling; Local authorities; Social networks; Residential; Energy efficiency |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) > Energy Research Institute (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Jan 2014 14:07 |
Last Modified: | 26 Apr 2019 10:20 |
Published Version: | http://dx.doi.org/10.1016/j.enpol.2013.09.033 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.enpol.2013.09.033 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:77319 |