Technology-behavioural modelling of energy innovation diffusion in the UK
AbstractThe diffusion of energy saving technologies is an important part of UK energy and climate policy. Innovation diffusion can be influenced by both technological and behavioural factors. A computational model is presented to capture how changing technology attributes can influence consumer adoption. The UK vehicle market is case analyzed showing how efficiency improvements in advanced internal combustion engine (ICE) vehicles might affect future diffusion of alternative fuelled vehicles (AFVs) which is not often considered in the debate on AFV competitiveness. Scenarios are developed for mass and early market adopters to account for consumer heterogeneity. Simulation results indicate that if AFV performance can keep pace or exceed ICEs this will positively affect AFV diffusion despite increasing competition from ICEs on attributes that currently favour AFVs, such as fuel economy and carbon emissions. However, much of the gains are made at the expense of diesels rather than petrols that also benefit from improved performance. Additional policy measures will likely be necessary to induce rapid AFV diffusion.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Applied Energy.
Volume (Year): 95 (2012)
Issue (Month): C ()
Contact details of provider:
Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.