Quantitative analysis of technological development within renewable energy technologies
by Stine Grenaa Jensen
International Journal of Energy Technology and Policy (IJETP), Vol. 2, No. 4, 2004

Abstract: The technological development of renewable energy technologies is affected by several factors such as policy initiatives, market developments, and learning within the industry. A simplified expression describing this development, i.e. cost reduction as result of accumulated experience, is increasingly being incorporated in models to assess long-term development of renewable energy technologies. Most of these applications use learning rates to predict future costs and thereby the potential of renewable energy technologies. This article examines different models on the basis of data from photovoltaic and wind power, such as experience curves and multiple regression models with respect to applicability in historical descriptions, predictions, and policy recommendations.

Online publication date: Mon, 29-Nov-2004

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Energy Technology and Policy (IJETP):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com