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Quantitative analysis of technological development within renewable energy technologies

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  • Stine Grenaa Jensen

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.

Suggested Citation

  • Stine Grenaa Jensen, 2004. "Quantitative analysis of technological development within renewable energy technologies," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 2(4), pages 335-353.
    • Handle: RePEc:ids:ijetpo:v:2:y:2004:i:4:p:335-353
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    Cited by:

    1. Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.

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