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Sources of experience – theoretical considerations and empirical observations from Danish wind energy technology

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  • Per Dannemand Andersen

Abstract

This paper attempts to establish better understanding of processes within the black box of industrial learning. Through theoretical considerations and empirical observations, this paper also aims at finding the truest and fairest expression of an experience curve diagram. The paper concludes that experience curves based on the cost of produced electricity are more true and fair than those based only on cost of equipment. Furthermore, the paper argues that modern systems of innovation are too complicated to be modelled as linear systems. Policy advice based on experience curve analyses must be accompanied by a more advanced understanding of the whole innovation system and of the roles of the many actors involved.

Suggested Citation

  • Per Dannemand Andersen, 2004. "Sources of experience – theoretical considerations and empirical observations from Danish wind energy technology," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 2(1/2), pages 33-51.
    • Handle: RePEc:ids:ijetpo:v:2:y:2004:i:1/2:p:33-51
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    Citations

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    Cited by:

    1. Hendry, Chris & Harborne, Paul, 2011. "Changing the view of wind power development: More than "bricolage"," Research Policy, Elsevier, vol. 40(5), pages 778-789, June.
    2. Arne Martin Fevolden & Lars Coenen & Teis Hansen & Antje Klitkou, 2017. "The Role of Trials and Demonstration Projects in the Development of a Sustainable Bioeconomy," Sustainability, MDPI, vol. 9(3), pages 1-15, March.
    3. Nemet, Gregory F., 2006. "How well does Learning-by-doing Explain Cost Reductions in a Carbon-free Energy Technology?," Climate Change Modelling and Policy Working Papers 12051, Fondazione Eni Enrico Mattei (FEEM).
    4. Bossink, Bart, 2020. "Learning strategies in sustainable energy demonstration projects: What organizations learn from sustainable energy demonstrations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    5. Nemet, Gregory F., 2006. "Beyond the learning curve: factors influencing cost reductions in photovoltaics," Energy Policy, Elsevier, vol. 34(17), pages 3218-3232, November.
    6. Huenteler, Joern & Schmidt, Tobias S. & Ossenbrink, Jan & Hoffmann, Volker H., 2016. "Technology life-cycles in the energy sector — Technological characteristics and the role of deployment for innovation," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 102-121.
    7. Nemet, Gregory F., 2009. "Demand-pull, technology-push, and government-led incentives for non-incremental technical change," Research Policy, Elsevier, vol. 38(5), pages 700-709, June.
    8. Smit, Thijs & Junginger, Martin & Smits, Ruud, 2007. "Technological learning in offshore wind energy: Different roles of the government," Energy Policy, Elsevier, vol. 35(12), pages 6431-6444, December.
    9. Junginger, Martin & de Visser, Erika & Hjort-Gregersen, Kurt & Koornneef, Joris & Raven, Rob & Faaij, Andre & Turkenburg, Wim, 2006. "Technological learning in bioenergy systems," Energy Policy, Elsevier, vol. 34(18), pages 4024-4041, December.
    10. Martin Junginger & Wilfried van Sark & André Faaij (ed.), 2010. "Technological Learning in the Energy Sector," Books, Edward Elgar Publishing, number 13741.

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