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Spanish photovoltaic learning curve

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  • Maria Rosario Garzón Sampedro
  • Carlos Sanchez Gonzalez

Abstract

Learning by doing, or learning through market experience, reduces costs for energy production technologies. This phenomenon is modelled by using experience curves which reflect the changes in the cost of the technology as it becomes increasingly used. This article calculates the Spanish photovoltaic (PV) learning curve over the period 2001–12 by using cost data from the PV sector itself (installers, distributors and even engineers) and determines the accuracy of the obtained progress ratio by using both the coefficient of determination R2 and also the error σPR, which is directly determined from fitting the data. The results show a curve with a strong structural change in the speed of cost reduction in October 2009.

Suggested Citation

  • Maria Rosario Garzón Sampedro & Carlos Sanchez Gonzalez, 2016. "Spanish photovoltaic learning curve," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 11(2), pages 177-183.
    • Handle: RePEc:oup:ijlctc:v:11:y:2016:i:2:p:177-183.
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctu026
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    References listed on IDEAS

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    1. Wand, Robert & Leuthold, Florian, 2011. "Feed-in tariffs for photovoltaics: Learning by doing in Germany?," Applied Energy, Elsevier, vol. 88(12), pages 4387-4399.
    2. Karsten Neuhoff, 2008. "Learning by Doing with Constrained Growth Rates:An Application to Energy Technology Policy," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 165-182.
    3. C. Harmon, 2000. "Experience Curves of Photovoltaic Technology," Working Papers ir00014, International Institute for Applied Systems Analysis.
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    Cited by:

    1. Choi, Donghyun & Kim, Yeong Jae, 2023. "Local and global experience curves for lumpy and granular energy technologies," Energy Policy, Elsevier, vol. 174(C).
    2. Reinhard Haas & Marlene Sayer & Amela Ajanovic & Hans Auer, 2023. "Technological learning: Lessons learned on energy technologies," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 12(2), March.
    3. Thomassen, Gwenny & Van Passel, Steven & Dewulf, Jo, 2020. "A review on learning effects in prospective technology assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    4. Hong, Soonpa & Yang, Taeyong & Chang, Hyun Joon & Hong, Sungjun, 2020. "The effect of switching renewable energy support systems on grid parity for photovoltaics: Analysis using a learning curve model," Energy Policy, Elsevier, vol. 138(C).

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