IDEAS home Printed from https://ideas.repec.org/a/ids/ijetpo/v2y2004i1-2p3-14.html
   My bibliography  Save this article

The development of the experience curve concept and its application in energy policy assessment

Author

Listed:
  • Lena Neij

Abstract

This paper presents some of the results of the project, EXTOOL, Experience Curves: A Tool for Energy Policy Programmes Assessment, funded by the European Commission. The objective of the project was to analyse the experience curve as a tool for the assessment of energy policy measures. This is of special interest, since the use of experience curves for the assessment of energy policy measures requires development of the established experience curve methodology, which in turn raises several questions that have been addressed and analysed in this project. The analysis is based on case studies of wind power, an area in which there is considerable experience in technology development, deployment and policy measures. The results show that experience curves can be used to assess energy policy programmes; however, several limitations have been identified. Due to this, the author recommends complementary methods for the assessment of energy programmes.

Suggested Citation

  • Lena Neij, 2004. "The development of the experience curve concept and its application in energy policy assessment," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 2(1/2), pages 3-14.
    • Handle: RePEc:ids:ijetpo:v:2:y:2004:i:1/2:p:3-14
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=4584
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Neij, Lena, 2008. "Cost development of future technologies for power generation--A study based on experience curves and complementary bottom-up assessments," Energy Policy, Elsevier, vol. 36(6), pages 2200-2211, June.
    2. Wu, X.D. & Yang, Q. & Chen, G.Q. & Hayat, T. & Alsaedi, A., 2016. "Progress and prospect of CCS in China: Using learning curve to assess the cost-viability of a 2×600MW retrofitted oxyfuel power plant as a case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1274-1285.
    3. Strupeit, Lars & Neij, Lena, 2017. "Cost dynamics in the deployment of photovoltaics: Insights from the German market for building-sited systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 948-960.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijetpo:v:2:y:2004:i:1/2:p:3-14. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=12 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.