IDEAS home Printed from https://ideas.repec.org/a/spr/sorede/v30y2019i2d10.1134_s1075700719020084.html
   My bibliography  Save this article

Forecasting the Development Process of Wind Energy in the North Sea Basin Based on Learning Curves

Author

Listed:
  • V. A. Kryukov

    (Institute of Economics and Industrial Engineering, Siberian Branch, Russian Academy of Sciences)

  • A. A. Gorlov

    (National Research University Higher School of Economics)

Abstract

The article presents the results of predictive studies of the development of new energy sources using the example of wind energy technologies in the countries of the North Sea Basin. Predictive estimates (based on the mathematical technique of learning curves), the dynamics of installed power and the generation of electric power by floating wind power stations, as well as the processes of replacing traditional energy with developing energy technologies in various countries, including Russia, are considered. The economic characteristics of energy technologies at an early stage of development are given.

Suggested Citation

  • V. A. Kryukov & A. A. Gorlov, 2019. "Forecasting the Development Process of Wind Energy in the North Sea Basin Based on Learning Curves," Studies on Russian Economic Development, Springer, vol. 30(2), pages 177-184, March.
    • Handle: RePEc:spr:sorede:v:30:y:2019:i:2:d:10.1134_s1075700719020084
    DOI: 10.1134/S1075700719020084
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S1075700719020084
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1134/S1075700719020084?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Kryukov, Valeriy & Moe, Arild, 2018. "Does Russian unconventional oil have a future?," Energy Policy, Elsevier, vol. 119(C), pages 41-50.
    2. Tooraj Jamasb, 2007. "Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies," The Energy Journal, , vol. 28(3), pages 51-72, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. V. A. Kryukov & D. V. Milyaev & D. I. Dushenin & A. D. Savel’eva & M. Yu. Skuzovatov, 2022. "Knowledge Generation in Raw Material Industries," Studies on Russian Economic Development, Springer, vol. 33(3), pages 257-266, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bosetti, Valentina & Carraro, Carlo & Duval, Romain & Tavoni, Massimo, 2011. "What should we expect from innovation? A model-based assessment of the environmental and mitigation cost implications of climate-related R&D," Energy Economics, Elsevier, vol. 33(6), pages 1313-1320.
    2. Levi, Peter G. & Pollitt, Michael G., 2015. "Cost trajectories of low carbon electricity generation technologies in the UK: A study of cost uncertainty," Energy Policy, Elsevier, vol. 87(C), pages 48-59.
    3. Lafond, François & Bailey, Aimee Gotway & Bakker, Jan David & Rebois, Dylan & Zadourian, Rubina & McSharry, Patrick & Farmer, J. Doyne, 2018. "How well do experience curves predict technological progress? A method for making distributional forecasts," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 104-117.
    4. Lovering, Jessica R. & Yip, Arthur & Nordhaus, Ted, 2016. "Historical construction costs of global nuclear power reactors," Energy Policy, Elsevier, vol. 91(C), pages 371-382.
    5. Aalbers, Rob & Shestalova, Victoria & Kocsis, Viktória, 2013. "Innovation policy for directing technical change in the power sector," Energy Policy, Elsevier, vol. 63(C), pages 1240-1250.
    6. Moon, Hee Seung & Song, Yong Hyun & Lee, Ji Woo & Hong, Sanghyun & Kim, Eunsung & Kim, Seung Wan, 2024. "Implementation cost of net zero electricity system: Analysis based on Korean national target," Energy Policy, Elsevier, vol. 188(C).
    7. Laura Diaz Anadon & Erin Baker & Valentina Bosetti & Lara Aleluia Reis, 2016. "Expert views - and disagreements - about the potential of energy technology R&D," Climatic Change, Springer, vol. 136(3), pages 677-691, June.
    8. Lohwasser, Richard & Madlener, Reinhard, 2013. "Relating R&D and investment policies to CCS market diffusion through two-factor learning," Energy Policy, Elsevier, vol. 52(C), pages 439-452.
    9. Jindal, Abhinav & Nilakantan, Rahul, 2021. "Falling efficiency levels of Indian coal-fired power plants: A slacks-based analysis," Energy Economics, Elsevier, vol. 93(C).
    10. Arthur van Benthem & Kenneth Gillingham & James Sweeney, 2008. "Learning-by-Doing and the Optimal Solar Policy in California," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 131-152.
    11. He, Zhengxia & Cao, Changshuai & Kuai, Leyi & Zhou, Yanqing & Wang, Jianming, 2022. "Impact of policies on wind power innovation at different income levels: Regional differences in China based on dynamic panel estimation," Technology in Society, Elsevier, vol. 71(C).
    12. Stefan Seifert, 2015. "Measuring Productivity When Technologies Are Heterogeneous: A Semi-Parametric Approach for Electricity Generation," Discussion Papers of DIW Berlin 1526, DIW Berlin, German Institute for Economic Research.
    13. Svetlana Valerievna Ratner & Vladislav Valerievich Klochkov, 2017. "Scenario Forecast for Wind Turbine Manufacturing in Russia," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 144-151.
    14. Shapovalova, Daria & Galimullin, Eduard & Grushevenko, Ekaterina, 2020. "Russian Arctic offshore petroleum governance: The effects of western sanctions and outlook for northern development," Energy Policy, Elsevier, vol. 146(C).
    15. Ding, H. & Zhou, D.Q. & Liu, G.Q. & Zhou, P., 2020. "Cost reduction or electricity penetration: Government R&D-induced PV development and future policy schemes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    16. Narbel, Patrick André & Hansen, Jan Petter, 2014. "Estimating the cost of future global energy supply," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 91-97.
    17. Farmer, J. Doyne & Lafond, François, 2016. "How predictable is technological progress?," Research Policy, Elsevier, vol. 45(3), pages 647-665.
    18. Hernandez-Negron, Christian G. & Baker, Erin & Goldstein, Anna P., 2023. "A hypothesis for experience curves of related technologies with an application to wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    19. Portugal-Pereira, J. & Ferreira, P. & Cunha, J. & Szklo, A. & Schaeffer, R. & Araújo, M., 2018. "Better late than never, but never late is better: Risk assessment of nuclear power construction projects," Energy Policy, Elsevier, vol. 120(C), pages 158-166.
    20. 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).

    More about this item

    Statistics

    Access and download statistics

    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:spr:sorede:v:30:y:2019:i:2:d:10.1134_s1075700719020084. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.