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

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  • 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
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    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.
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    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.

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