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

Valeriy Kryukov () and A. A. Gorlov ()
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A. A. Gorlov: National Research University Higher School of Economics

Studies on Russian Economic Development, 2019, vol. 30, issue 2, 177-184

Abstract: 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.

Date: 2019
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DOI: 10.1134/S1075700719020084

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