Investment Performance Predictions in the Digitization of Nuclear Energy

V. V. Kharitonov (), D. Yu. Semenova and E. V. Akinfeeva
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V. V. Kharitonov: National Research Nuclear University MEPhI
D. Yu. Semenova: National Research Nuclear University MEPhI
E. V. Akinfeeva: Central Economics and Mathematics Institute, Russian Academy of Sciences

Studies on Russian Economic Development, 2021, vol. 32, issue 6, 662-667

Abstract: Abstract— The article proposes an analytical method for predicting the efficiency of investments in the digitalization of the design, construction and operation of nuclear power plants (NPPs) at the microeconomic level, the costs of which ultimately affect the economic indicators of nuclear power plants that determine the competitiveness of nuclear energy in the energy technology market. As a criterion for assessing the effectiveness of investments in the digitalization of nuclear energy, it is proposed to consider the reduction in the cost and timing of the construction of nuclear power plants, which have the greatest impact on the competitiveness of nuclear power plants. The results of calculating the present value of NPP electricity, the investment payback period and the internal rate of return, depending on the observed delays and the corresponding growth in the cost of NPP construction, demonstrate reserves for their reduction due to the digitalization of business processes in the NPP life cycle.

Keywords: nuclear power plant; investment efficiency assessment; digitalization of business processes; forecasting the effects of digitalization; cost and timing of NPP construction (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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DOI: 10.1134/S107570072106006X

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