Modeling Nuclear-Centric Scenarios for Ukraine’s Low-Carbon Energy Transition Using Diffusion and Regression Techniques

Viktor Denysov, Mykhailo Kulyk, Vitalii Babak, Artur Zaporozhets () and Ganna Kostenko
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Viktor Denysov: General Energy Institute, National Academy of Sciences of Ukraine, 03150 Kyiv, Ukraine
Mykhailo Kulyk: General Energy Institute, National Academy of Sciences of Ukraine, 03150 Kyiv, Ukraine
Vitalii Babak: General Energy Institute, National Academy of Sciences of Ukraine, 03150 Kyiv, Ukraine
Artur Zaporozhets: General Energy Institute, National Academy of Sciences of Ukraine, 03150 Kyiv, Ukraine
Ganna Kostenko: General Energy Institute, National Academy of Sciences of Ukraine, 03150 Kyiv, Ukraine

Energies, 2024, vol. 17, issue 20, 1-18

Abstract: This study presents a mathematical model for forecasting the development of Ukraine’s Integrated Power System (IPS) until 2040, with a specific focus on the expansion of nuclear energy as a cornerstone of the nation’s low-carbon transition. The model is an extension of Frank Bass’s mixed influence diffusion model, incorporating both economic and technological factors. These factors are treated as stochastic variables essential for accurately predicting the evolution of an integrated energy system, particularly in the context of rapid renewable energy sources (RES) growth. The model employs regression techniques using generalized logistic curves, improving forecasting efficiency by aligning modeling parameters with experimental data. The study’s results indicate the potential for optimizing IPS components, including nuclear and thermal power generation, through the model’s application. The model is distinguished by its inclusion of economic and technological impacts, such as state matrices, control actions, and external influence matrices, which enhance the accuracy of simulations and predictions. The validation of the model, based on scenarios of electricity consumption and generation, shows significant alignment with observed trends, confirming the model’s reliability. The findings suggest that this model is an effective tool for developing and refining energy system scenarios, with nuclear energy playing a pivotal role in Ukraine’s sustainable energy future.

Keywords: low-carbon transition; energy system modeling; technological diffusion; economic impact; nuclear energy; Integrated Power System (IPS); scenario analysis; regression models; sustainable energy development (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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