THE APPLICATION OF AI-BASED DIGITAL TWINS AS ONE OF THE FACTORS IN ENHANCING HUMAN CAPITAL POTENTIAL IN NUCLEAR ENERGY

Abstract

The purpose of the research is to analyze the enhancement of staff potential in the nuclear energy industry through the integration of AI-based digital twins and a strategy balancing innovative technologies with human-centered training programs for retraining nuclear power plant personnel. The proposed interdisciplinary approach, employing methods such as comparative historical analysis, dialectics, generalization, systematization, and scientific abstraction, enables the identification of patterns in technology implementation and development, as well as the assessment of its impact on personnel policy. The research is based on the experience of pilot projects at the Novovoronezh Nuclear Power Plant named after V.A. Sidorenko (a branch of AO "Concern Rosenergoatom", part of the Electric Power Division of State Corporation "Rosatom"), where implemented are a digital 3D model of Power Unit No. 6, predictive analytics systems for VVER-1200 reactor units, and operator support information systems. The study results confirm the economic efficiency of implementing the technology (reduction in operating costs), increased labor productivity through training programs, and the adaptability and resilience of the industry in the context of digitalization. The research materials will be useful for top managers and HR departments in addressing the skills gap.