Predictive and Adaptive Control Strategy for Optimizing Energy Management in Nuclear Renewable-Hybrid Energy Systems Through Load Following

Abstract

This study presents a comprehensive approach to optimize energy management in Nuclear Renewable-Hybrid Energy Systems by focusing on Load Following procedures in various nuclear reactor technologies. The research comprises three main stages: initial development of an Adaptive Nuclear Reactor Control model to simulate power output variations and transient effects, followed by integration into a real-time hardware simulation via a Nuclear Reactor in the Loop system for validation under authentic operational conditions. Subsequently, an NR- HES Simulator is devised to evaluate LF performance, allowing users to design intricate hybrid energy configurations and analyze nuclear reactor suitability for diverse load profiles like Fast Charging Stations. The methodology encompasses reactor characterization, mathematical modeling, solution derivation, control strategies for base load and LF scenarios, concluding with comprehensive validation and sensitivity analysis. This research significantly contributes to informed decision-making for robust and cost-effective NR-HES designs, emphasizing the role of nuclear reactors in dynamically managing energy demands.