Digital Transformation from Analog Era in Advanced Reactor Control Integrating AI for Enhanced Incore and Core Health Monitoring
Abstract:
The nuclear energy sector is undergoing a significant transformation, driven by the transition from analog to digital control systems in Advanced Reactor Control and Operations (ARCO). This digital shift is particularly impactful for small modular reactors (SMRs), poised to become vital to the future energy landscape. Enhancing monitoring, predicting maintenance, and optimizing reactor performance in real time can be accomplished by the industry by incorporating Artificial Intelligence (AI) and Machine Learning (ML) into SMR operations. This paper investigates the all-encompassing effects of digitalization and AI integration in ARCO and SMRs, looking at the implementation in phases over short, medium, and long terms. It explores how IC technology has contributed to this change, showing how advances in computation, communication, and control are being driven by the new generation of ICs. As the technology matures, AI will play an increasingly central role in optimizing reactor operations and integrating SMRs into broader energy grids. In the long term, the vision includes autonomous SMRs and AI-driven digital twins that continuously monitor and optimize reactor performance. Ultimately, successfully integrating these technologies will require careful attention to regulatory standards, cybersecurity, and human-AI collaboration. It positions SMRs as a cornerstone of a sustainable and resilient energy future.
