AI and Autonomous Systems in Nuclear Energy
At Idaho National Laboratory (INL), we are pioneering the integration of artificial intelligence (AI) and machine learning (ML) to transform nuclear energy design, operations, and research. From accelerating reactor licensing and enabling autonomous operations to advancing next-generation fuels and materials, our mission is to enhance safety, efficiency, and innovation across the nuclear sector.
Autonomous design, development and licensing
INL aims to leverage AI and ML to streamline the design, development, and licensing processes for nuclear reactors. By integrating AI with engineering tools, we can automate the creation of 3D building information models and enhance design workflow efficiency. This includes developing systems that interface with regulatory bodies to facilitate timely feedback on design documentation and simulations, reducing the time and resources required for licensing. INL is focused on using AI to analyze historical project data, which can identify best practices and potential challenges, minimizing risks associated with delays and cost overruns.
Realization of autonomous operations
INL is committed to advancing autonomous operational capabilities for small modular reactors and microreactors. Through the development of advanced instrumentation, sensors and AI algorithms, we are enabling remote and autonomous operations that enhance safety and efficiency. Our research includes creating digital twins of physical reactors that provide real-time data to continuously monitor reactor performance. By implementing AI-driven monitoring systems, we can detect anomalies and operational inefficiencies early, allowing for proactive maintenance.
Dominating nuclear energy research and development
INL is maximizing the use of its specialized test facilities. Operating nearly around the clock allows us to efficiently qualify new fuels and materials while accelerating the research timeline. INL is also focused on developing advanced computational models that simulate reactor behavior under various conditions, providing critical insights into fuel performance and reactor dynamics. By collaborating with industry partners and academic institutions, we seek to advance innovative fuels and technologies that improve the safety and efficiency of the next generation of nuclear power plants.
