X-energy, the Rockville, Md.–based small modular reactor developer, has announced its plan to open the first Xe-100 reactor fleet management, monitoring, and training facility—the Plant Support Center–East (PCSE)—in the fourth quarter of this year.
Artificial intelligence (AI) and machine learning (ML) are helping scientists, engineers, regulators, and plant decision makers in their research and development of clean energy production to achieve a net-zero carbon footprint. While this science is new in terms of actual applications, it is fostering innovation in a variety of domains, from material discovery and qualification to advanced reactor design to supporting efficiencies in current power plants and transforming the usability of nuclear power plant control rooms.
The Department of Energy’s Naval Reactors Division is seeking applicants for its Rickover Fellowship Program in Nuclear Engineering for 2022-2023. The deadline for application submissions is January 31.
Application forms are available at the South Carolina Universities Research and Education Foundation (SCUREF) website. Applicants should submit all materials electronically through this site.
As predictive analytical tools, artificial intelligence (AI) and machine learning (ML) show promise in improving nuclear reactor safety while offering economic savings. To get a better understanding of current usage and future trends in AI and ML in the commercial nuclear power industry, the Nuclear Regulatory Commission is seeking comments from the public, the nuclear industry, and other stakeholders, as well as other interested individuals and organizations.
This year’s Utility Working Conference, held on August 11, had a dynamic opening plenary and a packed roster of informative sessions. Following are recaps of some of the 12:00 p.m. (EDT) sessions that took place.
You can read about the UWC's opening plenary here.
Look for more meeting recaps later today.
The awards will fund research into artificial intelligence and machine learning approaches to developing fusion energy, as well as fundamental theory and simulation.
The Department of Energy announced on March 4 that it will provide $30 million for new research on fusion energy. The funding will provide $17 million for research focused specifically on artificial intelligence (AI) and machine learning (ML) approaches for the prediction of key plasma phenomena, management of facility operations, and accelerated discovery through data science, among other topics. An additional $13 million under a separate funding opportunity will be devoted to fundamental fusion theory research, including computer modeling and simulation, focused on factors affecting the behavior of hot plasmas confined by magnetic fields in fusion reactors.