The discovery of a rare species of bee by environmental regulators has blocked the plans of tech conglomerate Meta to build an artificial intelligence data center powered by nuclear energy—at least temporarily. Numerous media outlets, including Popular Science, have reported that the unnamed species of bee was detected by regulators who were surveying the land designated for the new data center—land that is located next to an unnamed nuclear power plant from which Meta had planned to obtain electricity.

Tech giant Amazon announced Wednesday new partnerships with Dominion Energy and X-energy to develop and deploy 5 gigawatts of nuclear energy to power needs across the country over the next 15 years.

Key developments, emerging trends, challenges, and innovations in the field of health physics are the topic of a recently published article in Health Physics Journal. The authors of “The Future of Health Physics: Trends, Challenges, and Innovation,” Lekhnath Ghimire and Edward Waller, write that they hope to “foster dialogue and collaboration for the unpredictable yet exciting journey ahead” in health physics.

The Duane Arnold nuclear power plant in Iowa could see new life, according to NextEra Energy chief executive officer John Ketchum.

“There would be opportunities and a lot of demand from the market if we were able to do something with Duane Arnold,” Ketchum said on Wednesday this week during the company’s second-quarter earnings call.

Investor’s Business Daily reported May 10 that the first-quarter earnings of Constellation Energy, the largest operator of nuclear power plants in the United States, surged 858 percent to reach a share price of $2.78, partly as a result of promising expectations regarding demand for artificial intelligence data centers. The S&P 500 stock value of Constellation jumped 3.7 percent on May 8 to $208.

Baseload nuclear generation doesn’t get the respect it deserves, if you ask nuclear operators. But the hyperscale data centers that process our digital lives—like the one right next to the Susquehanna plant in northeastern Pennsylvania—are pushing electricity demand up. Clean, reliable capacity now looks a lot more valuable.

The spread of “electricity-hungry data centers and clean-technology factories” throughout the United States is “leaving utilities and regulators grasping for credible plans to expand the nation’s creaking power grid,” according to a recent article in the Washington Post. According to the report, the surge in industrial power requirements due to such factors as innovation in artificial intelligence (AI) and the corresponding construction of large computing infrastructure, is prompting some officials to “look beyond the grid” to ease the “grid bottleneck” and meet electricity demands.

Standard Power, a provider of infrastructure as a service to advanced data processing companies, has chosen NuScale Power as the technology provider for its plans to develop two small modular reactor–powered facilities in Ohio and Pennsylvania to run nearby data centers, the Portland, Ore.-based SMR developer announced on October 3.

Advanced reactors are promising energy systems that can enable the world to transition to a more sustainable energy matrix. These concepts are potentially more fuel efficient and safer, compared with previous generations of nuclear reactors. Many designs, like high-­temperature gas reactors (HTGRs) and molten salt fast reactors (MSFRs), target high outlet temperatures, allowing for their operation in processes where high heating is required, such as for hydrogen production and desalination.

Jamie Coble

The nuclear power industry has the opportunity for significant advancements in the coming years, driven by the digital integration of instrumentation and controls (I&C), machine learning (ML), artificial intelligence (AI), and optimized operations and maintenance (O&M) technologies. These developments are the enabling technologies that can ensure the efficiency, safety, and reliability of our future fleet of nuclear power plants, propelling the industry toward a more sustainable and intelligent future.

I&C plays a vital role in monitoring and controlling various aspects of nuclear power plants. Traditional I&C systems have relied on hardwired control circuits, but modern advancements are shifting towards digital I&C systems, also known as digital control systems (DCS). These systems offer enhanced flexibility, scalability, and reliability. They utilize advanced sensors, data acquisition systems, and distributed control algorithms to enable real-time monitoring, fault detection, and control optimization.

Imagine if your employees had a Virtual Assistant that could create condition reports, work requests, or plan work orders simply by asking for it. Or better yet, what if the Virtual Assistant could create work packages and plan your employees’ day automatically without even having to ask? How much more productive would we be if we all had a Virtual Assistant to help perform our work and capture and share our activities as they occurred?

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 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.