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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Fusion Science and Technology
July 2025
Latest News
DOE on track to deliver high-burnup SNF to Idaho by 2027
The Department of Energy said it anticipated delivering a research cask of high-burnup spent nuclear fuel from Dominion Energy’s North Anna nuclear power plant in Virginia to Idaho National Laboratory by fall 2027. The planned shipment is part of the High Burnup Dry Storage Research Project being conducted by the DOE with the Electric Power Research Institute.
As preparations continue, the DOE said it is working closely with federal agencies as well as tribal and state governments along potential transportation routes to ensure safety, transparency, and readiness every step of the way.
Watch the DOE’s latest video outlining the project here.
T. Casper, W. Houlberg, J. Snipes, D. Thomas, A. Wallander, M. Walsh, A. Winter
Fusion Science and Technology | Volume 58 | Number 3 | November 2010 | Pages 715-719
Selected Paper from Sixth Fusion Data Validation Workshop 2010 (Part 2) | doi.org/10.13182/FST10-A10919
Articles are hosted by Taylor and Francis Online.
The ITER Organization has initiated the process of assessing issues and requirements for data analysis and modeling for the operational program. Many of these requirements are consistent with those currently in research programs in the member countries. ITER will, however, rely more heavily on model predictions to design and develop the pulse sequences used during operations. This places a greater demand on the fidelity of the models and on their experimental validation. Real-time data analysis will be an integral component of the ITER plasma control system. Real-time forecasting of discharge evolution, identification of the approach to operational limits, and disruption avoidance strategies are included in the overall strategy for control and analysis. Because of the long ITER pulse length, we require display of analyzed data and model predictions during the execution of each pulse as the data are being acquired and processed. An integrated modeling and data analysis system with unified methods for data handling and storage will be designed and developed.