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September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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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.
Attila Rácz
Nuclear Technology | Volume 104 | Number 1 | October 1993 | Pages 128-146
Technical Paper | Reactor Control | doi.org/10.13182/NT93-A34875
Articles are hosted by Taylor and Francis Online.
During the last two decades, Kalman filter-based process monitoring techniques have been rediscovered and widely applied in different areas of control and signal validation. When the physical model of the underlying system is known, the Kalman filter is sensitive enough to indicate small, unexpected changes either in the plant or in the measurement models. Although the innovation process that is generated by Kalman filters contains all the necessary statistical information for detecting certain malfunctions, performance degradation, or off-normal operation conditions, skillful hypothesis testing methods are needed for proper interpretation of the innovation’s behavior. The classical binary sequential probability ratio test (SPRT’), developed by Wald, is an optimal tool to judge between two concurring hypotheses. For more than two alternatives, the multiple-hypothesis testing method, the so-called M-ary SPRT, is recommended. In many cases, the situation cannot be represented as simply as a binary problem, however, and the M-ary scheme would be an overcomplication. For an illustration, consider leakage detection when the exact amount of the loss is not of interest. In such a case, the problem can be treated by a properly chosen binary test, and Wald’s classical SPRT framework can be applied. Thus, any binary SPRT and computer code can be used without any modification.