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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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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.
Raymond T. Klann, Sergio C. de la Barrera, Richard B. Vilim
Nuclear Technology | Volume 175 | Number 1 | July 2011 | Pages 301-313
Technical Paper | Special Issue on the 16th Biennial Topical Meeting of the Radiation Protection and Shielding Division / Radiation Measurements and General Instrumentation | doi.org/10.13182/NT11-A12302
Articles are hosted by Taylor and Francis Online.
Within the homeland security and emergency response communities, there is a need for a low-profile system to detect, locate, and identify radioactive sources in real time. Such a system could be deployed for area monitoring around venues for special events. A system was developed at Argonne National Laboratory, called RADTRAC, which is based on a network of radiation detectors and advanced signal-processing algorithms. The initial implementation of RADTRAC did not account for dynamically changing shielding due to crowd movements.An algorithm was developed that utilizes the gamma-ray energy spectrum from each detector to estimate the amount of attenuation and scattering that is present between the source location (a priori unknown) and the detector location in real time. The attenuation and scattering estimations are then included in the maximum likelihood model to significantly improve the source localization solution. Results are presented for several test cases showing the improvement in the real-time source localization solution.This algorithm has been implemented into the current version of RADTRAC such that it now accounts for the effects of dynamically changing shielding and scattering due to crowd movements in real time in order to accurately determine the source location in crowded venues.