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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.
Luis A. Perles, Dragan Mirkovic, Gabriel O. Sawakuchi, Uwe Titt
Nuclear Technology | Volume 175 | Number 1 | July 2011 | Pages 22-26
Technical Paper | Special Issue on the 16th Biennial Topical Meeting of the Radiation Protection and Shielding Division / Radiation Biology; Radiation Used in Medicine | doi.org/10.13182/NT11-A12264
Articles are hosted by Taylor and Francis Online.
In this work we present a Monte Carlo study of proton irradiation of lung parenchyma phantoms for particle energies that are typically used for proton therapy, ranging from 150 to 200 MeV. The Bragg peaks of the proton beams were scored in a water phantom distal to voxelized slabs of lung material. A detailed lung parenchyma phantom was modeled and converted into a voxelized structure, with a resolution similar to that obtained by computed tomography, to study differences in the dose deposited by the proton beams distal to the phantom caused by merging small structures into larger voxels. The results show that the Bragg peak dose in water can vary by up to 11%, the distal edge degradation can be as large as 1.1 mm, and the maximum observed changes in the range at 90% of the dose are 0.4 mm in water. From our results, we conclude that computational proton dose predictions in a lung are associated with large uncertainties. To improve the accuracy of dose calculations, a more detailed model of lung parenchyma is needed.