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Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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Latest News
Constellation seeks subsequent license renewal for Dresden
Constellation Energy has filed with the Nuclear Regulatory Commission for a subsequent license renewal for its Dresden nuclear power plant in Illinois. The extension would allow Dresden to run through 2051.
The filing begins a comprehensive, multiyear review by the NRC. Unit 2 is currently licensed to operate through 2029 and Unit 3 through 2031. The facility’s license was first renewed by the NRC in 2004.
Michael F. Simpson, Steven D. Herrmann
Nuclear Technology | Volume 162 | Number 2 | May 2008 | Pages 179-183
Technical Paper | First International Pyroprocessing Research Conference | doi.org/10.13182/NT162-179
Articles are hosted by Taylor and Francis Online.
A kinetic model has been derived for the reduction of oxide spent nuclear fuel in a radial flow reactor. In this reaction, lithium dissolved in molten LiCl reacts with UO2 and fission product oxides to form a porous, metallic product. As the reaction proceeds, the depth of the porous layer around the exterior of each fuel particle increases. The observed rate of reaction has been found to be dependent only upon the rate of diffusion of lithium across this layer, consistent with a classic shrinking core kinetic model. This shrinking core model has been extended to predict the behavior of a hypothetical, pilot-scale reactor for oxide reduction. The design of the pilot-scale reactor includes forced flow through baskets that contain the fuel particles. The results of the modeling indicate that this is an essential feature in order to minimize the time needed to achieve full conversion of the fuel.