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The Radiation Protection and Shielding Division is developing and promoting radiation protection and shielding aspects of nuclear science and technology — including interaction of nuclear radiation with materials and biological systems, instruments and techniques for the measurement of nuclear radiation fields, and radiation shield design and evaluation.
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2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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New laws offer nuclear industry incentives for existing power plant uprates
This year, the U.S. nuclear industry received a much-needed economic boost that could help preserve operating nuclear power plants and incentivize upgrades that extend their lifespan and power output.
Signed into law in 2022, the Inflation Reduction Act offers production tax credits (PTCs) for existing nuclear power plants and either PTCs or investment tax credits (ITCs) for new carbon-free generation. These credits could make power uprates—increasing the maximum power level at which a commercial plant may operate—a much more appealing option for utilities.
Marvin L. Adams, Todd A. Wareing, Wallace F. Walters
Nuclear Science and Engineering | Volume 130 | Number 1 | September 1998 | Pages 18-46
Technical Paper | doi.org/10.13182/NSE98-A1987
Articles are hosted by Taylor and Francis Online.
The performance of characteristic methods (CMs) on problems that contain optically thick diffusive regions is analyzed and tested. The asymptotic analysis holds for moment-based characteristics methods that are algebraically linear; for one-, two-, and three-dimensional Cartesian coordinate systems; and for arbitrary spatial grids composed of polygons (two dimensions) or polyhedra (three dimensions). The analysis produces a theory that predicts and explains how CMs behave when applied to thick diffusive problems. The theory predicts that as spatial cells become optically thick and highly scattering, CMs behave almost exactly like discontinuous finite element methods (DFEMs). This means that there are two classes of CMs: those that fail dramatically on thick diffusive problems and those whose solutions satisfy discretizations of the correct diffusion equation. Most CMs in the latter set behave poorly in general, sometimes producing oscillatory and negative solutions in thick diffusive regions. However, the analysis suggests that certain reduced-order CMs, which use less information on cell surfaces than is readily available, will behave more robustly in thick diffusive regions. The predictions regarding standard CMs are tested by using the linear and bilinear characteristics methods on several test problems with rectangular grids in x-y geometry. The predictions regarding reduced-order CMs are tested by solving x-y test problems on triangular grids using a CM that employs linear functions for cell-interior sources but constants for cell-surface fluxes. In every case the numerical results agree precisely with the predictions of the theory.