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Division Spotlight
Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
Meeting Spotlight
2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
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.
Yung-An Chao, Aquilino Senra Martinez
Nuclear Science and Engineering | Volume 80 | Number 3 | March 1982 | Pages 401-406
Technical Paper | doi.org/10.13182/NSE82-A19825
Articles are hosted by Taylor and Francis Online.
An accurate background cross-section method for nuclear reactor cell homogenization is developed that is based on the very precise moment expansion approximation to the neutron escape probability that we recently suggested. The moment expansion approximation is so devised to properly generalize the equivalence relation that the background cross-section method attains a high accuracy to <1% error for each individual resonance, yet still preserves the very features of universality and simplicity of Bondarenko's method.