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Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
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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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.
E. M. Gelbard, D. C. Wade, R. W. Schaefer, R. E. Phillips
Nuclear Science and Engineering | Volume 64 | Number 2 | October 1977 | Pages 624-637
Technical Paper | doi.org/10.13182/NSE77-A27395
Articles are hosted by Taylor and Francis Online.
In this paper we describe a validation procedure for and results of streaming calculations for the Argonne National Laboratory gas-cooled fast reactor critical assemblies. The calculational approach for evaluating anisotropic diffusion theory methods is discussed in the context of a broader validation effort. A tentative procedure for converting from the three-dimensional physical unit cell to a one-dimensional model and for the generation of Benoist anisotropic diffusion coefficients in this one-dimensional model is described and analyzed. Based on the results, an alternate one-dimensional model and an alternate anistropic diffusion coefficient prescription are developed. After evaluating the alternate procedure, conclusions are drawn from the study.