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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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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.
Patrick Miazza, Jacques Ligou
Nuclear Science and Engineering | Volume 105 | Number 1 | May 1990 | Pages 59-78
Technical Paper | doi.org/10.13182/NSE90-A19213
Articles are hosted by Taylor and Francis Online.
The Boltzmann-Fokker-Planck equation has been applied to treat charged-particle slowing down in solids. The discrete ordinates (SN) methods, with exact kernels (I*) or traditional truncated Legendre expansions (SNPL), have been used to investigate well-defined benchmark problems related to atomic displacement cascades. For an overall higher accuracy, it is found that an exact kernel transport calculation is equivalent, in terms of CPU cost, to a SNPN approach in one spatial dimension. Moreover, if the related cross-section processing methods are compared, it is shown that the calculation of the scattering kernels needed by the I* method requires only as much CPU time as the standard P0 matrix evaluation.