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Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
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2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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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.
Leo B. Levitt, Jerome Spanier
Nuclear Science and Engineering | Volume 37 | Number 2 | August 1969 | Pages 278-287
Technical Paper | doi.org/10.13182/NSE69-A20688
Articles are hosted by Taylor and Francis Online.
Monte Carlo calculations based on the adjoint transport equation offer an attractive alternative to calculations based on the transport equation when the detector region is much smaller than the source region. However, when an analog simulation of the adjoint equation is attempted, extra variance may arise due essentially to the nonphysical aspects of the adjoint equation. In this paper, a new adjoint Monte Carlo technique is described in which most of this additional variance has been eliminated. The method appears to be very useful for solving slowing down problems involving energies below the threshold for inelastic scattering. The basis for the technique is the idea of exactly reversing direct Monte Carlo random walks. It is shown that this reversal may be accomplished via a transformation of the adjoint transport equation by means of a discontinuous importance function. This transformation is a logical extension to continuous energies of an adjoint multigroup formulation used by Gelbard and Spanier to study thermal problems. Numerical results are provided which illustrate the variance reduction resulting from the use of this technique.