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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.
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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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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.
A. F. Debosscher
Nuclear Science and Engineering | Volume 69 | Number 3 | March 1979 | Pages 354-362
Technical Paper | doi.org/10.13182/NSE79-A19952
Articles are hosted by Taylor and Francis Online.
In the present paper, an exact first-order statistical analysis is given of the power and temperature fluctuations in a nuclear power reactor with temperature feedback, which is perturbed by Gaussian white reactivity noise. Using a new technique, the time-independent Fokker-Planck equation for the two-dimensional power-temperature Markov process is solved in terms of a two-dimensional first-order characteristic function. This characteristic function gives a complete first-order statistical description of the investigated stochastic process and allows for the calculation of the marginal and the combined probability density functions of reactor power and temperature. In addition, a general expression for the moments is derived. Since the underlying reactor model has been extensively used in approximate linearized analyses, a comparison can be made of the exact results obtained in this paper with the earlier results, and the validity of the linear approximation can be delimited in terms of two dimensionless system parameters.