ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
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.
P. E. Labeau
Nuclear Science and Engineering | Volume 126 | Number 2 | June 1997 | Pages 131-145
Technical Paper | doi.org/10.13182/NSE97-A24467
Articles are hosted by Taylor and Francis Online.
Probabilistic dynamics offers a general Markovian framework for a dynamic treatment of reliability. Monte Carlo simulation appears to be a powerful and flexible tool to deal with the high dimensionality of realistic applications. Yet an analog game turns out to be ineffective for two main reasons: Very rare events leading to failures are not sampled enough to obtain a good statistical accuracy, and the equations of the dynamics have to be integrated all along each history, which results in very large computation times. Recent improvements in Monte Carlo simulation applied to probabilistic dynamics allow a much faster and more precise estimation of the unreliability of large systems, and they are illustrated on a pressurized water reactor pressurizer.