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Division Spotlight
Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
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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.
Iván Lux
Nuclear Science and Engineering | Volume 73 | Number 1 | January 1980 | Pages 66-75
Technical Paper | doi.org/10.13182/NSE80-A18709
Articles are hosted by Taylor and Francis Online.
Sufficient conditions are provided in terms of transition kernels under which one game results in a lower variance than another game when both estimate the same quantity. By defining the efficiency of a Monte Carlo game by the inverse of the product of the variance and the number of collisions per history and the computing time per collision, and by using a special approximation, called the separation assumption, for the evaluation of integrals occurring in the analysis, it is shown in a simplified situation that the expected leakage probability method in reaction rate and leakage estimations, although reducing the variance, is less efficient than the analog game with an expectation estimator. The efficiency of a game with survival biasing and Russian roulette is examined, and a simple method is presented for the determination of a quasi-optimum value of the Russian roulette parameter.