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Division Spotlight
Operations & Power
Members focus on the dissemination of knowledge and information in the area of power reactors with particular application to the production of electric power and process heat. The division sponsors meetings on the coverage of applied nuclear science and engineering as related to power plants, non-power reactors, and other nuclear facilities. It encourages and assists with the dissemination of knowledge pertinent to the safe and efficient operation of nuclear facilities through professional staff development, information exchange, and supporting the generation of viable solutions to current issues.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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
X-energy receives federal tax credit for TRISO fuel facility
Advanced reactor company X-energy has been awarded $148.5 million in tax credits under the Inflation Reduction Act for construction of its TRISO-X fuel fabrication facility in Oak Ridge, Tenn.
Ibrahim Jarrah, Rizwan uddin (Univ of Illinois)
Proceedings | 2018 International Congress on Advances in Nuclear Power Plants (ICAPP 2018) | Charlotte, NC, April 8-11, 2018 | Pages 503-512
The spent fuel dry cask should remain subcritical under normal, abnormal, and accident conditions. The cask becomes susceptible to criticality if it is misloaded with assemblies that do not conform with the Certificate of Compliance (CoC). To avoid this scenario, the cask loading process involves several verification steps to make sure that all of the loaded assemblies satisfy the CoC requirements. However, most of loading and verification steps are carried out by humans with finite probabilities for errors, which need to be quantified. In this paper, the probability of misloading a cask with light water reactor (PWR and BWR) fuel is quantified using the event tree method. Probability distribution functions for all of the human errors are obtained using the SPAR-H human reliability analysis method. The Fussell-Vesely (FV) importance measure is performed to determine the tasks that contribute the most to the having a misloaded cask. The probability of misload is found to be 5.56E-06 for cask loaded with the PWR and 2.95E-05 for the cask loaded with the BWR fuel. Both of these are considered to be small.