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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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August 2025
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Industry Update—August 2025
Here is a recap of industry happenings from the recent past:
SMR service center targeted for Ontario
GE Vernova Hitachi Nuclear Energy has announced plans to invest as much as $50 million to establish a Canadian BWRX-300 Engineering and Service Center near Ontario Power Generation’s Darlington New Nuclear Project site. The Ontario government had previously approved the construction of the first of four BWRX-300 small modular reactors at the site. The center will provide engineering and technical services for the long-term operation and maintenance of the future fleet of SMRs in Ontario. It will also serve as a hub for innovation and training, knowledge sharing, supply chain engagement, and workforce development.
M. Z. Youssef, P. Batistoni, L. Patrizzi, T. Wareing, I. M. Davis
Fusion Science and Technology | Volume 52 | Number 4 | November 2007 | Pages 801-806
Technical Paper | Nuclear Analysis and Experiments | doi.org/10.13182/FST07-A1589
Articles are hosted by Taylor and Francis Online.
The calculation accuracy of the newly developed 3D discrete ordinates code, Attila, is benchmarked by comparing its prediction to the measured data in two mockups bombarded by 14 MeV neutron source of the FNG facility located at Frascati, Italy. The results are also compared to those based on MCNP Monte Carlo code for the same measured reactions. The experimental mock-ups simulate parts of ITER in-vessel components, namely, the tungsten (W) mockup and the ITER shielding blanket. The first mockup was used to validate W data as a material for plasma facing component. A streaming path was introduced in the second configuration. The objective of this paper is to benchmark Attila code to determine its adequacy for fusion application. Another objective is to compare results based on two distinctive 3D calculation tools using the same nuclear data, FENDL2.1, and the same response function (IRDF-90) for measured data. The results of these comparisons are reported in this paper.