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Long-term strategy calls for up to 10 new reactors in Canada
Canada has launched a Nuclear Energy Strategy, a long-term vision of its nuclear power potential that includes plans to deploy up to 10 new large-scale reactors in the country by 2040.
The June 22 announcement, along with ongoing projects at Darlington and Bruce Power, further confirm Canada's ambitions to expand its nuclear power presence not just domestically but also abroad. Four pillars stand at the heart of the country’s Nuclear Energy Strategy: new nuclear builds in Canada, maintaining its status as a top nuclear supplier and exporter, expanding uranium production, and continuing nuclear fission and fusion innovations.
Bobbi Riedel, Christopher M. Perfetti, Forrest B. Brown
Nuclear Science and Engineering | Volume 199 | Number 6 | June 2025 | Pages 941-956
Research Article | doi.org/10.1080/00295639.2024.2403898
Articles are hosted by Taylor and Francis Online.
This study conducts a consistent and comprehensive comparison of several methods for estimating upper subcritical limits (USLs) for nuclear criticality safety analysis. To eliminate inconsistency caused by the discrepancy between the estimated covariance data and the true degree of uncertainty present in nuclear data, the experimental system eigenvalues were assumed to equal the calculated eigenvalue for the systems using nominal ENDF/B-VII.1 cross sections, and the estimated calculated eigenvalue was assumed to equal the calculated eigenvalue for the systems using nuclear data from one perturbed cross-section library. USLs are estimated for a variety of validation application cases using the Whisper, TSURFER, and USLSTATS tools and are compared to a reference 95/95 limit. The TSURFER approach produced the strongest agreement with the reference USLs; the Whisper produced USLs that were reliably conservative compared to the reference USL; and the USLSTATS approach experienced difficulty consistently producing accurate USL estimates. Last, this study observed a noteworthy discrepancy when using Cholesky decomposition to randomly sample neutron cross-section covariance data that are small in magnitude.