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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.
Hongchun Wu, Lin Guo, Chenghui Wan
Nuclear Science and Engineering | Volume 199 | Number 1 | January 2025 | Pages 115-130
Research Article | doi.org/10.1080/00295639.2024.2334988
Articles are hosted by Taylor and Francis Online.
Fuel assembly bowing, widely observed in a pressurized water reactor (PWR), often results in an asymmetrical power distribution. This paper proposes a neutron-diffusion method that integrates the arbitrary quadrilateral node with the conformal mapping technique to characterize the impact of fuel assembly bowing on power distribution. The proposed method involves a nonlinear iteration process to solve the neutron-diffusion equation. The global coarse-mesh finite difference equation is established on the arbitrary quadrilateral nodes, which are redivided in response to fuel assembly bowing. The local two-node nodal expansion method equation is established on the rectangular nodes, which are mapped from the original arbitrary quadrilateral nodes using the conformal mapping technique.
The proposed method has improved our self-developed core code, named SPARK, for PWRs. To verify this novel method, two distinct types of fuel assembly bowing are modeled based on the mini core. The reference results for these models were obtained using the Monte Carlo code NECP-MCX. The numerical results suggest a robust agreement between the biases of keff and power distributions and their corresponding reference results.