Researchers at Harbin Engineering University have made significant strides in nuclear reactor design by developing a new framework that enhances the accuracy of resonance self-shielding treatment for broad-spectrum fuel lattice calculations. This advancement is particularly relevant for core designs that utilize high-enriched fuel and various moderator materials, which are increasingly being explored to improve neutron utilization.
The framework introduced by lead author Jinchao Zhang and his team addresses the complexities associated with resonance calculations in systems where a broad spectrum of neutron energies is present. The proposed method consists of three key components aimed at optimizing the resonance calculation process. Firstly, the researchers devised a new energy group structure that captures the effects of spectral transition and thermalization during eigenvalue calculations. This allows for a more comprehensive analysis across the entire energy range.
Secondly, the team employed a subgroup method based on a narrow approximation to perform resonance calculations, which can be applied universally across different reactor scenarios. Lastly, they solved transport equations for each fissionable region to accurately collapse the fission spectrum and determine neutron flux.
The results from their numerical simulations are promising. The method was validated against various scenarios, including fast, intermediate, and thermal spectrum pin cell problems, as well as an assembly problem that involved a fast-thermal coupled spectrum. The eigenvalue errors were found to be below 154 pcm for pin cell problems and 106 pcm for the assembly problem, demonstrating the framework’s effectiveness in providing accurate resonance self-shielding treatment.
This research holds considerable commercial implications for the nuclear energy sector. As countries seek to enhance the efficiency and safety of nuclear reactors, the ability to accurately model and calculate neutron behavior becomes crucial. The advancements made by Zhang and his team could lead to the development of more efficient reactor designs that maximize fuel utilization while minimizing waste.
Furthermore, the framework’s versatility opens up opportunities for its application in various reactor types, potentially leading to innovations in both existing and next-generation nuclear technologies. As the industry continues to evolve, tools that improve predictive capabilities and operational efficiencies will be in high demand.
The findings were published in “Nuclear Engineering and Technology,” emphasizing the ongoing commitment to advancing nuclear science and engineering. This research not only contributes to the academic community but also paves the way for practical applications that could reshape the future of nuclear energy.
