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Growth beyond megawatts
Hash Hashemianpresident@ans.org
When talking about growth in the nuclear sector, there can be a somewhat myopic focus on increasing capacity from year to year. Certainly, we all feel a degree of excitement when new projects are announced, and such announcements are undoubtedly a reflection of growth in the field, but it’s important to keep in mind that growth in nuclear has many metrics and takes many forms.
Nuclear growth—beyond megawatts—also takes the form of increasing international engagement. That engagement looks like newcomer countries building their nuclear sectors for the first time. It also looks like countries with established nuclear sectors deepening their connections and collaborations. This is one of the reasons I have been focused throughout my presidency on bringing more international members and organizations into the fold of the American Nuclear Society.
Changho Lee, Hansol Park, Yeon Sang Jung, Cooper Trucks
Nuclear Science and Engineering | Volume 199 | Number 1 | April 2025 | Pages S42-S55
Review Article | doi.org/10.1080/00295639.2024.2348855
Articles are hosted by Taylor and Francis Online.
High-fidelity deterministic steady-state simulations of the Empire microreactor problem were conducted using the discontinuous finite element method–based discrete ordinate solver in Griffin, accompanied by the online cross-section self-shielding application programming interface (SSAPI). The 68-group cross-section libraries for SSAPI were generated through a series of Python scripts and using a combination of Serpent2, NJOY, and MC2-3 with ENDF/B-VII.0, VII.1, and VIII.0 data. Additionally, the 27-group libraries were generated as well to improve computational performance while maintaining the solution accuracy. The capabilities of Griffin with these three ENDF/B cross-section libraries were rigorously tested across various Empire microreactor benchmark problems, including fuel assembly and two- and three-dimensional cores with control drums rotated in or out. The calculation results convincingly demonstrated that Griffin with the cross-section libraries and SSAPI achieves accurate simulations of the Empire microreactor cores, exhibiting accuracy in terms of eigenvalue, control drum reactivity worth, and pin power distribution when compared to corresponding Serpent2 solutions.
