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2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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Fusion Science and Technology
November 2025
Latest News
AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
Kyeongmin Oh, Dowan Kim, Kisung Lim, Hyunchul Ju
Fusion Science and Technology | Volume 76 | Number 4 | May 2020 | Pages 415-423
Technical Paper | doi.org/10.1080/15361055.2020.1712995
Articles are hosted by Taylor and Francis Online.
We present a three-dimensional (3-D) steam-methane-reforming (SMR) model consisting of a steam-reforming (SR) reactor, water gas shift reactor, preferential oxidation reactor, catalytic burner, heat exchangers, and balance of plant components. The mass and energy balance equations are derived considering the kinetic expressions of various SMR reactions and implemented in the commercial computational fluid dynamics software program Fluent by employing user-defined functions. The 3-D SMR model is then applied to a 10-kW SR reformer geometry and simulated for comparison with in-house experimental data. The simulation results and the experimental data show good agreement, and the model accurately captures the experimental exhaust gas compositions and the reactor outlet temperatures. The proposed 3-D simulation tool for predicting various transport and chemical processes is highly desirable from the viewpoint of design and optimization of full-scale SMR-based fuel processors.