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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Latest News
NRC’s hybrid AI workshop coming up
The Nuclear Regulatory Commission will host a hybrid public workshop on September 24 from 9 a.m.-5 p.m. Eastern time to discuss its activities for the safe and secure use of artificial intelligence in NRC-regulated activities.
Suh-Young Lee, Min Ho Chang, Jae-Uk Lee, Jin-Kuk Ha, Sei-Hun Yun, In-Beum Lee, Euy Soo Lee
Fusion Science and Technology | Volume 76 | Number 3 | April 2020 | Pages 351-357
Technical Paper | doi.org/10.1080/15361055.2020.1712980
Articles are hosted by Taylor and Francis Online.
This paper proposes a mathematical model for the optimal operation of the fuel cycle of ITER. The developed model aims to minimize the tritium inventory in the fuel cycle by adopting a two-phased scheduling approach. To consider multiple equipment in the fuel cycle, the proposed solving algorithm is designed as sequential scheduling models: (Phase I) to minimize tritium inventory in the vacuum roughing system and (Phase II) to minimize tritium working inventory in the isotope separation system. The scheduling models are developed based on a state-task-network method. Given a required amount of tritium for fueling scenarios considering ramp-up, flat-top, and ramp-down, the proposed model provides the optimal operation plan for deuterium-tritium plasma operation including information on fueling rate, duration, and timing between each unit. Among six case studies, the noninductive tokamak operation mode with high tritium demands showed the highest tritium working inventory during one burn-and-dwell cycle.