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Thea Energy collaborates with AI companies to develop stellarator digital twin
Thea Energy has announced it is working with Nvidia and Synopsys to develop a digital twin of its stellarator fusion power plant concept, called Helios.
The team, which also includes Argonne National Laboratory and Princeton Plasma Physics Laboratory, will “analyze and scale vast datasets, rapidly evolve Thea Energy’s plant designs, and stress-test system operation in a workflow that outpaces traditional tools,” according to the company.
Wilson Cowherd, John Stillman, Leslie Foyto, Erik Wilson, Kiratadas Kutikkad, Nickie Peters, John Gahl
Nuclear Technology | Volume 207 | Number 10 | October 2021 | Pages 1538-1563
Technical Paper | doi.org/10.1080/00295450.2020.1829427
Articles are hosted by Taylor and Francis Online.
Nonpower reactors licensed by the U.S. Nuclear Regulatory Commission require a startup test plan as part of any facility modification to verify operability prior to resumption of operations. In order to support conversion of the University of Missouri Research Reactor from the use of highly enriched uranium to low-enriched uranium (LEU) fuel, a startup test plan has been devised to measure certain reactor physics parameters for the initial all-fresh LEU core licensing documentation that will be submitted. These parameters include the approach to critical, primary coolant void coefficient of reactivity, flux trap void coefficient of reactivity, determination of flux trap sample reactivity worth, radial and axial thermal neutron flux mapping, control blade worth calibration, primary and pool coolant temperature coefficient of reactivity, and flux mapping of experimental positions. In this paper, predictions for these parameters made using the Monte Carlo N-Particle Version 5 (MCNP5) radiation transport code are reported. These predictions will support the startup tests by providing a baseline set of expectations and additional insight into the performance of the LEU core.