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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.
Friedrich Niehaus, Harry J. Otway
Nuclear Technology | Volume 34 | Number 3 | August 1977 | Pages 387-397
Technical Paper | Reactor Siting | doi.org/10.13182/NT77-A31803
Articles are hosted by Taylor and Francis Online.
By using an idealized model, the reduction in potential radiation risks, as a function of increasing distance between nuclear power plant and load center, was compared to the corresponding increase in power transmission costs. Based on the U.S. Nuclear Regulatory Commission guideline of $1000/man-rem, remote siting was not found to be a cost-effective risk-reduction method. However, this guideline applies only to the biological risks of radiation exposure, explicitly excluding measures of the relevant social values. It is suggested that methodologies from many disciplines can be applied within the risk assessment framework to allow the inclusion of value measures in public decisions that regulate the integration of technological and social systems.