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Denver, CO|Sheraton Denver
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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.
R. J. Sheu, J. Liu, J. P. Wang, K. K. Lin, G. H. Luo
Nuclear Technology | Volume 168 | Number 2 | November 2009 | Pages 417-423
Shielding | Special Issue on the 11th International Conference on Radiation Shielding and the 15th Topical Meeting of the Radiation Protection and Shielding Division (Part 2) / Radiation Protection | doi.org/10.13182/NT09-A9219
Articles are hosted by Taylor and Francis Online.
This study investigates the characteristics of the prompt radiation field due to the operation of the proposed Taiwan Photon Source (TPS). Two extreme beam loss cases are considered to bound the possible beam loss scenarios in the tunnel; i.e., all electrons are lost at one point, or they are lost uniformly along the whole electron orbit. Energy spectra and dose distributions of the prompt radiation field for the shielding design of the TPS are studied using analytic estimations and Monte Carlo simulations. The radiation levels of photons and neutrons outside the shielding wall are estimated for various operation modes and beam loss scenarios. The calculated results show that the preliminary shielding design of the TPS is highly practicable to achieve its annual design dose limit of 1 mSv for personnel. Meanwhile, the radiation impact on the environment is also far below the regulatory requirement.