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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.
Takeshi Kase, Hideo Harada
Nuclear Science and Engineering | Volume 126 | Number 1 | May 1997 | Pages 59-70
Technical Paper | doi.org/10.13182/NSE97-A24457
Articles are hosted by Taylor and Francis Online.
The performance of a continuous neutron source using an electron accelerator was evaluated by computer simulation codes (EGS4 and MCNP) in terms of neutron yield, neutron flux distribution, neutron spectrum, and heat distribution. Electrons with energies from 10 to 100 MeV were injected into a tungsten converter in order to generate photons by bremsstrahlung. When the photon irradiated a heavy water (D2O) target, neutrons were produced by photonuclear reaction in the (D2O) target. This type of source was optimized for target geometry and electron energy from the point of neutron yield. The neutron spectrum was found to have two characteristic peaks, at the low-energy (thermal) region and the high-energy (million-electron-volt) region. The maximum photoneutrons per 1000 MeV of electron energy was 0.56 at the electron energy of 30 MeV. In the case of irradiation by a 30-MeV, 33-mA continuous electron beam, the maximum thermal neutron flux was on the order of 1011 cm−2·s−1.