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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.
W. Jaschik, L W. Seifritz
Nuclear Science and Engineering | Volume 53 | Number 1 | January 1974 | Pages 61-78
Technical Paper | doi.org/10.13182/NSE74-A23330
Articles are hosted by Taylor and Francis Online.
A sophisticated model is presented for the calculation of prompt-response self-powered neutron (SPN) detectors used for stationary as well as nonstationary neutron flux measurements in nuclear reactor cores. The technique recommended for calculating the unit sensitivity in terms of A/(cm) per unit flux takes the following into account:, neutron self-shielding factor of the emitter, flux depression correction, Compton and photoelectron production rate due to self-absorption of the gamma-ray cascade emitted immediately after neutron capture, electron escape probability from the emitterm, loss of electron energy within the emitter, range of the electrons in the insulator which contains a space-charge electric field., Calculated thermal and fast unit sensitivities in a typical light-water-reactor neutron spectrum for four potential prompt-response SPN detectors, whose emitters consist of cobalt, cadmium, erbium, and hafnium, are compared with experimental data and are found to be in satisfactory agreement.