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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.
J. F. Carew
Nuclear Science and Engineering | Volume 104 | Number 4 | April 1990 | Pages 396-401
Technical Paper | doi.org/10.13182/NSE90-A23737
Articles are hosted by Taylor and Francis Online.
An analytic method for analyzing prompt-critical reactivity transients for a nonlinear energy feedback model is derived. The nonlinear point kinetics equation is replaced by a least-squares equivalent linear equation, and an approximate time-dependent reactivity is determined analytically. Assuming the power burst is infinitely sharp and symmetric about the peak, the transient peak energy, power, and pressure are expressed in terms of the inserted reactivity. The resulting expressions allow the definition of an equivalent step reactivity transient that preserves both the peak energy and power. The method is applied to the case where the feedback nonlinearity is small, and simplified expressions for the transient peak energy and power are determined and shown to approximate the known exact results in the case of a ramp reactivity insertion and a linear energy feedback model.