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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.
E. Varin, G. Samba
Nuclear Science and Engineering | Volume 151 | Number 2 | October 2005 | Pages 167-183
Technical Paper | doi.org/10.13182/NSE05-A2538
Articles are hosted by Taylor and Francis Online.
To mitigate some drawbacks of the discrete ordinates method or the even-parity approach, a new deterministic method for solving the Boltzmann transport equation is proposed. Based on a scaled least-squares formulation, the first-order transport equation is solved for a spherical harmonics expansion of the angular flux. This approach allows a continuous finite element discretization. Discrete equations have been derived for media with anisotropic scattering. Moreover, extensions are proposed to allow for solutions in three-dimensional multiplicative regions. Asymptotic analyses of this least-squares approach show the need for a scaling of the transport equation in order to maintain the diffusion limit. One-dimensional tests are used to evaluate this scaling operator, and results are compared with reference solutions. Anisotropic multigroup scattering cases are also presented. Tests on a three-dimensional simple problem show that ARTEMIS, the transport solver based on this method, gives solutions free of ray effects.