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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.
T. Kunugi, M. Akiba, M. Ogawa, H. Ise, S. Yamazaki
Fusion Science and Technology | Volume 21 | Number 3 | May 1992 | Pages 1863-1867
Plasma-Facing Component | doi.org/10.13182/FST92-A29990
Articles are hosted by Taylor and Francis Online.
Several numerical codes were developed and used to evaluate the erosion thickness of the plasma facing wall. Some discrepancies of the results using the existing codes are pointed out. It is very important to understand the reason of the discrepancies. The analytical studies were performed to find the sensitivity of some factors on the results, such as boundary conditions, evaporation models and thermal properties. It was found that the temperature dependency effects of thermal conductivity and vapor pressure strongly affected the erosion results. Unfortunately, the results of this study cannot sufficiently explain the discrepancies. We would like to emphasize the necessity of the verification of the existing codes and numerical models, and the physical understanding.