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2026 ANS Annual Conference
May 31–June 3, 2026
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.
Paul J. Meier, Gerald L. Kulcinski
Fusion Science and Technology | Volume 39 | Number 2 | March 2001 | Pages 507-512
Fusion Economic Studies | doi.org/10.13182/FST01-A11963286
Articles are hosted by Taylor and Francis Online.
This study summarizes a recent life-cycle net energy analysis (NEA) on a modern natural gas turbine power plant for comparison against DT fusion and conventional technologies (coal, fission, and wind). The NEA results are used as the basis for developing a life-cycle greenhouse gas (GHG) emission rate. The GHG emission rate for DT fusion is 9 metric tonnes of CO2 equivalent emitted per gigawatt electric hour produced (T/GWeh). This rate compares favorably against gas turbine (464 T/GWeh) and conventional coal (974 T/GWeh), and competitively against fission (15 T/GWeh) and wind (15 T/GWeh). The implications of this research for U.S. GHG mitigation are discussed. In evaluated scenarios, the installed nuclear and renewable capacity in the U.S. must quadruple by 2050 to maintain a Kyoto based emission target, with fusion and/or other renewable sources comprising 43-59% of U.S. capacity.