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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.
T. Albert Hu
Nuclear Technology | Volume 178 | Number 1 | April 2012 | Pages 39-54
Technical Paper | Safety and Technology of Nuclear Hydrogen Production, Control, and Management / Hydrogen Safety and Recombiners | doi.org/10.13182/NT12-A13546
Articles are hosted by Taylor and Francis Online.
Hydrogen is the major flammable gas observed in the dome space of each million-gallon radioactive waste storage tank at the U.S. Department of Energy Hanford Site. Semiempirical rate equations are derived to estimate hydrogen generation based on chemical reactions, radiolysis of water and organic compounds, and corrosion. The rate equations account for tank waste composition, temperature, radiation dose rate, and liquid fraction. Numerical parameters are established by the analysis of gas generation kinetic data from actual waste samples, literature data, and waste characterization and field surveillance data. The model improvement includes development of refined water radiolysis equations, accounting of total alpha radiation contribution to both water and organic radiolysis, new parameterization on the rate equations of organic thermolysis and radiolysis with extra tank waste gas generation test data, and revised corrosion rate equations. A comparison of the generation rates observed in the field with the rates calculated for 28 tanks shows agreement within a factor of 3. The model serves as a useful tool to evaluate flammable gas issues to support Hanford operations.