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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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From uncertainty to vitality: The future of nuclear energy in Illinois
Nuclear is enjoying a bit of a resurgence. The momentum for reliable energy to support economic development around the country—specifically data centers and AI—remains strong, and strongly in favor of nuclear. And as feature coverage on the states in the January 2026 issue of Nuclear News made abundantly clear, many states now see nuclear as necessary to support rising electricity demand while maintaining a reliable grid and reaching decarbonization goals.
Educational Session|Panel|Plant Reliability
Tuesday, August 9, 2022|3:30–5:00PM EDT|Banyan 2
Session Chair:
Ray Herb (SNC)
Track Organizer:
Emmett Wilmes (MPR)
Knowledge Manager:
Ashley Bridgmon (Southern Co.)
Improving equipment reliability is a key objective for most utility enterprise strategies. With the ongoing concerns of aging plant components, there is pressure to effectively spend maintenance dollars to maintain reliability goals. Digital modernization provides the opportunity to fundamentally re-evaluate the concept of maintenance for a nuclear facility through data governance and data democratization. One important tool is through effective use of Performance Monitoring and Diagnostics (PM&D) Centers. PM&D Centers provide a window into the condition of the plant, advanced warning for challenges to plant reliability, while supporting efforts to reduce maintenance costs. This can support condition-based maintenance (CBM) efforts by utilizing advanced technology, data analytics, and subject matter experts to assist in early issue identification, diagnosis, and elimination of equipment performance issues. Additionally, how we use plant data from modernization efforts can streamline analysis and support innovative technologies such as digital twins and advanced prognostics. This panel will explore current and future uses of PM&D center technology and how utilization of equipment monitoring and data analytics enhance the identification, diagnosis, and elimination of plant and equipment performance issues. Panelists will provide overview of their facility’s capabilities and examples of ‘catches’ as well as plans for effective use and dissemination of plant equipment data.
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