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Exelon Corporation

Exelon Corporation optimizes the maintenance of its nuclear power plants with AVEVA PI System

Exelon Corporation, the largest nuclear operator in the United States, faces continuous price pressure from natural gas and renewables, while putting the safety of communities and workers at the heart of its priorities. The challenge was to collect data faster and give engineers and operators a shared reference for critical decisions. Deploying AVEVA PI System transformed the group's diagnostic process: teams now have a common, automatically populated dataset, freeing them from data collection so they can focus on analysis and decision-making. The shift to condition-based maintenance delivered a 20% reduction in maintenance volumes by directing work to the assets that actually need it. Exelon is thus strengthening its economic competitiveness while maintaining the safety standards specific to the nuclear industry.

Objectives

  • 10% reduction in engineering workload
  • Reduced data latency
  • Better analytics capabilities

Solutions

  • AVEVA PI System

Results

  • 20% reduction in maintenance by switching to condition-based maintenance, less time spent on data collection, and more time on analysis.

Testimonials

"Time is running out. The sooner you find out there's a problem, the sooner you can do something."
Mohammed Yousef
Process Control Engineer, STM

FAQ

How is AVEVA PI System transforming diagnostics at a nuclear power plant?
Exelon, the largest nuclear operator in the United States, uses AVEVA PI System to provide engineers and operators with a common, automatically populated data set. The platform frees teams from time-consuming data collection and allows them to focus on analysis and decision-making. In an environment where safety is the top priority, this faster diagnosis strengthens both operational reliability and economic competitiveness in the face of pressure from natural gas and renewables.
Why is reducing data latency critical in the nuclear industry?
At a nuclear power plant, every second counts when assessing equipment condition and making the right decisions. AVEVA PI System collects and structures data in near real time, eliminating the delays associated with manual collection or one-off extractions. This reduced latency allows Exelon's engineers to detect deviations more quickly, anticipate corrective actions and maintain the very high level of safety specific to the sector. Real-time data becomes a pillar of nuclear operational excellence.
How can the nuclear sector move to condition-based maintenance?
Thanks to AVEVA PI System, Exelon moved from systematic scheduled maintenance to condition-based maintenance driven by the actual condition of equipment. Teams now work on the assets that really need it, based on trend analysis and operating signatures. The result: a 20% reduction in maintenance volumes, with reliability maintained or even improved. It is a major change in a sector historically built around highly prescriptive and costly programs.
What benefits does a data-driven approach bring to nuclear engineers?
At Exelon, AVEVA PI System reduced engineers' workload by 10% by automating data collection and formatting. Teams now spend more time on analysis, diagnostics and innovation, and less time hunting for data scattered across heterogeneous systems. This improvement in quality of working life goes hand in hand with better talent retention, a critical issue in a sector where specialized technical skills are rare and strategic.
How can nuclear power remain competitive against natural gas and renewables?
The economic competitiveness of nuclear power depends on reducing operating costs while preserving safety. AVEVA PI System contributes through condition-based maintenance (?20%), predictive analytics and freeing up engineers' time (?10%). These cumulative gains allow Exelon to stay competitive in the face of continued pressure from natural gas and renewables. It demonstrates that digital transformation has become a matter of economic survival, including for established operators with highly capital-intensive assets.