Entergy Nuclear using DS technology
JACKSON — Dassault Systèmes (DS) announced that Entergy Corp. is leveraging Dassault Systèmes solutions for 3D digital modeling, planning, and simulation of maintenance tasks.
At Entergy’s Waterford 3 plant near New Orleans, the company simulated multiple maintenance projects using solutions from DS. Projects included analyzing the impact of a potential fire on equipment located in key areas of the plant, replacing the in-core instrumentation sensor system that monitors reactor fuel conditions, and removing and replacing a reactor coolant pump motor that weighs 57 tons.
Entergy implemented a combination of DS technologies to prepare for these upcoming maintenance tasks, including CATIA for modeling the plant and DELMIA to simulate the actual project work. To ensure the team had accurate dimensions of the plant, Entergy used scanning and digital photogrammetry from DS partner Areva NP. BCP Engineers & Consultants served as the prime contractor for the projects. Entergy plans to use ENOVIA from DS in the future for managing assets and engineering projects.
Modeling and simulating the replacement of the reactor coolant pump motor was particularly important since any unanticipated delays during the project could cost as much as $1 million per day in replacement power purchased from other utility companies.
“Harvesting the use of 3D along with laser scanning technology is as transformational to the engineering and project management disciplines as moving from the slide rule to calculators was in the late 1960s and early ’70s,” said John Mahoney, innovations leader for Entergy’s Nuclear Operations, which is based in Jackson. “Combining scanning and modeling with up-to-date, advanced planning allows processes that could dramatically reduce the old industry-wide steam generator replacement average of 78.5 days. In some cases, that time could be reduced by nearly 20%.”
In the future, Entergy hopes to link the project schedule activities to the 3D model, which will provide the opportunity to continue to effectively shrink outage schedules through critical path scenario optimization.
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