Name | Type | Posted | Actions |
|---|---|---|---|
Download | LINK | Mar 15, 2024 |
Open Source Software: SR2ML: Pioneering Safety and Reliability in Nuclear Plant Management
The Department of Energy, through the Battelle Energy Alliance–DOE CNTR, is showcasing SR2ML (SafetyRiskReliabilityModelLibrary), an open-source software package designed for safety and reliability management in nuclear power plants. Developed at Idaho National Laboratory (INL), SR2ML interfaces with the RAVEN code to facilitate static and dynamic risk analysis, aiming to reduce Operation and Maintenance costs for the U.S. reactor fleet. The software includes a suite of classical reliability models, such as Fault-Trees and Markov, alongside advanced component aging models and machine learning tools to emulate dynamic system behavior and inform preventive maintenance strategies.
This special notice is classified under NAICS 221113, Nuclear Electric Power Generation, and PSC 4470, Nuclear Reactors. The primary focus of this announcement is the commercialization and licensing of intellectual property to industry collaborators, rather than the procurement of goods or services. Performance is centered in Idaho Falls, Idaho, and the notice includes one attachment originally posted in March 2024. Interested parties may provide responses through March 15, 2026.
SR2ML integrates deterministic and stochastic models to predict system failures and accident progressions, providing a unified analysis platform when used with RAVEN and LOGOS. Its applications include streamlining nuclear plant management, conducting economic risk assessments, and optimizing operational guidelines to balance safety with profitability. INL’s Technology Deployment department oversees the licensing of this innovation and does not provide funding or seek external development services through this notice.
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Contact and place of performance
Andrew Rankin
Idaho Falls, ID 83401
USA
Open Source Software: SR2ML: Pioneering Safety and Reliability in Nuclear Plant Management In an industry where safety and efficiency are paramount, SR2ML (SafetyRiskReliabilityModelLibrary) emerges as a transformative software package designed to interface seamlessly with the RAVEN code developed by INL. This powerful toolset enables static and dynamic risk analysis, offering unparalleled insights into system reliab...
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