Name | Type | Posted | Actions |
|---|---|---|---|
Download | LINK | Mar 15, 2024 |
Open Source Software: SR2ML: Pioneering Safety and Reliability in Nuclear Plant Management
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...
View moreThe Battelle Energy Alliance, acting on behalf of the Department of Energy, has issued a special notice regarding the availability of SR2ML (SafetyRiskReliabilityModelLibrary), an open-source software package designed for nuclear plant management. Developed at the Idaho National Laboratory (INL) in Idaho Falls, ID, the software interfaces with the RAVEN code to facilitate static and dynamic risk analysis. It integrates classical reliability models, such as Fault-Trees and Markov, with advanced component aging models to optimize plant operations, reduce maintenance costs, and enhance the long-term viability of the U.S. reactor fleet.
This opportunity is classified under NAICS 221113, Nuclear Electric Power Generation, and PSC 4470, Nuclear Reactors. The SR2ML toolset utilizes machine learning and quantitative methods to emulate dynamic system behavior, allowing operators to conduct comprehensive safety and economic risk assessments. The software is intended to assist in data-driven decision-making for preventive maintenance and component refurbishment, prioritizing actions that maximize plant availability and profitability.
The INL Technology Deployment department is focused on licensing this intellectual property and partnering with industry collaborators for commercialization. The agency does not provide funding, purchase services, or seek external development assistance through this notice. Interested parties may reference solicitation number 6bd414fb0d774ef6af3a5f16ca38293c, and the response deadline is March 15, 2026. One attachment was posted in support of this notice on March 15, 2024.
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