Closed Solicitation · DEPARTMENT OF ENERGY

    OPEN SOURCE SOFTWARE: SR2ML: PIONEERING SAFETY AND RELIABILITY IN NUCLEAR PLANT MANAGEMENT

    DEPARTMENT OF ENERGY
    Special NoticeIdaho Falls, ID
    Closed
    STATUS
    Closed
    closed Mar 15, 2026
    POSTED
    Oct 31, 2024
    Publication date
    NAICS CODE
    221113
    Primary industry classification
    PSC CODE
    4470
    Product & service classification

    AI Summary

    The Department of Energy is announcing a special notice for the SR2ML (Safety Risk Reliability Model Library), an open-source software initiative aimed at enhancing safety and reliability in nuclear plant management. This software is designed to work in conjunction with the RAVEN code developed by Idaho National Laboratory (INL) and offers both static and dynamic risk analysis capabilities. SR2ML provides a comprehensive suite of models, including classical reliability models such as Fault-Trees and Markov models, as well as advanced aging models for components. These tools facilitate detailed evaluations of system reliability and operational guidelines, ultimately supporting the long-term viability of the U.S

    Contract details

    Notice Type
    Special Notice
    Posted Date
    October 31, 2024
    Response Deadline
    March 15, 2026
    NAICS Code
    221113AI guide
    PSC / Class Code
    4470
    Contract Code
    8900
    Primary Contact
    Andrew Rankin
    State
    ID
    ZIP Code
    83415
    AI Product/Service
    product

    Description

    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 reliability and operational guidelines to enhance the long-term viability of the U.S. reactor fleet.

    As the nuclear power sector strives to remain competitive, reducing Operation and Maintenance (O&M) costs while ensuring safety and reliability has become a critical challenge. Traditional approaches to balance these aspects over decades of operation have laid the groundwork for innovative solutions. SR2ML represents a leap forward, combining classical and cutting-edge models to address these challenges head-on, facilitating a new era of optimized plant management.

    SR2ML provides a comprehensive suite of safety and reliability analysis models, including classical reliability models like Fault-Trees and Markov and advanced components aging models. These models are designed for integration into the RAVEN ensemble for dynamic system reliability analysis and can interface with system analysis codes for detailed failure and accident progression evaluations. Through machine learning and quantitative methods, SR2ML empowers operators with dynamic behavior emulation and decision-making tools, driving down O&M costs while enhancing plant safety and efficiency.

    Advantages

    • Optimized Plant Operations: Enables data-driven decision-making for preventive maintenance and component refurbishment, minimizing O&M costs.
    • Advanced Risk Analysis: Integrates classical and innovative models for comprehensive safety and economic risk assessments.
    • Dynamic System Modeling: Offers deterministic and stochastic models to predict system and component behavior accurately.
    • Cost-Effective Maintenance Strategies: Identifies optimal operational guidelines to balance reliability, safety, and cost-efficiency.
    • Seamless Integration: Designed to work with RAVEN and LOGOS for a unified analysis platform, enhancing decision-making processes.

    Applications

    • Nuclear Plant Management: Streamlining O&M strategies to enhance reliability and safety while reducing costs.
    • Risk Assessment: Conducting detailed risk analysis to inform strategic decision-making regarding plant operations.
    • System Reliability Analysis: Employing dynamic analysis to predict and mitigate potential system failures.
    • Economic Optimization: Integrating economic models to prioritize actions that maximize plant availability and profitability.

    Discover how SR2ML can transform your nuclear plant operations. Download now and learn how integrating SR2ML into your management strategy can lead to safer, more efficient, cost-effective plant operations.

    INL’s Technology Deployment department focuses exclusively on licensing intellectual property and partnering with industry collaborators capable of commercializing our innovations. Our goal is to commercialize the technologies developed by INL researchers. We do not engage in purchasing, manufacturing, procurement decisions, or providing funding. Additionally, this is not a call for external services to assist in the development of this technology.

    Key dates

    1. October 31, 2024Posted Date
    2. March 15, 2026Proposals / Responses Due

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    Frequently asked questions

    OPEN SOURCE SOFTWARE: SR2ML: PIONEERING SAFETY AND RELIABILITY IN NUCLEAR PLANT MANAGEMENT is a federal acquisition solicitation issued by DEPARTMENT OF ENERGY. Review the full description, attachments, and submission requirements on SamSearch before the response deadline.

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