Description
The Department of Energy is seeking proposals for the development and implementation of Open Source Software: SR2ML, 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. The 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.
• 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.
Attached files
The solicitation documents live at the source — open the bid source above to download them.
Contact
Andrew Rankin