A digital twin framework for Generation-IV reactors with reinforcement learning-enabled health-aware supervisory control

Keyphrases

• Advanced Reactors 66%
• Bayesian Filtering 33%
• Bayesian Inference 33%
• Closed-loop Framework 33%
• Complex Engineering Systems 33%
• Conceptual Engineering 33%
• Control Algorithm 33%
• Cost Reduction 33%
• Digital Tools 33%
• Digital Twin 66%
• Digital Twin Framework 100%
• Driving Module 33%
• Enhanced Method 33%
• Flow Restriction 33%
• Flow Temperature 33%
• Fluoride-salt-cooled High-temperature Reactor 33%
• General Applicability 33%
• Generation IV 66%
• Generation IV Reactors 100%
• Governor Control 33%
• Health-aware 100%
• High Frequency System 33%
• High-frequency Measurements 33%
• Investment Cost 33%
• Maintenance Policy 33%
• Maintenance Scheduling 33%
• Measure Data 33%
• Nuclear Plant 33%
• Nuclear Power Plant 33%
• Online Regulation 33%
• Online Self 33%
• Online Simulation 33%
• Operational Efficiency 33%
• Operational Period 33%
• Operational Policies 33%
• Planning Capabilities 33%
• Plant Operation 33%
• Power Generation 33%
• Pump Flow Rate 33%
• Reactor 33%
• Reactor Concept 66%
• Real-world Systems 33%
• Recalibration 33%
• Reference Governor 33%
• Reinforcement Learning 100%
• Safety Reliability 33%
• Self-adjustment 33%
• Shock Capturing 33%
• Short-term Accuracy 33%
• Supervisory Control 100%
• Surrogate Model 33%
• System Constraints 33%
• System Shocks 33%
• Target Power 33%
• Temperature Limitation 33%
• Twin Bridge 33%

Engineering

• Bayesian Filtering 25%
• Boundary Condition 25%
• Closed Loop 25%
• Communication End 25%
• Control Algorithm 25%
• Digital Twin 100%
• Flow Rate 25%
• Flow Velocity 25%
• High Temperature Reactors 25%
• Investment Cost 25%
• Maintenance Planning 25%
• Measurement Data 25%
• Nuclear Power Plant 50%
• Operational Efficiency 25%
• Plant Operation 25%
• Power Generation 25%
• Pump Flow 25%
• Recalibration 25%
• Reinforcement Learning 100%
• Safety Performance 25%
• Streamlines 25%
• Supervisory Control 100%
• Systems Engineering 25%
• Temperature Limit 25%

Chemical Engineering

• Digital Twin 100%
• Reactor Concept 50%
• Reinforcement Learning 100%