Develops advanced optimization technologies to enhance efficiency in gas turbine power plants, indicating a shift towards autonomous operation.
Key Points
The aim is to create an independent framework for optimizing the operation of gas turbine combined-cycle power plants to enhance efficiency and reliability.
Developed AI-based performance models for power generation and optimization
Implemented a hybrid AI and explainable AI approach for anomaly detection
Designed a unified database for operational record management
Utilized a cloud-based platform for real-time data analysis
Achieved measurable improvements in plant efficiency and heat-rate reduction
Enhanced early fault identification through intelligent prediction models
Established a centralized system for life-cycle performance tracking
Enabled autonomous monitoring and diagnostics, reducing operational costs