Central Coast, NSW,
Australia
Coal-fired power station,
privately-owned
SentientSystem has been deployed as a platform for Real-time Optimisation (RTO) on power stations around the world. Our customers use the platform to capture and operationalise plant knowledge and operations experience as RTO Modules that take control actions that optimise the plant’s operation. This ensures that best-practice decision making is automated to reduce costs and increase capacity.
Objectives
✓ Apply advanced control actions
✓ Increase system performance
✓ Increase awareness of opportunities and risks
Key Outcomes
✓ Reduced operating costs and greenhouse gas emissions through real-time optimisation of boiler, filter and condenser cleaning activity
✓ Improved combustion efficiency through real-time optimisation of air and fuel controls
✓ Real-time decision support used by operators, engineers, traders and managers
SentientSystem calculates the station’s working efficiency using a real-time, whole-of-plant simulation running on instrumented data.
It then learns the cause and effect that operator control points have on system efficiency.
Optimisation algorithms are then applied to maximise whole-of-system efficiency by modifying operator control points subject to constraints.
✓
✓ Five closed-loop control modules that automate optimal control actions across the plant
✓ Two modules for recommending improved trading and maintenance decisions
