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.

High resolution performance model publishing results in real-time to OSI Pi system
Five closed-loop control modules that automate optimal control actions across the plant
Two modules for recommending improved trading and maintenance decisions