Our platform provides a sophisticated multi-objective optimization control system designed for high-performance industrial applications. By employing advanced control theory, we significantly improve the efficiency and response time of boiler-turbine systems, as demonstrated through our control strategy for a 160 MW boiler-turbine model.
The «Energy source selection and efficient energy management» module helps balance steam generation and consumption across multiple boilers. It analyzes real-time and forecasted demand, as well as the operational characteristics of each boiler, to determine the most efficient operating configuration. When forecasted demand exceeds available capacity, it schedules the activation of an additional boiler while accounting for startup delay.
Our platform provides energy consumption forecasts for a plant, where each workshop can have its own customized forecasting model. The interface allows managers and operators to gain a comprehensive view of the enterprise’s energy consumption and control it through a unified monitoring dashboard.
Our platform uses multi-objective optimization (MOO) methods to control a seven-degree-of-freedom (7DOF) robotic manipulator. This approach ensures precise end-effector positioning by balancing multiple objectives, including cost minimization and transition speed maximization.
With MOO, users achieve high efficiency and optimal control, performing complex tasks with increased accuracy and performance.
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A set of tasks is being addressed:
- Optimization of ore concentrate roasting regimes to intensify oxidation reactions of particles before the material proceeds to subsequent processing.
- Monitoring and stabilization of the overpressure.
- Environmental improvement by reducing the concentration of harmful sulfur oxides in exhaust gases.
In complex multi-boiler systems, it’s easy to assume that you’re already operating at optimal efficiency. The load is distributed, steam demand is met, and the system is stable.
But stability does not equal optimality.
Our software analyzes the entire boiler system as a single organism, rather than a collection of individual units. We take into account real operational data, efficiency behavior at partial loads, fuel consumption, and steam demand, then mathematically determine the truly optimal operating mode.
