Simulation, Optimization and Monitoring using AI-based Digital Twin Technology for Incineration Plants
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What?
What?
Building on its recognition in the industrial process control solutions market, ONCONTROL, in cooperation with CEMMPRE- Centre for Mechanical Engineering, Materials and Processes, is advancing this project to transform the typical scenario of biomass combustion control and management by developing an advanced control solution to optimise the operation of incineration plants. The ultimate objective of this technology is to increase the amount of energy per volume of biomass consumed and reduce the maintenance cost of process equipment.
Based on a holistic approach, advanced control technology will be developed and adapted through advanced computing and artificial intelligence methods that enable the digitalisation of the production process in a digital transformation logic, which will allow performance gains and new forms of assistance/support for operator decision-making. Performance gains will be achieved through the automatic control of the process using computational algorithms and supporting operators in task execution decisions, redirecting them to higher value-added activities, contributing to the green transition by promoting more efficient and sustainable processes.
Why?
Why?
The operation of biomass power plants is complex due to the high variability of factors related to biomass, such as moisture content, types, and particle sizes, as well as the condition of equipment, the amount of pollutants produced, etc. The uncertainty regarding operational factors requires a high degree of human intervention in balancing the various process parameters. This model of constant human supervision of industrial processes, spanning multiple production sectors, places the operator in a key role in the performance and efficiency of the processes, inevitably leading to significant inefficiencies.
Main development targets
Main development targets
Modelling of the incineration process
Modelling of the incineration process
Implement all component models necessary for the modeling of the incineration process;
Create a software engine for the modeling of incineration processes;
Use the engine to develop the model of the equipment and the constituent set of the model unit;
Refine and calibrate the created library using real data acquired from the model units.
Development of the intelligent operation management and control system
Development of the intelligent operation management and control system
Implement the hardware interface and data acquisition system;
Implement soft sensors for real-time pollutant monitoring;
Implement a multivariate process control solution based on Fuzzy systems and predictive control combined with the unit's digital twin;
Implement the monitoring tool for visualization.
Development of the predictive maintenance solution
Development of the predictive maintenance solution
Develop a process signature technology;
Develop a technology for anomaly detection through vibration analysis.
Partners
Partners
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