KOCIOŁ PYŁOWY (Pulverized Fuel Boiler)

Development of an automatic system based on artificial intelligence to improve boiler efficiency for variable loads, acronym KOCIOŁ PYŁOWY.

The project aims to address the energy sector’s challenge of improving boiler efficiency across a wide load range. Increasing the flexibility of coal-fired units is crucial, as they are increasingly taking on a regulatory role in the system.

The project aims to develop an autonomous system responsible for dosing a liquid combustion process modifier into the pulverized fuel pipeline of the boiler. Control of the dosing system will be based on its own:
– coal dust fineness measurement system,
– set of flame scanners.
To achieve the goal, it is necessary to conduct research and development (R&D) work. Initially, this will involve installation work on real facilities, including the installation of a vision and measurement module for coal dust fineness, and conducting baseline measurements to determine the boiler’s input parameters at selected load levels.

This task requires selecting the appropriate measurement geometry for the installed modules. Key considerations include the selection and positioning of the triboelectric probe along with the associated components of the module. Proper placement of flame scanners and selection of their operating parameters are also essential. Based on input and output data obtained at various boiler load levels, work will proceed to prepare a model for the combustion intensification system controller using artificial intelligence.
In process control, AI techniques will be employed, including machine learning, fuzzy logic, and artificial neural networks. The controller model, once converted into a prototype, will undergo functional and engineering testing. After the installation of the system with the controller, calibration will be conducted. The next task will involve performing operational tests on the boiler and verifying the dosing efficiency of the modifier using reference methods.

Project value: 9,967,305.10 PLN
European Funds contribution: 7,901,480.10 PLN