About us

Important feature of this research group is a broad range of activities, from fundamental research of processes and phenomena to application of numerical methods in optimization of utility boiler furnaces and other energy conversion systems.

Main interests of the group focus on mathematical modeling, numerical methods and software development and application for simulation of complex flows, heat and mass transfer and chemical reactions in full-scale energy conversion systems, such as utility boilers and furnaces. Predictions made with such models and codes offer great potential in analysis and optimization of processes to increase energy efficiency, mitigate emissions and improve flexibility of energy systems. Various fields of investigation are covered, such as: turbulence and combustion modeling, modeling of thermal radiation, mathematical modeling of two-phase turbulent flows with heat and mass transfer and chemical reactions, development of user-friendly 3D computer codes and software tools applied to support clean and efficient utilization of solid fuels, problems in renewable energy sources utilization, etc.

In order to comply with up-to-date research in the field, attention is also paid to the application of artificial intelligence (machine learning) methods, as well as development of numerical codes aimed for simulations on GPU computing systems.

Research fields:

• Turbulence & Combustion Modeling
• Thermal Radiation Modeling
• Combustion and Cofiring of Solid Fuels (Biomass, Coal, Waste)
• Numerical Prediction of Multiphase Flows
• CFD Software Development and Application
• GPU Computing Systems – Programing and Codes
• Artificial Intelligence/Machine Learning Models and Methods
• Optimization of Thermal-Flow Processes in Full-Scale Utility Boilers and Furnaces
• Optimization of Thermal-Flow Processes in Full-Scale Utility Boilers and Furnaces
• Clean Coal Technologies, such as:
• primary and secondary (SNCR/SCR) de-NOx measures,
• furnace sorbent injection to mitigate SO2 emission,
• direct cofiring of pulverized biomass with coal.
• Renewable Energy Sources
• Modeling of Premixed Flames
• Numerical Prediction of Nucleate Pool Boiling

Current and future directions and research areas

• Turbulence and combustion modeling

• Thermal radiation modeling

• Numerical Prediction of Multiphase Flows

• CFD software development and application

• Simulation and optimization of energy conversion systems

• Clean coal technologies

• Renewable energy sources

• Machine learning in energy systems

Research equipment

nVidia RTX4000

the nVidia Quadro RTX4000 is graphical accelerator based on the Turning GPU architecture, suitable both for graphical processing, and which is more important, scientific computing on large number of CUDA cores.

Specifications

• 8GB DDR6 GPU memory
• 2304 CUDA cores
• 288 tensor cores
• 36 RT cores
• 416GB/s memory bandwidth
• Single precision performance 7.1 TFLOPS

Wanhao D12/300

3D printer used to create physical models of complex gemoetries during the analysis and preparation phases, followed by the creation of numerical model.

Specifications

• FDM/FFF printing technology
• 300x300x400mm printing volume
• Printing bed temperature up to 100°C
• Nozzle temperature up to 260°C
• Filament diameter 1.75mm
• Nozzle diameter 0.4mm
• Dual extrusion
• Maximum printing speed 150mm/s

Selected group references

The group published over 63  papers in scientific journals indexed in WoS and Scopus bases, and presented more than 101  paper containing research results on international and national conferences, printed in the full paper proceedings or books of abstracts. Selected publications are listed below, while the more complete list of references can be found here. Young researchers successfully completed 5  doctoral thesis while working on project the group participated in. More details on completed thesis can be found can be found here. Results produced during the research over the years were successfully implemented in 7  technical solutions, and 1  patent. Published references and succesfully implemented projects attest to the group strength and quality of the research.