Welcome to the website of the
BME Combustion Research Group
One step towards a sustainable future
Pollutant emission and fossil fuel utilization greatly contribute to climate change. Due to our immense energy demand, it is impossible to switch into green energy sources immediately. Therefore, the best solution is improving our technologies and expand it towards renewable energy carriers.
Combustion is a rather challenging field since it involves chemical reactions, thermodynamics, fluid dynamics, and acoustics – all linked together. Regardless of this complexity, we are using fire for thousands of years with success.
Numerical modeling of distributed combustion without air dilution in a novel ultra-low emission turbulent swirl burner
Dániel Füzesi, Milan Malý, Jan Jedelský, Viktor Józsa
Dynamics and emission of nearly flameless combustion of waste cooking oil biodiesel in an ultra-low emission non-MILD swirl burner
Viktor Józsa, Gyöngyvér Tóthpálné Hidegh, Dávid Csemány, Réka Anna Kardos, Cheng Tung Chong
Comparison of volatility characteristics and temperature-dependent density, surface tension, and kinematic viscosity of n-butanol-diesel and ABE-diesel fuel blends
Dávid Csemány, Osama DarAli, Syed Ali Hamza Rizvi, Viktor Józsa
Distributed combustion of diesel–butanol fuel blends in a mixture temperature-controlled burner
Mohammad Darwish, Gyöngyvér Hidegh, Dávid Csemány, Viktor Józsa
BSc, MSc, and semester projects
The CRG is open for all students for projects and theses in the field of combustion. Due to its complexity, solid basic knowledge of heat engines and combustion is advised.
Scientific Conference of Students
There is a unique opportunity in Hungary for all university students to compete in a scientific conference in each November either alone or in a group. The national round is organized in odd years.
Members of CRG are involved in teaching several subjects. These are focusing on thermodynamics and heat transfer, steam and gas turbines, combustion, measurements in energy, heat engines, diagnostics, and numerical methods.