B+R - Marani

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R&D

Dr.-Ing. Łukasz Antczak

Research, Development and Implementation Director

antczak@marani.pl

Marek Bergander, D.Sc.

bergander@marani.pl

Kamil Kasprzyk, M.Sc.

PhD student (Silesian University of Technology in Gliwice)

kasprzyk@marani.pl

Piotr Klimaszewski, M.Sc.

PhD student (Institute of Fluid-Flow Machinery, Polish Academy of Sciences, Gdansk)

klimaszewski@marani.pl

Łukasz Jędrzejewski, M.Sc.

PhD student (Institute of Fluid-Flow Machinery, Polish Academy of Sciences, Gdansk)

jedrzejewski@marani.pl

Mikołaj Mastrowski, M.Sc.

PhD student (Silesian University of Technology in Gliwice)

mastrowski@marani.pl

Dawid Zaniewski, M.Sc.

PhD student (Institute of Fluid-Flow Machinery, Polish Academy of Sciences, Gdansk)

zaniewski@marani.pl

Publications by our staff:

Streamlined refrigeration systems - Prototype solution for waste heat conversion to cooling capacity.

Impact of rotor geometry optimisation on the off-design ORC turbine performance

Performance of the honeycomb type sealings in organic vapour microturbines

Organic Rankine cycle turbogenerator cooling - Optimization of the generator water jacket heat exchange surface

A case study of working fluid selection for a small-scale waste heat recovery ORC system

Comparison of an impulse and a reaction turbine stage for an ORC power plant

Selection of the oil-free bearing system for a 30 kW ORC microturbine

Selection of working medium for low-temperature ORC based on thermodynamic, economic and environmental criteria

Experimental validation of the theoretical ejector model in a low-grade waste heat refrigeration system using R1233zdE as a working fluid - ScienceDirect

Experimental assessment of the first industrial implementation of ejector refrigeration system operating with R1233zd(E) driven by ultra-low temperature heat source

Optimisation of the design and operating parameters of an ORC power plant fuelled by waste heat from industrial processes

Theoretical analysis and experimental tests of tilting pad journal bearings with shoes made of polymer material and low-boiling liquid lubrication

Energy savings possibilities gained from neural network application in compressed air supervisory control systems

Prediction of Compressed Air Demand Depending on the Type of Production with the Use of Neural Networks

Reports:

Evaluation of low-temperature waste heat recovery technologies in industry.
Report prepared in 2021 for the US Department of Energy.

Scientific collaboration:

- Institute of Fluid-Flow Machinery, Polish Academy of Sciences, Gdansk
- Bialystok University of Technology Institute of Heat Engineering in Bialystok
- Silesian University of Technology Institute of Heat Engineering in Gliwice
- Silesian University of Technology, Department of Automatic Control and Robotics, Faculty of Automatic Control, Electronics and Computer Science in Gliwice
- Łukasiewicz Research Network - Institute of Electrical Drives and Machines KOMEL in Sosnowiec