Dr.-Ing. Łukasz Antczak

Research, Development and Implementation Director

Marek Bergander, D.Sc.

Kamil Kasprzyk, M.Sc.

PhD student (Silesian University of Technology in Gliwice)

Piotr Klimaszewski, M.Sc.

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

Łukasz Jędrzejewski, M.Sc.

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

Mikołaj Mastrowski, M.Sc.

PhD student (Silesian University of Technology in Gliwice)

Dawid Zaniewski, M.Sc.

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

Publications by our staff:

R&D

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

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R&D

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

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R&D

Performance of the honeycomb type sealings in organic vapour microturbines

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R&D

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

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R&D

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

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R&D

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

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R&D

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

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R&D

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

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R&D

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

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R&D

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

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R&D

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

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R&D

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

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R&D

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

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R&D

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

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Reports:

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

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

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