![Profile photo: dr hab. inż. Marek Dzida](/assets/marek-dzida,2932-1/photo.png)
dr hab. inż. Marek Dzida
Employment
- Pełnomocnik Rektora ds gospodarki morskiej at Gdańsk University of Technology
- Pełnomocnik Rektora ds. żeglarstwa at Gdańsk University of Technology
- Associate professor at Institute of Ocean Engineering and Ship Technology
Business contact
- Location
- Al. Zwycięstwa 27, 80-219 Gdańsk
- Phone
- +48 58 348 62 62
- biznes@pg.edu.pl
Social media
Contact
- dzida@pg.edu.pl
Associate professor
- Institute of Ocean Engineering and Ship Technology
- Faculty of Mechanical Engineering and Ship Technology
- Workplace
- Budynek Wydziału Oceanotechniki i Okrętownictwa pokój 132
- Phone
- (58) 347 21 35
Publication showcase
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Application of Thermo-chemical Technologies for Conversion of Associated Gas in Diesel-Gas Turbine Installations for Oil and Gas Floating Units
The paper considers the issue of thermo-chemical recovery of engine’s waste heat and its further use for steam conversion of the associated gas for oil and gas floating units. The characteristics of the associated gas are presented, and problems of its application in dual-fuel medium-speed internal combustion engines are discussed. Various variants of combined diesel-gas turbine power plant with thermo-chemical heat recovery are...
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Understanding Fuel Saving and Clean Fuel Strategies Towards Green Maritime
Due to recent emission-associated regulations imposed on marine fuel, ship owners have been forced to seek alternate fuels, in order to meet the new limits. The aim of achieving low-carbon shipping by the year 2050, has meant that alternative marine fuels, as well as various technological and operational initiatives, need to be taken into account. This article evaluates and examines recent clean fuels and novel clean technologies...
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Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
Biochar is emerging as a potential solution for biomass conversion to meet the ever increasing demand for sustainable energy. Efficient management systems are needed in order to exploit fully the potential of biochar. Modern machine learning (ML) techniques, and in particular ensemble approaches and explainable AI methods, are valuable for forecasting the properties and efficiency of biochar properly. Machine-learning-based forecasts,...
Obtained scientific degrees/titles
-
2000-11-21
Obtained science degree
dr hab. inż. Mechanical engineering (Technology) -
1983-05-31
Obtained science degree
dr inż. Mechanical engineering (Technology)
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