Jakub Mularski
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Assistant Professor
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About
Dr. Jakub Mularski is an Assistant Professor at Wrocław University of Science and Technology in Poland. His research focuses on advanced topics in combustion and gasification, particularly in the context of hydrogen gas turbines and biomass ignition. Notable recent articles include investigations into supercritical combustion, hydrothermal carbonization, and the integration of computational fluid dynamics with machine learning for plasma catalysis. His contributions aim to optimize energy production processes and enhance CO2 utilization in various applications.
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Opracowanie algorytmu modyfikacji kompleksowej modeli empirycznych szybkiej pirolizy i reakcji na powierzchni koksu na potrzeby symulacji procesu zgazowania węgla
Open Date: 2019-02-04
Close Date: 2022-02-03
Articles (15)
Year:
2025
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2025
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2025
The advancement of plasma technology is intricately linked with the utilization of computational fluid dynamics (CFD) models, which play a pivotal role in the design and optimization of industrial-scale plasma reactors. This comprehensive compilation encapsulates the evolving landscape of plasma reactor design, encompassing fluid dynamics, chemical kinetics, heat transfer, and radiation energy. By employing diverse tools such as FLUENT, Python, MATLAB, and Abaqus, CFD techniques unravel the complexities of turbulence, multiphase flow, and species transport. The spectrum of plasma behavior equations, including ion and electron densities, electric fields, and recombination reactions, is presented in a holistic manner. The modeling of non-thermal plasma reactors, underpinned by precise mathematical formulations and computational strategies, is further empowered by the integration of machine learning algorithms for predictive modeling and optimization. From biomass gasification to intricate chemical reactions, this work underscores the versatile potential of plasma hybrid modeling in reshaping various industrial processes. Within the sphere of plasma catalysis, modeling and simulation methodologies have paved the way for transformative progress. Encompassing reactor configurations, kinetic pathways, hydrogen production, waste valorization, and beyond, this compilation offers a panoramic view of the multifaceted dimensions of plasma catalysis. Microkinetic modeling and catalyst design emerge as focal points for optimizing CO2 conversion, while the intricate interplay between plasma and catalysts illuminates insights into ammonia synthesis, methane reforming, and hydrocarbon conversion. Leveraging neural networks and advanced modeling techniques enables predictive prowess in the optimization of plasma-catalytic processes. The integration of plasma and catalysts for diverse applications, from waste valorization to syngas production and direct CO2/CH4 conversion, exemplifies the wide-reaching potential of plasma catalysis in sustainable practices. Ultimately, this anthology underscores the transformative influence of modeling and simulation in shaping the forefront of plasma-catalytic processes, fostering innovation and sustainable applications.
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2024
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2024
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2023
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2023
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2023
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2023
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2023
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2022
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2022
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2021
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2020
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2020
Collaborators (11)
Marcin Baranowski
University of Wrocław
Mateusz Wnukowski
Assistant professor
University of Wrocław
Eddy Bramer
Assistant professor
University of Twente
Jun Li
University Of Strathclyde
Agnieszka Urbanowska
Wrocław University of Scince and Technology
Norbert Modliński
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Kamil Stasiak
University of Gdańsk
Artur Pozarlik
Associate professor
University of Twente
Lukasz Niedzwiecki
University of Wrocław
Michal Ostrycharczyk
University of Wrocław
Mateusz Jackowski
Assistant Professor
Wrocław University of Scince and Technology
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