Dr. Anna Sciazko
Lecturer
The University of Tokyo
My research focuses on fuel processing and efficient energy technologies, with an emphasis on technological, environmental, and social impacts. The main topics of research are the production and utilization of hydrogen and synthetic fuels, hydrogen economy and porous structures in energy devices. I develop the machine learning methods dedicated for energy engineering applications with particular interest in physics informed neural networks.
I hold degrees in Conventional and Renewable Energy Engineering and Computer Science, enabling a multidisciplinary approach. I have published 43 journal papers, 26 refereed conference proceedings, delivered 4 invited talks, and filed 2 patent applications. My work has been presented at 83 conferences, and I've participated in 10 funded projects across institutions like the University of Iceland, EPFL (Switzerland), Kyoto University and the University of Tokyo.
Research Focus Areas
Fuel Cells and Electrolysis Cells
1. Electrode Microstructure: Focused on the fabrication and evaluation of multi-phase porous electrodes for Solid oxide fuel cells (SOFC) and electrolyzers (SOEC), optimizing structures and understanding degradation.
2. Stack and System Studies: Explored SOFC thermal management, repowering methods, and innovative stack cooling techniques.
Fuel Processing and Reaction Kinetics
1. Methane Steam Reforming: Developed accurate kinetic models for methane steam reforming over nickel catalysts, optimizing reactor performance.
2. Lignite Drying and Power Generation: Investigated lignite drying kinetics in superheated steam, assessing its use in Integrated Gasification Combined Systems.
Machine Learning in Energy Engineering
1. Microstructures:
- Developed deep learning algorithms for high-resolution image analysis and 3D studies of porous materials.
- Predicted material degradation using advanced neural networks.
2. Optimization and Surrogate Modeling: Utilized genetic algorithms and neural networks to optimize fuel cell performance and energy systems.
