Madlen Rogel, M.Sc.


Eißendorfer Str. 40

Building N, Room 1.083

21073 Hamburg

Phone +49 40 30601 - 4627

Mail Madlen Rogel


Biography

Madlen Rogel completed a Bachelor's degree in Energy and Environmental Engineering at Hamburg University of Technology (TUHH), where the final thesis at the Institute of Thermal Process Engineering focused on the processing of industrial tobacco residues using an extraction cascade.

Building on this background, a Master's degree in Renewable Energies was completed at TUHH. The Master's research, conducted at the Institute of Multiphase Flows, dealt with the development of an improved breakup criterion for gas bubbles in stirred reactors.

Currently, Madlen Rogel is pursuing a PhD within the graduate school Climate Informed Engineering, focusing on how climate variations influence the properties of natural raw materials and their processing in energy and biorefinery applications.

Research

The graduate school Climate Informed Engineering at Hamburg University of Technology (TUHH), led by Prof. Dr. Nima Shokri of Institute of Geo-Hydroinformatics, aims to develop engineering solutions that integrate climate data into the design and optimization of diverse systems. As part of this graduate school, this subproject focuses on how climate-driven variations in natural raw materials affect their composition and the efficiency of different extraction processes. Plant species from diverse regions are analyzed to understand how changing climatic conditions influence biomass properties and, consequently, the resulting products.

The project further aims to optimize extraction strategies to enhance yield and quality in ways that are adaptable to different raw materials and climate scenarios. Data analysis and modeling approaches are applied to connect climate information with biomass properties and processing outcomes. Machine learning algorithms are applied to identify correlations between climate data, biomass characteristics, and processing parameters.

Education

Graduate courses:

  • Tutorial on Applications of Fluid Mechanics in Process Engineering (Winter semester 2025/26)

Publications

[192351]
Title: Comprehensive study of 3D liquid flow fields in additively manufactured structures for SMART reactors using large-scale vertical magnetic resonance imaging and computational fluid dynamics.
Written by: Merbach, T.; Adrian, M.; Wigger, C.; Iraqi Houssaini, S.; Bayer, B.; Tsanda, A.; Acikgöz, S.; Weiland, C.; Kexel, F.; Herzog, D.; Hoffmann, M.; Kelbassa, I.; Knopp, T.; Penn, A.; Schlüter, M.
in: <em>Chemical Engineering Journal</em>. (2026).
Volume: <strong>539</strong>. Number:
on pages: 176536
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DOI: https://doi.org/10.1016/j.cej.2026.176536
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Abstract: Triply Periodic Minimal Surface (TPMS) structures have emerged as a new class of porous materials with variable geometries and favourable transport properties, making them promising for reactor internals in chemical engineering. However, experimental data on internal TPMS flow behaviour are still limited. To address this gap, the flow behaviour in additively manufactured TPMS structures is analysed using three-dimensional Magnetic Resonance Imaging (MRI) velocimetry in a large-bore vertical 3 T MRI system, in cylindrical columns of 38 mm diameter and Reynolds numbers between 50 and 300. Three different TPMS geometries are investigated, and consistency between Computational Fluid Dynamics (CFD) simulations and experimentally measured MRI velocity fields is established through cross-validation. The MRI system provides fully three-dimensional velocity fields with a divergence deviation below 4%. MRI revealed distinct flow features: the Gyroid TPnS exhibited pronounced channelling, while the Schwarz-Diamond TPSf showed merge-split behaviour, achieving a 46% increase in lateral mixing compared to the Gyroid TPnS structures. Numerical simulations reproduce the flow features and show agreement with the MRI data. The combined methodology demonstrates the suitability of MRI velocimetry for the experimental validation of CFD simulations and establishes a robust foundation for future studies of heat and mass transfer, as well as reactive flow, in structured reactor systems.