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Dominik Bongartz

Assistant Professor

KU Leuven

Belgium

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About

Dominik Bongartz is an Assistant Professor at KU Leuven in Belgium. His research focuses on electrochemical systems, with recent articles addressing topics such as optimal waste-heat utilization in electrolyzer design, ion exchange models for water electrolysis, and dynamic modeling of electrochemical reactors. Additionally, he explores methodologies for optimal heat pump integration and cost-effective hydrogen refueling station design.

Articles (22)

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Erasmus University Rotterdam

NETHERLANDS

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Alexander Mitsos

RWTH Aachen University

GERMANY

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Peter J. C. Hausoul

GERMANY

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Jürgen Klankermayer

RWTH Aachen University

GERMANY

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Dominik Bongartz

Research Interests

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About

Articles (22)

Cost-optimal design and operation of hydrogen refueling stations with mechanical and electrochemical hydrogen compressors

Rethinking electrolyzer design for optimal waste-heat utilization

Multi-species ion exchange model with competitive adsorption for iron removal in PEM water electrolysis

MUSE-BB: a decomposition algorithm for nonconvex two-stage problems using strong multisection branching

Interpreting Concentration and Activation Overpotentials in Electrochemical Systems: A Critical Discussion

eCherry: A Modelica Library for Modular Dynamic Modelling of Electrochemical Reactors

Data-driven systematic methodology for predicting optimal heat pump integration based on temperature levels and refrigerants

A branch-and-bound algorithm with growing datasets for large-scale parameter estimation

Optimal sizing and operation of electrochemical hydrogen compression

Thermodynamic and Economic Potential of Glycerol Oxidation to Replace Oxygen Evolution in Water Electrolysis

Combustion versus Gasification in Power- and Biomass-to-X Processes: An Exergetic Analysis

Cost-optimal Power-to-Methanol: Flexible operation or intermediate storage?

Power-to-X processes based on PEM water electrolyzers: A review of process integration and flexible operation

Comparison of MINLP formulations for global superstructure optimization

Towards global parameter estimation exploiting reduced data sets

What’s in my fuel tank? Insights into beliefs and preferences for e-fuels and biofuels

Global flowsheet optimization for reductive dimethoxymethane production using data-driven thermodynamic models

Simultaneous deterministic global flowsheet optimization and heat integration: Comparison of formulations

Blend for all or pure for few? Well-to-wheel life cycle assessment of blending electricity-based OME3–5 with fossil diesel

Comparing pathways for electricity-based production of dimethoxymethane as a sustainable fuel

Deterministic global optimization with Gaussian processes embedded

Hydrogen-efficient non-oxidative transformation of methanol into dimethoxymethane over a tailored bifunctional Cu catalyst

Collaborators (12)

Nikolay I. Nikolov

Katrin Arning

Niklas von der Assen

Jannik Burre

Francois Marechal

Bastian Lehrheuer

Matthias Wessling

Martina Ziefle

Angelos Tsoukalas

Alexander Mitsos

Peter J. C. Hausoul

Jürgen Klankermayer

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