Dresden 2026 – scientific programme
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DY: Fachverband Dynamik und Statistische Physik
DY 28: Fluid Physics and Turbulence
DY 28.3: Talk
Tuesday, March 10, 2026, 14:45–15:00, ZEU/0118
Physics-based reduced order modeling of complex chemical reactors — •Lisanne Gossel1, Leon L. Berkel2, Maira Gauges2, Paul Brand1, Mathis Fricke1, Christian Hasse2, Alessandro Stagni3, Hendrik Nicolai2, Dieter Bothe1, and Tiziano Faravelli3 — 1Mathematical Modeling and Analysis, Technical University of Darmstadt, Darmstadt, Germany — 2Simulation of Reactive Thermo-Fluid Systems, Technical University of Darmstadt, Darmstadt, Germany — 3CRECK Modeling Group, Politecnico di Milano, Milan, Italy
Understanding and predicting observables in complex reacting flows is crucial for many applications related to the clean energy transition. We are interested in describing chemical reactors with detailed, often multiphase chemistry including thousands of reactions. While detailed understanding of the fluid physics can be gained by highly-resolved numerical models of the reactors, i.e., different types of Computational Fluid Dynamics (CFD) simulations, these usually rely on strongly simplified chemistry models to retain computational tractability. On the other hand, we use a physics-based reduced order method that allows to complement CFD by detailed chemistry computations. This is achieved by describing the reactor by a network of modeling components representing certain states of the reactor. The talk will focus on recent achievements in the development of algorithms for creating these network models based on prior CFD results. We discuss the roles of model consistency and defining proper trade-offs between model ac- curacy and complexity.
Keywords: Fluid dynamics; Reactive flow; Multiphase flow; Computational methods; Reduced order modeling