Scale- and complexity-reduced models for reduction and oxidation based on reactor networks

For the overall model, scale- and complexity-reduced compartment models must be created in which the reactor volume is divided into functional areas with representative concentrations, temperatures or mixing states.

Project S. Hartl

  • Heterogeneous kinetics and heating rate effects (in reactor networks)
    • Extend the existing reactor network implementation with respect to solid phase and surface reactions (starting with single 0D reactors (representative compartments) before extending this to whole network)
    • Integration of physical models starting with one/two step kinetics for pyrolysis and heterogeneous surface reactions (conversion) (e.g. Single First Order Reaction approach)
    • Extend models with respect to pyrolysis and heterogeneous surface reactions
    • Extend physical models with respect to heating rate effects
    • Consider and validate transport of particles across compartment boundaries
  • Focus on residence times, sensitivities and validity ranges
    • Implementation of additional conservation equations for analysing local and global residence time and turnover behaviour (species and mixture specific)
    • Analyse sensitivities of reactor networks with respect to heat, flow and residence times

Project D. Bothe

  • Scale-reduced modeling of reactive flows using (functional) compartment modeling
    • Method for (semi-)automatic detection of functional compartments in CFD simulations
    • Methods for the analysis and assessment of local mixing quality
    • Development and application of enhanced model network elements e.g. axial dispersion model with anisotropic dispersion
    • Computational analysis of monodisperse particle streams inside prototype reactor elements
  • Numerical modeling of chemically reactive iron particle-laden flows based on population balances
    • Development of population balances for iron particle distribution of different oxidation levels, core/shell dimensions
    • Adaptation and enhancement of existing numerical methods: Monte-Carlo and sectional methods, efficient (direct quadrature) method of moments. Use of OpenFOAM as C++ code platform
    • Computational analysis of polydisperse particle streams inside prototype reactor elements
    • Application to iron particle-laden flows under non-isothermal conditions

Team D. Bothe

Technical University of Darmstadt

Contact

work +49 6151 16-21463

Work L2|06 400
Peter-Grünberg-Str. 10
64287 Darmstadt

Technical University of Darmstadt

Contact

work +49 6151 16-21466

Work L2|06 407
Peter-Grünberg-Str. 10
64287 Darmstadt

Technical University of Darmstadt

Contact

work +49 6151 16-21466

Work L2|06 407
Peter-Grünberg-Str. 10
64287 Darmstadt

Team S. Hartl

Darmstadt University of Applied Sciences

Contact

work +49 6151 16-38573

Work D22 01.13
Holzhofallee 36B
64295 Darmstadt

Hochschule Darmstadt
University of Applied Science

Optische Diagnosemethoden und erneuerbare Energien

Darmstadt University of Applied Science

Contact

work +49 6151 16-30204

Work D22 01.13
Holzhofallee 36b
64295 Darmstadt