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Development of a CFD-DEM Model for a 1 MWth Chemical Looping Gasification Pilot Plant Using Biogenic Residues as
Christoph Graf1, Florian Coors1, Falko Marx1
1Institute for Energy Systems and Technology, Department of Mechanical Engineering, Technical University Darmstadt, Otto-Berndt-Str. 2, 64287 Darmstadt, Germany.
Summary
This study presents a 3D CFD-DEM model for chemical looping gasification (CLG) of biomass. The model accurately predicts reactor performance, offering a scalable approach for nitrogen-free syngas production.
Area of Science:
- Chemical Engineering
- Thermodynamics
- Fluidized Bed Reactors
Background:
- Chemical looping gasification (CLG) offers a cost-effective route to nitrogen-free syngas via in situ air separation.
- Existing CLG models are predominantly lab-scale or 1D, limiting application to larger industrial processes.
Purpose of the Study:
- To develop and validate a 3D Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) model for a 1 MWth fuel reactor in CLG.
- To simulate the conversion of solid biomass feedstocks, including woody biomass and wheat straw.
Main Methods:
- A coarse-grained CFD-DEM approach was employed with a simplified reaction network to manage computational demands.
- The Eulerian-Eulerian Multiphase (EMMS) drag model was utilized for hydrodynamics.
- Simulations were validated against experimental data from a 1 MWth CLG reactor.
Main Results:
- The model accurately predicted pressure profiles (mean error <10%) and achieved good agreement for carbon conversion and oxygen carrier oxidation (mean deviation <5%).
- Gas composition predictions showed reasonable accuracy (mean error <8%).
- Discrepancies in gas composition and temperature profiles suggest areas for model refinement, particularly in the pyrolysis step.
Conclusions:
- The developed 3D CFD-DEM model provides a reliable tool for simulating large-scale CLG processes.
- The model demonstrates good predictive capability for key performance indicators, supporting the design and optimization of CLG reactors.
- Further refinement of the pyrolysis sub-model is recommended for enhanced accuracy.

