A combined experimental and multiscale modeling approach for the investigation of lab-scale fluidized bed reactors

Journal Article (2023)
Author(s)

Riccardo Uglietti (Politecnico di Milano, TU Delft - ChemE/Product and Process Engineering)

Daniele Micale (Politecnico di Milano)

Damiano La Zara (TU Delft - ChemE/Product and Process Engineering)

Aristeidis Goulas (TU Delft - ChemE/Product and Process Engineering)

Luca Nardi (Politecnico di Milano)

Mauro Bracconi (Politecnico di Milano)

J. Ruud van Ommen (TU Delft - ChemE/Product and Process Engineering)

Matteo Maestri (Politecnico di Milano)

Research Group
ChemE/Product and Process Engineering
DOI related publication
https://doi.org/10.1039/d3re00152k
More Info
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Publication Year
2023
Language
English
Research Group
ChemE/Product and Process Engineering
Issue number
8
Volume number
8
Pages (from-to)
2029-2039
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Abstract

We show the potential of coupling numerical and experimental approaches in the fundamental understanding of catalytic reactors, and in particular fluidized beds. The applicability of the method was demonstrated in a lab-scale fluidized bed reactor for the platinum-based catalytic oxidation of hydrogen. An experimental campaign has been carried out for synthesizing the catalyst powders by means of atomic layer deposition in a fluidized bed reactor and characterizing them. Catalytic testing has been also run to collect data both in fixed and fluidized bed configurations. Then, after the validation of the in-house first-principles multiscale Computational Fluid Dynamic - Discrete Element Method (CFD-DEM) model, the fundamental understanding which can be achieved by means of detailed numerical approaches is reported. Thus, the developed framework, coupled with experimental information, results in an optimal design and scale-up procedure for reactor configurations promising for the energy transition.