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Computational Modeling of Iron-oxide Pellets Reduction Using H2 in a Fixed Bed

Ali, Mohammed Liaket und Fradet, Quentin und Riedel, Uwe (2023) Computational Modeling of Iron-oxide Pellets Reduction Using H2 in a Fixed Bed. In: Proceedings of the 6th European Steel Technology and Application. 6th European Steel Technology and Application Days (ESTAD), 2023-06-12 - 2023-06-16, Düsseldorf, Germany. (nicht veröffentlicht)

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Kurzfassung

Full-fledged computational modeling of Direct Reduction (DR) reactors encompasses single-pellets models and the step-wise scaling-up to industrial-scale reactors. The specific focus lies here on the scale-up from a single iron ore pellet to a fixed-bed reactor model. However, challenges include the generation of synthetic packed-bed structures due to cost limitations, difficulties in generating good quality mesh for multi-pellet beds, and the cost-intensiveness of scaling up to a Computational Fluid Dynamics (CFD) environment. Furthermore, the correct modeling of transport and kinetics-related processes for a single pellet is a prerequisite for a meaningful scale-up. This has not yet been demonstrated. Therefore, in this work, the chemistry and transport data for the reduction of single iron oxide pellets with hydrogen (H2), obtained from a previously developed 1D solid porous model, will be used. The purposes of this article are (1) Proposing a CFD model that reproduces single-pellet reduction experiments with H2 for a wide range of experimental conditions in a 3D-CFD environment. (2) Computationally generating a random packing of 212 industrial pellets (0.5 kg) by applying the discrete element method (DEM) to simulate a lab-scale fixed-bed reactor. (3) Creating a 3D-domain, based on the particle position data from the previous step, and meshing the pellets and the voids among them in different refinement levels. (4) Reproducing a multipellet fixed-bed experiment with pure H2 from the literature. (5) Investigating the effects of temperature variations in the bed. In this way, the concept of scaling up to multi-pellet fixed-bed simulations with H2 are demonstrated successfully.

elib-URL des Eintrags:https://elib.dlr.de/204608/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Computational Modeling of Iron-oxide Pellets Reduction Using H2 in a Fixed Bed
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Ali, Mohammed LiaketMohammed.Ali (at) dlr.dehttps://orcid.org/0000-0002-9314-0402NICHT SPEZIFIZIERT
Fradet, QuentinQuentin.Fradet (at) dlr.dehttps://orcid.org/0000-0003-4968-8494NICHT SPEZIFIZIERT
Riedel, UweUwe.Riedel (at) dlr.dehttps://orcid.org/0000-0001-8682-2192NICHT SPEZIFIZIERT
Datum:Juni 2023
Erschienen in:Proceedings of the 6th European Steel Technology and Application
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:nicht veröffentlicht
Stichwörter:Fixed-bed, CFD, Iron oxide pellet, Hydrogen, Direct reduction process
Veranstaltungstitel:6th European Steel Technology and Application Days (ESTAD)
Veranstaltungsort:Düsseldorf, Germany
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:12 Juni 2023
Veranstaltungsende:16 Juni 2023
HGF - Forschungsbereich:Energie
HGF - Programm:Materialien und Technologien für die Energiewende
HGF - Programmthema:Thermische Hochtemperaturtechnologien
DLR - Schwerpunkt:Energie
DLR - Forschungsgebiet:E SP - Energiespeicher
DLR - Teilgebiet (Projekt, Vorhaben):E - Dekarbonisierte Industrieprozesse
Standort: Cottbus , Zittau
Institute & Einrichtungen:Institut für CO2-arme Industrieprozesse
Institut für CO2-arme Industrieprozesse > Kohlenstoffarme Reduktionsmittel
Hinterlegt von: Fradet, Dr. Quentin
Hinterlegt am:11 Jun 2024 12:46
Letzte Änderung:13 Jun 2024 12:31

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