Spyroglou, S., & Sanchez Sanchez, M. (2024, September 24). CO2 valorisation via inductive heating: Using supported Fe(Co) nanoparticles as self-heating catalysts [Conference Presentation]. Österreichische Chemietage, Graz, Austria.
E166-03-1 - Forschungsgruppe Katalysatordesign und Reaktionstechnik
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Datum (veröffentlicht):
24-Sep-2024
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Veranstaltungsname:
Österreichische Chemietage
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Veranstaltungszeitraum:
23-Sep-2024 - 25-Sep-2024
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Veranstaltungsort:
Graz, Österreich
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Keywords:
Catalysis; CO2 utilization; nanoparticles; induction heating
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Abstract:
CO2 utilisation to produce CO via the reverse water gas shift (RWGS) reaction has gathered increasing attention in recent years. Fe-based catalysts are an attractive option because of their high thermal stability [1] in addition to their abundance and low cost. The ferromagnetic properties of Fe and FeOx nanoparticles in a relatively large temperature range enable their use as inductive heaters, via hysteresis losses when placed under an alternating magnetic field. The approach of using Fe nanoparticles both for catalysis and induction heating is expected to bring advantages such as the elimination of heat transfer resistances, fast response and the possibility of directly using electricity from renewable sources [2]. The materials studied were synthesized via wet impregnation of commercial supports with iron and cobalt precursors, with a total metallic amount of 20% wt. Activity measurements were carried out in a tube reactor (9 mm internal diameter), in both induction and conventional heating systems. Prior to the reaction, the catalysts were activated in H2 at 550oC in a conventionally heated oven. The tested materials were able to self-heat in the range of 350-600°C and catalyse the RWGS at rates comparable to conventional heating. It was found that doping Fe with Co increases the stability and activity of the catalyst, while maintaining stable heating capability at RWGS-relevant conditions.
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Forschungsschwerpunkte:
Materials Characterization: 30% Sustainable Production and Technologies: 70%