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Kinetic modeling and optimization of the methanol and dimethyl ether synthesis

Lacerda de Oliveira Campos, Bruno ORCID iD icon 1; Wild, Stefan 1; Pitter, Stephan ORCID iD icon 1; Sauer, Jörg ORCID iD icon 1; Herrera Delgado, Karla ORCID iD icon 1
1 Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT)

Abstract:

Introduction
An increasingly relevant alternative to deal with the fluctuating nature of solar and wind power plants is to spend the excess power generation in water electrolysis, and further convert the produced hydrogen to secondary energy carriers or added-value chemicals [1]. In this desired route, methanol and dimethyl ether (DME) are key intermediates.
The catalyst mixture of Cu/ZnO/ZrO2 (CZZ), for methanol synthesis from syngas, and ferrierite (FER), for methanol dehydration, is highly active for both CO-rich and CO2-rich feeds [2]. In order to optimize and scale-up the CZZ/FER system, accurate kinetic models are necessary, which, to the best of our knowledge, are not available in literature yet. In this contribution, a kinetic model for the methanol synthesis [3] and the methanol dehydration to DME is developed, validated experimentally, and used for the optimization of the catalyst bed composition.

Methodology
The CZZ was prepared by a continuous co-precipitation method at KIT [4]. Experiments were performed in a plug flow reactor filled with 4.2 mL of a catalyst mixture between CZZ and a commercial ferrierite (i.e.H-FER 20). ... mehr


Zugehörige Institution(en) am KIT Institut für Katalyseforschung und -technologie (IKFT)
Publikationstyp Poster
Publikationsdatum 18.07.2022
Sprache Englisch
Identifikator KITopen-ID: 1000160625
HGF-Programm 38.03.02 (POF IV, LK 01) Power-based Fuels and Chemicals
Veranstaltung Annual Meeting on Reaction Engineering and ProcessNet Subject Division Heat and Mass Transfer (2022), Würzburg, Deutschland, 18.07.2022 – 20.07.2022
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