Kinetic modeling of the methanol-assisted autocatalytic methanol synthesis on Cu/ZnO/Al2O3

Methanol is of rising interest as a potential hydrogen storage molecule and chemical building block producible from green hydrogen and captured carbon dioxide. Although the reaction kinetics have been studied for decades and numerous models are available, new recent insights reveal that a so far not quantitatively considered autocatalytic reaction pathway is of large relevance in heterogeneously catalyzed methanol synthesis over Cu/ZnO/Al 2 O 3 catalysts. Inspired by these recent reports, an extended kinetic model was derived and parameterized exploiting the same data base used to parameterize earlier derived models. Thus, we provide the first model for quantifying the kinetics of the heterogeneously catalyzed methanol synthesis from CO/CO 2 /H 2 which includes a methanol-assisted autocatalytic reaction pathway. Various reduced model variants were derived from the suggested model. A comparison with these reduced models and also with recalibrated further literature models reveals that the incorporation of the autocatalytic reaction pathway is beneficial. This finding encourages further assessment and validation considering a broader data base. • Heterogeneously catalyzed methanol synthesis on CZA catalysts. • Adding an autocatalytic reaction pathway to the conventional network. • Derivation of reaction rate approaches for all assumed reactions. • Parameter estimation of the kinetic model. • Model comparison with reduced models and literature models.

Authors

Institutions

Publication Details

Journal
Chemical Engineering Journal
Published
2025-06-07
DOI
https://doi.org/10.1016/j.cej.2025.164505
Citations
5
Primary Topic
Catalysts for Methane Reforming
Type
article
Field-Weighted Citation Impact
1.94

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Kinetic modeling of the methanol-assisted autocatalytic methanol synthesis on Cu/ZnO/Al2O3

Johannes Leipold, Andreas Seidel‐Morgenstern, Achim Kienle, Wieland Kortuz
5 citations
Chemical Engineering Journal
Catalysts for Methane Reforming
1.94
article

Kinetic modeling of the methanol-assisted autocatalytic methanol synthesis on Cu/ZnO/Al2O3

Johannes Leipold, Andreas Seidel‐Morgenstern, Achim Kienle, Wieland Kortuz
article en
5 citations

Abstract

Methanol is of rising interest as a potential hydrogen storage molecule and chemical building block producible from green hydrogen and captured carbon dioxide. Although the reaction kinetics have been studied for decades and numerous models are available, new recent insights reveal that a so far not quantitatively considered autocatalytic reaction pathway is of large relevance in heterogeneously catalyzed methanol synthesis over Cu/ZnO/Al 2 O 3 catalysts. Inspired by these recent reports, an extended kinetic model was derived and parameterized exploiting the same data base used to parameterize earlier derived models. Thus, we provide the first model for quantifying the kinetics of the heterogeneously catalyzed methanol synthesis from CO/CO 2 /H 2 which includes a methanol-assisted autocatalytic reaction pathway. Various reduced model variants were derived from the suggested model. A comparison with these reduced models and also with recalibrated further literature models reveals that the incorporation of the autocatalytic reaction pathway is beneficial. This finding encourages further assessment and validation considering a broader data base. • Heterogeneously catalyzed methanol synthesis on CZA catalysts. • Adding an autocatalytic reaction pathway to the conventional network. • Derivation of reaction rate approaches for all assumed reactions. • Parameter estimation of the kinetic model. • Model comparison with reduced models and literature models.

Chemical Engineering JournalVol. 518
Max Planck Institute for Dynamics of Complex Technical Systems (DE), Otto-von-Guericke-Universität Magdeburg (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 14%
Catalysts for Methane Reforming
1.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Kinetic modeling of the methanol-assisted autocatalytic methanol synthesis on Cu/ZnO/Al2O3 — Johannes Leipold, Andreas Seidel‐Morgenstern, et al. · Chemical Engineering Journal (2025) | TGRS Research Map | TGRS