Catalytic Performance Data for Copper-Zeolite Catalysts in Dimethyl Ether Steam Reforming

Juan José López Martin's dataset from e-cienciaDatos Harvested Dataverse investigates the role of zeolite structure and acidity in copper-based catalysts for dimethyl ether steam reforming (DME-SR). The data includes performance metrics for four commercial zeolites tested at 400 and 500 °C, with results such as DME conversion up to 95.2% and hydrogen yield up to 43.3%. The dataset was last updated on May 10, 2026.

Use Cases

• Modeling catalyst performance based on zeolite acidity and structure parameters mentioned in the description
• Analyzing the relationship between copper particle dispersion and hydrogen yield as described
• Comparing reaction pathway selectivity (steam reforming vs. hydrocarbon-forming routes) across different catalysts
• Training predictive models for DME conversion using catalyst framework and acidity features

Strengths

• Includes specific quantitative results such as DME conversion of 95.2% and hydrogen yield of 43.3%
• Compares four distinct zeolite structures with defined Si/Al ratios (e.g., 10, 40, 2.6, 45)
• Reports experimental data at two distinct temperatures (400 °C and 500 °C)

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

e-cienciaDatos Harvested Dataverse

Collection Method

Experimental study of catalytic performance, likely containing measured reaction data.

Time Range

Experimental data likely corresponds to the study period, but specific range is not provided.

Freshness

Last updated 2026-05-10 04:10:10; freshness should be verified

Geography

Geographic origin of the data or study is not specified.