Adsorption and Mass Transport of Methane and Hydrogen in Nanoporous Carbon Membranes - Binary Mass Transport Experiments and Modeling

Abstract This study investigates binary mass transport of methane (CH4) and hydrogen (H2) through carbon-based nanoporous membranes at elevated temperatures. Building upon previous single-component adsorption and permeation measurements, we present new binary permeation experiments conducted up to 220 °C and develop a predictive transport model based on the Maxwell–Stefan (M–S) framework. Initial model predictions underestimated H2 flux, which were resolved by incorporating a confinement correction to account for slit pore geometry and a temperature-dependent scaling factor. These modifications significantly improved model accuracy and alignment with experimental data. The refined model was extrapolated to 500 °C and varying gas compositions to evaluate membrane selectivity under relevant process conditions, thus offering predictive capabilities for membrane-based separations applicable to hydrogen production and carbon utilization.

Authors

Institutions

Publication Details

Journal
Industrial & Engineering Chemistry Research
Published
2026-09-10
DOI
https://doi.org/10.1021/acs.iecr.6c01977
Primary Topic
Membrane Separation and Gas Transport
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Adsorption and Mass Transport of Methane and Hydrogen in Nanoporous Carbon Membranes - Binary Mass Transport Experiments and Modeling

Matthis Kurth, Jens‐Uwe Repke, Suresh K. Bhatia, Gloria M. Monsalve-Bravo
Industrial & Engineering Chemistry Research
Membrane Separation and Gas Transport
article

Adsorption and Mass Transport of Methane and Hydrogen in Nanoporous Carbon Membranes - Binary Mass Transport Experiments and Modeling

Matthis Kurth, Jens‐Uwe Repke, Suresh K. Bhatia, Gloria M. Monsalve-Bravo
article en

Abstract

Abstract This study investigates binary mass transport of methane (CH4) and hydrogen (H2) through carbon-based nanoporous membranes at elevated temperatures. Building upon previous single-component adsorption and permeation measurements, we present new binary permeation experiments conducted up to 220 °C and develop a predictive transport model based on the Maxwell–Stefan (M–S) framework. Initial model predictions underestimated H2 flux, which were resolved by incorporating a confinement correction to account for slit pore geometry and a temperature-dependent scaling factor. These modifications significantly improved model accuracy and alignment with experimental data. The refined model was extrapolated to 500 °C and varying gas compositions to evaluate membrane selectivity under relevant process conditions, thus offering predictive capabilities for membrane-based separations applicable to hydrogen production and carbon utilization.

Industrial & Engineering Chemistry Research
The University of Queensland (AU), Deutsches Biomasseforschungszentrum (DE), Technische Universität Berlin (DE)
Bundesministerium für Ernährung und Landwirtschaft, Advance Queensland
Openalex Percentile: Top 20%
Membrane Separation and Gas Transport
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.