Abstract
In gas separation using nanoporous membranes, both operating conditions and membrane properties are key to the process performance. Mathematical modeling is crucial for defining the optimal conditions and properties for the optimization and design of these processes. This research introduces a comprehensive model that integrates surface and pore permeabilities for studying the (PIM-1) membrane performance for H2/N2 separation. The model combines empirical and solution-diffusion models to examine temperature and pressure effects alongside a theoretical approach for assessing how pore size and porosity influence permeability and selectivity. Simulation results indicated that temperature increases from 298 K to 373 K significantly enhanced hydrogen and nitrogen permeability by 13% and 135%, respectively, while the selectivity dropped from 24.6 to 15.3. On the other hand, the pressure effect was less significant compared to the effect. The study also highlighted the critical roles of pore size and porosity in transport mechanisms and membrane performance, showing that increasing the pore size and porosity enhanced permeability and reduced selectivity. Remarkably, PIM-1 membranes with pore sizes of near 1 nm and porosity below 0.1 exceeded the Robeson 2008 upper limit, showcasing improved permeability with good selectivity. This model offers a predictive tool for PIM-1 membrane performance under various conditions, facilitating the design of efficient separation process.
Original language | English |
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Journal | International Journal of Hydrogen Energy |
DOIs | |
State | Accepted/In press - 2024 |
Bibliographical note
Publisher Copyright:© 2024
Keywords
- Hydrogen
- Knudsen
- Membrane
- Permeation
- Pore
- Selectivity
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Fuel Technology
- Condensed Matter Physics
- Energy Engineering and Power Technology