Improving Breakthrough Curve Calculations in Dynamic PSA Processes Through a Rigorous Cubic State Equation

This study evaluates the improvement of numerical accuracy in the PSA model for ethanol dehydration using molecular sieves. By incorporating cubic state equations for vapor density determination, significant errors were identified when applying the ideal gas assumption to the ethanol–water mixture, particularly under moderate pressure conditions. The integration of the Peng–Robinson equation demonstrated a 5–10% improvement in calculation accuracy compared to the ideal gas law. This enhancement is crucial for achieving reliable predictions under non-ideal conditions, enabling more accurate estimations of real process dynamics across varying scenarios. Notably, improved accuracy in the PSA model is essential for designing more efficient and reliable industrial applications, especially at moderate pressures. The results indicate that the Peng–Robinson equation provides a more accurate representation of the density of the ethanol–water vapor mixture, contributing significantly to more accurate simulation results of the PSA process.

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Publication Details

Journal
Processes
Published
2025-02-15
DOI
https://doi.org/10.3390/pr13020547
Citations
2
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
2.43
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article

Improving Breakthrough Curve Calculations in Dynamic PSA Processes Through a Rigorous Cubic State Equation

Javier Gómez Rodríguez, Galo Rafael Urrea-García, Guadalupe Luna‐Solano, María Guadalupe Aguilar‐Uscanga et al.
2 citations
Processes
Fault Detection and Control Systems
2.43
article

Improving Breakthrough Curve Calculations in Dynamic PSA Processes Through a Rigorous Cubic State Equation

Javier Gómez Rodríguez, Galo Rafael Urrea-García, Guadalupe Luna‐Solano, María Guadalupe Aguilar‐Uscanga, Denis Cantú‐Lozano, D. Gutiérrez-González
article en
2 citations

Abstract

This study evaluates the improvement of numerical accuracy in the PSA model for ethanol dehydration using molecular sieves. By incorporating cubic state equations for vapor density determination, significant errors were identified when applying the ideal gas assumption to the ethanol–water mixture, particularly under moderate pressure conditions. The integration of the Peng–Robinson equation demonstrated a 5–10% improvement in calculation accuracy compared to the ideal gas law. This enhancement is crucial for achieving reliable predictions under non-ideal conditions, enabling more accurate estimations of real process dynamics across varying scenarios. Notably, improved accuracy in the PSA model is essential for designing more efficient and reliable industrial applications, especially at moderate pressures. The results indicate that the Peng–Robinson equation provides a more accurate representation of the density of the ethanol–water vapor mixture, contributing significantly to more accurate simulation results of the PSA process.

ProcessesVol. 13(2)
Tecnológico Nacional de México (MX), Instituto Tecnológico de Veracruz (MX), Instituto Tecnologico de Orizaba (MX)
Openalex Percentile: Top 13%
Fault Detection and Control Systems
2.43
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Improving Breakthrough Curve Calculations in Dynamic PSA Processes Through a Rigorous Cubic State Equation — Javier Gómez Rodríguez, Galo Rafael Urrea-García, et al. · Processes (2025) | TGRS Research Map | TGRS