LAPSE:2025.0347
Published Article
LAPSE:2025.0347
Enhanced Computational Approach for Simulation and Optimisation of Vacuum (Pressure) Swing Adsorption
June 27, 2025
Abstract
Vacuum (pressure) swing adsorption (V(P)SA) has received considerable attention in the past decades. Existing studies typically estimate vacuum pump energy consumption using an approximate constant energy efficiency or an empirical energy efficiency correlation, leading to inaccurate representation of realistic vacuum pump performance. In this paper an enhanced computational approach is proposed for simulation and optimisation of V(P)SA through simultaneous integration of realistic vacuum pump data and adsorption bed fluidisation limits. The computational results show that the developed prediction models accurately represent the actual performance curves of the vacuum pump. Incorporation of the vacuum pump prediction models and fluidisation constraints in V(P)SA optimisation leads to significantly different optimal solutions compared to when these factors are not considered.
Vacuum (pressure) swing adsorption (V(P)SA) has received considerable attention in the past decades. Existing studies typically estimate vacuum pump energy consumption using an approximate constant energy efficiency or an empirical energy efficiency correlation, leading to inaccurate representation of realistic vacuum pump performance. In this paper an enhanced computational approach is proposed for simulation and optimisation of V(P)SA through simultaneous integration of realistic vacuum pump data and adsorption bed fluidisation limits. The computational results show that the developed prediction models accurately represent the actual performance curves of the vacuum pump. Incorporation of the vacuum pump prediction models and fluidisation constraints in V(P)SA optimisation leads to significantly different optimal solutions compared to when these factors are not considered.
Record ID
Keywords
bed fluidization, Optimization, Pressure swing adsorption, Process simulation, Vacuum pump modelling
Subject
Suggested Citation
Liao Y, Wright A, Li J. Enhanced Computational Approach for Simulation and Optimisation of Vacuum (Pressure) Swing Adsorption. Systems and Control Transactions 4:1214-1220 (2025) https://doi.org/10.69997/sct.147467
Author Affiliations
Liao Y: The University of Manchester, Centre for Process Integration, Department of Chemical Engineering, Manchester, UK
Wright A: The University of Manchester, Centre for Process Integration, Department of Chemical Engineering, Manchester, UK
Li J: The University of Manchester, Centre for Process Integration, Department of Chemical Engineering, Manchester, UK
Wright A: The University of Manchester, Centre for Process Integration, Department of Chemical Engineering, Manchester, UK
Li J: The University of Manchester, Centre for Process Integration, Department of Chemical Engineering, Manchester, UK
Journal Name
Systems and Control Transactions
Volume
4
First Page
1214
Last Page
1220
Year
2025
Publication Date
2025-07-01
Version Comments
Original Submission
Other Meta
PII: 1214-1220-1675-SCT-4-2025, Publication Type: Journal Article
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LAPSE:2025.0347
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https://doi.org/10.69997/sct.147467
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[v1] (Original Submission)
Jun 27, 2025
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References Cited
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