A short review on pressure swing adsorption (PSA) technology for nitrogen generation from air

Kamin, Zykamilia; Bahrun, Mohd Hardyianto Vai; Bono, Awang

doi:10.1063/5.0099702

Cited by 4 publications

(4 citation statements)

References 42 publications

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“…In the Skarstrom cycle, a more strongly adsorbed component is generally separated and removed from the mixture of gases at high pressure, whereas desorption of the adsorbed component occurs at a lower pressure [9]. In oxygen production, a typical scenario is wherey oxygen being a weakly adsorbed component than nitrogen; thus, nitrogen as the strongly adsorbed component is removed from the air [5].…”

Section: Te Description Of the Conventional Skarstrom Cyclementioning

confidence: 99%

“…To complete and solve the governed mathematical model (mass, momentum, and energy), some model parameters that are unknown can be estimated using reliable correlations with reasonable accuracy to the overall performance of the PSA system. A short review paper by Kamin et al [5] summarises related correlations for estimating the unknown model parameters. Te comprehensive list of established correlations can be found in many separation processes and mass and heat transfer books [47,48].…”

Section: Energy Balancementioning

confidence: 99%

“…Industrial applications such as welding, medicine, combustion, refneries, and manufacturing metal require oxygen with more than 99% purity [2,3]. Most particularly in the current emerging worldwide COVID-19 pandemic situation, whereby a rapid production of highpurity medical oxygen supplies for hospitals has been the key to treat COVID-19 patients [4,5].…”

Section: Introductionmentioning

confidence: 99%

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The Production of Industrial-Grade Oxygen from Air by Pressure Swing Adsorption

Chin

Kamin

Bahrun

et al. 2023

International Journal of Chemical Engineering

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Oxygen, an odorless and colorless gas constituent of the atmosphere, is a vital gas component for the Earth, as it makes up 21% of the composition of the air we breathe. Apart from the importance of oxygen for human breathing, its highly pure form is demanding for industrial applications. As such, several technologies have been established to increase the oxygen purity from 21% to somewhat higher than 95%. One of the competitive technologies for producing this high-purity oxygen from the air is through pressure swing adsorption (PSA), which has the advantages of low cost and energy while being highly efficient. Also, PSA is a simple and flexible system due to its ability to start up and shut down more rapidly since its operation occurs at ambient temperature, which is enabled through the use of adsorbents to bind and separate the air molecules. The enhancement of the PSA’s performances was reported through the modification of PSA step cycles and material (zeolite) tailoring. A simplified complete set of a mathematical model is included for modelling the PSA system, aiming to ease the experimental burden of the process design and optimization of an infinite modification of PSA step cycles. Finally, some technological importance of oxygen production via PSA, particularly for onboard oxygen generation system and oxy-enriched incineration of municipal solid waste, was discussed. Continuous development of PSA will make significant contributions to a wide range of chemical industries in the near future, be it for oxygen production or other gas separation applications.

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Section: Te Description Of the Conventional Skarstrom Cyclementioning

confidence: 99%

Section: Energy Balancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Production of Industrial-Grade Oxygen from Air by Pressure Swing Adsorption

Chin

Kamin

Bahrun

et al. 2023

International Journal of Chemical Engineering

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“…The disadvantage of this method is high energy intensity of the process, which is caused by the need to maintain low temperatures (up to -200 ˚C), which makes the process economically feasible only in case of application of the method within the framework of large-capacity production. Adsorption methodpressure swing adsorption (PSA) is effective for medium tonnage production and processes [10,11]. Membrane technology is characterised by high energy efficiency and produces nitrogen with a concentration of > 99 vol.% [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Influence of the Membrane Mass Transfer Properties Study Technique on the Process Simulation Results

Kryuchkov,

Smorodin,

Atlaskin

et al. 2024

Preprint

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The presented work is aimed at studying the gas transport characteristics of polymeric hollow-fibre gas separation membranes. Such materials as: polysulfone (PSF), polyphenylene oxide (PFO), polyetherimide (PEI), polyetherimide with polyimide (PEI+PI) were studied on the example of air mixture separation. The values of the permeances of pure gases O2 and N2 and the mixed permeances of oxygen and nitrogen during air separation were obtained. Mathematical models of the gas separation process built on the basis of these values show significant discrepancies. To obtain a gas mixture with 95 mol.% nitrogen from air, taking into account the mixture permeance, 15.8% more PSF membrane area is required than taking into account the permeance of pure gases. For a PPO membrane this value is 13.9%, for PEI 19.8% less area is required, and for PEI+PI 15.9% less. In the design of industrial or semi-industrial membrane installations, such discrepancies can lead to significant errors, including technical and economic ones.

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A new intelligent prediction model using machine learning linked to grey wolf optimizer algorithm for O₂/N₂ adsorption

et al. 2023

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To address the deficiency and predict the adsorption performance in different adsorbents, this study proposes a new optimizer linked to the machine learning (ML) model considering the performance of the adsorption process. The main goal is to predict adsorption under different process conditions with different adsorbents and provide a unified framework, leading to the prediction of adsorption phenomena instead of traditional isotherm models. This research focuses on predicting the adsorbed amount of O2 and N2 on several carbon‐based adsorbents using the ML approach linked to the grey wolf optimizer algorithm (GWO). Experimental isotherm data (dataset 1344) on adsorbent type, temperature, pressure, gas type, and adsorption capacity of the process adsorption were used as input and output datasets. The best algorithm was Broyden–Fletcher–Goldfarb–Shanno (BFGS), a two‐layer network from a multi‐layer perceptron (MLP) method applying 28 neurons. The new MLP‐GWO network would have the best mean square error (MSE) efficiencies of 0.00037, while the R2 (r‐squared) was 0.9934. The new ML‐generated model can accurately predict the adsorption process behaviour of different carbon‐based adsorbents under various process conditions. The results of this research have the potential to assist a wide range of gas separation industries.

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A short review on pressure swing adsorption (PSA) technology for nitrogen generation from air

Cited by 4 publications

References 42 publications

The Production of Industrial-Grade Oxygen from Air by Pressure Swing Adsorption

The Production of Industrial-Grade Oxygen from Air by Pressure Swing Adsorption

Influence of the Membrane Mass Transfer Properties Study Technique on the Process Simulation Results

A new intelligent prediction model using machine learning linked to grey wolf optimizer algorithm for O₂/N₂ adsorption

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A short review on pressure swing adsorption (PSA) technology for nitrogen generation from air

Cited by 4 publications

References 42 publications

The Production of Industrial-Grade Oxygen from Air by Pressure Swing Adsorption

The Production of Industrial-Grade Oxygen from Air by Pressure Swing Adsorption

Influence of the Membrane Mass Transfer Properties Study Technique on the Process Simulation Results

A new intelligent prediction model using machine learning linked to grey wolf optimizer algorithm for O2/N2 adsorption

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Product

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A new intelligent prediction model using machine learning linked to grey wolf optimizer algorithm for O₂/N₂ adsorption