Study of feed temperature effects on performance of a domestic industrial PSA plant

Shokroo, Ehsan Javadi; Shahcheraghi, Mohammad; Farniaei, Mehdi

doi:10.1007/s13203-014-0080-z

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…This led to a 9.2% and 14% drop in purity and recovery, respectively. This can be caused by the inverse relation of temperature to adsorption capacity, a characteristic of traditional adsorbents employing separation by physisorption [40].…”

Section: Effect Of Temperaturementioning

confidence: 99%

Comparative Evaluation of PSA, PVSA, and Twin PSA Processes for Biogas Upgrading: The Purity, Recovery, and Energy Consumption Dilemma

Golmakani,

Wadi,

Manović

et al. 2023

Energies

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The current challenges of commercial cyclic adsorption processes for biogas upgrading are associated with either high energy consumption or low recovery. To address these challenges, this work evaluates the performance of a range of configurations for biogas separations, including pressure swing adsorption (PSA), pressure vacuum swing adsorption (PVSA), and twin double-bed PSA, by dynamic modelling. Moreover, a sensitivity analysis was performed to explore the effect of various operating conditions, including adsorption time, purge-to-feed ratio, biogas feed temperature, and vacuum level, on recovery and energy consumption. It was found that the required energy for a twin double-bed PSA to produce biomethane with 87% purity is 903 kJ/kg CH4 with 90% recovery, compared to 961 kJ/kg CH4 and 76% recovery for a PVSA process. With respect to minimum purity requirements, increasing product purity from 95.35 to 99.96% resulted in a 32% increase in energy demand and a 23% drop in recovery, illustrating the degree of loss in process efficiency and the costly trade-off to produce ultra-high-purity biomethane. It was concluded that in processes with moderate vacuum requirements (>0.5 bar), a PVSA should be utilised when a high purity biomethane product is desirable. On the other hand, to minimise CH4 loss and enhance recovery, a twin double-bed PSA should be employed.

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Section: Effect Of Temperaturementioning

confidence: 99%

Comparative Evaluation of PSA, PVSA, and Twin PSA Processes for Biogas Upgrading: The Purity, Recovery, and Energy Consumption Dilemma

Golmakani,

Wadi,

Manović

et al. 2023

Energies

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“…The commonly known linear driving force (LDF) model is frequently applied due to its simplicity and physical consistency [6]. However, the N 2 -PSA process simulations involving LDF models present the results almost exclusively at low product purity levels (< 99% N 2 ) [7][8][9][10][11][12]. Solely, Shirley and Lemcoff published predicted and experimental data in the range of higher nitrogen purity (> 99.9% N 2 ), describing the mass transfer kinetics through the Langmuir adsorption rate expression as an approximation of the slit-potential-rate model introduced by LaCava [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…Fig 11. Graphical representation of fractional uptake rates of oxygen and nitrogen together with their difference Δ: (a) at lower operating pressure/temperature, (b) at higher operating pressure/temperature; green arrow indicates the maximum selectivity[38] …”

mentioning

confidence: 99%

Dynamic simulation of high-purity twin-bed N2-PSA plants

Marcinek

Möller²,

Guderian

et al. 2021

Adsorption

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At present, nitrogen production from air by pressure swing adsorption (PSA) is simulated almost exclusively at low product purity levels (< 99% N2). However, with increasing global demand for highly purified gases provided by energy-efficient separation processes the requirement for either extensive experimental research in the high-purity range or predictive computer simulations arises. This paper presents a mathematical model of a twin-bed PSA plant equipped with a carbon molecular sieve (Shirasagi MSC CT-350) for the generation of high-purity nitrogen (99.9–99.999% N2). The model is implemented in the process simulator Aspen Adsorption™. The influence of operating conditions as well as the cycle organisation on the process performance is validated, especially the influence of pressure, temperature, half-cycle time, purge flow rate, and cutting time. The precision of the performance prediction by numerical simulations is critically discussed. Based on the new insights efficiency improvement strategies with a focus on reduced energy consumption are introduced and discussed by means of radar charts.

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Modeling of temperature swing adsorption-oxidation of volatile organic compounds

Adebayo

Rezaei

2022

Chemical Engineering Science

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Study of feed temperature effects on performance of a domestic industrial PSA plant

Cited by 5 publications

References 26 publications

Comparative Evaluation of PSA, PVSA, and Twin PSA Processes for Biogas Upgrading: The Purity, Recovery, and Energy Consumption Dilemma

Comparative Evaluation of PSA, PVSA, and Twin PSA Processes for Biogas Upgrading: The Purity, Recovery, and Energy Consumption Dilemma

Dynamic simulation of high-purity twin-bed N2-PSA plants

Modeling of temperature swing adsorption-oxidation of volatile organic compounds

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