Investigating PSA, VSA, and TSA methods in SMR unit of refineries for hydrogen production with fuel cell specification

Golmakani, Ayub; Fatemi, Shohreh; Tamnanloo, Javad

doi:10.1016/j.seppur.2016.11.030

Cited by 87 publications

(49 citation statements)

References 26 publications

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“…This section reports modelling and experimental works on PSA, studying the effect of various parameters, such as bed size, bed configurations, pressure equalizations, feed composition, etc. Four-bed PSA, four-bed VPSA, and four-bed TSA are modelled by [20], considering feed gas produced by the steam reforming of natural gas containing 75% of hydrogen. The purity required is in the range 99.9-99.99%.…”

Section: Psa Model Literaturementioning

confidence: 99%

“…The sequence of steps is designed so that the whole PSA system provides constant feed, product, and off-gas flows, even though the system is made of multiple beds and not a continuous unit operation. The number of columns used for the simulation has been chosen according to references in which PSA systems have been designed to work in conditions similar in flowrate and composition to the one modelled in this work [19][20][21]. Moreover, commercially available system for hydrogen production with the same size considers a four-column VPSA system [32].…”

Section: Psa and Vpsa Modelmentioning

confidence: 99%

“…Some works focused on a preliminary design of PSA for steam reforming or coal gasification processes, selecting the type of adsorbent, particle size, bed size, bed configuration, pressure equalizations, and feed composition. Most of the studies found in literature describe and analyze PSA systems designed for the use, with a feed coming mainly from natural gas reforming [19][20][21], which is significantly different from the one coming from biogas: the presence of large amounts of impurities in the feed, such as carbon dioxide and nitrogen, requires a specific design of this component, different from the natural gas steam reforming case.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Green Hydrogen Production from Raw Biogas: A Techno-Economic Investigation of Conventional Processes Using Pressure Swing Adsorption Unit

et al. 2018

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This paper discusses the techno-economic assessment of hydrogen production from biogas with conventional systems. The work is part of the European project BIONICO, whose purpose is to develop and test a membrane reactor (MR) for hydrogen production from biogas. Within the BIONICO project, steam reforming (SR) and autothermal reforming (ATR), have been identified as well-known technologies for hydrogen production from biogas. Two biogases were examined: one produced by landfill and the other one by anaerobic digester. The purification unit required in the conventional plants has been studied and modeled in detail, using Aspen Adsorption. A pressure swing adsorption system (PSA) with two and four beds and a vacuum PSA (VPSA) made of four beds are compared. VPSA operates at sub-atmospheric pressure, thus increasing the recovery: results of the simulations show that the performances strongly depend on the design choices and on the gas feeding the purification unit. The best purity and recovery values were obtained with the VPSA system, which achieves a recovery between 50% and 60% at a vacuum pressure of 0.1 bar and a hydrogen purity of 99.999%. The SR and ATR plants were designed in Aspen Plus, integrating the studied VPSA model, and analyzing the behavior of the systems at the variation of the pressure and the type of input biogas. The SR system achieves a maximum efficiency, calculated on the LHV, of 52% at 12 bar, while the ATR of 28% at 18 bar. The economic analysis determined a hydrogen production cost of around 5 €/kg of hydrogen for the SR case.

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Section: Psa Model Literaturementioning

confidence: 99%

Section: Psa and Vpsa Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Green Hydrogen Production from Raw Biogas: A Techno-Economic Investigation of Conventional Processes Using Pressure Swing Adsorption Unit

et al. 2018

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“…A gas separator (pressure swing adsorption, absorption and membrane) could be used to separate the two gases, H 2 and CO, and afterwards, the two gas streams could be mixed again in volumetric ratio of F H2 /F CO = 2 in order to achieve the targeted molar ratio for the methanol synthesis reaction. Pressure swing adsorption (PSA) gives high separation efficiency and is widely used in industry but low H 2 recovery [33], especially at streams with low H 2 content, and high gas loss from the pressure release during desorption could be considerable disadvantages [34]. Absorption of CO is a well-known process resulting in high purity and recovery of CO, but the nature of the solvent (cuprous chloride, hydrochloric acid and water) is associated with technical challenges (corrosion, safety issues, high reactivity, etc.).…”

Section: Thermal Catalytic Dmr Processmentioning

confidence: 99%

Investigating the Plasma-Assisted and Thermal Catalytic Dry Methane Reforming for Syngas Production: Process Design, Simulation and Evaluation

2017

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Abstract:The growing surplus of green electricity generated by renewable energy technologies has fueled research towards chemical industry electrification. By adapting power-to-chemical concepts, such as plasma-assisted processes, cheap resources could be converted into fuels and base chemicals. However, the feasibility of those electrified processes at large scale has not been investigated yet. Thus, the current work strives to compare, for first time in the literature, plasma-assisted production of syngas, from CH 4 and CO 2 (dry methane reforming), with thermal catalytic dry methane reforming. Specifically, both processes are conceptually designed to deliver syngas suitable for methanol synthesis (H 2 /CO ≥ 2 in mole). The processes are simulated in the Aspen Plus process simulator where different process steps are investigated. Heat integration and equipment cost estimation are performed for the most promising process flow diagrams. Collectively, plasma-assisted dry methane reforming integrated with combined steam/CO 2 methane reforming is an effective way to deliver syngas for methanol production. It is more sustainable than combined thermal catalytic dry methane reforming with steam methane reforming, which has also been proposed for syngas production of H 2 /CO ≥ 2; in the former process, 40% more CO 2 is captured, while 38% less H 2 O is consumed per mol of syngas. Furthermore, the plasma-assisted process is less complex than the thermal catalytic one; it requires higher amount of utilities, but comparable capital investment.

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“…A series of parameters such as P/F ratio, adsorption pressure, and lengths of both adsorbents layers were studied by Ribeiro et al Cen et al studied the P/F ratio and indicated that it was very important for a high purity hydrogen product . In order to make the purified hydrogen be used in fuel cell application, three different cyclic adsorption processes were applied by Golmakani et al You et al have improved the purification performance; the hydrogen recovery would increase by about 10% combining the vacuum step with the purging step called VPSA . Different adsorption bed numbers and pressure swing adsorption cycle steps are also important for hydrogen purification performance; the research shows that increasing the adsorption bed numbers can improve the hydrogen recovery .…”

Section: Introductionmentioning

confidence: 99%

Machine learning–based optimization for hydrogen purification performance of layered bed pressure swing adsorption

Xiao

Fang

et al. 2020

Int J Energy Res

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Summary An adsorption, heat and mass transfer model for the five‐component gas from coal gas (H2/CO2/CH4/CO/N2 = 38/50/1/1/10 vol%) in a layered bed packed with activated carbon and zeolite was established by Aspen Adsorption software. Compared with published experimental results, the hydrogen purification performance by pressure swing adsorption (PSA) in a layered bed was numerically studied. The results show that there is a contradiction between the hydrogen purity and recovery, so the multi‐objective optimization algorithms are needed to optimize the PSA process. Machine learning methods can be used for data analysis and prediction; the polynomial regression (PNR) and artificial neural network (ANN) were used to predict the purification performance of two‐bed six‐step process. Finally, two ANN models combined with sequence quadratic program (SQP) algorithm were used to achieve multi‐objective optimization of hydrogen purification performance. According to the analysis of the optimization results, the ANN models are more suitable for optimizing the purification performance of hydrogen than the PNR model.

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Investigating PSA, VSA, and TSA methods in SMR unit of refineries for hydrogen production with fuel cell specification

Cited by 87 publications

References 26 publications

Green Hydrogen Production from Raw Biogas: A Techno-Economic Investigation of Conventional Processes Using Pressure Swing Adsorption Unit

Green Hydrogen Production from Raw Biogas: A Techno-Economic Investigation of Conventional Processes Using Pressure Swing Adsorption Unit

Investigating the Plasma-Assisted and Thermal Catalytic Dry Methane Reforming for Syngas Production: Process Design, Simulation and Evaluation

Machine learning–based optimization for hydrogen purification performance of layered bed pressure swing adsorption

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