Hybrid systems: Combining membrane and absorption technologies leads to more efficient acid gases (CO 2 and H 2 S) removal from natural gas

Rezakazemi, Mashallah; Heydari, Isa; Zhang, Zhien

doi:10.1016/j.jcou.2017.02.006

Cited by 139 publications

(54 citation statements)

References 28 publications

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“…Conventional separation processes, such as cryogenic distillation and membrane technologies, are not suited for treating such flue‐gas streams for the oxy‐combustion process due to their low throughput and poor selectivity to CO 2 . In additional, those methods are energy‐intensive and limited at large scales …”

Section: Introductionmentioning

confidence: 99%

Selective Reduction of Oxygen on Non‐Noble Metal Copper Nanocatalysts

Kuhn

Zhang

et al. 2020

Energy Tech

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Efficient removal of molecular oxygen (O2) from flue gas is necessary to capture and utilize carbon dioxide (CO2) from fossil‐fuel sources. Herein, the catalytic reduction of O2 in simulated flue gases using alumina‐supported copper (Cu) nanostructures is presented. The Cu catalyst outperformed conventional palladium systems for the selectivity toward CO2 over carbon monoxide (CO). Varying the reactant feed ratio can lead to structural rearrangements at the surface of Cu nanoparticles, resulting in significant differences in catalytic activity. Under optimal conditions, a favorable Cu@CuOx core‐shell structure is observed to exhibit both excellent activity and selectivity to CO2. The simulated flue gas is purified from 85% to >99.9% (v/v) CO2 after passing the catalytic system. The catalyst also exhibits high stability, showing only ≈0.1% drop in CO2 after 10 h on stream. This design marks progress toward the sequestration of CO2 and the development of non‐noble catalysts by tuning their dynamic nanostructures under controllable reaction conditions.

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Section: Introductionmentioning

confidence: 99%

Selective Reduction of Oxygen on Non‐Noble Metal Copper Nanocatalysts

Kuhn

Zhang

et al. 2020

Energy Tech

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“…Some natural gas contains a high percentage of CO 2, which usually falls in the range of 65–70%, and some are as high as about 80% . Natural gas can entail only below 2–3% of CO 2 according to pipeline specification . CO 2 can react with water to form carbonic acid, which is highly corrosive.…”

Section: Introductionmentioning

confidence: 99%

High‐temperature CO₂ removal from CH₄ using silica membrane: experimental and neural network modeling

et al. 2019

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Inorganic membranes can operate under harsh conditions. However, successful synthesis of inorganic membranes is still challenging, and its performance depends on many factors. This work reports the effect of dip‐coating duration, inlet pressure, and inlet flow rate on the flux, permeability, and selectivity of silica membranes. A silica membrane was prepared by the deposition of silica sol onto porous alumina support. The permeability test was conducted at 100 °C using a single gas of CO2 and CH4. The highest flux was observed at the maximum inlet pressure and inlet flow rate for the membrane prepared at the minimum dip‐coating duration. The neural network modeling of the membrane predicted permeabilities showed a considerably high validity regression (R ≈ 0.99) of the predicted data linked to the experimental sets. The separation factor (α) was the highest at the maximum dip‐coating duration. The synthesized silica membrane has potential for CO2/CH4 separation under harsh operating conditions. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.

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“…Moreover, the membranes offer lower operational and maintenance costs. So far, membranes have been used for various applications in gas and liquid separation such as gas purification, hydrogen purification,[11,] natural gas sweetening, water desalination, pervaporation, and bioseparation . Application of membranes for the specific process depends on the type of media, process conditions, and costs .…”

Section: Introductionmentioning

confidence: 99%

Simulation of Nonporous Polymeric Membranes Using CFD for Bioethanol Purification

Asadollahzadeh

Raoufi

Rezakazemi

et al. 2018

Macro Theory & Simulations

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A mechanistic model is developed to simulate ethanol purification using membrane technology. In the considered process, a feed solution containing 10 wt% water + 90 wt% ethanol is contacted with a polymeric dense membrane in a pervaporation system. The membrane selectively separates water from solution in order to purify the ethanol. In the development of the model, it is assumed that the water is the main penetrant through the membrane due to the hydrophilicity of membrane material. The mass fraction of water molecules in the feed solution, as well as membrane, is estimated using Maxwell–Stefan approach. The governing equations are then solved using finite element method in order to predict mass fraction, mass transfer flux, and velocity of the solution in the membrane module. The results indicate that the model can predict the formation of concentration and velocity boundary layer in the feed solution near the membrane/feed interface. Moreover, the developed model is robust and reliable in the understanding of membrane separation processes applicable for dehydration of alcohols.

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Hybrid systems: Combining membrane and absorption technologies leads to more efficient acid gases (CO 2 and H 2 S) removal from natural gas

Cited by 139 publications

References 28 publications

Selective Reduction of Oxygen on Non‐Noble Metal Copper Nanocatalysts

Selective Reduction of Oxygen on Non‐Noble Metal Copper Nanocatalysts

High‐temperature CO₂ removal from CH₄ using silica membrane: experimental and neural network modeling

Simulation of Nonporous Polymeric Membranes Using CFD for Bioethanol Purification

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Hybrid systems: Combining membrane and absorption technologies leads to more efficient acid gases (CO 2 and H 2 S) removal from natural gas

Cited by 139 publications

References 28 publications

Selective Reduction of Oxygen on Non‐Noble Metal Copper Nanocatalysts

Selective Reduction of Oxygen on Non‐Noble Metal Copper Nanocatalysts

High‐temperature CO2 removal from CH4 using silica membrane: experimental and neural network modeling

Simulation of Nonporous Polymeric Membranes Using CFD for Bioethanol Purification

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High‐temperature CO₂ removal from CH₄ using silica membrane: experimental and neural network modeling