2022
DOI: 10.3390/polym14071371
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RSM Modeling and Optimization of CO2 Separation from High CO2 Feed Concentration over Functionalized Membrane

Abstract: The challenges in developing high CO2 gas fields are governed by several factors such as reservoir condition, feed gas composition, operational pressure and temperature, and selection of appropriate technologies for bulk CO2 separation. Thus, in this work, we report an optimization study on the separation of CO2 from CH4 at high CO2 feed concentration over a functionalized mixed matrix membrane using a statistical tool, response surface methodology (RSM) statistical coupled with central composite design (CCD).… Show more

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Cited by 3 publications
(4 citation statements)
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“…In contrast, increasing the operating pressure from 3.5 to 10.0 bar at a temperature of 25 • C led to the improvement of CO 2 /C 2 H 4 ideal selectivity by about 19.0%. This could be due to the improvement of CO 2 adsorption capacity as well as better compatibility between polymer and filler [14]. Furthermore, the maximum CO 2 /C 2 H 4 ideal selectivity of 3.52 is attained at a temperature of 25.0 • C and a feed pressure of 10.0 bar, as shown in Figure 3a.…”
Section: Co2/c2h4 Ideal Selectivitymentioning
confidence: 88%
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“…In contrast, increasing the operating pressure from 3.5 to 10.0 bar at a temperature of 25 • C led to the improvement of CO 2 /C 2 H 4 ideal selectivity by about 19.0%. This could be due to the improvement of CO 2 adsorption capacity as well as better compatibility between polymer and filler [14]. Furthermore, the maximum CO 2 /C 2 H 4 ideal selectivity of 3.52 is attained at a temperature of 25.0 • C and a feed pressure of 10.0 bar, as shown in Figure 3a.…”
Section: Co2/c2h4 Ideal Selectivitymentioning
confidence: 88%
“…The correlation between operational factors such as temperature and pressure and responses such as gas permeability and CO 2 /C 2 H 4 ideal selectivity was further investigated using a statistical method known as analysis of variance (ANOVA). The experimental data were fitted into model parameters specified in Equation ( 3) to link their appropriate responses over operating situations [14].…”
Section: Optimization Of CM Gas Separation Performancementioning
confidence: 99%
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“…RSM designs are used to find the optimal operational conditions, 35,51 the troubleshoot process problems and the weak points, and make a process more insensitive to external and noncontrollable influences. 52 Nowadays, RSM has been applied for modeling 39,[53][54][55][56] and optimization, 53,56,57 finding the effects of each parameters 58 on the CO 2 capture processes.…”
mentioning
confidence: 99%