Seyed Saeid Hosseini*a,
Sara Najaria,
Prodip K. Kundub,
Nicolas R. Tanc and
Seyed Mehrdad Roodashtia
aDepartment of Chemical Engineering, Tarbiat Modares University, Tehran, Iran 14115-114. E-mail: saeid.hosseini@modares.ac.ir; Fax: +98 21 8288 4931; Tel: +98 21 8288 3335
bDepartment of Chemical Engineering, University of Waterloo, Waterloo, ON, Canada N2L 3G1
cResearch & Development Dept., HOSSTECH Group, Singapore 528844
First published on 7th October 2015
Development of high performance membranes requires deep insights about the various design, fabrication and operational parameters involved in the process. In the present study, the influence of input parameters such as active fiber length, feed temperature, feed composition and feed pressure is investigated to analyze the efficiency of the mathematical models developed for the separation of O2/N2 mixtures in an asymmetric hollow fiber membrane permeator. In addition, the effect of various non-idealities on the membrane performance are studied, individually. Results reveal that in contrast to pressure, temperature changes have no influential effects on the concentrations of O2 and N2 at permeate and retentate streams. The influence of feed composition on the product purities is more significant compared to active fiber length. Moreover, analysis of non-ideal effects indicates that pressure changes and concentration polarization are the most significant non-idealities among the effects. Results of this investigation can effectively be used for having a comprehensive overview about the impact of influential parameters and non-ideal effects on the membrane performance for O2/N2 separation application.
One of the key techniques in design and development of high performance membranes has been through the employment of mathematical models and simulation studies. In fact, appropriate mathematical models can enable membrane manufacturers and process designers for finding opportunities that can be used for optimizing the process performance. In addition to the validity and accuracy, the ability to provide information about the trend of changes and variations in the input parameters and their respective effects on the behavior of the system and output parameters would be beneficial and of high importance.14–16 This can be achieved through sensitivity analysis. In addition, sensitivity analysis can assist in determining the degree of the influence of the parameters and identifying those with the highest impact.17 A considerable number of research studies have been carried out on the modeling and simulation of hollow fiber gas separation permeators; however, only limited studies have provided information about the effects of involved parameters on the separation performance.18–21 Pan and Habgood22 developed mathematical models for the analysis of gas permeability in hollow fiber modules with significant pressure drop in the lumen-side. Their findings revealed that the performance of the membranes with narrow lumen can be significantly affected by the permeate pressure build-up inside the narrow fiber. This was attributed to the fact that the permeate to feed pressure ratio in hollow fibers was more sensitive to the variations of the permeate pressure than the feed pressure, particularly in the case of shell-fed configuration. Furthermore, for a given module and at certain recovery rate, an optimum permeate outlet pressure was found to minimize the membrane and permeate compression costs.
In another study, Pan23 developed mathematical models in order to study and evaluate the effect of various parameters on the gas separation performance of asymmetric permeators. The findings revealed that the porous support in the asymmetric structure plays an important role in the behavior of the membrane compared to that with symmetric structures. It was also shown that the permeate pressure build-up in the narrow channels of hollow fibers is strongly dependent on the feed–permeate flow pattern. The counter-current mode offered the lowest permeate pressure build-up but the feed flow was in the undesirable direction in relation to the permeate pressure build-up. The co-current pattern, on the other hand, had the desirable direction of feed flow relative to the permeate pressure build-up but the permeate pressure build-up could be excessive. In overall, the net effect of the permeate pressure build-up and the feed flow direction is that the feed–permeate flow pattern can have little effect on the membrane performance and that the counter-current pattern may not necessarily be the preferred operating mode.
In a subsequent study, Kundu et al.24 developed mathematical models for analysis of high flux hollow fiber membranes and generated profiles for residue and permeate flow rates, residue and permeate compositions, as well as pressure build up along the fiber bore in order to investigate the effect of each parameter on the air separation performance. The results showed that the increase in feed pressure resulted in increase in permeation driving force for both components and consequently a higher stage-cut was achieved. On the other hand, permeate purity with respect to O2 and retentate purity with respect to N2 were decreased and increased respectively upon increase in stage-cut. Fattah et al.25 developed mathematical models by taking into account the non-ideality of feed-side gas mixture at high pressure for the analysis of gas separation in permeators. The findings revealed that the non-ideal model estimated higher permeate enrichment, retentate depletion and membrane area but lower stage-cuts compared to the model developed based on ideal conditions. This was attributed to the decrease in permeation driving force across the membrane caused by reduction in fugacity coefficient at higher pressures. Stage-cut was increased upon increasing the pressure difference across the membrane; however, the permeate enrichment, retentate depletion and required membrane area were all decreased. Also Alpers et al.26 developed both ideal and extended (by accounting for fugacity coefficients) models to investigate the performance of high flux membrane for separation of organic vapors from air. They found that for a quaternary mixture comprising methane, ethane, propane, and n-butane, the membrane selectivity and the retentate mole fractions were almost comparable for both ideal and extended models having feed pressures up to 15 bar. However, further increase in feed pressure resulted in deviation between the ideal and extended models for predicting the membrane permeation and separation performance.
Mourgues and Sanchez27 developed a mathematical model to investigate the effect of concentration polarization on the performance of hollow fiber gas separation membranes. They found that concentration polarization significantly affected the performance of the membranes particularly those possessing selectivity of 100 and permeability (of the more permeable gas) exceeding 1000 GPU. In the case of temperature changes due to permeation, Rautenbach and Dahm28 analyzed the influence of Joule–Thomson effect on the separation characteristics of membrane module used for both air separation and methane enrichment in landfill gas. They demonstrated that relatively large errors could happen if Joule–Thomson effect was not taken into account in the design of membrane permeators. Also, they indicated that the influence of Joule–Thomson effect could be pronounced upon increase in absolute values of activation energy for permeation. Safari et al.29 presented two simple mathematical models to account for the dependence of membrane permeability and selectivity to temperature and pressure simultaneously. It was illustrated that the permeability was increased upon increase in temperature or decrease in pressure. On the other hand, they concluded that increase in both temperature and pressure resulted in the reduced selectivity. In addition, the effect of temperature on selectivity was more pronounced.
Despite the numerous studies carried out on modeling and simulation of the gas separation permeators, no specific study could be found that can provide deep insights to the effect and importance of influential parameters, membrane geometry and operational conditions on the separation performance. In continuation to the developments of various gas separation membranes,2,3,7,9–12 the authors recently presented a useful methodology for mathematical modeling based on both ideal and non-ideal conditions for separation of binary gas mixtures.30 The ideal model is developed based on the maximum possible assumptions and simplifications. On the other hand, the non-ideal model is developed by incorporating several realistic parameters to the ideal model including real gas behavior, temperature, pressure and concentration dependence of gas viscosity as well as pressure changes on both sides of hollow fibers, concentration polarization, temperature changes due to permeation and temperature dependence of membrane permeance.30,31 The objective of the present study is to perform rigorous simulations and sensitivity analysis on the developed mathematical models to analyze the effect of module properties and process operational conditions on the membrane separation performance. The effect of variations in active fiber length, feed temperatures, feed pressures and feed compositions were the few important input parameters investigated and analyzed in details. Furthermore, the role and the extent of contribution of each non-ideal effect on the separation performance of the membrane was evaluated and presented in an exemplary case of a hollow fiber membrane permeator for air separation. The experimental data presented by Feng et al.32 were used to accomplish the analyses for both ideal and non-ideal conditions. The findings can effectively be used for determination of the impact of influential parameters and non-ideal effects on the membrane separation performance for gas separation applications.
Sensitivity analysis was carried out using brute force technique.17 This technique is suitable mostly for relatively simple models with limited equations that can be solved with less complexity involved. According to this technique, a selected input parameter is changed within a certain range while keeping other parameters constant in order to realize the degree of the sensitivity of the output parameter to the selected variable one. These parameters are related to the properties of the feed, permeate and retentate streams, the flow and module configurations, as well as the properties of the membrane material and the governing transport mechanisms involved.30 Accordingly, active fiber length, feed temperature, pressure along with feed composition are selected as the main parameters.
The active fiber length represents the physical geometry of the membrane while temperature, pressure and composition of the feed are all associated to the process operational conditions. The mole fraction of the more permeable component in the permeate as well as the mole fraction of the less permeable component in the retentate streams are considered as the output parameters. These output parameters were taken as the key indices for evaluation of the performance of the hollow fiber module for air separation. A schematic of the geometry and flow configuration of the module comprised of the asymmetric hollow fiber membranes used for the simulation and sensitivity analysis is presented in Fig. 1. In addition, the specifications of the module and process conditions which used for the sensitivity analysis are provided in Table 1.
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Fig. 1 The geometry and flow configuration of the membrane permeator module and hollow fiber membranes inside used for simulation and sensitivity analysis. |
Parameter | Unit | Value |
---|---|---|
Inner fiber diameter | μm | 80 |
Outer fiber diameter | μm | 160 |
Module diameter | mm | 9.5 |
Number of fibers | — | 368 |
Active fiber length | cm | 25 |
Feed mole fractions | — | 0.205O2 |
0.795N2 | ||
Feed pressure | kPa | 790.8 |
Permeate outlet pressure | kPa | 101.3 |
Feed temperature | K | 296.15 |
Permeance | 10−10 mol m−2 s−1 Pa−1 | 30.78O2 |
5.7N2 | ||
Activation energy for permeation | kJ mol−1 | 19.3O2 |
27.6N2 |
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Fig. 2 The effect of active fiber length on the purity of products (a) O2 mole fraction in permeate stream (b) N2 mole fraction in retentate stream (testing conditions are provided in Table 1). |
The simulations considering non-ideal model show that an increase in the active fiber length from 5 to 20 cm led to 18.7% decrease (from 0.459 to 0.374) in the mole fraction of O2 in the permeate stream whereas the mole fraction of N2 in the retentate increased by 10.3% (from 0.829 to 0.913). A longer fiber can be translated to the larger membrane area available for the permeation of gas molecules and consequently higher stage-cuts. Higher stage-cut causes passage of a larger amount of gas through the membrane along the extended fiber length. Upon increase in fiber length, the retentate stream is gradually depleted from the more permeable component (i.e., oxygen) and enriched with less permeable component (i.e., nitrogen) and this extended fiber length provides more opportunity for the permeation of nitrogen through the membrane compared to the smaller fiber length. Hence, the permeate side becomes diluted with the less permeable component and purity of more permeable component in the permeate side decreases. In other words, a trade-off relationship exists between the product recovery and purity.34 Therefore, due to depletion of oxygen from feed stream, higher stage-cuts are achieved with less enriched permeates.4 It was interesting to note that the trends of simulation results by both ideal and non-ideal models were comparable, albeit higher purities of O2 and N2 were predicted by the ideal model than that of the non-ideal model for both the permeate and the retentate streams, respectively. Accordingly, the ideal model predictions were about 1.7% and 1% higher in the case of O2 and N2 purities for the fiber with length of 0.2 m. This can be attributed to the cumulative declining contribution of non-ideal effects accounted for in the non-ideal model.
The effects of active fiber length on the purity of permeate and retentate streams at different feed compositions predicted by non-ideal model are illustrated in Fig. 3. The results implied that increase in the active fiber length results in the reduction in the purity of the oxygen at the permeate side while increase in the nitrogen purity in the retentate side. The trend was almost similar for the product quality in the permeate stream. However, the results suggested that the purity of nitrogen in the retentate side increased more by an increase in the active fiber length for feed gas with higher oxygen content. As earlier mentioned, larger membrane area provides higher recovery of O2 in permeate stream and lower recovery of N2 in the retentate stream. Increasing O2 concentration in the feed stream has a synergetic effect on reducing the recovery of N2 in the retentate and as a result of trade-off between recovery and purity, the concentration of N2 in the retentate increases sharply.
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Fig. 3 The effect of active fiber length on the purity of products at different feed compositions simulated using the non-ideal model (a) O2 mole fraction at permeate outlet (b) N2 mole fraction at retentate outlet (testing conditions are provided in Table 1). |
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Fig. 4 The effect of feed composition on the purity of products (a) O2 mole fraction at permeate outlet (b) N2 mole fraction at retentate outlet (testing conditions are provided in Table 1). |
The findings suggest that by increasing the concentration of the more permeable component (i.e., O2) in the feed stream, the concentration of O2 increases in permeate outlet as a result of increase in the permeation driving force for O2 while the permeation driving force for N2 is reduced. Therefore, considering the non-ideal model, more O2 permeates through the same membrane area and the purity of O2 in the permeate stream increases by about 0.43 and 0.38 for the modules containing fibers with an active length of 0.1 and 0.2 m, respectively. Moreover, according to the ideal model, since the concentration of O2 in retentate increases, the purity of N2 in retentate decreases by nearly 0.2 and 0.1 as can be observed in Fig. 4(b) for the length of 0.1 and 0.2 m, respectively. As discussed previously, at any specified feed composition, higher recovery and hence lower O2 and higher N2 purities are obtained for a longer fiber. In addition, by increasing the concentration of O2 in the feed stream, the prediction by ideal model deviates more from that of non-ideal model. Accordingly, the purity of N2 decreased by 0.21 and 0.14 for the 0.1 and 0.2 m active fiber lengths, respectively, due to taking into consideration of the associated non-ideal effects which is more realistic and practical. The non-ideal conditions comprise of concentration polarization, pressure changes in two sides of membrane and Joule–Thomson effect. The purity of O2 in permeate and N2 in retentate streams as a function of mole fraction of O2 in feed at different active fiber lengths are illustrated in Fig. 5.
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Fig. 5 The effect of feed composition on the purity of products at different lengths simulated using the non-ideal model (a) O2 mole fraction at permeate outlet (b) N2 mole fraction at retentate outlet (testing conditions are provided in Table 1). |
It is observed in Fig. 5(a) that feed with higher oxygen content results in permeate streams with high purity oxygen at any specified fiber length. For example, increase in oxygen mole fraction from 0.1 to 0.4 in the feed led to the enhancement of oxygen purity in the permeate stream from 0.260 to 0.699 for the fibers having 0.05 m active length. The enhancement of oxygen purity in the permeate was about 181.5% for the fibers with 0.2 m active length. This can be ascribed to the fact that since the membrane is semi-permeable and oxygen selective, increasing O2 concentration in feed stream facilitates the opportunity and provides more driving force for the permeation of more O2 molecules through the membrane. In other words, the findings indicate that both increase in the mole fraction of oxygen in the feed as well as using fibers with shorter active lengths can simultaneously achieve permeate with high purity of oxygen. On the other hand, an increase in oxygen content in the feed results in the decrease in the nitrogen mole fraction in the retentate stream as shown in Fig. 5(b). The nitrogen mole fraction in the retentate stream reduced from 0.917 to 0.660 equivalent to a 27.95% decrease upon increase in the oxygen mole fraction from 0.1 to 0.4 for the fibers having 0.05 m active length. The reduction was about 14.24% in case of fibers with the active length of 0.2 m. This suggests that obtaining a specified purity of products with a longer fiber requires a higher concentration of O2 in the feed. This can be also inferred from Fig. 6 in which the predicted purity of more permeable component is presented as functions of both fiber length and O2 mole fraction in feed. Moreover, Fig. 6 shows that purity is more affected by the feed composition than active fiber length.
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Fig. 6 The effect of feed composition and active fiber length on the oxygen purity simulated using non-ideal model (testing conditions are provided in Table 1). |
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Fig. 7 The effect of temperature on the purity of products (a) O2 mole fraction at permeate outlet (b) N2 mole fraction at retentate outlet (testing conditions are provided in Table 1). |
The results showed that considering ideal model and regardless of the active fiber length, the changes in the process temperature do not affect the composition at neither permeate nor retentate streams due to nearly ideal behavior of the considered binary system (i.e., low fugacity coefficients) and also low feed pressure (approximately 8 bar). However, non-ideal model simulation results showed that oxygen content in the permeate stream as well as nitrogen content in the retentate stream were reduced gradually upon increase in temperature. However, the magnitude of changes in the composition at the retentate stream upon variation of temperature was less compared to that in the permeate outlet. For instance, the purity of N2 decreased from 0.94% to 1.1% while that of O2 decreased from 1.2% to 2.7% at the length of 0.2 m. This can be due to the enhanced diffusion coefficients of both components which led to the increased stage-cuts knowing that higher temperatures leads to increased permeability and reduced selectivity.20 Earlier findings have demonstrated that the larger stage-cut can cause larger changes in the temperature.18 On the other hand, the decrease in the purity of N2 in retentate stream (0.18%) is less considerable which may be due to the fact that feed stream is less affected by the non-ideal effects.
The effects of feed temperature on the purity of O2 and N2 in permeate and retentate streams at different pressures are depicted in Fig. 8. It could be noted that the declining trends for both oxygen at the permeate and nitrogen at the retentate streams were almost similar for all the pressure ranges investigated. However, in overall, the declining trend of nitrogen in the retentate stream was very negligible. This may be due to the increase in the recovery and in turn stage-cuts accompanied with the decrease in retentate flow rate as can be seen in Fig. 9.
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Fig. 8 The effect of temperature on the purity of products at different pressures simulated using non-ideal model (a) O2 mole fraction at permeate outlet (b) N2 mole fraction at retentate outlet (testing conditions are provided in Table 1). |
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Fig. 9 The trends of oxygen purity, dimensionless retentate and stage-cut as a function of pressure simulated using non-ideal model (testing conditions are provided in Table 1). |
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Fig. 10 The effect of pressure on the purity of products (a) O2 mole fraction at permeate outlet (b) N2 mole fraction at retentate outlet (testing conditions are provided in Table 1). |
It could be observed that increase in the feed pressure had increasing effect on the oxygen content in the permeate outlet up to 10 bar whereas further increase in the pressure had declining effect. Accordingly, the highest O2 purity was achieved at 10 bar.
Upon increase in the feed pressure, O2 purity increased until reaching a maximum at around 0.468 and 0.437 for the length of 0.1 and 0.2 m, respectively. While further increase in pressure reduces O2 purity in permeate stream. In fact, at low pressures competitive sorption of components is dominant which results in reducing the permeance. As pressure increases driving force for mass transfer increases due to the augmented pressure difference across membrane. Therefore, N2 passage through membrane is also increased by 10.59% and 16.70% for the lengths of 0.1 and 0.2 m, respectively, and consequently O2 concentration in permeate is decreased (Fig. 10(a)). Moreover, it can be observed that at longer fiber length maximum purity occurs at lower pressures. This may be due to more area available for the permeation of components which provides higher permeation rates for both components. This is equivalent to higher stage-cut and lower O2 purity. Besides, more O2 passage through membrane results to less O2 in retentate which in turn increases N2 concentration in retentate stream (Fig. 10(b)).
According to Fig. 10, the ideal model predicts higher purities for both O2 and N2 compared to the non-ideal model which arises from the effects of non-idealities. Accordingly, maximum purity of O2 occurred at 0.479 and 0.445 for the length of 0.1 and 0.2 m where purity of N2 increased by 11.59% and 17.26%, respectively.
Fig. 11 represents the influence of pressure on the purities of O2 in permeate and N2 in retentate at different temperatures. It is observed that permeation of O2 is much more affected by temperature compared to N2. As temperature increases, purity of O2 decreases, however, purity of N2 only slightly decreases. This may be due to the fact that retentate flow is not considerably subjected to Joule–Thomson or concentration polarization phenomena since it does not pass through the membrane. Moreover, it can be also inferred that temperature has no significant effect on the trends of purities versus pressure since the maximum purity of O2 and also the slope of change of N2 purity remained unchanged.
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Fig. 11 The effect of pressure on the purity of products at different temperatures simulated using the non-ideal model (a) O2 mole fraction at permeate outlet (b) N2 mole fraction at retentate outlet (testing conditions are provided in Table 1). |
Average of parameters | P = 5 bar | P = 8 bar | P = 10 bar | |
---|---|---|---|---|
Fugacity coefficient in feed side | O2 | 0.9972 | 0.9955 | 0.9944 |
N2 | 0.9997 | 0.9995 | 0.9994 | |
Fugacity coefficient in permeate side | O2 | 0.9994 | 0.9994 | 0.9994 |
N2 | 0.9999 | 0.9999 | 0.9999 | |
Temperature drop across membrane | 0.9501 | 1.6388 | 2.0856 | |
Pressure loss in feed side | 3.17 × 10−7 bar | 1.46 × 10−7 bar | 9.4 × 10−8 bar | |
Pressure build-up in permeate side | 0.0265 bar | 0.0453 bar | 0.0561 bar | |
Pressure drop across membrane | 4.00 bar | 7.02 bar | 9.02 bar | |
Index of concentration polarization | 0.0290 | 0.0425 | 0.0496 | |
Reynolds number | Feed | 2.5111 | 2.3380 | 2.2300 |
Permeate | 0.4994 | 0.8516 | 1.0551 |
Accordingly, Reynolds number in permeate stream is less than 2100, consequently, the assumption of laminar flow in fibers is valid. Also, these data justify that by increasing the feed pressure, pressure drop in feed stream decreases while pressure build-up in the permeate stream, temperature difference across membrane and the index of concentration polarization increase.
The predictions of both ideal and non-ideal models for mole fractions of O2 (i.e., more permeable component) and N2 (i.e., less permeable component) at the outlet of permeate and retentate streams versus normalized length at various pressures are illustrated in Fig. 12. It can be observed that purity of O2 in permeate stream decreases while that of N2 in retentate increases as the normalized fiber length increases. This may be due to the fact that as O2 permeates through the membrane, the driving force of permeation decreases along the fiber and the concentration of more permeable gas reduces in the feed stream. In addition, the slope of changes in the purities along the normalized fiber length increases as pressure increases. As pressure increases, the driving force for the permeation of both components increases due to the increase in the pressure difference across the membrane. However, since feed is rich in N2, a great portion of permeated molecules are N2 and therefore, purity of O2 in the permeate decreases sharply at higher pressures. This is an indication of steeper reduce in driving force and hence the purity of N2 in retentate increases faster. In addition, at low pressure, i.e., 5 bar, non-ideal model predicts lower purity for both O2 and N2. However, as pressure increases predictions of non-ideal model overtake those of ideal model. This occurs at shorter active fiber length as pressure increases.
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Fig. 12 The effect of feed pressure on the mole fraction of components in (a) O2 mole fraction in permeate stream (b) N2 mole fraction in retentate stream (testing conditions are provided in Table 1). |
In order to investigate the influence of non-ideal effects on the separation performance of hollow fiber, each effect was considered in the ideal model individually as displayed in Fig. 13–15.
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Fig. 13 (a) O2 mole fraction in permeate-side stream (b) N2 mole fraction in feed-side stream along the active fiber length. (Feed pressure: 5 bar; other testing conditions are provided in Table 1, associated parameters related to each non-ideal effect are provided in Table 2.) |
It could be observed that the effect of pressure changes on both sides and concentration polarization are the most influential non-ideal effects among others. Accounting for the pressure changes leads to a positive deviation from the predictions of ideal model. This may be due to the fact that pressure build-up in permeate stream and negligible pressure loss in feed stream lead to a decrease in the pressure difference across the membrane and hence the driving force of both components decreases. It seems that this decrease is more considerable for N2 permeation which results in an increase in O2 purity in permeate stream compared to the predictions by the ideal model. In contrast, accounting for the effect of concentration polarization, results to lower product purity compared to the predictions by the ideal model. Clearly, concentration polarization negatively influences the separation performance of the membrane module as a result of hindering the permeation of more permeable gas through membrane due to the accumulation of less permeable gas on the surface of hollow fibers. Therefore, it is obvious to obtain less product purities than those of ideal model. The index of concentration polarization which is an indication of the extent of concentration polarization is presented in Table 2 and defined as follows:21
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In addition, it can be observed that the curve depicting Joule–Thomson effect overlaps the curve showing ideal condition in both O2 and N2 cases. Therefore, it can be inferred that permeability of components are not affected remarkably by temperature. Besides, it can be observed that the behavior of O2 (Fig. 13(a)) has less proximity to the real gas behavior compared to that of N2 (Fig. 13(b)) which may be due to lower fugacity coefficient of O2 compared to that of N2 in feed stream (Table 2).
Although the mentioned non-ideal effects seem to affect the product purities at higher pressures, it can be observed that the behavior of both components were less affected by the accumulation of non-ideal effects (Fig. 14 and 15).
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Fig. 14 (a) O2 mole fraction in permeate-side stream (b) N2 mole fraction in feed-side stream along the active fiber length. (Feed pressure: 8 bar; other testing conditions are provided in Table 1, associated parameters related to each non-ideal effect are provided in Table 2.) |
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Fig. 15 (a) O2 mole fraction in permeate-side stream (b) N2 mole fraction in feed-side stream along the active fiber length. (Feed pressure: 10 bar; other testing conditions are provided in Table 1, associated parameters related to each non-ideal effect are provided in Table 2.) |
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