Introduction

3P INSTRUMENTS offers two general ways to obtain information about mixed gas adsorption processes; first with the measurement of the dynamic sorption process with the mixSorb L (3P INSTRUMENTS) and second by use of the 3P sim software of the mixSorb L to calculate mixed gas data using pure gas isotherms. The mixSorb L offers the tools not only to measure the mixed gas isotherms in practice, but also to compare the results with various theories to include specific effects of the adsorption processes on the porous materials
investigated. The 3P sim software provides the ability to predict mixture equilibrium data by well-established models (Table 1). The 3P sim simulation software also provides the tools to estimate parameters for mixed gas separation processes such as the saturation capacity, the affinity constant, and the Sips exponent as well as the temperature dependencies of each.

Illustration of different calculations with mixture models using a 3D-plot
Figure 1. Illustration of different calculations with mixture models using a 3D-plot (black: total loading, green: partial loading component A, brown: partial loading component B, blue labelling: calculation with constant gas phase composition, red labelling: calculation with constant total pressure)

 Table 1. Models to Predict Mixture Equilibrium Data from Pure Component Isotherms Provided by 3Psim

Isotherm model

Maximal number of components provided by 3Psim

Remarks

IAST with Langmuir [1]

4

Solved by an iterative method for root determination

IAST with Toth [2]

4

Solved by Newton’s method

Multi component Langmuir (Markham and Benton) [3]

4

Simple, analytical solution

Multi-Component Sips [4]

4

Simplified equation, Simple, analytical

 


Experimental

For this study, gas adsorption isotherm data from other sources were used in combination with isotherms measured at different temperatures with a volumetric analyzer shown in Figure 2 for methane and Figure 3 for carbon dioxide.

Quantachrome iSorb: Methane isotherms on activated carbon A
Figure 2. Methane isotherms on activated carbon A for determination of isotherm parameters, measured with iSorb HP (Quantachrome). Fits are calculated data with Sips parameters from Table 2.
Quantachrome iSorb: CO2 isotherms on activated carbon A
Figure 3. Carbon dioxide isotherms on activated carbon A for determination of isotherm parameters, measured with iSorb HP (Quantachrome). Fits are calculated data with Sips parameters fromTable 2.

Results

The isotherm parameters listed in Table 2 were determined from the equilibrium data by use of the 3P-Sim software package.

By applying these isotherm parameters and calculations for non-isothermal conditions, the breakthrough behavior can be described with the 3P sim software package as seen in Figure 4.

From the fitting of the measured breakthrough curves, a linear driving force constant (LDF-value [3]) was determined to be 12 per minute for methane and 9 per minute for carbon dioxide for the activated carbon A under experimental conditions. Due to the similar LDF values for methane and carbon dioxide, it can be concluded that the measured separation effect is based on the different sorption capacities of both adsorptives and that there are no relevant steric kinetic separation effects on this material.

dynaSorb BT: Measured breakthrough curves for 15 % methane and 5 % carbon dioxide in helium and the calculated curves based on multi component Sips-model
Figure 4. Measured breakthrough curves for 15 % methane and 5 % carbon dioxide in helium and the calculated curves based on multi component Sips-model.

Table 2 SIPS-parameter calculated from isotherm (evaluation according to documentation in mixSorb L manual)

Isotherm parameter

Values for CH4

Values for CO2

Saturation capacity at 20 °C

8.561 mmol g-1

18.353 mmol g-1

Affinity constant at 20 °C

0.09386 bar-1

0,0862 bar-1

SIPS exponent at 20 °C

0.79614

0.7874

Temperature dependeny of affinity constant

10.7 kJ/mol

15.7 kJ mol

Temperature dependeny of saturation capacity

1.181

1.228

Temperature dependeny of exponent

0.4824

0.0642

 


Conclusion

Separation effects can be determined by measurement of the breakthrough curves of gas mixtures in a carrier gas using the mixSorb L. With the combination of the pure gas isotherms and their corresponding breakthrough curves along with data fitting using a dynamic model, LDF-constants can be estimated for further parametric studies to predict the source of the separation effect. It is possible to investigate adsorbents and their separation performance under real-world conditions using the dynamic method under lab conditions. Similar LDF-values from the 3P sim calculation shows that a separation effect is based on the difference in sorption capacities of both adsorptives and not on steric-kinetic separation effects.

References

[1] A. L. Myers, J.M. Prausnitz, AIChE Journal, 11, 1, (1965)
[2] J.-W. Ju, I. Neretnieks, Ind. Eng. Chem. Res, 29, (1990)
[3] D.M. Ruthven, Principles of Adsorption & Adsorption Processes, Wiley, New York, (1984)
[4] R.T. Yang, Gas Separation by Adsorption Processes, Imperial College Press, Butter worth, Boston, (1987)