Elias Moubarak^1*, Seyed Mohamad Moosavi^1,2, Charithea Charalambous³, Susana Garcia³, Berend Smit^1*

1 Laboratory of Molecular Simulation, Institut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), Rue de l'Industrie 17, CH-1951 Sion, Valais, Switzerland

2 Department of Mathematics and Computer Science, Freie Universität Berlin, Arnimallee 6, 14195 Berlin, Germany

3 The Research Centre for Carbon Solutions (RCCS), School of Engineering and Physical Sciences, Heriot-Watt University, EH14 4AS Edinburgh, United Kingdom

* Corresponding authors emails: elias.moubarak@epfl.ch, berend.smit@epfl.ch

DOI10.24435/materialscloud:z6-t0 [version v1]

Publication date: Jun 20, 2022

How to cite this record

Elias Moubarak, Seyed Mohamad Moosavi, Charithea Charalambous, Susana Garcia, Berend Smit, Towards a robust evaluation of nanoporous materials for carbon capture applications, Materials Cloud Archive 2022.82 (2022), https://doi.org/10.24435/materialscloud:z6-t0

Description

In this paper, we present a workflow that is designed to work without manual intervention to efficiently predict, by using molecular simulations, the thermodynamic data that is needed to design a carbon capture process. We developed a procedure that does not rely on fitting of the adsorption isotherms. From molecular simulations, we can obtain accurate data for both, the pure component isotherms as well as the mixture isotherms. This allowed us to make a detailed comparison of the different methods to predict the mixture isotherms. All approaches rely on an accurate description of the pure component isotherms and a model to predict the mixture isotherms. As we are interested in low CO₂ concentrations, it is essential that these models correctly predict the low pressure limit, i.e., give a correct description of the Henry regime. Among the equations that describe this limit correctly, the dual-site Langmuir (DSL) model is often used for the pure components and the extended DSL (EDSL) for the mixtures. An alternative approach, which avoids describing the pure component isotherms with a model, is to numerically integrate the pure component isotherms in the context of IAST. In this work we compare these two methods. In addition, we show that the way these data are fitted for DSL can significantly impact the ranking of materials, in particular for capture processes with low concentration of CO₂ in the feed stream.

Materials Cloud sections using this data

Files

File name	Size	Description
Data.zip MD5md5:6297c5d96a062106544c3fe6f579d7d2	2.6 MiB	All the data used in the paper is uploaded in Data.zip
README.txt MD5md5:c9b3f31e68a06da844161e3d8df7c77b	2.0 KiB	Description of the content of Data.zip

License

Files and data are licensed under the terms of the following license: Creative Commons Attribution 4.0 International.
Metadata, except for email addresses, are licensed under the Creative Commons Attribution Share-Alike 4.0 International license.

External references

Keywords

Metal-Organic Frameworks (MOFs) Ideal Adsorbed Solution Theory (IAST) Dual Site Langmuir (DSL) Temperature Swing Adsorption (TSA)