RUPTURA: simulation code for breakthrough, ideal adsorption solution theory computations, and fitting of isotherm models

Shrinjay Sharma, Salvador R.G. Balestra, Richard Baur, Umang Agarwal, Erik Zuidema, Marcello S. Rigutto, Sofia Calero, Thijs J.H. Vlugt, David Dubbeldam (Corresponding author)

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17 Citaten (Scopus)
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Samenvatting

We present the RUPTURA code (https://github.com/iraspa/ruptura) as a free and open-source software package (MIT license) for (1) the simulation of gas adsorption breakthrough curves, (2) mixture prediction using methods like the Ideal Adsorption Solution Theory (IAST), segregated-IAST and explicit isotherm models, and (3) fitting of isotherm models on computed or measured adsorption isotherm data. The combination with the RASPA software enables computation of breakthrough curves directly from adsorption simulations in the grand-canonical ensemble. RUPTURA and RASPA have similar input styles. IAST is implemented near machine precision but we also provide several explicit mixture prediction methods that are non-iterative and potentially faster than IAST. The code supports a wide variety of isotherm models like Langmuir, Anti-Langmuir, BET, Henry, Freundlich, Sips, Langmuir-Freundlich, Redlich-Peterson, Toth, Unilan, O'Brian & Myers, Asymptotic Temkin, and Bingel & Walton. The isotherm model parameters can easily be obtained by the fitting module. Breakthrough plots and animations of the column properties are automatically generated. In addition to highlighting the code, we also review all the developed techniques from literature for mixture prediction, breakthrough simulations, and isotherm model fitting, and provide a tutorial discussing the workflows.

Originele taal-2Engels
Pagina's (van-tot)893-953
Aantal pagina's61
TijdschriftMolecular Simulation
Volume49
Nummer van het tijdschrift9
DOI's
StatusGepubliceerd - 2023

Bibliografische nota

Funding Information:
This work was sponsored by NWO Domain Science for the use of supercomputer facilities. This work is part of the Advanced Research Center for Chemical Building Blocks, ARC-CBBC, which is co-funded and co-financed by the Netherlands Organisation for Scientific Research (NWO) and the Netherlands Ministry of Economic Affairs and Climate Policy. SRGB was supported with Grant POSTDOC_21_00069 funded by Consejería de Transformación Económica, Industria, Conocimiento y Universidades and Agencia Andaluza del Conocimiento, Junta de Andalucía. We are thankful to C3UPO for the provided HPC facilities. The authors acknowledge the use of computational resources of DelftBlue supercomputer, provided by Delft High Performance Computing Centre (https://www.tudelft.nl/dhpc).

Financiering

This work was sponsored by NWO Domain Science for the use of supercomputer facilities. This work is part of the Advanced Research Center for Chemical Building Blocks, ARC-CBBC, which is co-funded and co-financed by the Netherlands Organisation for Scientific Research (NWO) and the Netherlands Ministry of Economic Affairs and Climate Policy. SRGB was supported with Grant POSTDOC_21_00069 funded by Consejería de Transformación Económica, Industria, Conocimiento y Universidades and Agencia Andaluza del Conocimiento, Junta de Andalucía. We are thankful to C3UPO for the provided HPC facilities. The authors acknowledge the use of computational resources of DelftBlue supercomputer, provided by Delft High Performance Computing Centre (https://www.tudelft.nl/dhpc).

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