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Molecular Simulation of Vapor–Liquid Equilibria Using the Wolf Method for Electrostatic Interactions

[Image: see text] The applicability of the Wolf method for calculating electrostatic interactions is verified for simulating vapor–liquid equilibria of hydrogen sulfide, methanol, and carbon dioxide. Densities, chemical potentials, and critical properties are obtained with Monte Carlo simulations us...

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Autores principales: Hens, Remco, Vlugt, Thijs J. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6150682/
https://www.ncbi.nlm.nih.gov/pubmed/30258248
http://dx.doi.org/10.1021/acs.jced.7b00839
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author Hens, Remco
Vlugt, Thijs J. H.
author_facet Hens, Remco
Vlugt, Thijs J. H.
author_sort Hens, Remco
collection PubMed
description [Image: see text] The applicability of the Wolf method for calculating electrostatic interactions is verified for simulating vapor–liquid equilibria of hydrogen sulfide, methanol, and carbon dioxide. Densities, chemical potentials, and critical properties are obtained with Monte Carlo simulations using the Continuous Fractional Component version of the Gibbs Ensemble. Saturated vapor pressures are obtained from NPT simulations. Excellent agreement is found between simulation results and data from literature (simulations using the Ewald summation). It is also shown how to choose the optimal parameters for the Wolf method. Even though the Wolf method requires a large simulation box in the gas phase, due to the lack of screening of electrostatics, one can consider the Wolf method as a suitable alternative to the Ewald summation in VLE calculations.
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spelling pubmed-61506822018-09-24 Molecular Simulation of Vapor–Liquid Equilibria Using the Wolf Method for Electrostatic Interactions Hens, Remco Vlugt, Thijs J. H. J Chem Eng Data [Image: see text] The applicability of the Wolf method for calculating electrostatic interactions is verified for simulating vapor–liquid equilibria of hydrogen sulfide, methanol, and carbon dioxide. Densities, chemical potentials, and critical properties are obtained with Monte Carlo simulations using the Continuous Fractional Component version of the Gibbs Ensemble. Saturated vapor pressures are obtained from NPT simulations. Excellent agreement is found between simulation results and data from literature (simulations using the Ewald summation). It is also shown how to choose the optimal parameters for the Wolf method. Even though the Wolf method requires a large simulation box in the gas phase, due to the lack of screening of electrostatics, one can consider the Wolf method as a suitable alternative to the Ewald summation in VLE calculations. American Chemical Society 2017-12-13 2018-04-12 /pmc/articles/PMC6150682/ /pubmed/30258248 http://dx.doi.org/10.1021/acs.jced.7b00839 Text en Copyright © 2017 American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes.
spellingShingle Hens, Remco
Vlugt, Thijs J. H.
Molecular Simulation of Vapor–Liquid Equilibria Using the Wolf Method for Electrostatic Interactions
title Molecular Simulation of Vapor–Liquid Equilibria Using the Wolf Method for Electrostatic Interactions
title_full Molecular Simulation of Vapor–Liquid Equilibria Using the Wolf Method for Electrostatic Interactions
title_fullStr Molecular Simulation of Vapor–Liquid Equilibria Using the Wolf Method for Electrostatic Interactions
title_full_unstemmed Molecular Simulation of Vapor–Liquid Equilibria Using the Wolf Method for Electrostatic Interactions
title_short Molecular Simulation of Vapor–Liquid Equilibria Using the Wolf Method for Electrostatic Interactions
title_sort molecular simulation of vapor–liquid equilibria using the wolf method for electrostatic interactions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6150682/
https://www.ncbi.nlm.nih.gov/pubmed/30258248
http://dx.doi.org/10.1021/acs.jced.7b00839
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