Repository logo
  • Log In
    Log in via Symplectic to deposit your publication(s).
Repository logo
  • Communities & Collections
  • Research Outputs
  • Statistics
  • Log In
    Log in via Symplectic to deposit your publication(s).
  1. Home
  2. Faculty of Engineering
  3. Chemical Engineering
  4. Chemical Engineering
  5. Predictive models for the phase behaviour and solution properties of weak electrolytes: nitric, sulfuric and carbonic acid
 
  • Details
Predictive models for the phase behaviour and solution properties of weak electrolytes: nitric, sulfuric and carbonic acid
File(s)
Khons et al PCCP 2020 Accepted.pdf (1.1 MB)
Accepted version
Author(s)
Kohns, Maximilan
Lazarou, Georgia
Forte, Esther
Perdomo Hurtado, Felipe
Kournopoulos, Spiros
more
Type
Journal Article
Abstract
The distribution of ionic species in electrolyte systems is important in many fields of science and engineering, ranging from the study of degradation mechanisms to the design of systems for electrochemical energy storage. Often, other phenomena closely related to the ionic speciation, such as ion pairing, clustering and hydrogen bonding, which are difficult to investigate experimentally, are also of interest. Here, we develop an accurate molecular approach, accounting for reactions as well as association and ion pairing, to deliver a predictive framework that helps validate experiment and guides future modelling of speciation phenomena of weak electrolytes. We extend the SAFT-VRE Mie equation of state [D. K. Eriksen et al., Mol. Phys., 2016, 114, 2724–2749] to study aqueous solutions of nitric, sulphuric and carbonic acid, considering complete and partially dissociated models. In order to incorporate the dissociation equilibria, correlations to experimental data for the relevant thermodynamic equilibrium constants of the dissociation reactions are taken from the literature and are imposed as a boundary condition in the calculations. The models for water, the hydronium ion, and carbon dioxide are treated as transferable and are taken from our previous work. Here we present new molecular models for nitric acid, and the nitrate, bisulfate, sulfate, and bicarbonate anions. The resulting framework is used to predict a range of phase behaviour and solution properties of the aqueous acids over wide ranges of concentration and temperature, including the degree of dissociation, as well as the activity coefficients of the ionic species, and the activity of water and osmotic coefficient, density, and vapour pressure of the solutions. The SAFT-VRE Mie models obtained in this manner provide a means of elucidating the mechanisms of association and ion pairing in the systems studied, complementing the experimental observations reported in the literature.
Date Issued
2020-07-21
Date Acceptance
2020-03-17
Citation
Physical Chemistry Chemical Physics, 2020, 22 (27), pp.15248-15269
URI
http://hdl.handle.net/10044/1/77577
DOI
https://www.dx.doi.org/10.1039/C9CP06795G
ISSN
1463-9076
Publisher
Royal Society of Chemistry
Start Page
15248
End Page
15269
Journal / Book Title
Physical Chemistry Chemical Physics
Volume
22
Issue
27
Copyright Statement
© The Royal Society of Chemistry 2020
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Qatar National Research Fund
Royal Academy Of Engineering
Engineering & Physical Science Research Council (EPSRC)
National Nuclear Laboratory (NNL)
Eli Lilly & Company (USA)
Grant Number
EP/J014958/1
Subaward no. M1601174
RCSRF1819\7\33
EP/E016340/1
PO no. 1013534 & 1013536
4900606521
Subjects
02 Physical Sciences
03 Chemical Sciences
09 Engineering
Chemical Physics
Publication Status
Published
Date Publish Online
2020-03-23
About
Spiral Depositing with Spiral Publishing with Spiral Symplectic
Contact us
Open access team Report an issue
Other Services
Scholarly Communications Library Services
logo

Imperial College London

South Kensington Campus

London SW7 2AZ, UK

tel: +44 (0)20 7589 5111

Accessibility Modern slavery statement Cookie Policy

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback