2021
DOI: 10.1016/j.fluid.2021.113036
|View full text |Cite
|
Sign up to set email alerts
|

Development of a robust soft-SAFT model for protic ionic liquids using new high-pressure density data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
9

Relationship

3
6

Authors

Journals

citations
Cited by 11 publications
(4 citation statements)
references
References 61 publications
1
3
0
Order By: Relevance
“… 47 At atmospheric pressure, α p is monotonically increasing with increasing temperature for all the DBU-based PILs studied ( Figure S14 and Table S4 ). Similar behavior is expected for organic solvents, 48 and it is also reported for other protic 49 and aprotic ionic liquids. 50 A more pronounced temperature dependence is observed for the DBUH-IM14 ( Table S5 ), which contains the largest anion.…”
Section: Resultssupporting
confidence: 85%
“… 47 At atmospheric pressure, α p is monotonically increasing with increasing temperature for all the DBU-based PILs studied ( Figure S14 and Table S4 ). Similar behavior is expected for organic solvents, 48 and it is also reported for other protic 49 and aprotic ionic liquids. 50 A more pronounced temperature dependence is observed for the DBUH-IM14 ( Table S5 ), which contains the largest anion.…”
Section: Resultssupporting
confidence: 85%
“…Although soft-SAFT can successfully predict such an effect using only the pure-component parameters (see Figure S9, in the Supporting Information), the need for a BIP to obtain a quantitative agreement with the experimental data is expected; the main reason being the use of constant association parameters in the carboxylate-based PIL model developed in our previous work . Although such a simplification is necessary given the constrained parameterization of ILs in EoS models (i.e., vapor pressures, vaporization enthalpies, and other data commonly used for parameterization are not measurable for ILs), the resulting association parameters typically represent the average behavior of the homologous series of compounds being parameterized and not the value that best represents each IL.…”
Section: Results and Discussionmentioning
confidence: 99%
“…Among the most reported models for VLE descriptions are excess Gibbs energy-based models and cubic Equations of State (cEoS) based models. Other models, such as cEoS Plus Association (CPA) based models and models based on Statistical Associating Fluid Theory (SAFT) including soft SAFT and Perturbed Chain Statistical Associating Fluid Theory (PC-SAFT) , have recently received more attention.…”
Section: Introductionmentioning
confidence: 99%