2022
DOI: 10.1002/aic.17888
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Development of energy‐optimum aromatic extraction processes using ionic liquid [EMIM][NTf2]

Abstract: There is industrial incentive to extract aromatics from ethylene cracker feeds, but the conventional sulfolane solvent was found not economical by Meindersma and coworkers. Ionic liquids (ILs) have long been considered alternative aromatic extraction solvents. This work develops energy‐optimum aromatic extraction processes for an ethylene cracker feed using IL solvents. We avoid pitfalls of using simplified feeds and a priori thermodynamic property estimates, with the largest set of experimentally regressed UN… Show more

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Cited by 8 publications
(26 citation statements)
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References 31 publications
(201 reference statements)
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“…Figure 1 and extractive distillation ($348-448 K) processes, as discussed in our associated modeling work. 52 We show the predicted IDAC for hydrocarbon components over the full process temperature range in Figures S1-S3 of the Supplement Material, demonstrating consistency of extrapolated predictions at higher temperatures.…”
Section: Regression Weightingmentioning
confidence: 53%
See 4 more Smart Citations
“…Figure 1 and extractive distillation ($348-448 K) processes, as discussed in our associated modeling work. 52 We show the predicted IDAC for hydrocarbon components over the full process temperature range in Figures S1-S3 of the Supplement Material, demonstrating consistency of extrapolated predictions at higher temperatures.…”
Section: Regression Weightingmentioning
confidence: 53%
“…We lower weights of: (1) data that are apparent outliers; (2) datasets with large numbers of data points that dominate the regression at the expense of other datasets; and (3) single‐temperature point data. Preserving trends of temperature dependency is important, since none of the experimental data covers the operating temperature ranges of the liquid extraction (~323–373 K) and extractive distillation (~348–448 K) processes, as discussed in our associated modeling work 52 . We show the predicted IDAC for hydrocarbon components over the full process temperature range in Figures S1–S3 of the Supplement Material, demonstrating consistency of extrapolated predictions at higher temperatures.…”
Section: Experimental Data Collection and Data Regressionmentioning
confidence: 88%
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