Model-Based Compositional Predictions for a Differential Scanning Calorimetry/Thermogravimetric Analysis-Mass Spectrometry System Used for Heat of Vaporization Measurements

Abhijit Dutta, Gina Fioroni, Earl Christensen, Cameron Hays, Lisa Fouts, Suphat Watanasiri, Robert McCormick

Research output: Contribution to journalArticlepeer-review

1 Scopus Citations

Abstract

A Differential Scanning Calorimetry/Thermogravimetric Analysis (DSC/TGA) procedure for determination of Heat of Vaporization (HOV) of fuel and surrogate fuel mixtures has been previously utilized for evaluation of oxygenate impacts on spark ignition fuels. This analysis has been further leveraged with mass spectrometry (MS) to elucidate vapor phase compositional changes during evaporation. In this article we focus on a simple system of three compounds (ethanol, n-hexane, and n-octane) to provide a model-based understanding of the evaporation process under these experimental conditions. An Aspen Plus model was set up to provide liquid and vapor phase concentration predictions during mixture evaporation using the initial mixture composition, and measured temperature and mass loss profiles from DSC/TGA experiments. Agreements between the trends of the MS ion count profiles and model composition predictions provide a degree of validation of this modeling approach that can allow the interpretation and extrapolation of DSC/TGA measurements for more complex fuel mixtures.

Original languageAmerican English
Article number123550
Number of pages4
JournalFuel
Volume318
DOIs
StatePublished - 2022

Bibliographical note

Publisher Copyright:
© 2022 Elsevier Ltd

NREL Publication Number

  • NREL/JA-5100-81445

Keywords

  • Aspen Plus modeling
  • Differential scanning calorimetry (DSC)
  • Ethanol hydrocarbon mixture
  • Heat of vaporization (HOV)
  • Mass spectrometry (MS)
  • Thermogravimetric analysis (TGA)

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