Towards Fuel Composition and Properties From Two-Dimensional Gas Chromatography With Flame Ionization and Vacuum Ultraviolet Spectroscopy

Heyne, Joshua; Bell, David C; Feldhausen, John; Yang, Zhibin; Boehm, Randall C; United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment; University of Dayton

doi:10.1016/j.fuel.2021.122709

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Towards Fuel Composition and Properties From Two-Dimensional Gas Chromatography With Flame Ionization and Vacuum Ultraviolet Spectroscopy

2021-12-01
By Heyne, Joshua ; Bell, David C ; Feldhausen, John ; ...

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Creators:

Heyne, Joshua ; Bell, David C ; Feldhausen, John ; Yang, Zhibin ; Boehm, Randall C

Heyne, Joshua ; Bell, David C ; Feldhausen, John ; Yang, Zhibin ; Boehm, Randall C Less -
Corporate Creators:

United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment ; University of Dayton

United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment ; University of Dayton Less -
Corporate Contributors:

United States. Department of Transportation. Federal Aviation Administration. Office of Environment and Energy
Subject/TRT Terms:

[+]

Aircraft Fuels ASCENT Dynamic Models Gas Chromatography GCxGC Jet Engine Fuels Jet Fuel Property Modeling Sustainable Aviation Fuel Sustainable Transportation Ultraviolet Spectroscopy VUV
Publication/ Report Number:

j.fuel.2021.122709
DOI:

https://doi.org/10.1016/j.fuel.2021.122709
Resource Type:

Journal Article
Right Statement:

Open Access; https://creativecommons.org/licenses/by/4.0/
Geographical Coverage:

United States
Corporate Publisher:

Elsevier
Abstract:

Already low volume (<1mL) test methods facilitate the development of sustainable aviation fuel platforms and higher fidelity computational methods. Here a novel technique with two-dimensional gas chromatography (GCxGC) and Vacuum Ultraviolet (VUV) identification is used to characterize fuel composition and determine properties compared to previous work. Ten properties are predicted, including the temperature dependence of density, viscosity, thermal conductivity, and heat capacity. Property predictions incorporate uncertainty quantification (UQ) from analyte quantification (UQ1), root property uncertainty (UQ2), and the uncertainty associated with isomeric variance (UQ3), when an analyte is not identified via VUV. Comparisons to a previous method illustrate the ability of VUV identification to increase the fidelity of property predictions and decrease uncertainties. This method is applied to a surrogate intended to mimic the first-order properties and composition of a representative Jet A/A-1. In addition to nominal and temperature-dependent properties, the derived cetane number (DCN) of the surrogate is calculated for the distillation fraction evolved. The DCN there is shown to vary across the fraction of fuel distilled. Collectively, this method documents a process to prescreen novel sustainable aviation fuel candidates, facilitate the development of chemical process models, and automate property determinations for computational fluid dynamics.
Content Notes:

This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Please cite this article as: Joshua Heyne, David Bell, John Feldhausen, Zhibin Yang, Randall Boehm, Towards fuel composition and properties from Two-dimensional gas chromatography with flame ionization and vacuum ultraviolet spectroscopy, Fuel, Volume 312, 2022, 122709, ISSN 0016-2361, https://doi.org/10.1016/j.fuel.2021.122709
Format:

PDF
Funding:

13-C-AJFF-UD-026
Collection(s):

Federal Aviation Administration
Main Document Checksum:

[+]

urn:sha256:29257b47971d2b2c1a3dbc5a3926c2a0ea0dcf53ea8501ebc51f72e5260c625c
Download URL:

https://rosap.ntl.bts.gov/view/dot/64805/dot_64805_DS1.pdf
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Towards Fuel Composition and Properties From Two-Dimensional Gas Chromatography With Flame Ionization and Vacuum Ultraviolet Spectroscopy

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