Overview of the National Jet Fuels Combustion Program
Abstract
This paper provides an overview of the National Jet Fuels Combustion Program led by the Federal Aviation Administration, the U.S. Air Force Research Laboratory, and the NASA. The program follows from basic research from the U.S. Air Force Office of Scientific Research and results from the engine-company-led Combustion Rules and Tools program funded by the U.S. Air Force. The overall objective of this fuels program was to develop combustion-related generic test and modeling capabilities that can improve the understanding of the impact of fuel chemical composition and physical properties on combustion, leading to accelerating the approval process of new alternative jet fuels. In this paper, the motivation and objectives for the work, participating universities, gas-turbine-engine companies, other federal agencies, and international partners are described. This paper provides an in-depth discussion on the benefits to the fuels approval process, the rationale in selecting conventional and alternative fuels to study, the referee rig used for fuel testing, and the modeling approaches. High-level results are also briefly discussed, and will be covered in detail in separate university-led papers. Lastly, an Appendix reviewing past programs, events, and workshops that lay the groundwork for this program is also included for reference.
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The National Jet Fuels Combustion Program (NJFCP) and the JET fuel SCREENing and optimization (JETSCREEN) program have identified multiple prescreening methods.
“The National Jet Fuels Combustion Program (NJFCP [7]) and the JET fuel SCREENing and optimization (JETSCREEN [8]) program have identified multiple prescreening methods.”
From Sustainable aviation fuel prescreening tools and procedures (2021) · cites this paper as [7]
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- Authors
- Colket, M., Heyne, J., Rumizen, M., Gupta, M., Edwards, T., Roquemore, W. M., Andac, G., Boehm, R., Lovett, J., Williams, R., Condevaux, J., Turner, D., Rizk, N., Tishkoff, J., Li, C., Moder, J., Friend, D., & Sankaran, V.
- Affiliations
- United Technologies (United States) (US)
- University of Dayton (US)
- Federal Aviation Administration (US)
- United States Air Force Research Laboratory (US)
- Glenn Research Center (US)
- United States Air Force Office of Scientific Research (US)
- Pratt & Whitney (United States) (US)
- Honeywell (United States) (US)
- Williams International, Walled Lake, Michigan 48390
- Rolls-Royce (United States) (US)
- United States Air Force (US)
- NASA John H. Glenn Research Center at Lewis Field, Cleveland, Ohio 44135
- National Institute of Standards and Technology (US)
- United Technologies Research Center, East Hartford, Connecticut 06108
- Venue
- AIAA Journal
- Published
- 2017-04
- Volume
- 55
- Issue
- 4
- Pages
- 1087-1104
- ISSN
- 0001-1452 (ISSN-L)
- 1533-385X
- OpenAlex
- W2323111194
- Cited by
- 279
- References
- 30
- Citations by year
- 2026: 32 · 2025: 25 · 2024: 34 · 2023: 31 · 2022: 27 · 2021: 38 · 2020: 28 · 2019: 27 · 2018: 22 · 2017: 11 · 2016: 4
- FWCI
- 16.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- AIAA Journal (publishedVersion)
- Topics
- Physical Sciences › Chemical Engineering › Fluid Flow and Transfer Processes › Advanced Combustion Engine Technologies
- Physical Sciences › Engineering › Computational Mechanics › Heat transfer and supercritical fluids
- Physical Sciences › Engineering › Computational Mechanics › Combustion and flame dynamics
- Keywords
- jet fuel, combustion, alternative jet fuels, fuel composition, fuel physical properties, gas turbines, combustion modeling, fuel testing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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