skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A study of jet fuel sooting tendency using the threshold sooting index (TSI) model

Abstract

Fuel composition can have a significant effect on soot formation during gas turbine combustion. Consequently, this paper contains a comprehensive review of the relationship between fuel hydrocarbon composition and soot formation in gas turbine combustors. Two levels of correlation are identified. First, lumped fuel composition parameters such as hydrogen content and smoke point, which are conventionally used to represent fuel sooting tendency, are correlated with soot formation in practical combustors. Second, detailed fuel hydrocarbon composition is correlated with these lumped parameters. The two-level correlation makes it possible to predict soot formation in practical combustors from basic fuel composition data. Threshold sooting index (TSI), which correlates linearly with the ratio of fuel molecular weight and smoke point in a diffusion flame, is proposed as a new lumped parameter for sooting tendency correlation. It is found that the TSI model correlates excellently with hydrocarbon compositions over a wide range of fuel samples. Also, in predicting soot formation in actual combustors, the TSI model produces the best results overall in comparison with other previously reported correlating parameters, including hydrogen content, smoke point, and composite predictors containing more than one parameter. (author)

Authors:
; ;  [1]
  1. The Energy Institute, The Pennsylvania State University, University Park, PA 16802 (United States)
Publication Date:
OSTI Identifier:
20880648
Resource Type:
Journal Article
Journal Name:
Combustion and Flame
Additional Journal Information:
Journal Volume: 149; Journal Issue: 1-2; Other Information: Elsevier Ltd. All rights reserved; Journal ID: ISSN 0010-2180
Country of Publication:
United States
Language:
English
Subject:
02 PETROLEUM; COMBUSTION PROPERTIES; GAS TURBINES; SOOT; HYDROGEN; FUEL GAS; HYDROCARBONS; COMBUSTORS; CORRELATIONS; COMBUSTION; JET ENGINE FUELS; COMPARATIVE EVALUATIONS; REVIEWS; MOLECULAR WEIGHT; CHEMICAL COMPOSITION; MATHEMATICAL MODELS

Citation Formats

Yang, Yi, Boehman, Andre L, and Santoro, Robert J. A study of jet fuel sooting tendency using the threshold sooting index (TSI) model. United States: N. p., 2007. Web. doi:10.1016/J.COMBUSTFLAME.2006.11.007.
Yang, Yi, Boehman, Andre L, & Santoro, Robert J. A study of jet fuel sooting tendency using the threshold sooting index (TSI) model. United States. https://doi.org/10.1016/J.COMBUSTFLAME.2006.11.007
Yang, Yi, Boehman, Andre L, and Santoro, Robert J. 2007. "A study of jet fuel sooting tendency using the threshold sooting index (TSI) model". United States. https://doi.org/10.1016/J.COMBUSTFLAME.2006.11.007.
@article{osti_20880648,
title = {A study of jet fuel sooting tendency using the threshold sooting index (TSI) model},
author = {Yang, Yi and Boehman, Andre L and Santoro, Robert J},
abstractNote = {Fuel composition can have a significant effect on soot formation during gas turbine combustion. Consequently, this paper contains a comprehensive review of the relationship between fuel hydrocarbon composition and soot formation in gas turbine combustors. Two levels of correlation are identified. First, lumped fuel composition parameters such as hydrogen content and smoke point, which are conventionally used to represent fuel sooting tendency, are correlated with soot formation in practical combustors. Second, detailed fuel hydrocarbon composition is correlated with these lumped parameters. The two-level correlation makes it possible to predict soot formation in practical combustors from basic fuel composition data. Threshold sooting index (TSI), which correlates linearly with the ratio of fuel molecular weight and smoke point in a diffusion flame, is proposed as a new lumped parameter for sooting tendency correlation. It is found that the TSI model correlates excellently with hydrocarbon compositions over a wide range of fuel samples. Also, in predicting soot formation in actual combustors, the TSI model produces the best results overall in comparison with other previously reported correlating parameters, including hydrogen content, smoke point, and composite predictors containing more than one parameter. (author)},
doi = {10.1016/J.COMBUSTFLAME.2006.11.007},
url = {https://www.osti.gov/biblio/20880648}, journal = {Combustion and Flame},
issn = {0010-2180},
number = 1-2,
volume = 149,
place = {United States},
year = {Sun Apr 15 00:00:00 EDT 2007},
month = {Sun Apr 15 00:00:00 EDT 2007}
}