Sooting Tendency of a Series of Kerosene Surrogates and Blends Containing Various Additives Considered as Sustainable Alternative Fuels

The present work aims at analyzing the sooting tendency of 32 additives considered as potential alternative transportation fuels including 4 C<sub>2</sub>-C<sub>5</sub> alcohols, 4 C<sub>7</sub>-C<sub>10</sub> esters, 16 C<sub>4</sub>-C<sub>7</sub> furans, 6 C<sub>10</sub> terpenes, and 2 pyrolysis oils (POs), some of which have seldom (if ever) been studied in the literature. The sooting propensity of each additive, following its mixture with a kerosene surrogate, was characterized using the oxygen extended sooting index (OESI), which is based on the measurement of the smoke point (SP), before being converted into unified index (UI) values for modeling purposes. To that end, a benchmarking analysis of the SP measurement approaches commonly used in the literature was first conducted. The SP of a series of reference fuels from the ASTM D1322 standard were measured using different methods to compare their precision, repeatability, and ease of use. This led to identifying the so-called vision-based algorithm-aided procedure as being the best suited. This method was then selected to test the ability of 8 model fuels to emulate the sooting propensity of a commercial Jet-A. Based on the results obtained, an <i>n</i>-dodecane/isocetane/mesitylene/<i>n</i>-propylbenzene blend was chosen to be mixed with up to 40 vol % of additives. The measured UI showed that each tested fuel, except for one terpene (myrcene), soots less than the kerosene surrogate. Their soot-suppressing effect was found to decrease in the following order: alcohols > esters > furans > terpenes. Measured data, moreover, allowed extending the predictive capability of a group contribution model (GCM) recently developed through the proposal of dedicated submodels integrating 15 sooting propensity factors suitable for predicting the tendency to soot of furans and terpenes. While satisfactorily simulating measured data, the GCM proved to be valuable for identifying the chemical structures influencing soot production. Finally, although POs exhibit low UI, their high water content, among other things, removes them from consideration as attractive additives.

Authors

Institutions

Publication Details

Journal
Energy & Fuels
Published
2025-03-28
DOI
https://doi.org/10.1021/acs.energyfuels.5c00385
Citations
3
Primary Topic
Advanced Combustion Engine Technologies
Type
article
Field-Weighted Citation Impact
2.16

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sooting Tendency of a Series of Kerosene Surrogates and Blends Containing Various Additives Considered as Sustainable Alternative Fuels

Patrice Seers, R. Lemaire, Simon Laflamme, Carl Rainville et al.
3 citations
Energy & Fuels
Advanced Combustion Engine Technologies
2.16
article

Sooting Tendency of a Series of Kerosene Surrogates and Blends Containing Various Additives Considered as Sustainable Alternative Fuels

Patrice Seers, R. Lemaire, Simon Laflamme, Carl Rainville, Ibrahima Souno
article en
3 citations

Abstract

The present work aims at analyzing the sooting tendency of 32 additives considered as potential alternative transportation fuels including 4 C<sub>2</sub>-C<sub>5</sub> alcohols, 4 C<sub>7</sub>-C<sub>10</sub> esters, 16 C<sub>4</sub>-C<sub>7</sub> furans, 6 C<sub>10</sub> terpenes, and 2 pyrolysis oils (POs), some of which have seldom (if ever) been studied in the literature. The sooting propensity of each additive, following its mixture with a kerosene surrogate, was characterized using the oxygen extended sooting index (OESI), which is based on the measurement of the smoke point (SP), before being converted into unified index (UI) values for modeling purposes. To that end, a benchmarking analysis of the SP measurement approaches commonly used in the literature was first conducted. The SP of a series of reference fuels from the ASTM D1322 standard were measured using different methods to compare their precision, repeatability, and ease of use. This led to identifying the so-called vision-based algorithm-aided procedure as being the best suited. This method was then selected to test the ability of 8 model fuels to emulate the sooting propensity of a commercial Jet-A. Based on the results obtained, an <i>n</i>-dodecane/isocetane/mesitylene/<i>n</i>-propylbenzene blend was chosen to be mixed with up to 40 vol % of additives. The measured UI showed that each tested fuel, except for one terpene (myrcene), soots less than the kerosene surrogate. Their soot-suppressing effect was found to decrease in the following order: alcohols > esters > furans > terpenes. Measured data, moreover, allowed extending the predictive capability of a group contribution model (GCM) recently developed through the proposal of dedicated submodels integrating 15 sooting propensity factors suitable for predicting the tendency to soot of furans and terpenes. While satisfactorily simulating measured data, the GCM proved to be valuable for identifying the chemical structures influencing soot production. Finally, although POs exhibit low UI, their high water content, among other things, removes them from consideration as attractive additives.

Energy & FuelsVol. 39(14)
École de Technologie Supérieure (CA)
Natural Sciences and Engineering Research Council of Canada
Responsible consumption and production
Openalex Percentile: Top 14%
Advanced Combustion Engine Technologies
2.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.