Sensitivity analysis of fuel types and operational parameters on the particulate matter emissions from an aviation piston engine burning heavy fuels

•PM emissions from an aviation compression ignition engine were reported.•Effects of fuel type and engine parameters on PM emissions were quantified.•Accumulation mode PM obtained from SMPS fit AVL Opacimeter data.•RP3 and FT fuels exhibited lower PM emissions compared with diesel. Currently, genera...

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Veröffentlicht in:Fuel (Guildford) 2017-08, Vol.202, p.520-528
Hauptverfasser: Chen, Longfei, Liang, Zhirong, Liu, Haoye, Ding, Shirun, Li, Yanfei
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creator Chen, Longfei
Liang, Zhirong
Liu, Haoye
Ding, Shirun
Li, Yanfei
description •PM emissions from an aviation compression ignition engine were reported.•Effects of fuel type and engine parameters on PM emissions were quantified.•Accumulation mode PM obtained from SMPS fit AVL Opacimeter data.•RP3 and FT fuels exhibited lower PM emissions compared with diesel. Currently, general aviation aircrafts have growing demand for internal combustion engines burning heavy fuels (i.e. diesel or kerosene) due to the concerns on the safety, costs and availability of aviation gasoline (AVGAS). The application of heavy fuels requires the change of combustion mode from pre-mixed mode to diffusion mode, which will inevitably increase the particulate matter (PM) emissions as incomplete combustion products. In this work, the size-resolved number concentrations of the PM emissions emitted from an internal compression ignition engine burning diesel, RP3 and Fischer-Tropsch (FT) kerosene were studied by a Scanning Mobility Particle Sizer Spectrometer (SMPS). An opacimeter was utilized to measure the opacity of the soot emissions (linearly related to the soot mass), which was in consistent with the SMPS data. Results demonstrated that the FT fuel produced the lowest PM emissions due to absence of sulfur and aromatic contents. Diesel turned out to have the greatest ‘sooting’ tendency and produced more accumulation mode PM in number than FT fuel by a factor of four, and more PM in mass by approximately three times. Moreover, the effects of fuel types and engine operational parameters were quantified in a systematic manner by adopting the Response Surface Method (RSM) in Design of Experiments (DoE). According to the ANOVA (Analysis of Variance), the DoE derived model was statistically significant and demonstrated that the engine load was the dominant factor for soot generation, followed by injection pressure and fuel types. Relevant combustion parameters and their link with PM emissions were further discussed, illustrating that atomization process had great impact on the ignition delay and thus affected soot generation.
doi_str_mv 10.1016/j.fuel.2017.04.052
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Currently, general aviation aircrafts have growing demand for internal combustion engines burning heavy fuels (i.e. diesel or kerosene) due to the concerns on the safety, costs and availability of aviation gasoline (AVGAS). The application of heavy fuels requires the change of combustion mode from pre-mixed mode to diffusion mode, which will inevitably increase the particulate matter (PM) emissions as incomplete combustion products. In this work, the size-resolved number concentrations of the PM emissions emitted from an internal compression ignition engine burning diesel, RP3 and Fischer-Tropsch (FT) kerosene were studied by a Scanning Mobility Particle Sizer Spectrometer (SMPS). An opacimeter was utilized to measure the opacity of the soot emissions (linearly related to the soot mass), which was in consistent with the SMPS data. Results demonstrated that the FT fuel produced the lowest PM emissions due to absence of sulfur and aromatic contents. Diesel turned out to have the greatest ‘sooting’ tendency and produced more accumulation mode PM in number than FT fuel by a factor of four, and more PM in mass by approximately three times. Moreover, the effects of fuel types and engine operational parameters were quantified in a systematic manner by adopting the Response Surface Method (RSM) in Design of Experiments (DoE). According to the ANOVA (Analysis of Variance), the DoE derived model was statistically significant and demonstrated that the engine load was the dominant factor for soot generation, followed by injection pressure and fuel types. 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source Elsevier ScienceDirect Journals Complete
subjects Atomizing
Aviation piston engine
Burning
Combustion
Combustion products
Compression
Data processing
Design of Experiments
Diesel
Diesel engines
Emission measurements
Emissions
Fuels
Gasoline
Ignition
Internal combustion engines
Kerosene
Opacity
Parameter sensitivity
Particulate emissions
Particulate matter
Particulates
Response Surface Method
Response surface methodology
RP3
Sensitivity analysis
Soot
Spontaneous combustion
Statistical analysis
Sulfur
Variance analysis
title Sensitivity analysis of fuel types and operational parameters on the particulate matter emissions from an aviation piston engine burning heavy fuels
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