2020
DOI: 10.1016/j.fuel.2019.116482
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Predicting the soot emission tendency of real fuels – A relative assessment based on an empirical formula

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Cited by 19 publications
(17 citation statements)
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“…To understand the above measured sooting propensity from the molecular structure point of view, we considered employing hydrogen deficiency (HD) as a measure for the presence of unsaturation and cyclic structure present in a molecule. This is to the extension of our earlier study [10] where we showed that the particle emissions measured in a ground-based V2527-A5 engine of an Airbus A320 can be extrapolated to other fuels using their HD and one reference measurement. This assessment was also observed to be extended to the smoke point and sooting tendency measurements from the literature.…”
Section: The Hydrogen Deficiency Approachmentioning
confidence: 63%
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“…To understand the above measured sooting propensity from the molecular structure point of view, we considered employing hydrogen deficiency (HD) as a measure for the presence of unsaturation and cyclic structure present in a molecule. This is to the extension of our earlier study [10] where we showed that the particle emissions measured in a ground-based V2527-A5 engine of an Airbus A320 can be extrapolated to other fuels using their HD and one reference measurement. This assessment was also observed to be extended to the smoke point and sooting tendency measurements from the literature.…”
Section: The Hydrogen Deficiency Approachmentioning
confidence: 63%
“…These results show that the hydrogen deficiency is a simple tool to gain information about the sooting propensity of fuels without doing extensive experiments or calculations. Furthermore, it was already shown in our recent publication in Kathrotia and Riedel [10] that though HD is merely the subset of H-content or H/C ratio of hydrocarbon molecule, it provides extrapolation of the known soot emissions. Compared to it, H/C ratio of the fuel can be linearly related to the emission, but this relationship is non-predictive, i.e., cannot be extended to predict soot emissions directly.…”
Section: Comparison With the Experimental Sooting Propensitymentioning
confidence: 98%
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“…Existing soot indices include the critical equivalence ratio (or C/O ratio) where soot starts to appear in premixed flames [27] or in a micro flow reactor (with maximum temperature below 1500 K) [ 28 , 29 ], the smoke point (SP) and threshold soot index (TSI) as determined from the critical flame height at which soot begins to emit from the flame tip in a wick-fed lamp or coflow burner [30] , [31] , [32] , and the yield sooting index (YSI) based on the measurement of peak soot volume fraction in a methane/air coflow diffusion flames by doping small amounts of target fuel [ 33 , 34 ]. Several numerical predictive models pertinent to YSI have also been developed [ 25 , [35] , [36] , [37] , [38] ]. Moreover, Barrientos et al.…”
Section: Introductionmentioning
confidence: 99%