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Prediction of the combustion properties of gasolines from the analysis of their composition
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Abstract
Some equations have been statistically obtained for calculating the combustion properties of gasolines from simple analytical data like density and FIA analysis (hydrocarbon composition: saturates, olefins, aromatics) or PONA analysis (hydrocarbon composition: paraffins, olefins, naphthenes, aromatics).
The equations have been obtained by applying multiple correlation analysis to data calculated for 66 commercial and 58 experimental gasolines knowing their GC composition and the properties of each hydrocarbon which were obtained from the literature.
The heat of combustion, and the Carbon to Hydrogen (C/H) ratio calculated by means of these equations have been experimentally verified by means of normal analytical methods.
Good agreement has been found for both these quantities and for the other combustion characteristics such as, air to fuel ratio (A/F), water of combustion, and molecular expansion, all of which are directly related to the above. The statistical analysis is based on the FIA and PONA data, and hence the validity of the equations obtained only holds for the field of applicability of these analytical methods.
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Citation
Sirtori, S., Garibaldi, P., and Vicenzetto, F., "Prediction of the combustion properties of gasolines from the analysis of their composition," SAE Technical Paper 741058, 1974, https://doi.org/10.4271/741058.Also In
References
- Bolt J. A. Derezinski S. J. Harrington D. L. SAE Paper 710207
- ASTM Special Technical Publication No. 109 A
- De Bruine W. Elison R. J. Gas Chromatography: An Application to the Measurement of Gasoline Volatility Inspection Properties J. Inst. Petrol 1973 59 568
- Adlard, E. R. Butlin, A. G. Caddock, B. D. Green, A. G. An Apparatus for the Characterization of Gasoline Volatility by Gas-liquid Chromatography J. Inst. Petrol. 1971 57 347
- Anderson, P. C Sharkey, J. M. Walsh, R. P. Calculation of the Research Octane Number of Motor Gasoline from Gas Chromatographic Data and a New Approach to Motor Gasoline Quality Control J. Inst. Petrol. 1972 58 83