Several studies have described research octane number (RON) determination based on chemical composition obtained from analyses using gas chromatography. This paper modifies the way of distributing separated hydrocarbons into groups for the purpose of finding an optimal correlation with RON, applied to FCC gasoline. The method includes two steps for selection and grouping of separated components, based on factors with the highest influence on RON. Determination of the structure and type of hydrocarbons contained in FCC gasoline samples is performed using an inhouse method, based on the data on the time of keeping clean compound, data from the mass spectra obtained by the connected gas chromatography-mass spectrometry system, data obtained by fluid chromatography and data obtained on the basis of bromizing the gasoline olefine fraction. For the purpose of setting up the correlation of FCC gasoline composition with RON, the components separated in FCC gasoline were distributed into 46 groups. The defined groups were assigned their accompanying hydrocarbon type determined according to the hydrocarbon or the complex which is most represented in the group. Their sum provided five independent variables for the regression analysis. The linear regression analysis provides the equation for calculating RON based on the chemical composition. The absolute aberration for 88% of the samples treated is up to 0.6 octanes, while the calculated repeatability is 0.172. This method requires only a small sample volume and is suitable for routine characterization and laboratory monitoring of the treatment process.

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  • Corporate Authors:

    Croatian Society for Fuels and Lubricants

    Berislaviceva 5
    HR-10000 Zagreb,   Croatia 
  • Authors:
    • Telen, S
    • Jambrec, N
    • Beer Romac, I S
  • Publication Date: 2003-3


  • English

Media Info

  • Features: Figures; References; Tables;
  • Pagination: p. 95-115
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00961795
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Aug 8 2003 12:00AM