Predict octane numbers using a generalized interaction method

Journal Article · Thu Feb 01 04:00:00 EST 1996 · Hydrocarbon Processing

OSTI ID:194910

Twu, C H; Coon, J E ^[1]

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1. Simulation Sciences, Inc., Brea, CA (United States)

An interaction-based correlation using a new approach can be used to predict research and motor octane numbers of gasoline blends. An ultimately detailed analysis of the gasoline cut is not necessary. This correlation can describe blending behavior over the entire composition range of gasoline cuts. The component-oriented interaction approach is general and will accurately predict, without performing additional blending studies, blending behavior for new gasoline cuts. The proposed correlation fits the data quite closely for blends of many gasoline cuts. The regression gives realistic values for binary interaction parameters between components. A unique set of binary interaction parameters was found for the equation for predicting octane number of any gasoline blend. The binary interaction parameters between components contained in gasoline cuts have been converted to binary interaction parameters between gasoline cuts through a general equation to simplify the calculations. Because of the proposed method`s accuracy, optimum allocation of components among gasoline grades can be obtained and predicted values can be used for quality control of the octane number of marketed gasolines.

• OSTI ID: 194910
• Journal Information: Hydrocarbon Processing, Journal Name: Hydrocarbon Processing Journal Issue: 2 Vol. 75; ISSN HYPRAX; ISSN 0018-8190
• Country of Publication: United States
• Language: English

Related Subjects

02 PETROLEUM
ANTIKNOCK RATINGS
CALCULATION METHODS
EQUATIONS
GASOLINE
MIXTURES
NUMERICAL DATA
REGRESSION ANALYSIS