Models for aromatics in gasolines based on near infrared spectroscopy, NIR, and multivariate calibration. Comparison with models for aromatics in kerosenes
The objective of this work was to find a model which could predict the percentage of aromatics in gasolines from a near infrared spectra (NIR) of the gasolines. To do this we use a new method developed by Vigerust et al. (1992) which is based on Multivariate Statistical Calibration of NIR spectra. A calibration model is developed based on a calibration set consisting of gasoline samples where both the NIR spectra and the percentage of aromatics are known. By using calibration models like this Vigerust et al. (1992) have shown that the time required for determining aromatics in kerosenes during refinery processes can be reduced about 90%. Other examples of economic and environmental utility of using multivariate calibration are given in Seip (1993). We also wanted to examine if there are parts of the spectra which more directly give information about the aromatics than other parts. Finally we wanted to compare a model for aromatics in kerosene to a model for aromatics in gasoline to see if the kerosene model can be used on the gasoline data and vice versa.
- Research Organization:
- Selskapet for Industriell og Teknisk Forskning, Trondheim (Norway). Avd. for Industriell Kjemi
- OSTI ID:
- 5276124
- Report Number(s):
- PB-94-132123/XAB; STF--27-A93024
- Country of Publication:
- United States
- Language:
- English
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