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Prediction of the distillation profile and cold properties of diesel fuels using mid-IR spectroscopy and neural networks

Pasadakis Nikos, S. Sourligas, Ch. Foteinopoulos

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/62360FA9-A7AF-4A08-93B8-B5C95A4BFC4F
Έτος 2006
Τύπος Δημοσίευση σε Περιοδικό με Κριτές
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά N. Pasadakis, S. Sourligas, Ch. Foteinopoulos: “Prediction of the distillation profile and cold properties of diesel fuels using mid-IR spectroscopy and neural networks”,Fuel, Volume 85, Issues 7–8, May 2006, Pages 1131–1137, DOI:10.1016/j.fuel.2005.09.016 https://doi.org/ 10.1016/j.fuel.2005.09.016
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Περίληψη

In this paper, the distillation curve points and certain cold properties of diesel fuel fractions were determined by means of mid infrared spectroscopy (IR) and artificial neural networks (ANNs). Distinct ANN models were developed for the prediction of the distillation curve with 5% recovery increment, and for the pour (PP) and cloud (CP) points. The properties of interest were measured experimentally following standard ASTM methods. The developed prediction algorithms were tested on unseen data and exhibited high level of accuracy, comparable to the one of the standard laboratory methods. The presented algorithms can be used as a rapid and reliable tool in quality control applications of the various fractions involved in diesel fuel production, since they can determine several important properties simultaneously based on a single and fast IR measurement

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