Volume 40, Issue 5 pp. 1008-1015
Research Article

Substitute Composition of Naphtha Based on Density, SIMDIST, and PIONA for Modeling of Steam Cracking

Adam Karaba

Corresponding Author

Adam Karaba

University of Chemistry and Technology Prague, Faculty of Chemical Technology, Department of Organic Technology, Technická 5, 166 28 Prague 6, Czech Republic

Unipetrol Centre for Research and Education (UniCRE), Revoluční 1521/84, 2 400 01 Ústí nad Labem, Czech Republic

Correspondence: Adam Karaba Petr Zámostný ([email protected] [email protected]), University of Chemistry and Technology Prague, Faculty of Chemical Technology, Department of Organic Technology, Technická 5, 166 28 Prague 6, Czech Republic.Search for more papers by this author
Petr Zámostný

Corresponding Author

Petr Zámostný

University of Chemistry and Technology Prague, Faculty of Chemical Technology, Department of Organic Technology, Technická 5, 166 28 Prague 6, Czech Republic

Correspondence: Adam Karaba Petr Zámostný ([email protected] [email protected]), University of Chemistry and Technology Prague, Faculty of Chemical Technology, Department of Organic Technology, Technická 5, 166 28 Prague 6, Czech Republic.Search for more papers by this author
Zdeněk Bělohlav

Zdeněk Bělohlav

University of Chemistry and Technology Prague, Faculty of Chemical Technology, Department of Organic Technology, Technická 5, 166 28 Prague 6, Czech Republic

Search for more papers by this author
First published: 28 March 2017
Citations: 2

Abstract

Despite rigorous models of the steam cracking processes being available for simulation of naphtha cracking, the simulation is often carried out using limited characterization of such a feedstock due to unavailability of detailed composition at the time when the simulation is required. A method was developed for generation of substitute naphtha composition meeting specified properties. Sets of alternative compositions were generated, matching the density, distillation curve, and optionally PIONA of real naphtha feedstocks. Its cracking product yields were calculated using a validated cracking model. Simulated product yields were evaluated in terms of result variability and deviation from the experimental data, depending on the level of available feedstock characterization.

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