Abstract
Complex mixtures, particularly petroleum fractions, usually need to be suitably modeled before providing the simulation and other types of chemical engineering calculations. The most convenient way is to describe the original mixture by a substitute mixture. The formerly published approach based on the employment of substitute mixtures of real components can be improved in order to get a closer match between the behavior of the original and substitute mixtures. In the first phase of the algorithm, a new concept of a band around the characterization curves brings wider possibilities for the selection of real components into the substitute mixture. The second phase, which is used to determine the composition of the substitute mixture, can be also improved by considering the global or bulk properties of the original mixture if available. Typically, some of the properties e.g. liquid density, molecular mass and PNA (Paraffinic/Naphthenic/Aromatic carbon) analysis can be measured and used to improve the adjustment of the composition. The improved algorithm is illustrated by an example.
Similar content being viewed by others
References
Albahri, T. A. (2005). Molecularly explicit characterization model (MECM) for light petroleum fractions. Industrial & Engineering Chemistry Research, 44, 9286–9298. DOI: 10.1021/ie050150o.
American Petroleum Institute, (1992). Technical data book — Petroleum refining (5th ed.). Washington: American Petroleum Institute.
Aspen Technology Inc. (2001). HYSYS®3.2 documentation. Cambridge, MA: Hyprotech.
Ba, A., Eckert, E., & Vaněk, T. (2003). Procedures for the selection of real components to characterize petroleum mixtures. Chemical Papers, 57, 53–62.
Beilstein Institut (2004). Beilstein database. Frankfurt am Main, Germany: Beilstein Institut.
Bělohlav, Z., Zámostný, P., Herink, T., Eckert, E., & Vaněk, T. (2005). A novel approach for the prediction of hydrocarbon thermal cracking products yields from the substitute feedstock composition. Chemical Engineering and Technology, 28, 1166–1176. DOI: 10.1002/ceat.200500173.
Briesen, H., & Marquardt, W. (2003). An adaptive multigrid method for steady-state simulation of petroleum mixture separation processes. Industrial & Engineering Chemistry Research, 42, 2334–2348. DOI: 10.1021/ie0206150.
Briesen, H., & Marquardt, W. (2004). New approach to refinery process simulation with adaptive composition representation. AIChE Journal, 50, 633–645. DOI: 10.1002/aic.10057.
Eckert, E., Bělohlav, Z., Vaněk, T., Zamostný, P., & Herink, T. (2007). ANN modelling of pyrolysis utilising the characterisation of atmospheric gas oil based on incomplete data. Chemical Engineering Science, 62, 5021–5025. DOI: 10.1016/j.ces.2007.01.062.
Eckert, E., & Vaněk, T. (2005a). New approach to the characterisation of petroleum mixtures used in the modelling of separation processes. Computers and Chemical Engineering, 30, 343–356. DOI: 10.1016/j.compchemeng.2005.10.005.
Eckert, E., & Vaněk, T. (2005b). Extended utilisation of the characterisation of petroleum mixtures based on real components. Chemical Papers, 59, 428–433.
Eckert, E., & Vaněk, T. (2008). Mathematical modelling of selected characterisation procedures for oil fractions. Chemical Papers, 62, 26–33. DOI: 10.2478/s11696-007-0075-7.
Wauquier, J.-P. (Ed.) (1995). Crude oil, petroleum products, process flowsheets. In Petroleum refining, Vol. 1. Paris: Éditions Technip.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Eckert, E., Vaněk, T. Improvements in the selection of real components forming a substitute mixture for petroleum fractions. Chem. Pap. 63, 399–405 (2009). https://doi.org/10.2478/s11696-009-0040-8
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.2478/s11696-009-0040-8