Effect of boiling point and density prediction methods on stochastic reconstruction

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dc.authoridDeniz, Celal Utku / 0000-0003-0948-9626
dc.contributor.authorDeniz, Celal Utku
dc.contributor.authorÖzören Yaşar, S. Hande
dc.contributor.authorYaşar, Muzaffer
dc.contributor.authorKlein, Michael T.
dc.date.accessioned2019-05-13T08:57:53Z
dc.date.available2019-05-13T08:57:53Z
dc.date.issued2018
dc.departmentHitit Üniversitesi, Mühendislik Fakültesi, Kimya Mühendisliği Bölümü
dc.description.abstractStochastic reconstruction (SR) methods are used to generate a series of molecules that mimic the properties of complex mixtures using partial analytical data. Determining a quantitative composition using these methods is limited by the property prediction methods used. This paper addresses the use of two key measurements in the characterization of petroleum fractions, namely density and boiling point distributions. It is known that the different methods used in estimating these two basic properties have varying error rates. Boiling point prediction performances of the various group contribution methods were tested via the molecular library established for molecules that can be found present in the petroleum fractions. It has been observed that the combined use of these methods results in close to a 50% reduction in sum of squared errors than any single method. The predictive performances of the density calculation methods were similarly tested. The best-calculated density results were found via the Yen-Woods method with support from the linear mixing rule based on molar fractions. © 2018 American Chemical Society.
dc.identifier.citationDeniz, C. U., Yaşar, S. H. O., Yaşar, M., Klein, M. T. (2018). Effect of boiling point and density prediction methods on stochastic reconstruction. Energy & Fuels, 32(3), 3344-3355.
dc.identifier.doi10.1021/acs.energyfuels.8b00018
dc.identifier.endpage3355en_US
dc.identifier.issn0887-0624
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage3344en_US
dc.identifier.urihttps://doi.org/10.1021/acs.energyfuels.8b00018
dc.identifier.urihttps://hdl.handle.net/11491/1028
dc.identifier.volume32en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherAmerican Chemical Society
dc.relation.ispartofEnergy and Fuels
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subject[Belirlenecek]en_US
dc.titleEffect of boiling point and density prediction methods on stochastic reconstruction
dc.typeArticle

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