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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampPasquini, Celio-
dc.typeArtigopt_BR
dc.titleNIR-based octane rating simulator for use in gasoline compounding processespt_BR
dc.contributor.authorda Silva, Neirivaldo Cavalcante-
dc.contributor.authorCaribe de Goes Massa, Ana Rosa-
dc.contributor.authorDomingos, Daniela-
dc.contributor.authorAmigo, Jose Manuel-
dc.contributor.authorReboucas, Marcio das Virgens-
dc.contributor.authorPasquini, Celio-
dc.contributor.authorPimentel, Maria Fernanda-
dc.subjectInfravermelho próximopt_BR
dc.subject.otherlanguageNear infraredpt_BR
dc.description.abstractThis work addresses the industrial process of compounding automotive gasoline by a controlled blending of feedstock hydrocarbon streams deriving from different stages of the cracking and refining process of naphtha. In this process, gasoline quality and profitability are directly affected by both the composition of each stream and the ratio of the streams to each other in the gasoline. Indeed, factors such as the process conditions, feedstock supply, production costs and origin of the naphtha frequently vary in both composition and ratio. As a result, the gasoline blending recipes must change constantly over time to keep up with the quality and economic characteristics of the product, with octane rating as a critical operational parameter in these processes. Near Infrared (NIR) spectroscopy is able to detect changes in composition and it can be considered during the design of a gasoline. Moreover, the use of NIR spectroscopy makes it possible to reduce significantly the time needed for analyzing the parameters of interest in the process, compared to the analytical methods that are commonly used. The main purpose of this work was to develop an off-line simulator of octane number in automotive gasoline based on NIR spectroscopy and chemometrics, aiming to improve the compounding process. The simulator was developed on the basis of the mathematical reproduction of gasoline spectra by a virtual controlled mixture of the near infrared (NIR) spectra of the hydrocarbon streams at appropriate ratio. Spectra were recorded with two instruments, a benchtop FT-NIR and a handheld instrument. Partial Least Squares (PLS) regression models were developed and validated to estimate the octane number from the simulated NIR spectra for potential gasolines. The comparison among the octane number predictions from the simulated spectra, the real NIR spectra and, also, the reference values, at different times over 2 years of production, representing a critical step in the development of the simulator, showed that the simulated spectra were able to predict values reliably. The developed octane simulator has an excellent potential for improving efficiency in the compounding process of automotive gasolinept_BR
dc.relation.ispartofFuelpt_BR
dc.publisher.cityOxfordpt_BR
dc.publisher.countryReino Unidopt_BR
dc.publisherElsevierpt_BR
dc.date.issued2019-
dc.date.monthofcirculationMaypt_BR
dc.language.isoengpt_BR
dc.description.volume243pt_BR
dc.description.firstpage381pt_BR
dc.description.lastpage389pt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn0016-2361pt_BR
dc.identifier.eissn1873-7153pt_BR
dc.identifier.doi10.1016/j.fuel.2019.01.145pt_BR
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0016236119301474pt_BR
dc.description.sponsorshipCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQpt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À CIÊNCIA E TECNOLOGIA DO ESTADO DE PERNAMBUCO - FACEPEpt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPpt_BR
dc.description.sponsordocumentnumber573894/2008-6pt_BR
dc.description.sponsordocumentnumberAPQ-0346-1.06/14; BCT-0291-3.06/17; APQ-0721-3.06/16pt_BR
dc.description.sponsordocumentnumber2008/57808-1pt_BR
dc.date.available2020-04-08T13:38:40Z-
dc.date.accessioned2020-04-08T13:38:40Z-
dc.description.provenanceSubmitted by Mariana Aparecida Azevedo (mary1@unicamp.br) on 2020-04-08T13:38:40Z No. of bitstreams: 0. Added 1 bitstream(s) on 2020-07-30T19:33:19Z : No. of bitstreams: 1 000459431800041.pdf: 1869856 bytes, checksum: 0b87a5348f044156995a6ec927a625ff (MD5)en
dc.description.provenanceMade available in DSpace on 2020-04-08T13:38:40Z (GMT). No. of bitstreams: 0 Previous issue date: 2019en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/338767-
dc.contributor.departmentDepartamento de Química Analíticapt_BR
dc.contributor.unidadeInstituto de Químicapt_BR
dc.subject.keywordGasolinept_BR
dc.subject.keywordCompounding processpt_BR
dc.subject.keywordHandheld spectrometerpt_BR
dc.subject.keywordVirtual standardpt_BR
dc.subject.keywordOff-line simulatorpt_BR
dc.identifier.source000459431800041pt_BR
dc.creator.orcid0000-0002-2445-1354pt_BR
dc.type.formArtigopt_BR
dc.description.sponsorNoteThe authors are grateful to Braskem S.A., NUQAAPE, FACEPE, INCTAA, ANP, CNPq and CAPES. The English text of this paper has been revised by Sidney Pratt, Canadian, MAT (The Johns Hopkins University), RSAdip - TESL (Cambridge University). This work was supported by NUQAAPE/FACEPE [process n°: APQ-0346-1.06/14]; INCTAA [processes n°: CNPq 573894/2008-6; FAPESP 2008/57808–1], ANP [process n°: 18325-1], PVE/CNPq [process n°: 400264/2014-5] and CAPES/FACEPE [processes n°: BCT-0291-3.06/17; APQ-0721-3.06/16]pt_BR
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