Estimation of physicochemical parameters of Brazilian commercial gasoline using gas chromatography and partial least square regression
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/225022 |
Resumo: | The quality of brazilian gasoline is measured by specification tests routinely conducted by monitoring laboratories established by the Government Petroleum Agency (ANP). These tests are usually expensive and time consuming. Thus, their replacement by correlation methods using gas chromatography (GC) is very attractive, particularly if the number of samples is very large. In this way the gasoline properties can be calculated from a single GC analysis and a partial least square (PLS) model. With the modern instrumentation the chromatographic profile can be easily and quickly obtained with high accuracy and related directly to specification parameters. By investigating composition-property relationships, a single GC-FID experiment and a PLS model can be used to estimate several properties of gasoline. In this work, the properties investigated were relative density, distillation curve, octane numbers, and hydrocarbon composition. The results indicated that these parameters can be reasonably predicted in minutes using PLS correlations to GC data. |
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Repositório Institucional da UNESP |
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Estimation of physicochemical parameters of Brazilian commercial gasoline using gas chromatography and partial least square regressionThe quality of brazilian gasoline is measured by specification tests routinely conducted by monitoring laboratories established by the Government Petroleum Agency (ANP). These tests are usually expensive and time consuming. Thus, their replacement by correlation methods using gas chromatography (GC) is very attractive, particularly if the number of samples is very large. In this way the gasoline properties can be calculated from a single GC analysis and a partial least square (PLS) model. With the modern instrumentation the chromatographic profile can be easily and quickly obtained with high accuracy and related directly to specification parameters. By investigating composition-property relationships, a single GC-FID experiment and a PLS model can be used to estimate several properties of gasoline. In this work, the properties investigated were relative density, distillation curve, octane numbers, and hydrocarbon composition. The results indicated that these parameters can be reasonably predicted in minutes using PLS correlations to GC data.Center for Monitoring and Research of the Quality of Fuels Crude Oil and Derivatives - CEMPEQC - Organic Chemistry Departament Sao Paulo State University - UNESP, Rua Francisco Degni, s/n, Araraquara-SP, 14801-970Center for Monitoring and Research of the Quality of Fuels Crude Oil and Derivatives - CEMPEQC - Organic Chemistry Departament Sao Paulo State University - UNESP, Rua Francisco Degni, s/n, Araraquara-SP, 14801-970Universidade Estadual Paulista (UNESP)Flumignan, Danilo Luiz [UNESP]De Oliveira Ferreira, Fabrício [UNESP]Tininis, Aristeu Gomes [UNESP]De Oliveira, José Eduardo [UNESP]2022-04-28T20:35:55Z2022-04-28T20:35:55Z2007-12-31info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectACS National Meeting Book of Abstracts.0065-7727http://hdl.handle.net/11449/2250222-s2.0-37349128327Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengACS National Meeting Book of Abstractsinfo:eu-repo/semantics/openAccess2022-04-28T20:35:55Zoai:repositorio.unesp.br:11449/225022Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T20:35:55Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Estimation of physicochemical parameters of Brazilian commercial gasoline using gas chromatography and partial least square regression |
title |
Estimation of physicochemical parameters of Brazilian commercial gasoline using gas chromatography and partial least square regression |
spellingShingle |
Estimation of physicochemical parameters of Brazilian commercial gasoline using gas chromatography and partial least square regression Flumignan, Danilo Luiz [UNESP] |
title_short |
Estimation of physicochemical parameters of Brazilian commercial gasoline using gas chromatography and partial least square regression |
title_full |
Estimation of physicochemical parameters of Brazilian commercial gasoline using gas chromatography and partial least square regression |
title_fullStr |
Estimation of physicochemical parameters of Brazilian commercial gasoline using gas chromatography and partial least square regression |
title_full_unstemmed |
Estimation of physicochemical parameters of Brazilian commercial gasoline using gas chromatography and partial least square regression |
title_sort |
Estimation of physicochemical parameters of Brazilian commercial gasoline using gas chromatography and partial least square regression |
author |
Flumignan, Danilo Luiz [UNESP] |
author_facet |
Flumignan, Danilo Luiz [UNESP] De Oliveira Ferreira, Fabrício [UNESP] Tininis, Aristeu Gomes [UNESP] De Oliveira, José Eduardo [UNESP] |
author_role |
author |
author2 |
De Oliveira Ferreira, Fabrício [UNESP] Tininis, Aristeu Gomes [UNESP] De Oliveira, José Eduardo [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Flumignan, Danilo Luiz [UNESP] De Oliveira Ferreira, Fabrício [UNESP] Tininis, Aristeu Gomes [UNESP] De Oliveira, José Eduardo [UNESP] |
description |
The quality of brazilian gasoline is measured by specification tests routinely conducted by monitoring laboratories established by the Government Petroleum Agency (ANP). These tests are usually expensive and time consuming. Thus, their replacement by correlation methods using gas chromatography (GC) is very attractive, particularly if the number of samples is very large. In this way the gasoline properties can be calculated from a single GC analysis and a partial least square (PLS) model. With the modern instrumentation the chromatographic profile can be easily and quickly obtained with high accuracy and related directly to specification parameters. By investigating composition-property relationships, a single GC-FID experiment and a PLS model can be used to estimate several properties of gasoline. In this work, the properties investigated were relative density, distillation curve, octane numbers, and hydrocarbon composition. The results indicated that these parameters can be reasonably predicted in minutes using PLS correlations to GC data. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-12-31 2022-04-28T20:35:55Z 2022-04-28T20:35:55Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
ACS National Meeting Book of Abstracts. 0065-7727 http://hdl.handle.net/11449/225022 2-s2.0-37349128327 |
identifier_str_mv |
ACS National Meeting Book of Abstracts. 0065-7727 2-s2.0-37349128327 |
url |
http://hdl.handle.net/11449/225022 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
ACS National Meeting Book of Abstracts |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799964614140624896 |