A sensitivity analysis and a comparison of two simulators performance for the process of natural gas sweetening

Autores
Gutierrez, Juan Pablo; Benitez, Leonel Alberto; Ale Ruiz, Elisa Liliana; Erdmann, Eleonora
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Chemical processes simulation is an important instrument for the design, optimization and control of industrial plants. Simulation cases can be accomplished with relatively low costs and the absence of risks for the operators. However, the precision of the results depends on the similarity between the simulation performed and the process considered. In this article, two simulators, Aspen Hysys V8.6 and Aspen Plus V8.6, are employed to simulate the process of natural gas sweetening using diethanolamine (DEA). Additionally, a parametric sensitivity analysis is performed to define the optimal operative range for the process. The required data and the conditions of the operating units are taken from a gas conditioning plant in northern Argentina. Finally, a comparison between the block of obtained results from both simulations is also detailed.
Fil: Gutierrez, Juan Pablo. Universidad Nacional de Salta. Consejo de Investigacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
Fil: Benitez, Leonel Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina. Universidad Nacional de Salta. Consejo de Investigacion; Argentina
Fil: Ale Ruiz, Elisa Liliana. Universidad Nacional de Salta. Consejo de Investigacion; Argentina
Fil: Erdmann, Eleonora. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
Materia
AMINES
NATURAL GAS
OPTIMIZATION
SIMULATION
SWEETENING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/100247
Acceder
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spelling A sensitivity analysis and a comparison of two simulators performance for the process of natural gas sweeteningGutierrez, Juan PabloBenitez, Leonel AlbertoAle Ruiz, Elisa LilianaErdmann, EleonoraAMINESNATURAL GASOPTIMIZATIONSIMULATIONSWEETENINGhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Chemical processes simulation is an important instrument for the design, optimization and control of industrial plants. Simulation cases can be accomplished with relatively low costs and the absence of risks for the operators. However, the precision of the results depends on the similarity between the simulation performed and the process considered. In this article, two simulators, Aspen Hysys V8.6 and Aspen Plus V8.6, are employed to simulate the process of natural gas sweetening using diethanolamine (DEA). Additionally, a parametric sensitivity analysis is performed to define the optimal operative range for the process. The required data and the conditions of the operating units are taken from a gas conditioning plant in northern Argentina. Finally, a comparison between the block of obtained results from both simulations is also detailed.Fil: Gutierrez, Juan Pablo. Universidad Nacional de Salta. Consejo de Investigacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; ArgentinaFil: Benitez, Leonel Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina. Universidad Nacional de Salta. Consejo de Investigacion; ArgentinaFil: Ale Ruiz, Elisa Liliana. Universidad Nacional de Salta. Consejo de Investigacion; ArgentinaFil: Erdmann, Eleonora. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; ArgentinaElsevier2016-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/100247Gutierrez, Juan Pablo; Benitez, Leonel Alberto; Ale Ruiz, Elisa Liliana; Erdmann, Eleonora; A sensitivity analysis and a comparison of two simulators performance for the process of natural gas sweetening; Elsevier; Journal of Natural Gas Science and Engineering; 31; 4-2016; 800-8071875-5100CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1875510016302384info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jngse.2016.04.015info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:07:34Zoai:ri.conicet.gov.ar:11336/100247instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:07:34.948CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A sensitivity analysis and a comparison of two simulators performance for the process of natural gas sweetening
title A sensitivity analysis and a comparison of two simulators performance for the process of natural gas sweetening
spellingShingle A sensitivity analysis and a comparison of two simulators performance for the process of natural gas sweetening
Gutierrez, Juan Pablo
AMINES
NATURAL GAS
OPTIMIZATION
SIMULATION
SWEETENING
title_short A sensitivity analysis and a comparison of two simulators performance for the process of natural gas sweetening
title_full A sensitivity analysis and a comparison of two simulators performance for the process of natural gas sweetening
title_fullStr A sensitivity analysis and a comparison of two simulators performance for the process of natural gas sweetening
title_full_unstemmed A sensitivity analysis and a comparison of two simulators performance for the process of natural gas sweetening
title_sort A sensitivity analysis and a comparison of two simulators performance for the process of natural gas sweetening
dc.creator.none.fl_str_mv Gutierrez, Juan Pablo
Benitez, Leonel Alberto
Ale Ruiz, Elisa Liliana
Erdmann, Eleonora
author Gutierrez, Juan Pablo
author_facet Gutierrez, Juan Pablo
Benitez, Leonel Alberto
Ale Ruiz, Elisa Liliana
Erdmann, Eleonora
author_role author
author2 Benitez, Leonel Alberto
Ale Ruiz, Elisa Liliana
Erdmann, Eleonora
author2_role author
author
author
dc.subject.none.fl_str_mv AMINES
NATURAL GAS
OPTIMIZATION
SIMULATION
SWEETENING
topic AMINES
NATURAL GAS
OPTIMIZATION
SIMULATION
SWEETENING
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Chemical processes simulation is an important instrument for the design, optimization and control of industrial plants. Simulation cases can be accomplished with relatively low costs and the absence of risks for the operators. However, the precision of the results depends on the similarity between the simulation performed and the process considered. In this article, two simulators, Aspen Hysys V8.6 and Aspen Plus V8.6, are employed to simulate the process of natural gas sweetening using diethanolamine (DEA). Additionally, a parametric sensitivity analysis is performed to define the optimal operative range for the process. The required data and the conditions of the operating units are taken from a gas conditioning plant in northern Argentina. Finally, a comparison between the block of obtained results from both simulations is also detailed.
Fil: Gutierrez, Juan Pablo. Universidad Nacional de Salta. Consejo de Investigacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
Fil: Benitez, Leonel Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina. Universidad Nacional de Salta. Consejo de Investigacion; Argentina
Fil: Ale Ruiz, Elisa Liliana. Universidad Nacional de Salta. Consejo de Investigacion; Argentina
Fil: Erdmann, Eleonora. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
description Chemical processes simulation is an important instrument for the design, optimization and control of industrial plants. Simulation cases can be accomplished with relatively low costs and the absence of risks for the operators. However, the precision of the results depends on the similarity between the simulation performed and the process considered. In this article, two simulators, Aspen Hysys V8.6 and Aspen Plus V8.6, are employed to simulate the process of natural gas sweetening using diethanolamine (DEA). Additionally, a parametric sensitivity analysis is performed to define the optimal operative range for the process. The required data and the conditions of the operating units are taken from a gas conditioning plant in northern Argentina. Finally, a comparison between the block of obtained results from both simulations is also detailed.
publishDate 2016
dc.date.none.fl_str_mv 2016-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/100247
Gutierrez, Juan Pablo; Benitez, Leonel Alberto; Ale Ruiz, Elisa Liliana; Erdmann, Eleonora; A sensitivity analysis and a comparison of two simulators performance for the process of natural gas sweetening; Elsevier; Journal of Natural Gas Science and Engineering; 31; 4-2016; 800-807
1875-5100
CONICET Digital
CONICET
url http://hdl.handle.net/11336/100247
identifier_str_mv Gutierrez, Juan Pablo; Benitez, Leonel Alberto; Ale Ruiz, Elisa Liliana; Erdmann, Eleonora; A sensitivity analysis and a comparison of two simulators performance for the process of natural gas sweetening; Elsevier; Journal of Natural Gas Science and Engineering; 31; 4-2016; 800-807
1875-5100
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1875510016302384
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jngse.2016.04.015
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.993085

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