On the Solution of the Instrumentation Selection Problem

Autores
Carnero, Mercedes del Carmen; Hernández, J. L.; Sanchez, Mabel Cristina; Bandoni, Jose Alberto
Año de publicación
2005
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work, a procedure for solving the optimal design and upgrade of linear sensor networks, subject to quality constraints on a set of key variable estimates, is presented. The strategy aims to select the optimal set of flowmeters without imposing restrictions on the mathematical nature of the objective function and constraints. An evolutionary technique based on genetic algorithms (GAs) is proposed that combines the benefits of using structured populations in the form of neighborhoods and a local search strategy. Both procedures take advantage of existing process knowledge. Application examples are provided for the instrumentation design of a steam metering network of a methanol plant, which show that the algorithm has a good balance among its exploration and exploitation capabilities.
Fil: Carnero, Mercedes del Carmen. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Hernández, J. L.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Materia
Instrumentation selection
Optimization
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:11336/97236
Acceder
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network_name_str CONICET Digital (CONICET)
spelling On the Solution of the Instrumentation Selection ProblemCarnero, Mercedes del CarmenHernández, J. L.Sanchez, Mabel CristinaBandoni, Jose AlbertoInstrumentation selectionOptimizationhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2In this work, a procedure for solving the optimal design and upgrade of linear sensor networks, subject to quality constraints on a set of key variable estimates, is presented. The strategy aims to select the optimal set of flowmeters without imposing restrictions on the mathematical nature of the objective function and constraints. An evolutionary technique based on genetic algorithms (GAs) is proposed that combines the benefits of using structured populations in the form of neighborhoods and a local search strategy. Both procedures take advantage of existing process knowledge. Application examples are provided for the instrumentation design of a steam metering network of a methanol plant, which show that the algorithm has a good balance among its exploration and exploitation capabilities.Fil: Carnero, Mercedes del Carmen. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Hernández, J. L.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaAmerican Chemical Society2005-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/97236Carnero, Mercedes del Carmen; Hernández, J. L.; Sanchez, Mabel Cristina; Bandoni, Jose Alberto; On the Solution of the Instrumentation Selection Problem; American Chemical Society; Industrial & Engineering Chemical Research; 44; 2; 1-2005; 358-3670888-5885CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1021/ie049856tinfo:eu-repo/semantics/altIdentifier/url/pubs.acs.org/doi/abs/10.1021/ie049856tinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:38:29Zoai:ri.conicet.gov.ar:11336/97236instacron: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:34982025-09-29 09:38:29.891CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv On the Solution of the Instrumentation Selection Problem
title On the Solution of the Instrumentation Selection Problem
spellingShingle On the Solution of the Instrumentation Selection Problem
Carnero, Mercedes del Carmen
Instrumentation selection
Optimization
title_short On the Solution of the Instrumentation Selection Problem
title_full On the Solution of the Instrumentation Selection Problem
title_fullStr On the Solution of the Instrumentation Selection Problem
title_full_unstemmed On the Solution of the Instrumentation Selection Problem
title_sort On the Solution of the Instrumentation Selection Problem
dc.creator.none.fl_str_mv Carnero, Mercedes del Carmen
Hernández, J. L.
Sanchez, Mabel Cristina
Bandoni, Jose Alberto
author Carnero, Mercedes del Carmen
author_facet Carnero, Mercedes del Carmen
Hernández, J. L.
Sanchez, Mabel Cristina
Bandoni, Jose Alberto
author_role author
author2 Hernández, J. L.
Sanchez, Mabel Cristina
Bandoni, Jose Alberto
author2_role author
author
author
dc.subject.none.fl_str_mv Instrumentation selection
Optimization
topic Instrumentation selection
Optimization
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this work, a procedure for solving the optimal design and upgrade of linear sensor networks, subject to quality constraints on a set of key variable estimates, is presented. The strategy aims to select the optimal set of flowmeters without imposing restrictions on the mathematical nature of the objective function and constraints. An evolutionary technique based on genetic algorithms (GAs) is proposed that combines the benefits of using structured populations in the form of neighborhoods and a local search strategy. Both procedures take advantage of existing process knowledge. Application examples are provided for the instrumentation design of a steam metering network of a methanol plant, which show that the algorithm has a good balance among its exploration and exploitation capabilities.
Fil: Carnero, Mercedes del Carmen. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Hernández, J. L.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
description In this work, a procedure for solving the optimal design and upgrade of linear sensor networks, subject to quality constraints on a set of key variable estimates, is presented. The strategy aims to select the optimal set of flowmeters without imposing restrictions on the mathematical nature of the objective function and constraints. An evolutionary technique based on genetic algorithms (GAs) is proposed that combines the benefits of using structured populations in the form of neighborhoods and a local search strategy. Both procedures take advantage of existing process knowledge. Application examples are provided for the instrumentation design of a steam metering network of a methanol plant, which show that the algorithm has a good balance among its exploration and exploitation capabilities.
publishDate 2005
dc.date.none.fl_str_mv 2005-01
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/11336/97236
Carnero, Mercedes del Carmen; Hernández, J. L.; Sanchez, Mabel Cristina; Bandoni, Jose Alberto; On the Solution of the Instrumentation Selection Problem; American Chemical Society; Industrial & Engineering Chemical Research; 44; 2; 1-2005; 358-367
0888-5885
CONICET Digital
CONICET
url http://hdl.handle.net/11336/97236
identifier_str_mv Carnero, Mercedes del Carmen; Hernández, J. L.; Sanchez, Mabel Cristina; Bandoni, Jose Alberto; On the Solution of the Instrumentation Selection Problem; American Chemical Society; Industrial & Engineering Chemical Research; 44; 2; 1-2005; 358-367
0888-5885
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1021/ie049856t
info:eu-repo/semantics/altIdentifier/url/pubs.acs.org/doi/abs/10.1021/ie049856t
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
dc.publisher.none.fl_str_mv American Chemical Society
publisher.none.fl_str_mv American Chemical Society
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 13.070432

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