Flexibility study for an MSF desalination plant

Autores
Tarifa, Enrique Eduardo; Franco, Samuel; Humana, Demetrio; Mussati, Sergio Fabian
Año de publicación
2009
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work addresses a flexibility study on a multi-stage flash (MSF) desalination plant. When any plant is designed, the engineers define the design for reaching optimal operation under nominal conditions. However, uncertain variables or disturbance cannot be handled to obtain those nominal conditions. For this reason, the design contains control elements for compensating the disturbance effects. This compensation is only possible into a region defined by the characteristics of the process and the control elements. When the actual conditions are out of that region, the compensation is not enough, and the plant is not operable. A flexibility study determines the region into which the process is operable. This information can be useful for determining design modifications to improve the process flexibility. A flexibility study involves a complex mathematical model, which is even more complex for a MSF plant. To perform the task, in this work, a stationary simulator was developed for a real-world case study, and the region exploration was performed by Monte Carlo simulation. Results show, in terms of both robustness and speed of computation, that this approach can be a useful tool.
Fil: Tarifa, Enrique Eduardo. Universidad Nacional de Jujuy; Argentina
Fil: Franco, Samuel. Universidad Nacional de Jujuy; Argentina
Fil: Humana, Demetrio. Universidad Nacional de Jujuy; Argentina
Fil: Mussati, Sergio Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Materia
Flexibility
Msf
Monte Carlo
Simulation
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:11336/70314
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/70314
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Flexibility study for an MSF desalination plantTarifa, Enrique EduardoFranco, SamuelHumana, DemetrioMussati, Sergio FabianFlexibilityMsfMonte CarloSimulationhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This work addresses a flexibility study on a multi-stage flash (MSF) desalination plant. When any plant is designed, the engineers define the design for reaching optimal operation under nominal conditions. However, uncertain variables or disturbance cannot be handled to obtain those nominal conditions. For this reason, the design contains control elements for compensating the disturbance effects. This compensation is only possible into a region defined by the characteristics of the process and the control elements. When the actual conditions are out of that region, the compensation is not enough, and the plant is not operable. A flexibility study determines the region into which the process is operable. This information can be useful for determining design modifications to improve the process flexibility. A flexibility study involves a complex mathematical model, which is even more complex for a MSF plant. To perform the task, in this work, a stationary simulator was developed for a real-world case study, and the region exploration was performed by Monte Carlo simulation. Results show, in terms of both robustness and speed of computation, that this approach can be a useful tool.Fil: Tarifa, Enrique Eduardo. Universidad Nacional de Jujuy; ArgentinaFil: Franco, Samuel. Universidad Nacional de Jujuy; ArgentinaFil: Humana, Demetrio. Universidad Nacional de Jujuy; ArgentinaFil: Mussati, Sergio Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaTaylor & Francis2009info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/70314Tarifa, Enrique Eduardo; Franco, Samuel; Humana, Demetrio; Mussati, Sergio Fabian; Flexibility study for an MSF desalination plant; Taylor & Francis; Desalination and Water Treatment; 10; 1-3; 2009; 229-2371944-39941944-3986CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.5004/dwt.2009.925info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:40:26Zoai:ri.conicet.gov.ar:11336/70314instacron: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:34982025-10-15 15:40:26.477CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Flexibility study for an MSF desalination plant
title Flexibility study for an MSF desalination plant
spellingShingle Flexibility study for an MSF desalination plant
Tarifa, Enrique Eduardo
Flexibility
Msf
Monte Carlo
Simulation
title_short Flexibility study for an MSF desalination plant
title_full Flexibility study for an MSF desalination plant
title_fullStr Flexibility study for an MSF desalination plant
title_full_unstemmed Flexibility study for an MSF desalination plant
title_sort Flexibility study for an MSF desalination plant
dc.creator.none.fl_str_mv Tarifa, Enrique Eduardo
Franco, Samuel
Humana, Demetrio
Mussati, Sergio Fabian
author Tarifa, Enrique Eduardo
author_facet Tarifa, Enrique Eduardo
Franco, Samuel
Humana, Demetrio
Mussati, Sergio Fabian
author_role author
author2 Franco, Samuel
Humana, Demetrio
Mussati, Sergio Fabian
author2_role author
author
author
dc.subject.none.fl_str_mv Flexibility
Msf
Monte Carlo
Simulation
topic Flexibility
Msf
Monte Carlo
Simulation
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This work addresses a flexibility study on a multi-stage flash (MSF) desalination plant. When any plant is designed, the engineers define the design for reaching optimal operation under nominal conditions. However, uncertain variables or disturbance cannot be handled to obtain those nominal conditions. For this reason, the design contains control elements for compensating the disturbance effects. This compensation is only possible into a region defined by the characteristics of the process and the control elements. When the actual conditions are out of that region, the compensation is not enough, and the plant is not operable. A flexibility study determines the region into which the process is operable. This information can be useful for determining design modifications to improve the process flexibility. A flexibility study involves a complex mathematical model, which is even more complex for a MSF plant. To perform the task, in this work, a stationary simulator was developed for a real-world case study, and the region exploration was performed by Monte Carlo simulation. Results show, in terms of both robustness and speed of computation, that this approach can be a useful tool.
Fil: Tarifa, Enrique Eduardo. Universidad Nacional de Jujuy; Argentina
Fil: Franco, Samuel. Universidad Nacional de Jujuy; Argentina
Fil: Humana, Demetrio. Universidad Nacional de Jujuy; Argentina
Fil: Mussati, Sergio Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
description This work addresses a flexibility study on a multi-stage flash (MSF) desalination plant. When any plant is designed, the engineers define the design for reaching optimal operation under nominal conditions. However, uncertain variables or disturbance cannot be handled to obtain those nominal conditions. For this reason, the design contains control elements for compensating the disturbance effects. This compensation is only possible into a region defined by the characteristics of the process and the control elements. When the actual conditions are out of that region, the compensation is not enough, and the plant is not operable. A flexibility study determines the region into which the process is operable. This information can be useful for determining design modifications to improve the process flexibility. A flexibility study involves a complex mathematical model, which is even more complex for a MSF plant. To perform the task, in this work, a stationary simulator was developed for a real-world case study, and the region exploration was performed by Monte Carlo simulation. Results show, in terms of both robustness and speed of computation, that this approach can be a useful tool.
publishDate 2009
dc.date.none.fl_str_mv 2009
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/11336/70314
Tarifa, Enrique Eduardo; Franco, Samuel; Humana, Demetrio; Mussati, Sergio Fabian; Flexibility study for an MSF desalination plant; Taylor & Francis; Desalination and Water Treatment; 10; 1-3; 2009; 229-237
1944-3994
1944-3986
CONICET Digital
CONICET
url http://hdl.handle.net/11336/70314
identifier_str_mv Tarifa, Enrique Eduardo; Franco, Samuel; Humana, Demetrio; Mussati, Sergio Fabian; Flexibility study for an MSF desalination plant; Taylor & Francis; Desalination and Water Treatment; 10; 1-3; 2009; 229-237
1944-3994
1944-3986
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.5004/dwt.2009.925
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
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
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 13.22299

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