Novel configuration for a multistage flash-mixer desalination system

Autores
Mussati, Sergio Fabian; Aguirre, Pio Antonio; Scenna, Nicolas Jose
Año de publicación
2003
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper a systematic procedure for the synthesis and design of multistage flash-mixer desalination processes is presented. The process configuration, geometric design, and optimal operating conditions are determined by minimizing the total annualized cost for a given water production. Different possible arrangements for the desaltor are embedded in a superstructure. The multistage flash-mixer system is rigorously modeled considering the most important aspects of the real process. The resolution procedure involves two phases. First, a simplified model is solved in a preprocessing phase providing the initial values and bounds, and then from these values the rigorous model is easily solved. For the simplified model resolution in the preprocessing phase, there is no need for supplying and tuning external parameters for initialization. The preprocessing phase increases the robustness of the optimization algorithm. A new configuration of the multistage flash-mixer system system resulted. This new structure differs from the conventional one because it considers distillate extraction and a new allocation of the blowdown brine (generally placed at the last stage). Different study cases are presented to illustrate the methodology robustness and computational performance.
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
Fil: Aguirre, Pio Antonio. 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
Fil: Scenna, Nicolas Jose. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro de Investigaciones y Transferencia de San Nicolas. - Universidad Tecnologica Nacional. Facultad Reg.san Nicolas. Centro de Investigaciones y Transferencia de San Nicolas.; Argentina
Materia
MSF Desalination System
Novel configuration
Superstructure of alternatives
NLP models
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:11336/139048

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network_name_str CONICET Digital (CONICET)
spelling Novel configuration for a multistage flash-mixer desalination systemMussati, Sergio FabianAguirre, Pio AntonioScenna, Nicolas JoseMSF Desalination SystemNovel configurationSuperstructure of alternativesNLP modelshttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2In this paper a systematic procedure for the synthesis and design of multistage flash-mixer desalination processes is presented. The process configuration, geometric design, and optimal operating conditions are determined by minimizing the total annualized cost for a given water production. Different possible arrangements for the desaltor are embedded in a superstructure. The multistage flash-mixer system is rigorously modeled considering the most important aspects of the real process. The resolution procedure involves two phases. First, a simplified model is solved in a preprocessing phase providing the initial values and bounds, and then from these values the rigorous model is easily solved. For the simplified model resolution in the preprocessing phase, there is no need for supplying and tuning external parameters for initialization. The preprocessing phase increases the robustness of the optimization algorithm. A new configuration of the multistage flash-mixer system system resulted. This new structure differs from the conventional one because it considers distillate extraction and a new allocation of the blowdown brine (generally placed at the last stage). Different study cases are presented to illustrate the methodology robustness and computational performance.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; ArgentinaFil: Aguirre, Pio Antonio. 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; ArgentinaFil: Scenna, Nicolas Jose. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro de Investigaciones y Transferencia de San Nicolas. - Universidad Tecnologica Nacional. Facultad Reg.san Nicolas. Centro de Investigaciones y Transferencia de San Nicolas.; ArgentinaAmerican Chemical Society2003-08-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/139048Mussati, Sergio Fabian; Aguirre, Pio Antonio; Scenna, Nicolas Jose; Novel configuration for a multistage flash-mixer desalination system; American Chemical Society; Industrial & Engineering Chemical Research; 42; 20; 22-8-2003; 4828-48390888-58851520-5045CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/ie020318vinfo:eu-repo/semantics/altIdentifier/doi/10.1021/ie020318vinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:07:08Zoai:ri.conicet.gov.ar:11336/139048instacron: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:34982025-09-03 10:07:08.599CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Novel configuration for a multistage flash-mixer desalination system
title Novel configuration for a multistage flash-mixer desalination system
spellingShingle Novel configuration for a multistage flash-mixer desalination system
Mussati, Sergio Fabian
MSF Desalination System
Novel configuration
Superstructure of alternatives
NLP models
title_short Novel configuration for a multistage flash-mixer desalination system
title_full Novel configuration for a multistage flash-mixer desalination system
title_fullStr Novel configuration for a multistage flash-mixer desalination system
title_full_unstemmed Novel configuration for a multistage flash-mixer desalination system
title_sort Novel configuration for a multistage flash-mixer desalination system
dc.creator.none.fl_str_mv Mussati, Sergio Fabian
Aguirre, Pio Antonio
Scenna, Nicolas Jose
author Mussati, Sergio Fabian
author_facet Mussati, Sergio Fabian
Aguirre, Pio Antonio
Scenna, Nicolas Jose
author_role author
author2 Aguirre, Pio Antonio
Scenna, Nicolas Jose
author2_role author
author
dc.subject.none.fl_str_mv MSF Desalination System
Novel configuration
Superstructure of alternatives
NLP models
topic MSF Desalination System
Novel configuration
Superstructure of alternatives
NLP models
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 paper a systematic procedure for the synthesis and design of multistage flash-mixer desalination processes is presented. The process configuration, geometric design, and optimal operating conditions are determined by minimizing the total annualized cost for a given water production. Different possible arrangements for the desaltor are embedded in a superstructure. The multistage flash-mixer system is rigorously modeled considering the most important aspects of the real process. The resolution procedure involves two phases. First, a simplified model is solved in a preprocessing phase providing the initial values and bounds, and then from these values the rigorous model is easily solved. For the simplified model resolution in the preprocessing phase, there is no need for supplying and tuning external parameters for initialization. The preprocessing phase increases the robustness of the optimization algorithm. A new configuration of the multistage flash-mixer system system resulted. This new structure differs from the conventional one because it considers distillate extraction and a new allocation of the blowdown brine (generally placed at the last stage). Different study cases are presented to illustrate the methodology robustness and computational performance.
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
Fil: Aguirre, Pio Antonio. 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
Fil: Scenna, Nicolas Jose. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro de Investigaciones y Transferencia de San Nicolas. - Universidad Tecnologica Nacional. Facultad Reg.san Nicolas. Centro de Investigaciones y Transferencia de San Nicolas.; Argentina
description In this paper a systematic procedure for the synthesis and design of multistage flash-mixer desalination processes is presented. The process configuration, geometric design, and optimal operating conditions are determined by minimizing the total annualized cost for a given water production. Different possible arrangements for the desaltor are embedded in a superstructure. The multistage flash-mixer system is rigorously modeled considering the most important aspects of the real process. The resolution procedure involves two phases. First, a simplified model is solved in a preprocessing phase providing the initial values and bounds, and then from these values the rigorous model is easily solved. For the simplified model resolution in the preprocessing phase, there is no need for supplying and tuning external parameters for initialization. The preprocessing phase increases the robustness of the optimization algorithm. A new configuration of the multistage flash-mixer system system resulted. This new structure differs from the conventional one because it considers distillate extraction and a new allocation of the blowdown brine (generally placed at the last stage). Different study cases are presented to illustrate the methodology robustness and computational performance.
publishDate 2003
dc.date.none.fl_str_mv 2003-08-22
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/11336/139048
Mussati, Sergio Fabian; Aguirre, Pio Antonio; Scenna, Nicolas Jose; Novel configuration for a multistage flash-mixer desalination system; American Chemical Society; Industrial & Engineering Chemical Research; 42; 20; 22-8-2003; 4828-4839
0888-5885
1520-5045
CONICET Digital
CONICET
url http://hdl.handle.net/11336/139048
identifier_str_mv Mussati, Sergio Fabian; Aguirre, Pio Antonio; Scenna, Nicolas Jose; Novel configuration for a multistage flash-mixer desalination system; American Chemical Society; Industrial & Engineering Chemical Research; 42; 20; 22-8-2003; 4828-4839
0888-5885
1520-5045
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/ie020318v
info:eu-repo/semantics/altIdentifier/doi/10.1021/ie020318v
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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