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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/139048
Ver los metadatos del registro completo
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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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1842269991135608832 |
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13.13397 |