Model-based cost optimization of double-effect water-lithium bromide absorption refrigeration systems

Autores
Mussati, Sergio Fabian; Mansouri, Seyed Soheil; Gernaey, Krist V.; Morosuk, Tatiana; Mussati, Miguel Ceferino
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work presents optimization results obtained for a double-effect H2O-LiBr absorption refrigeration system considering the total cost as minimization criterion, for a wide range of cooling capacity values. As a model result, the sizes of the process units and the corresponding operating conditions are obtained simultaneously. In this paper, the effectiveness factor of each proposed heat exchanger is considered as a model optimization variable which allows (if beneficial, according to the objective function to be minimized) its deletion from the optimal solution, therefore, helping us to determine the optimal configuration. Several optimization cases considering different target levels of cooling capacity are solved. Among the major results, it was observed that the total cost is considerably reduced when the solution heat exchanger operating at low temperature is deleted compared to the configuration that includes it. Also, it was found that the effect of removing this heat exchanger is comparatively more significant with increasing cooling capacity levels. A reduction of 9.8% in the total cost was obtained for a cooling capacity of 16 kW (11,537.2 $·year-1 vs. 12,794.5 $·year-1), while a reduction of 12% was obtained for a cooling capacity of 100 kW (31,338.1 $·year-1 vs. 35,613.9 $·year-1). The optimization mathematical model presented in this work assists in selecting the optimal process configuration, as well as determining the optimal process unit sizes and operating conditions of refrigeration systems.
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: Mansouri, Seyed Soheil. Technical University of Denmark; Dinamarca
Fil: Gernaey, Krist V.. Technical University of Denmark; Dinamarca
Fil: Morosuk, Tatiana. Technishe Universitat Berlin; Alemania
Fil: Mussati, Miguel Ceferino. 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
ABSORPTION REFRIGERATION
COST OPTIMIZATION
DOUBLE-EFFECT SYSTEM
H2O-LIBR WORKING PAIR
NONLINEAR MATHEMATICAL PROGRAMMING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/108977
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/108977
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Model-based cost optimization of double-effect water-lithium bromide absorption refrigeration systemsMussati, Sergio FabianMansouri, Seyed SoheilGernaey, Krist V.Morosuk, TatianaMussati, Miguel CeferinoABSORPTION REFRIGERATIONCOST OPTIMIZATIONDOUBLE-EFFECT SYSTEMH2O-LIBR WORKING PAIRNONLINEAR MATHEMATICAL PROGRAMMINGhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This work presents optimization results obtained for a double-effect H2O-LiBr absorption refrigeration system considering the total cost as minimization criterion, for a wide range of cooling capacity values. As a model result, the sizes of the process units and the corresponding operating conditions are obtained simultaneously. In this paper, the effectiveness factor of each proposed heat exchanger is considered as a model optimization variable which allows (if beneficial, according to the objective function to be minimized) its deletion from the optimal solution, therefore, helping us to determine the optimal configuration. Several optimization cases considering different target levels of cooling capacity are solved. Among the major results, it was observed that the total cost is considerably reduced when the solution heat exchanger operating at low temperature is deleted compared to the configuration that includes it. Also, it was found that the effect of removing this heat exchanger is comparatively more significant with increasing cooling capacity levels. A reduction of 9.8% in the total cost was obtained for a cooling capacity of 16 kW (11,537.2 $·year-1 vs. 12,794.5 $·year-1), while a reduction of 12% was obtained for a cooling capacity of 100 kW (31,338.1 $·year-1 vs. 35,613.9 $·year-1). The optimization mathematical model presented in this work assists in selecting the optimal process configuration, as well as determining the optimal process unit sizes and operating conditions of refrigeration systems.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: Mansouri, Seyed Soheil. Technical University of Denmark; DinamarcaFil: Gernaey, Krist V.. Technical University of Denmark; DinamarcaFil: Morosuk, Tatiana. Technishe Universitat Berlin; AlemaniaFil: Mussati, Miguel Ceferino. 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; ArgentinaMDPI2019-01-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/108977Mussati, Sergio Fabian; Mansouri, Seyed Soheil; Gernaey, Krist V.; Morosuk, Tatiana; Mussati, Miguel Ceferino; Model-based cost optimization of double-effect water-lithium bromide absorption refrigeration systems; MDPI; Processes; 7; 1; 19-1-2019; 1-162227-9717CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2227-9717/7/1/50info:eu-repo/semantics/altIdentifier/doi/10.3390/pr7010050info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:20:44Zoai:ri.conicet.gov.ar:11336/108977instacron: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:34982025-10-22 12:20:44.811CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Model-based cost optimization of double-effect water-lithium bromide absorption refrigeration systems
title Model-based cost optimization of double-effect water-lithium bromide absorption refrigeration systems
spellingShingle Model-based cost optimization of double-effect water-lithium bromide absorption refrigeration systems
Mussati, Sergio Fabian
ABSORPTION REFRIGERATION
COST OPTIMIZATION
DOUBLE-EFFECT SYSTEM
H2O-LIBR WORKING PAIR
NONLINEAR MATHEMATICAL PROGRAMMING
title_short Model-based cost optimization of double-effect water-lithium bromide absorption refrigeration systems
title_full Model-based cost optimization of double-effect water-lithium bromide absorption refrigeration systems
title_fullStr Model-based cost optimization of double-effect water-lithium bromide absorption refrigeration systems
title_full_unstemmed Model-based cost optimization of double-effect water-lithium bromide absorption refrigeration systems
title_sort Model-based cost optimization of double-effect water-lithium bromide absorption refrigeration systems
dc.creator.none.fl_str_mv Mussati, Sergio Fabian
Mansouri, Seyed Soheil
Gernaey, Krist V.
Morosuk, Tatiana
Mussati, Miguel Ceferino
author Mussati, Sergio Fabian
author_facet Mussati, Sergio Fabian
Mansouri, Seyed Soheil
Gernaey, Krist V.
Morosuk, Tatiana
Mussati, Miguel Ceferino
author_role author
author2 Mansouri, Seyed Soheil
Gernaey, Krist V.
Morosuk, Tatiana
Mussati, Miguel Ceferino
author2_role author
author
author
author
dc.subject.none.fl_str_mv ABSORPTION REFRIGERATION
COST OPTIMIZATION
DOUBLE-EFFECT SYSTEM
H2O-LIBR WORKING PAIR
NONLINEAR MATHEMATICAL PROGRAMMING
topic ABSORPTION REFRIGERATION
COST OPTIMIZATION
DOUBLE-EFFECT SYSTEM
H2O-LIBR WORKING PAIR
NONLINEAR MATHEMATICAL PROGRAMMING
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 presents optimization results obtained for a double-effect H2O-LiBr absorption refrigeration system considering the total cost as minimization criterion, for a wide range of cooling capacity values. As a model result, the sizes of the process units and the corresponding operating conditions are obtained simultaneously. In this paper, the effectiveness factor of each proposed heat exchanger is considered as a model optimization variable which allows (if beneficial, according to the objective function to be minimized) its deletion from the optimal solution, therefore, helping us to determine the optimal configuration. Several optimization cases considering different target levels of cooling capacity are solved. Among the major results, it was observed that the total cost is considerably reduced when the solution heat exchanger operating at low temperature is deleted compared to the configuration that includes it. Also, it was found that the effect of removing this heat exchanger is comparatively more significant with increasing cooling capacity levels. A reduction of 9.8% in the total cost was obtained for a cooling capacity of 16 kW (11,537.2 $·year-1 vs. 12,794.5 $·year-1), while a reduction of 12% was obtained for a cooling capacity of 100 kW (31,338.1 $·year-1 vs. 35,613.9 $·year-1). The optimization mathematical model presented in this work assists in selecting the optimal process configuration, as well as determining the optimal process unit sizes and operating conditions of refrigeration systems.
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: Mansouri, Seyed Soheil. Technical University of Denmark; Dinamarca
Fil: Gernaey, Krist V.. Technical University of Denmark; Dinamarca
Fil: Morosuk, Tatiana. Technishe Universitat Berlin; Alemania
Fil: Mussati, Miguel Ceferino. 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 presents optimization results obtained for a double-effect H2O-LiBr absorption refrigeration system considering the total cost as minimization criterion, for a wide range of cooling capacity values. As a model result, the sizes of the process units and the corresponding operating conditions are obtained simultaneously. In this paper, the effectiveness factor of each proposed heat exchanger is considered as a model optimization variable which allows (if beneficial, according to the objective function to be minimized) its deletion from the optimal solution, therefore, helping us to determine the optimal configuration. Several optimization cases considering different target levels of cooling capacity are solved. Among the major results, it was observed that the total cost is considerably reduced when the solution heat exchanger operating at low temperature is deleted compared to the configuration that includes it. Also, it was found that the effect of removing this heat exchanger is comparatively more significant with increasing cooling capacity levels. A reduction of 9.8% in the total cost was obtained for a cooling capacity of 16 kW (11,537.2 $·year-1 vs. 12,794.5 $·year-1), while a reduction of 12% was obtained for a cooling capacity of 100 kW (31,338.1 $·year-1 vs. 35,613.9 $·year-1). The optimization mathematical model presented in this work assists in selecting the optimal process configuration, as well as determining the optimal process unit sizes and operating conditions of refrigeration systems.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-19
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/11336/108977
Mussati, Sergio Fabian; Mansouri, Seyed Soheil; Gernaey, Krist V.; Morosuk, Tatiana; Mussati, Miguel Ceferino; Model-based cost optimization of double-effect water-lithium bromide absorption refrigeration systems; MDPI; Processes; 7; 1; 19-1-2019; 1-16
2227-9717
CONICET Digital
CONICET
url http://hdl.handle.net/11336/108977
identifier_str_mv Mussati, Sergio Fabian; Mansouri, Seyed Soheil; Gernaey, Krist V.; Morosuk, Tatiana; Mussati, Miguel Ceferino; Model-based cost optimization of double-effect water-lithium bromide absorption refrigeration systems; MDPI; Processes; 7; 1; 19-1-2019; 1-16
2227-9717
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://www.mdpi.com/2227-9717/7/1/50
info:eu-repo/semantics/altIdentifier/doi/10.3390/pr7010050
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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 12.982451

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