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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/108977
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T10:47:19Zoai: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:34982025-09-29 10:47:19.855CONICET 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) |
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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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1844614516733640704 |
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13.070432 |