Conceptual Model-Based Optimization and Environmental Evaluation of Waste Solvent Technologies: Distillation/Incineration versus Distillation/Pervaporation
- Autores
- Meyer, Regina Noemí; Figueroa Paredes, Danilo Alexander; Fuentes, Mauren; Amelio, Antonio; Morero, Betzabet del Valle; Luis, Patricia; Van Der Bruggen, Bart; Espinosa, José
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In this work, a conceptual model-based optimization is performed for designing two waste solvent treatment technologies: i) hybrid process distillation assisted by pervaporation and ii) distillation/incineration.This task was performed resorting to conceptual models or shortcuts for each unit operation involved, which are characterized by their abilities to capture the essence of the process at a low computational cost. Life cycle assessment (LCA) was applied to evaluate the environmental impact of both alternatives. Optimal values for the utilities, i.e., cooling water, electricity and steam needed for distillation and pervaporation were used as the input data to perform the environmental analysis with LCA. Ecosolvent v.1.0.1 was used to calculate inventories data related to the incineration technology (waste solvent incineration and cement kiln) of the first cut of the distillation step for the case distillation/incineration and for treatment of column residues of both alternatives investigated.Applied to the mixture isopropyl alcohol-water, optimal values for per-pass IPA recovery and distillate composition were determined for the alternative distillation/incineration and distillation/pervaporation, respectively. From the analysis of the economic figures, it was concluded that solvent recovery through the hybrid process is the better option mainly due to the savings in the cost of fresh solvent. The LCA results, performed in SimaPro 7.3, show that the main impact is related to the solvent production. Thus, solvent recovery is the best option if minimization of the use of resources is paramount. Nevertheless incineration in a cement kiln becomes relevant in terms of human health for the avoided use of fuels.Furthermore, it was concluded that both process optimization with the aid of conceptual models and LCA are key tools in the decision-making process to determine which technology is the most appropriate for the treatment of waste solvents.
Fil: Meyer, Regina Noemí. 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: Figueroa Paredes, Danilo Alexander. 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: Fuentes, Mauren. 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: Amelio, Antonio. Universite Catholique de Louvain; Bélgica
Fil: Morero, Betzabet del Valle. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Luis, Patricia. Universite Catholique de Louvain; Bélgica
Fil: Van Der Bruggen, Bart. Universite Catholique de Louvain; Bélgica
Fil: Espinosa, José. 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. Universidad Nacional del Litoral; Argentina - Materia
-
Distillation / Incineration
Distillation / Pervaporation
Conceptual Modeling
Optimization - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/19065
Ver los metadatos del registro completo
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Conceptual Model-Based Optimization and Environmental Evaluation of Waste Solvent Technologies: Distillation/Incineration versus Distillation/PervaporationMeyer, Regina NoemíFigueroa Paredes, Danilo AlexanderFuentes, MaurenAmelio, AntonioMorero, Betzabet del ValleLuis, PatriciaVan Der Bruggen, BartEspinosa, JoséDistillation / IncinerationDistillation / PervaporationConceptual ModelingOptimizationhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2In this work, a conceptual model-based optimization is performed for designing two waste solvent treatment technologies: i) hybrid process distillation assisted by pervaporation and ii) distillation/incineration.This task was performed resorting to conceptual models or shortcuts for each unit operation involved, which are characterized by their abilities to capture the essence of the process at a low computational cost. Life cycle assessment (LCA) was applied to evaluate the environmental impact of both alternatives. Optimal values for the utilities, i.e., cooling water, electricity and steam needed for distillation and pervaporation were used as the input data to perform the environmental analysis with LCA. Ecosolvent v.1.0.1 was used to calculate inventories data related to the incineration technology (waste solvent incineration and cement kiln) of the first cut of the distillation step for the case distillation/incineration and for treatment of column residues of both alternatives investigated.Applied to the mixture isopropyl alcohol-water, optimal values for per-pass IPA recovery and distillate composition were determined for the alternative distillation/incineration and distillation/pervaporation, respectively. From the analysis of the economic figures, it was concluded that solvent recovery through the hybrid process is the better option mainly due to the savings in the cost of fresh solvent. The LCA results, performed in SimaPro 7.3, show that the main impact is related to the solvent production. Thus, solvent recovery is the best option if minimization of the use of resources is paramount. Nevertheless incineration in a cement kiln becomes relevant in terms of human health for the avoided use of fuels.Furthermore, it was concluded that both process optimization with the aid of conceptual models and LCA are key tools in the decision-making process to determine which technology is the most appropriate for the treatment of waste solvents.Fil: Meyer, Regina Noemí. 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: Figueroa Paredes, Danilo Alexander. 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: Fuentes, Mauren. 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: Amelio, Antonio. Universite Catholique de Louvain; BélgicaFil: Morero, Betzabet del Valle. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Luis, Patricia. Universite Catholique de Louvain; BélgicaFil: Van Der Bruggen, Bart. Universite Catholique de Louvain; BélgicaFil: Espinosa, José. 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. Universidad Nacional del Litoral; ArgentinaElsevier Science2015-12-14info: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/11336/19065Meyer, Regina Noemí; Figueroa Paredes, Danilo Alexander; Fuentes, Mauren; Amelio, Antonio; Morero, Betzabet del Valle; et al.; Conceptual Model-Based Optimization and Environmental Evaluation of Waste Solvent Technologies: Distillation/Incineration versus Distillation/Pervaporation; Elsevier Science; Separation and Purification Technology; 158; 14-12-2015; 238-2491383-5866enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.seppur.2015.12.024info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1383586615303932?via%3Dihubinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:00:17Zoai:ri.conicet.gov.ar:11336/19065instacron: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 10:00:17.569CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Conceptual Model-Based Optimization and Environmental Evaluation of Waste Solvent Technologies: Distillation/Incineration versus Distillation/Pervaporation |
title |
Conceptual Model-Based Optimization and Environmental Evaluation of Waste Solvent Technologies: Distillation/Incineration versus Distillation/Pervaporation |
spellingShingle |
Conceptual Model-Based Optimization and Environmental Evaluation of Waste Solvent Technologies: Distillation/Incineration versus Distillation/Pervaporation Meyer, Regina Noemí Distillation / Incineration Distillation / Pervaporation Conceptual Modeling Optimization |
title_short |
Conceptual Model-Based Optimization and Environmental Evaluation of Waste Solvent Technologies: Distillation/Incineration versus Distillation/Pervaporation |
title_full |
Conceptual Model-Based Optimization and Environmental Evaluation of Waste Solvent Technologies: Distillation/Incineration versus Distillation/Pervaporation |
title_fullStr |
Conceptual Model-Based Optimization and Environmental Evaluation of Waste Solvent Technologies: Distillation/Incineration versus Distillation/Pervaporation |
title_full_unstemmed |
Conceptual Model-Based Optimization and Environmental Evaluation of Waste Solvent Technologies: Distillation/Incineration versus Distillation/Pervaporation |
title_sort |
Conceptual Model-Based Optimization and Environmental Evaluation of Waste Solvent Technologies: Distillation/Incineration versus Distillation/Pervaporation |
dc.creator.none.fl_str_mv |
Meyer, Regina Noemí Figueroa Paredes, Danilo Alexander Fuentes, Mauren Amelio, Antonio Morero, Betzabet del Valle Luis, Patricia Van Der Bruggen, Bart Espinosa, José |
author |
Meyer, Regina Noemí |
author_facet |
Meyer, Regina Noemí Figueroa Paredes, Danilo Alexander Fuentes, Mauren Amelio, Antonio Morero, Betzabet del Valle Luis, Patricia Van Der Bruggen, Bart Espinosa, José |
author_role |
author |
author2 |
Figueroa Paredes, Danilo Alexander Fuentes, Mauren Amelio, Antonio Morero, Betzabet del Valle Luis, Patricia Van Der Bruggen, Bart Espinosa, José |
author2_role |
author author author author author author author |
dc.subject.none.fl_str_mv |
Distillation / Incineration Distillation / Pervaporation Conceptual Modeling Optimization |
topic |
Distillation / Incineration Distillation / Pervaporation Conceptual Modeling Optimization |
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 work, a conceptual model-based optimization is performed for designing two waste solvent treatment technologies: i) hybrid process distillation assisted by pervaporation and ii) distillation/incineration.This task was performed resorting to conceptual models or shortcuts for each unit operation involved, which are characterized by their abilities to capture the essence of the process at a low computational cost. Life cycle assessment (LCA) was applied to evaluate the environmental impact of both alternatives. Optimal values for the utilities, i.e., cooling water, electricity and steam needed for distillation and pervaporation were used as the input data to perform the environmental analysis with LCA. Ecosolvent v.1.0.1 was used to calculate inventories data related to the incineration technology (waste solvent incineration and cement kiln) of the first cut of the distillation step for the case distillation/incineration and for treatment of column residues of both alternatives investigated.Applied to the mixture isopropyl alcohol-water, optimal values for per-pass IPA recovery and distillate composition were determined for the alternative distillation/incineration and distillation/pervaporation, respectively. From the analysis of the economic figures, it was concluded that solvent recovery through the hybrid process is the better option mainly due to the savings in the cost of fresh solvent. The LCA results, performed in SimaPro 7.3, show that the main impact is related to the solvent production. Thus, solvent recovery is the best option if minimization of the use of resources is paramount. Nevertheless incineration in a cement kiln becomes relevant in terms of human health for the avoided use of fuels.Furthermore, it was concluded that both process optimization with the aid of conceptual models and LCA are key tools in the decision-making process to determine which technology is the most appropriate for the treatment of waste solvents. Fil: Meyer, Regina Noemí. 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: Figueroa Paredes, Danilo Alexander. 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: Fuentes, Mauren. 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: Amelio, Antonio. Universite Catholique de Louvain; Bélgica Fil: Morero, Betzabet del Valle. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina Fil: Luis, Patricia. Universite Catholique de Louvain; Bélgica Fil: Van Der Bruggen, Bart. Universite Catholique de Louvain; Bélgica Fil: Espinosa, José. 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. Universidad Nacional del Litoral; Argentina |
description |
In this work, a conceptual model-based optimization is performed for designing two waste solvent treatment technologies: i) hybrid process distillation assisted by pervaporation and ii) distillation/incineration.This task was performed resorting to conceptual models or shortcuts for each unit operation involved, which are characterized by their abilities to capture the essence of the process at a low computational cost. Life cycle assessment (LCA) was applied to evaluate the environmental impact of both alternatives. Optimal values for the utilities, i.e., cooling water, electricity and steam needed for distillation and pervaporation were used as the input data to perform the environmental analysis with LCA. Ecosolvent v.1.0.1 was used to calculate inventories data related to the incineration technology (waste solvent incineration and cement kiln) of the first cut of the distillation step for the case distillation/incineration and for treatment of column residues of both alternatives investigated.Applied to the mixture isopropyl alcohol-water, optimal values for per-pass IPA recovery and distillate composition were determined for the alternative distillation/incineration and distillation/pervaporation, respectively. From the analysis of the economic figures, it was concluded that solvent recovery through the hybrid process is the better option mainly due to the savings in the cost of fresh solvent. The LCA results, performed in SimaPro 7.3, show that the main impact is related to the solvent production. Thus, solvent recovery is the best option if minimization of the use of resources is paramount. Nevertheless incineration in a cement kiln becomes relevant in terms of human health for the avoided use of fuels.Furthermore, it was concluded that both process optimization with the aid of conceptual models and LCA are key tools in the decision-making process to determine which technology is the most appropriate for the treatment of waste solvents. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-12-14 |
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/11336/19065 Meyer, Regina Noemí; Figueroa Paredes, Danilo Alexander; Fuentes, Mauren; Amelio, Antonio; Morero, Betzabet del Valle; et al.; Conceptual Model-Based Optimization and Environmental Evaluation of Waste Solvent Technologies: Distillation/Incineration versus Distillation/Pervaporation; Elsevier Science; Separation and Purification Technology; 158; 14-12-2015; 238-249 1383-5866 |
url |
http://hdl.handle.net/11336/19065 |
identifier_str_mv |
Meyer, Regina Noemí; Figueroa Paredes, Danilo Alexander; Fuentes, Mauren; Amelio, Antonio; Morero, Betzabet del Valle; et al.; Conceptual Model-Based Optimization and Environmental Evaluation of Waste Solvent Technologies: Distillation/Incineration versus Distillation/Pervaporation; Elsevier Science; Separation and Purification Technology; 158; 14-12-2015; 238-249 1383-5866 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.seppur.2015.12.024 info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1383586615303932?via%3Dihub |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science |
publisher.none.fl_str_mv |
Elsevier Science |
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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1842269629391568896 |
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13.13397 |