Environmental life cycle assessment as a tool for process optimisation in the utility sector

Autores
Corvalán, Sergio M.; Martinez, Pablo Enrique; Eliceche, Ana Maria
Año de publicación
2005
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A methodology is presented to calculate the optimum operating conditions of a petrochemical plant utility sector, to minimize the overall Life Cycle Environmental Impact. The battery limits of the system studied are extended to include the relevant environmental impacts corresponding to the electricity imported generated in thermoelectric, hydroelectric and nuclear plants. The Overall Environmental Impact is calculated as a weighted sum of the following Potential Environmental Impact categories: Global Warming, Acidification, Eutrophication, Photochemical Oxidation, Ozone Depletion, Human Toxicity and Ecotoxicity. The contribution of each component emission to these environmental categories is evaluated multiplying its flow rate by the corresponding Heijungs factor. A Mixed Integer Non Linear Programming problem is formulated and solved in GAMS. Global Warming is the most relevant contribution. Significant reductions in the Overall Environmental Impact and particularly in Global Warming are achieved selecting the pressure and temperature of high, medium and low pressure headers and the optional drivers that can be electrical motors or steam turbines. Improvements are also reported in the operating cost, natural gas, water and electricity consumption.
Fil: Corvalán, Sergio M.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Martinez, Pablo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Eliceche, Ana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Materia
ENVIRONMENTAL LIFE CYCLE
OPTIMISATION
UTILITY
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:11336/97035
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/97035
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Environmental life cycle assessment as a tool for process optimisation in the utility sectorCorvalán, Sergio M.Martinez, Pablo EnriqueEliceche, Ana MariaENVIRONMENTAL LIFE CYCLEOPTIMISATIONUTILITYhttps://purl.org/becyt/ford/2.7https://purl.org/becyt/ford/2A methodology is presented to calculate the optimum operating conditions of a petrochemical plant utility sector, to minimize the overall Life Cycle Environmental Impact. The battery limits of the system studied are extended to include the relevant environmental impacts corresponding to the electricity imported generated in thermoelectric, hydroelectric and nuclear plants. The Overall Environmental Impact is calculated as a weighted sum of the following Potential Environmental Impact categories: Global Warming, Acidification, Eutrophication, Photochemical Oxidation, Ozone Depletion, Human Toxicity and Ecotoxicity. The contribution of each component emission to these environmental categories is evaluated multiplying its flow rate by the corresponding Heijungs factor. A Mixed Integer Non Linear Programming problem is formulated and solved in GAMS. Global Warming is the most relevant contribution. Significant reductions in the Overall Environmental Impact and particularly in Global Warming are achieved selecting the pressure and temperature of high, medium and low pressure headers and the optional drivers that can be electrical motors or steam turbines. Improvements are also reported in the operating cost, natural gas, water and electricity consumption.Fil: Corvalán, Sergio M.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Martinez, Pablo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Eliceche, Ana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaElsevier2005-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/97035Corvalán, Sergio M.; Martinez, Pablo Enrique; Eliceche, Ana Maria; Environmental life cycle assessment as a tool for process optimisation in the utility sector; Elsevier; Computer Aided Chemical Engineering; 20; C; 5-2005; 853-8581570-7946CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1570794605802640info:eu-repo/semantics/altIdentifier/doi/10.1016/S1570-7946(05)80264-0info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:56:58Zoai:ri.conicet.gov.ar:11336/97035instacron: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 09:56:58.534CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Environmental life cycle assessment as a tool for process optimisation in the utility sector
title Environmental life cycle assessment as a tool for process optimisation in the utility sector
spellingShingle Environmental life cycle assessment as a tool for process optimisation in the utility sector
Corvalán, Sergio M.
ENVIRONMENTAL LIFE CYCLE
OPTIMISATION
UTILITY
title_short Environmental life cycle assessment as a tool for process optimisation in the utility sector
title_full Environmental life cycle assessment as a tool for process optimisation in the utility sector
title_fullStr Environmental life cycle assessment as a tool for process optimisation in the utility sector
title_full_unstemmed Environmental life cycle assessment as a tool for process optimisation in the utility sector
title_sort Environmental life cycle assessment as a tool for process optimisation in the utility sector
dc.creator.none.fl_str_mv Corvalán, Sergio M.
Martinez, Pablo Enrique
Eliceche, Ana Maria
author Corvalán, Sergio M.
author_facet Corvalán, Sergio M.
Martinez, Pablo Enrique
Eliceche, Ana Maria
author_role author
author2 Martinez, Pablo Enrique
Eliceche, Ana Maria
author2_role author
author
dc.subject.none.fl_str_mv ENVIRONMENTAL LIFE CYCLE
OPTIMISATION
UTILITY
topic ENVIRONMENTAL LIFE CYCLE
OPTIMISATION
UTILITY
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.7
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv A methodology is presented to calculate the optimum operating conditions of a petrochemical plant utility sector, to minimize the overall Life Cycle Environmental Impact. The battery limits of the system studied are extended to include the relevant environmental impacts corresponding to the electricity imported generated in thermoelectric, hydroelectric and nuclear plants. The Overall Environmental Impact is calculated as a weighted sum of the following Potential Environmental Impact categories: Global Warming, Acidification, Eutrophication, Photochemical Oxidation, Ozone Depletion, Human Toxicity and Ecotoxicity. The contribution of each component emission to these environmental categories is evaluated multiplying its flow rate by the corresponding Heijungs factor. A Mixed Integer Non Linear Programming problem is formulated and solved in GAMS. Global Warming is the most relevant contribution. Significant reductions in the Overall Environmental Impact and particularly in Global Warming are achieved selecting the pressure and temperature of high, medium and low pressure headers and the optional drivers that can be electrical motors or steam turbines. Improvements are also reported in the operating cost, natural gas, water and electricity consumption.
Fil: Corvalán, Sergio M.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Martinez, Pablo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Eliceche, Ana Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
description A methodology is presented to calculate the optimum operating conditions of a petrochemical plant utility sector, to minimize the overall Life Cycle Environmental Impact. The battery limits of the system studied are extended to include the relevant environmental impacts corresponding to the electricity imported generated in thermoelectric, hydroelectric and nuclear plants. The Overall Environmental Impact is calculated as a weighted sum of the following Potential Environmental Impact categories: Global Warming, Acidification, Eutrophication, Photochemical Oxidation, Ozone Depletion, Human Toxicity and Ecotoxicity. The contribution of each component emission to these environmental categories is evaluated multiplying its flow rate by the corresponding Heijungs factor. A Mixed Integer Non Linear Programming problem is formulated and solved in GAMS. Global Warming is the most relevant contribution. Significant reductions in the Overall Environmental Impact and particularly in Global Warming are achieved selecting the pressure and temperature of high, medium and low pressure headers and the optional drivers that can be electrical motors or steam turbines. Improvements are also reported in the operating cost, natural gas, water and electricity consumption.
publishDate 2005
dc.date.none.fl_str_mv 2005-05
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/11336/97035
Corvalán, Sergio M.; Martinez, Pablo Enrique; Eliceche, Ana Maria; Environmental life cycle assessment as a tool for process optimisation in the utility sector; Elsevier; Computer Aided Chemical Engineering; 20; C; 5-2005; 853-858
1570-7946
CONICET Digital
CONICET
url http://hdl.handle.net/11336/97035
identifier_str_mv Corvalán, Sergio M.; Martinez, Pablo Enrique; Eliceche, Ana Maria; Environmental life cycle assessment as a tool for process optimisation in the utility sector; Elsevier; Computer Aided Chemical Engineering; 20; C; 5-2005; 853-858
1570-7946
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.sciencedirect.com/science/article/pii/S1570794605802640
info:eu-repo/semantics/altIdentifier/doi/10.1016/S1570-7946(05)80264-0
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 Elsevier
publisher.none.fl_str_mv Elsevier
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 13.13397

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