Enhancing the large-scale electric power systems to meet future demands considering the sustainable technologies

Autores
Alvarez, Gonzalo Exequiel
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Electricity systems are currently expanding towards more efficient forms of production. Several expansionary strategies are being developed to cover increases in future electricity demand. Goals such as reducing greenhouse gas emissions, increasing the efficiency of operations, and achieving more equitable participation of the actors in charge of the investments are set. Following this premise, this paper presents a multi-objective model that helps in decision-making on the problem of expanding electricity generation. The model considers more realistic views than other works in the literature. The vast majority of the stakeholders in the studied field are satisfied with the present proposal. Investment costs, greenhouse emissions, and investment contribution rates are considered. Also, the actual procedures of the generation and transmission stages are rigorously studied. This means obtaining solutions that are closer to reality. The case study is the electricity system of Argentina. The results obtained indicate that the recommended solutions are the most convenient from all points of view. They constitute a mix of the generation with renewable and non-renewable technologies. The case study reveals emission reductions of up to 25% and it can be achieved that the most vulnerable social groups do not have to finance future system expansions
Fil: Alvarez, Gonzalo Exequiel. 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
MIXED INTEGER LINEAR PROGRAMMING
SADI
ARGENTINEAN ELECTRIC POWER SYSTEM
ENERGY INVESTMENTS
ELECTRIC POWER GENERATION
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:11336/172605
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Enhancing the large-scale electric power systems to meet future demands considering the sustainable technologiesAlvarez, Gonzalo ExequielMIXED INTEGER LINEAR PROGRAMMINGSADIARGENTINEAN ELECTRIC POWER SYSTEMENERGY INVESTMENTSELECTRIC POWER GENERATIONhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Electricity systems are currently expanding towards more efficient forms of production. Several expansionary strategies are being developed to cover increases in future electricity demand. Goals such as reducing greenhouse gas emissions, increasing the efficiency of operations, and achieving more equitable participation of the actors in charge of the investments are set. Following this premise, this paper presents a multi-objective model that helps in decision-making on the problem of expanding electricity generation. The model considers more realistic views than other works in the literature. The vast majority of the stakeholders in the studied field are satisfied with the present proposal. Investment costs, greenhouse emissions, and investment contribution rates are considered. Also, the actual procedures of the generation and transmission stages are rigorously studied. This means obtaining solutions that are closer to reality. The case study is the electricity system of Argentina. The results obtained indicate that the recommended solutions are the most convenient from all points of view. They constitute a mix of the generation with renewable and non-renewable technologies. The case study reveals emission reductions of up to 25% and it can be achieved that the most vulnerable social groups do not have to finance future system expansionsFil: Alvarez, Gonzalo Exequiel. 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; ArgentinaGrowing Science2022-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/172605Alvarez, Gonzalo Exequiel; Enhancing the large-scale electric power systems to meet future demands considering the sustainable technologies; Growing Science; Management Science Letters; 12; 4; 4-2022; 331-3401923-93431923-9335CONICET DigitalCONICETenghttps://ri.conicet.gov.ar/handle/11336/200092info:eu-repo/semantics/altIdentifier/url/http://growingscience.com/beta/msl/5517-enhancing-the-large-scale-electric-power-systems-to-meet-future-demands-considering-the-sustainable-technologies.htmlinfo:eu-repo/semantics/altIdentifier/doi/10.5267/j.msl.2022.4.001info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:40:40Zoai:ri.conicet.gov.ar:11336/172605instacron: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 09:40:40.495CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Enhancing the large-scale electric power systems to meet future demands considering the sustainable technologies
title Enhancing the large-scale electric power systems to meet future demands considering the sustainable technologies
spellingShingle Enhancing the large-scale electric power systems to meet future demands considering the sustainable technologies
Alvarez, Gonzalo Exequiel
MIXED INTEGER LINEAR PROGRAMMING
SADI
ARGENTINEAN ELECTRIC POWER SYSTEM
ENERGY INVESTMENTS
ELECTRIC POWER GENERATION
title_short Enhancing the large-scale electric power systems to meet future demands considering the sustainable technologies
title_full Enhancing the large-scale electric power systems to meet future demands considering the sustainable technologies
title_fullStr Enhancing the large-scale electric power systems to meet future demands considering the sustainable technologies
title_full_unstemmed Enhancing the large-scale electric power systems to meet future demands considering the sustainable technologies
title_sort Enhancing the large-scale electric power systems to meet future demands considering the sustainable technologies
dc.creator.none.fl_str_mv Alvarez, Gonzalo Exequiel
author Alvarez, Gonzalo Exequiel
author_facet Alvarez, Gonzalo Exequiel
author_role author
dc.subject.none.fl_str_mv MIXED INTEGER LINEAR PROGRAMMING
SADI
ARGENTINEAN ELECTRIC POWER SYSTEM
ENERGY INVESTMENTS
ELECTRIC POWER GENERATION
topic MIXED INTEGER LINEAR PROGRAMMING
SADI
ARGENTINEAN ELECTRIC POWER SYSTEM
ENERGY INVESTMENTS
ELECTRIC POWER GENERATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Electricity systems are currently expanding towards more efficient forms of production. Several expansionary strategies are being developed to cover increases in future electricity demand. Goals such as reducing greenhouse gas emissions, increasing the efficiency of operations, and achieving more equitable participation of the actors in charge of the investments are set. Following this premise, this paper presents a multi-objective model that helps in decision-making on the problem of expanding electricity generation. The model considers more realistic views than other works in the literature. The vast majority of the stakeholders in the studied field are satisfied with the present proposal. Investment costs, greenhouse emissions, and investment contribution rates are considered. Also, the actual procedures of the generation and transmission stages are rigorously studied. This means obtaining solutions that are closer to reality. The case study is the electricity system of Argentina. The results obtained indicate that the recommended solutions are the most convenient from all points of view. They constitute a mix of the generation with renewable and non-renewable technologies. The case study reveals emission reductions of up to 25% and it can be achieved that the most vulnerable social groups do not have to finance future system expansions
Fil: Alvarez, Gonzalo Exequiel. 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 Electricity systems are currently expanding towards more efficient forms of production. Several expansionary strategies are being developed to cover increases in future electricity demand. Goals such as reducing greenhouse gas emissions, increasing the efficiency of operations, and achieving more equitable participation of the actors in charge of the investments are set. Following this premise, this paper presents a multi-objective model that helps in decision-making on the problem of expanding electricity generation. The model considers more realistic views than other works in the literature. The vast majority of the stakeholders in the studied field are satisfied with the present proposal. Investment costs, greenhouse emissions, and investment contribution rates are considered. Also, the actual procedures of the generation and transmission stages are rigorously studied. This means obtaining solutions that are closer to reality. The case study is the electricity system of Argentina. The results obtained indicate that the recommended solutions are the most convenient from all points of view. They constitute a mix of the generation with renewable and non-renewable technologies. The case study reveals emission reductions of up to 25% and it can be achieved that the most vulnerable social groups do not have to finance future system expansions
publishDate 2022
dc.date.none.fl_str_mv 2022-04
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/11336/172605
Alvarez, Gonzalo Exequiel; Enhancing the large-scale electric power systems to meet future demands considering the sustainable technologies; Growing Science; Management Science Letters; 12; 4; 4-2022; 331-340
1923-9343
1923-9335
CONICET Digital
CONICET
url http://hdl.handle.net/11336/172605
identifier_str_mv Alvarez, Gonzalo Exequiel; Enhancing the large-scale electric power systems to meet future demands considering the sustainable technologies; Growing Science; Management Science Letters; 12; 4; 4-2022; 331-340
1923-9343
1923-9335
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ri.conicet.gov.ar/handle/11336/200092
info:eu-repo/semantics/altIdentifier/url/http://growingscience.com/beta/msl/5517-enhancing-the-large-scale-electric-power-systems-to-meet-future-demands-considering-the-sustainable-technologies.html
info:eu-repo/semantics/altIdentifier/doi/10.5267/j.msl.2022.4.001
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 Growing Science
publisher.none.fl_str_mv Growing 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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score 13.070432

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