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dc.contributor.author
Alvarez, Gonzalo Exequiel
dc.date.available
2022-10-12T11:29:07Z
dc.date.issued
2022-04
dc.identifier.citation
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
dc.identifier.issn
1923-9343
dc.identifier.uri
http://hdl.handle.net/11336/172605
dc.description.abstract
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
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Growing Science
dc.relation
https://ri.conicet.gov.ar/handle/11336/200092
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
MIXED INTEGER LINEAR PROGRAMMING
dc.subject
SADI
dc.subject
ARGENTINEAN ELECTRIC POWER SYSTEM
dc.subject
ENERGY INVESTMENTS
dc.subject
ELECTRIC POWER GENERATION
dc.subject.classification
Ingeniería Eléctrica y Electrónica
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Enhancing the large-scale electric power systems to meet future demands considering the sustainable technologies
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-07-04T20:16:57Z
dc.identifier.eissn
1923-9335
dc.journal.volume
12
dc.journal.number
4
dc.journal.pagination
331-340
dc.journal.pais
Canadá
dc.description.fil
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
dc.journal.title
Management Science Letters
dc.relation.alternativeid
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
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5267/j.msl.2022.4.001
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