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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