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dc.contributor.author
Alvarez, Gonzalo Exequiel
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dc.date.available
2024-08-26T10:24:36Z
dc.date.issued
2023-02
dc.identifier.citation
Alvarez, Gonzalo Exequiel; Analysis of large-scale droughts in the energy field by using mathematical programming: The case of the Paraná River basin; Growing Science; Journal of Future Sustainability; 3; 4; 2-2023; 183-200
dc.identifier.issn
2816-8143
dc.identifier.uri
http://hdl.handle.net/11336/243080
dc.description.abstract
Effects of climate change can already be observed in many regions of the world. The basin of the Paraná River, in South America, has been suffering an important drought since 2019 in the whole region. The extension of the crisis has increased the risks in the flora and fauna, losses in logistics of navigation, besides the problems of urban water cleansing. In this regard, the novel proposal presents a new mathematical model to study the impact of this crisis. Besides the traditional constraints of the literature for hydraulic systems, this paper enhances inventory constraints, connections with electric systems, and other considerations as the head effects in electricity generation. Because several equations related to electricity generation are nonlinear (which the subsequent computational effort impacts), this proposal applies linearization techniques to reduce CPU times. The core is related to hydropower production, and the consequences of the water crisis in the regional markets. The mathematical model analyzes the interrelationships between reservoirs and water flows of the basin. To study the effectiveness of the novel proposal, the reported situation of the basin of the Paraná River is studied by considering two scenarios (normal conditions of the river flow and the conditions related to the drought). Results show that the crisis implies daily net economic losses of about 7 million USD for the operators of the power plants. Other problems (different from the ones related to the energy field) are also mentioned and analyzed.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Growing Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
Water crisis
dc.subject
electricity generation
dc.subject
electric power system
dc.subject
optimization
dc.subject
mixed-integer linear programming
dc.subject.classification
Ingeniería Eléctrica y Electrónica
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dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Analysis of large-scale droughts in the energy field by using mathematical programming: The case of the Paraná River basin
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-04-10T12:22:27Z
dc.identifier.eissn
2816-8151
dc.journal.volume
3
dc.journal.number
4
dc.journal.pagination
183-200
dc.journal.pais
Canadá
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dc.journal.ciudad
Vancouver
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
Journal of Future Sustainability
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.growingscience.com/jfs/Vol3/jfs_2023_16.pdf
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5267/j.jfs.2023.2.001
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