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dc.contributor.author
Pietrasanta, Ariana Milagros
dc.contributor.author
Mussati, Sergio Fabian
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Aguirre, Pio Antonio
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Morosuk, Tatiana
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Mussati, Miguel Ceferino
dc.date.available
2023-11-13T14:06:14Z
dc.date.issued
2022-11
dc.identifier.citation
Pietrasanta, Ariana Milagros; Mussati, Sergio Fabian; Aguirre, Pio Antonio; Morosuk, Tatiana; Mussati, Miguel Ceferino; Optimization of Cogeneration Power-Desalination Plants; MDPI; Energies; 15; 22; 11-2022; 1-22
dc.identifier.issn
1996-1073
dc.identifier.uri
http://hdl.handle.net/11336/217889
dc.description.abstract
The design of new dual-purpose thermal desalination plants is a combinatory problem because the optimal process configuration strongly depends on the desired targets of electricity and freshwater. This paper proposes a mathematical model for selecting the optimal structure, the operating conditions, and sizes of all system components of dual-purpose thermal desalination plants. Electricity is supposed to be generated by a combined-cycle heat and power plant (CCHPP) with the following candidate structures: (a) one or two gas turbines; (b) one or two additional burners in the heat recovery steam generator; (c) the presence or missing a medium-pressure steam turbine; (d) steam generation and reheating at low pressure. Freshwater is supposed to be obtained from two candidate thermal processes: and (e) a multi-effect distillation (MED) or a multi-stage flash (MSF) system. The number of effects in MED and stages in MSF are also discrete decisions. Different case studies are presented to show the applicability of the model for same cost data. The proposed model is a powerful tool in optimizing new plants (or plants under modernization) and/or improving existing plants for desired electricity generation and freshwater production. No articles addressing the optimization involving the discrete decisions mentioned above are found in the literature.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
MDPI
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
COMBINED-CYCLE HEAT AND POWER PLANT
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DESALINATION
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MINLP
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MULTI-EFFECT DISTILLATION
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MUTI-STAGE FLASH DESALINATION
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OPTIMIZATION
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Ingeniería Química
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Ingeniería Química
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INGENIERÍAS Y TECNOLOGÍAS
dc.title
Optimization of Cogeneration Power-Desalination Plants
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-11-13T10:38:15Z
dc.journal.volume
15
dc.journal.number
22
dc.journal.pagination
1-22
dc.journal.pais
Suiza
dc.journal.ciudad
Basel
dc.description.fil
Fil: Pietrasanta, Ariana Milagros. 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.description.fil
Fil: Mussati, Sergio Fabian. 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.description.fil
Fil: Aguirre, Pio Antonio. 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.description.fil
Fil: Morosuk, Tatiana. Technishe Universitat Berlin; Alemania
dc.description.fil
Fil: Mussati, Miguel Ceferino. 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
Energies
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/en15228374
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