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dc.contributor.author
Pietrasanta, Ariana Milagros  
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Shaaban, Mostafa F.  
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Aguirre, Pio Antonio  
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Mussati, Sergio Fabian  
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Hamouda, Mohamed A.  
dc.date.available
2024-04-12T11:15:48Z  
dc.date.issued
2023-06  
dc.identifier.citation
Pietrasanta, Ariana Milagros; Shaaban, Mostafa F.; Aguirre, Pio Antonio; Mussati, Sergio Fabian; Hamouda, Mohamed A.; Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research; MDPI AG; Sustainability; 15; 12; 6-2023; 9180-9208  
dc.identifier.issn
2071-1050  
dc.identifier.uri
http://hdl.handle.net/11336/232823  
dc.description.abstract
Seawater desalination is emerging as one of the preferred systems for dealing with theproblems of freshwater scarcity, which makes it necessary to redouble efforts to obtain an optimaland competent production process. For this reason, the coupling of water desalination and renewable energy systems is not surprising. This study applied a bibliometric analysis to evaluate the research trends on desalination systems and renewable energies from an engineering approach using optimizations or simulation techniques. The Scopus database was used for this study, selecting articles published between 2009 and 2022. A general analysis was carried out regarding trends in the number of articles produced, number of citations, subject area, journals, countries, institutes, and authors.Further, a more specific analysis was then performed in terms of renewable energy technologies used and preferred optimization/simulation methods and software used. The results also revealed that the field is growing, based on the number of articles published and the increase in citations. On the other hand, it was found that the most studied renewable energies, in coupling with desalinationsystems and from an optimization/simulation approach, are solar and wind.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
MDPI AG  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
BIBLIOMETRIC ANALYSIS  
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DESALINATION  
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RENEWABLE ENERGY  
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SIMULATION  
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OPTIMIZACIÓN  
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Ingeniería de Procesos Químicos  
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Ingeniería Química  
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INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-04-10T12:20:50Z  
dc.journal.volume
15  
dc.journal.number
12  
dc.journal.pagination
9180-9208  
dc.journal.pais
Suiza  
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  
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Fil: Shaaban, Mostafa F.. American University Of Sharjah.; Emiratos Árabes Unidos  
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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: 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  
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Fil: Hamouda, Mohamed A.. United Arab Emirates University; Emiratos Árabes Unidos  
dc.journal.title
Sustainability  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.3390/su15129180