Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research

Autores
Pietrasanta, Ariana Milagros; Shaaban, Mostafa F.; Aguirre, Pio Antonio; Mussati, Sergio Fabian; Hamouda, Mohamed A.
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
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
Fil: Shaaban, Mostafa F.. American University Of Sharjah.; Emiratos Árabes Unidos
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
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
Fil: Hamouda, Mohamed A.. United Arab Emirates University; Emiratos Árabes Unidos
Materia
BIBLIOMETRIC ANALYSIS
DESALINATION
RENEWABLE ENERGY
SIMULATION
OPTIMIZACIÓN
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/232823
Acceder
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spelling Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent ResearchPietrasanta, Ariana MilagrosShaaban, Mostafa F.Aguirre, Pio AntonioMussati, Sergio FabianHamouda, Mohamed A.BIBLIOMETRIC ANALYSISDESALINATIONRENEWABLE ENERGYSIMULATIONOPTIMIZACIÓNhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Seawater 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.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; ArgentinaFil: Shaaban, Mostafa F.. American University Of Sharjah.; Emiratos Árabes UnidosFil: 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; ArgentinaFil: 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; ArgentinaFil: Hamouda, Mohamed A.. United Arab Emirates University; Emiratos Árabes UnidosMDPI AG2023-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/232823Pietrasanta, 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; 9180-92082071-1050CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3390/su15129180info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:44:14Zoai:ri.conicet.gov.ar:11336/232823instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:44:15.056CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research
title Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research
spellingShingle Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research
Pietrasanta, Ariana Milagros
BIBLIOMETRIC ANALYSIS
DESALINATION
RENEWABLE ENERGY
SIMULATION
OPTIMIZACIÓN
title_short Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research
title_full Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research
title_fullStr Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research
title_full_unstemmed Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research
title_sort Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research
dc.creator.none.fl_str_mv Pietrasanta, Ariana Milagros
Shaaban, Mostafa F.
Aguirre, Pio Antonio
Mussati, Sergio Fabian
Hamouda, Mohamed A.
author Pietrasanta, Ariana Milagros
author_facet Pietrasanta, Ariana Milagros
Shaaban, Mostafa F.
Aguirre, Pio Antonio
Mussati, Sergio Fabian
Hamouda, Mohamed A.
author_role author
author2 Shaaban, Mostafa F.
Aguirre, Pio Antonio
Mussati, Sergio Fabian
Hamouda, Mohamed A.
author2_role author
author
author
author
dc.subject.none.fl_str_mv BIBLIOMETRIC ANALYSIS
DESALINATION
RENEWABLE ENERGY
SIMULATION
OPTIMIZACIÓN
topic BIBLIOMETRIC ANALYSIS
DESALINATION
RENEWABLE ENERGY
SIMULATION
OPTIMIZACIÓN
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv 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.
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
Fil: Shaaban, Mostafa F.. American University Of Sharjah.; Emiratos Árabes Unidos
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
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
Fil: Hamouda, Mohamed A.. United Arab Emirates University; Emiratos Árabes Unidos
description 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.
publishDate 2023
dc.date.none.fl_str_mv 2023-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/232823
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
2071-1050
CONICET Digital
CONICET
url http://hdl.handle.net/11336/232823
identifier_str_mv 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
2071-1050
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3390/su15129180
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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