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Elucidating the dynamics of salinity gradient energy research

dc.contributor.authorKhayet Souhaimi, Mohamed
dc.contributor.authorAytaç, Ersin
dc.contributor.authorEssalhi, Mohamed
dc.contributor.authorCipollina, Andrea
dc.contributor.authorGarcía Fernández, Loreto
dc.contributor.authorContreras Martínez, Jorge
dc.contributor.authorGarcía Payo, M. Carmen
dc.contributor.authorRuíz García, Alejandro
dc.contributor.authorFigoli, Alberto
dc.date.accessioned2025-05-19T15:54:15Z
dc.date.available2025-05-19T15:54:15Z
dc.date.issued2025
dc.description.abstractThis study uses bibliometric methods, machine learning, and data analysis to examine Salinity Gradient Energy (SGE), a renewable energy source derived from saline water sources of different concentrations such as seawater, waste brines and mining industries. SGE's use of advanced membrane processes efficiently extracts energy from the difference in salinity between different waters. Based on the dataset collected up to January 22, 2024 that contains 1270 articles, the following in-depth analysis sheds light on the SGE scientific progress, trending topics, strong collaborations, current trends, dominant authors, influential articles, important affiliations, basic statistics, common words, sentiments, and emotions to reveal the quality, quantity, and impact of the domain. Since the first SGE paper published in 1976, SGE research has attracted considerable attention from researchers over the last 20 years. Reverse Electrodialysis (RED) and Pressure Retarded Osmosis (PRO) are identified as the leading energy harvesting technologies. However, in recent years, the number of research studies on RED has increased. Institutions from China and the USA contributed more to the SGE progress. “Ion current rectification” is the trending topic of 2023. Sentiment and emotion scores revealed researchers' optimistic and neutral views on SGE technologies.
dc.description.departmentDepto. de Estructura de la Materia, Física Térmica y Electrónica
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipEuropean Commission
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades (España)
dc.description.sponsorshipAgencia Estatal de Investigación (España)
dc.description.statuspub
dc.identifier.citationKhayet M, Aytaç E, Essalhi M, Cipollina A, García-Fernández L, Contreras-Martínez J, et al. Elucidating the dynamics of salinity gradient energy research. Renewable and Sustainable Energy Reviews 2025;219:115812. https://doi.org/10.1016/j.rser.2025.115812.
dc.identifier.doi10.1016/j.rser.2025.115812
dc.identifier.essn1879-0690
dc.identifier.issn1364-0321
dc.identifier.officialurlhttps://doi.org/10.1016/j.rser.2025.115812
dc.identifier.relatedurlhttps://www.sciencedirect.com/science/article/pii/S136403212500485X
dc.identifier.urihttps://hdl.handle.net/20.500.14352/120221
dc.journal.titleRenewable and Sustainable Energy Reviews
dc.language.isoeng
dc.page.final115812-22
dc.page.initial115812-1
dc.publisherElsevier
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-138389OB-C31/ES/
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu536
dc.subject.cdu620.92
dc.subject.cdu628.16
dc.subject.keywordSalinity gradient power
dc.subject.keywordBibliometric analysis
dc.subject.keywordBlue energy
dc.subject.keywordEmotion analysis
dc.subject.keywordMachine learning
dc.subject.keywordSentiment analysis
dc.subject.keywordZero-shot classification
dc.subject.ucmTermodinámica
dc.subject.unesco2213 Termodinámica
dc.subject.unesco2510.91 Recursos Renovables
dc.subject.unesco2210.19 Fenómenos de Membrana
dc.titleElucidating the dynamics of salinity gradient energy research
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number219
dspace.entity.typePublication
relation.isAuthorOfPublication8e32e718-0959-4e6c-9e04-891d3d43d640
relation.isAuthorOfPublicatione7e3202f-54c3-404d-beb1-b9b3d554536f
relation.isAuthorOfPublication7774ebd3-6dbf-46cb-9d0e-b0ebc82d9ac2
relation.isAuthorOfPublication4445a915-d69c-4da6-8878-c17f5b0b7811
relation.isAuthorOfPublication.latestForDiscovery8e32e718-0959-4e6c-9e04-891d3d43d640

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