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dc.contributor.authorYatim, Fatima Ezzahra
dc.contributor.authorSamadi, Khaoula
dc.contributor.authorAbala, Ilham
dc.contributor.authorLifi, Mohamed
dc.contributor.authorMuñoz Rujas, Natalia 
dc.contributor.authorAguilar Romero, Fernando 
dc.contributor.authorAlaoui, Fatima E. M. 
dc.date.accessioned2026-01-21T12:17:10Z
dc.date.available2026-01-21T12:17:10Z
dc.date.issued2025-09
dc.identifier.issn0960-1481
dc.identifier.urihttps://hdl.handle.net/10259/11258
dc.description.abstractBioenergy and biofuels are at a critical stage of development. Their role in decarbonising the transport sector, particularly in reducing emissions from shipping and aviation, is widely recognized. Waste Cooking Oil Biodiesel (WCOB) is a promising biofuel, due to its economic viability and sustainability. Additionally, oxygenated additives, such as Dibutyl Ether (DBE), enhance the properties of biofuel blends by improving combustion efficiency and reducing emissions. In this study, the density of WCOB and DBE, was systematically investigated under controlled temperature and pressure conditions. Four mixtures with mass fractions of 0.3500, 0.4998, 0.6750, and 0.8492 were prepared. Density measurements were performed over a temperature range of 298.15 K–393.15 K and a pressure range of 1–140 MPa. The Tait equation was used to correlate the experimental density data, which were subsequently used to determine the derived thermodynamic properties of isobaric expansion and isothermal compressibility. The blend density was also predicted using the PC-SAFT equation of state and artificial neural networks (ANN). Models accuracy was evaluated and discussed using a statistical metrics. The ANN model provided the best accuracy for the complete dataset, with AAD = 0.1246 %, MD = 2.3046 % and RMSE = 1.84.10−3, demonstrating its effectiveness in predicting blend densities.en
dc.description.sponsorshipThis research was supported by a grant from National Center for Scientific and Technical Research (CNRST), Morocco (Grant number: 11UCD2020).en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofRenewable Energy. 2025, V. 256, p. 124469es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBiofuel blendsen
dc.subjectWaste cooking oilen
dc.subjectDibutyl etheren
dc.subjectDensityen
dc.subjectPC-Saft modelen
dc.subjectArtificial neural networken
dc.subject.otherIngeniería Químicaes
dc.subject.otherChemical engineeringen
dc.subject.otherTermodinámicaes
dc.subject.otherThermodynamicsen
dc.titleBiofuels as a sustainable energy solution: Density measurement and modeling of waste cooking oil and DBE blenden
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses
dc.relation.publisherversionhttps://doi.org/10.1016/j.renene.2025.124469es
dc.identifier.doi10.1016/j.renene.2025.124469
dc.journal.titleRenewable Energyes
dc.volume.number256es
dc.page.initial124469es
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones


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