2026-05-07T18:27:08Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/112582026-02-17T10:55:00Zcom_10259_9737com_10259_5086com_10259_2604col_10259_10448

Yatim, Fatima Ezzahra 5e244197-46ff-494d-964d-6a8b3f715819 600 Samadi, Khaoula e065f18c-ff53-4b3b-96b5-11a3789ca375 600 Abala, Ilham 2bdcd7f0-4adc-4c04-991f-e6f886d29feb 600 Lifi, Mohamed 1f0a7148-9b14-44e2-a1ee-c6631a49ff82 600 Muñoz Rujas, Natalia 383 600 0000-0003-2185-1392 Aguilar Romero, Fernando 902 600 0000-0002-2982-9053 Alaoui, Fatima E. M. 11 600 0000-0001-7443-6796 2026-01-21T12:17:10Z 2026-01-21T12:17:10Z 2025-09 2027-09-22 0960-1481 https://hdl.handle.net/10259/11258 10.1016/j.renene.2025.124469 Bioenergy 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. This research was supported by a grant from National Center for Scientific and Technical Research (CNRST), Morocco (Grant number: 11UCD2020). application/pdf eng Elsevier Renewable Energy. 2025, V. 256, p. 124469 https://doi.org/10.1016/j.renene.2025.124469 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/embargoedAccess Biofuel blends Waste cooking oil Dibutyl ether Density PC-Saft model Artificial neural network Ingeniería Química Termodinámica Chemical engineering Thermodynamics Biofuels as a sustainable energy solution: Density measurement and modeling of waste cooking oil and DBE blend info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Renewable Energy 256 124469 THUMBNAIL Yatim-re_2025.pdf.jpg Yatim-re_2025.pdf.jpg IM Thumbnail image/jpeg 4456 https://riubu.ubu.es/bitstream/10259/11258/4/Yatim-re_2025.pdf.jpg c4afbebc3f5706f338c983729c3ff9f0 MD5 4 LICENSE license.txt license.txt text/plain; charset=utf-8 1362 https://riubu.ubu.es/bitstream/10259/11258/3/license.txt 5d013bfa6e473ff0db22cd82a4d71a70 MD5 3 CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 805 https://riubu.ubu.es/bitstream/10259/11258/2/license_rdf 4460e5956bc1d1639be9ae6146a50347 MD5 2 ORIGINAL Yatim-re_2025.pdf Yatim-re_2025.pdf application/pdf 1001789 https://riubu.ubu.es/bitstream/10259/11258/1/Yatim-re_2025.pdf f9e482c2643a98bb048f06d35133ead5 MD5 1 10259/11258 oai:riubu.ubu.es:10259/11258 2026-02-17 11:55:00.689 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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