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Measurements and correlations of physico-chemical properties to composition of pseudo-binary mixtures with biodiesel

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  • Nita, I.
  • Geacai, S.
  • Iulian, O.

Abstract

Biodiesel + diesel fuel mixtures are commonly used in the last years especially in the transport area, in order to reduce environment pollution, and the dependency on the imported fossil fuels. Some of the basic properties of these mixtures, especially density and viscosity, strongly influence spray properties, atomization and combustion processes, engine deposits formation, engine behavior in cold weather conditions, being used as input data for predictive engine combustion models. In this study pseudo-binary biodiesel + diesel fuel and biodiesel + benzene mixtures were prepared and densities, viscosities, and refractive indices of mixtures were measured at 298.15 K. The accuracy of different mixing rules and empirical equations used to estimate these properties was evaluated. The density of the studied mixtures can be predicted with a very good accuracy using Kay’s mixing rule or empirical equations obtained from regression analysis. The viscosity of biodiesel + petroleum diesel fuel can be predicted with a very good accuracy using the empirical equations. The viscosities of the two types of biodiesel mixtures are predicted with lower accuracy using Grunberg–Nissan modified equation or one equation developed for petroleum fractions. Density-refractive index and viscosity-refractive index correlations have been developed.

Suggested Citation

  • Nita, I. & Geacai, S. & Iulian, O., 2011. "Measurements and correlations of physico-chemical properties to composition of pseudo-binary mixtures with biodiesel," Renewable Energy, Elsevier, vol. 36(12), pages 3417-3423.
    • Handle: RePEc:eee:renene:v:36:y:2011:i:12:p:3417-3423
    DOI: 10.1016/j.renene.2011.05.020
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    References listed on IDEAS

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    1. Alptekin, Ertan & Canakci, Mustafa, 2008. "Determination of the density and the viscosities of biodiesel–diesel fuel blends," Renewable Energy, Elsevier, vol. 33(12), pages 2623-2630.
    2. Tesfa, B. & Mishra, R. & Gu, F. & Powles, N., 2010. "Prediction models for density and viscosity of biodiesel and their effects on fuel supply system in CI engines," Renewable Energy, Elsevier, vol. 35(12), pages 2752-2760.
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    1. Yahya, Salah I. & Aghel, Babak, 2021. "Estimation of kinematic viscosity of biodiesel-diesel blends: Comparison among accuracy of intelligent and empirical paradigms," Renewable Energy, Elsevier, vol. 177(C), pages 318-326.
    2. Ebna Alam Fahd, M. & Lee, Poh-Seng & Chou, Siaw Kiang & Wenming, Yang & Yap, Christopher, 2014. "Experimental study and empirical correlation development of fuel properties of waste cooking palm biodiesel and its diesel blends at elevated temperatures," Renewable Energy, Elsevier, vol. 68(C), pages 282-288.
    3. Marcos A. Coronado & Gisela Montero & Conrado García & Benjamín Valdez & Ramón Ayala & Armando Pérez, 2017. "Quality Assessment of Biodiesel Blends Proposed by the New Mexican Policy Framework," Energies, MDPI, vol. 10(5), pages 1-14, May.
    4. Dwivedi, Gaurav & Sharma, M.P., 2014. "Impact of cold flow properties of biodiesel on engine performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 650-656.
    5. Zheng, Yuanzhou & Shadloo, Mostafa Safdari & Nasiri, Hossein & Maleki, Akbar & Karimipour, Arash & Tlili, Iskander, 2020. "Prediction of viscosity of biodiesel blends using various artificial model and comparison with empirical correlations," Renewable Energy, Elsevier, vol. 153(C), pages 1296-1306.
    6. Sibel Osman & Amalia Stefaniu, 2023. "Density, Viscosity, and Distillation Temperatures of Binary Blends of Diesel Fuel Mixed with Oxygenated Components at Different Temperatures," Sustainability, MDPI, vol. 15(21), pages 1-20, October.

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