Effect of Biodiesel Mixture Derived from Waste Frying-Corn, Frying-Canola-Corn and Canola-Corn Cooking Oils with Various ?Ages on Physicochemical Properties

Renas Hasan Saeed Saeed, Youssef Kassem and Hüseyin Çamur
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Renas Hasan Saeed Saeed: Department of Mechanical Engineering, Engineering Faculty, Near East University, 99138 Nicosia (via Mersin 10, Turkey), Cyprus
Youssef Kassem: Department of Mechanical Engineering, Engineering Faculty, Near East University, 99138 Nicosia (via Mersin 10, Turkey), Cyprus
Hüseyin Çamur: Department of Mechanical Engineering, Engineering Faculty, Near East University, 99138 Nicosia (via Mersin 10, Turkey), Cyprus

Energies, 2019, vol. 12, issue 19, 1-26

Abstract: Waste frying, corn and canola cooking oil biodiesels were produced through the transesterification ‎process and their properties were measured. Three different mixtures of biodiesel with the same blending ratio, namely, WCME1 (frying-corn biodiesel), WCME2 (frying-canola-corn biodiesel) and WCME3 (canola-corn biodiesel), were prepared. The effect ‎of ‎blending ‎biodiesel with various ages ‎‎(zero months (WCME3), eight months (WCME1), and 30 months (WCME2)) on kinematic ‎viscosity and‎ density was investigated under varying temperature and volume fraction. It was found that the kinematic viscosity of WCME2 remained within the ranges listed in ASTM D445 (‎1.9–6.0‎ mm 2 /s) and EN-14214‎ (‎3.5–5.0‎ mm 2 /s) at 30 months. It was also observed that both viscosity and density decreased as the temperature increased for each fuel sample. In order to improve the cold flow properties of the samples, the Computer-Aided ‎Cooling Curve Analysis (CACCA) technique was used to explore the crystallization/melting ‎profiles of ‎pure ‎methyl biodiesel as ‎well their blends. The results show that pure WCME2 has the lowest cold flow properties compared to other samples. Furthermore, 10 ‎correlations ‎were developed, tested and compared with generalized ‎correlations for the ‎estimation of the ‎viscosity and densities of pure biodiesels and their ‎blends. These equations depend on the temperature and volume fraction of pure components as well as the properties of the fuel.

Keywords: biodiesel properties, computer aided cooling curve analysis; correlations; response surface ?methodology; various ages; waste vegetable cooking oils (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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