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Empirical model for biodiesel-diesel blending using different processing technologies and feedstock


Article Information

Title: Empirical model for biodiesel-diesel blending using different processing technologies and feedstock

Authors: M. S. Gad, Ashraf Amin, Ibrahim Mustafa

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2022

Volume: 17

Issue: 6

Language: English

Categories

Abstract

An empirical model for predicting the relationship between the properties of the biodiesel–diesel fuel blends (the density, flash point, cetane number, kinematic viscosity, and calorific value of the biodiesel–diesel fuel blend) and biodiesel fractions is developed. The developed model represents a universal model for predicting the properties of the biodiesel-diesel blend. The results of the experimental correlations data were near the predicted mathematical equation with a confidence level of 95%.The results indicated R2 = 0.95-0.99 in calculating the biodiesel/diesel blends densities as a function of the biodiesel volume proportion. Similarly, the results showed that R2 ranges from 0.97 to 0.99 in predicting flashpoint and kinematic viscosity. To achieve an optimum blend of biodiesel with diesel, several feed stocks/preparation methods can be conducted to achieve the superior blend.


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