Journal of Applied Science and Engineering

Published by Tamkang University Press


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Masoud Goharimanesh1 , Ali Lashkaripour2 and Aliakbar Akbari This email address is being protected from spambots. You need JavaScript enabled to view it.1

1Mechanical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran
2Department of Biomedical Engineering, Boston University, Boston, United States of America


Received: May 13, 2015
Accepted: December 1, 2015
Publication Date: June 1, 2016

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In this modern technological age, one of the challenges facing the transportation industry, is finding a less polluting substitute for diesel. Meanwhile, any kind of fuel due to the cetane number specified in a diesel cycle cannot be utilized. One of the alternatives for this is biodiesel which is indirectly obtained from animal fat in the presence of alcohol. Cost of biodiesel is more than that of conventional fuels; therefore, optimization of industrial production of biodiesel is with major importance. There are several methods to obtain the optimum temperature for biodiesel production process. In this paper, genetic algorithm, as one of the strongest evolutionary algorithms, has been applied to biodiesel production to obtain the best reaction parameters. Moreover, in order to have a robust optimization, multi objective genetic algorithm is employed. The achieved temperature point for maximizing biodiesel production was a wide range of temperature which can be illustrated as Pareto front to help making the final decision. This study was aimed to maximize the amount of Ester and Alcohol in this production and minimize the other products. This result can define a new strategy for industrial biodiesel production planning.

Keywords: Fuel, Biodiesel, Triglycerides, Methyl Ester, Optimization, Genetic Algorithm


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