Startseite Genetic Algorithm Approach to Optimize Biodiesel Production by Ultrasonic System
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Genetic Algorithm Approach to Optimize Biodiesel Production by Ultrasonic System

  • Ebrahim Fayyazi , Barat Ghobadian EMAIL logo , Gholamhassan Najafi und Bahram Hosseinzadeh
Veröffentlicht/Copyright: 25. Januar 2014
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Abstract

Ultrasonic processing is an effective tool to attain required mixing while providing the necessary activation energy in the field of biofuels. In this regard, optimization of fast transesterification of waste cooking oil is very important. The goal of this research paper is therefore to determine the effect of important parameters such as methanol to oil molar ratio, catalyst concentration (potassium hydroxide), temperature, and horn position on oil conversion to methyl ester in ultrasonic mixing method. Result of experiments showed that the optimum conditions for the transesterification process have been obtained as molar ratio of alcohol to oil as 6:1, catalyst concentration of 1 wt.%, temperature as 45°C, and horn position at the interface of methanol to oil. The results show that the ultrasonic method decreases the reaction time as much as up to eight times compare to the conventional stirring. For practically evaluating the theoretical optimum point using genetic algorithm, the obtained values were verified experimentally. In order to perform this, the catalyst concentration, temperature, and the time of reaction were determined, and the values are 1%, 48°C, and 449s, respectively. For the obtained values, the biodiesel conversion was 93.2%, so that the experimental optimum value is closed to that of the theoretical values. As a result, experimental data confirmed the obtained values from optimization method in this research work.

Acknowledgments

This research work has been conducted at Biofuel Laboratories of Agriculture faculty of Tarbiat Modares University. Hereby the authors would also like to acknowledge the funds provided by Iranian Fuel Conservation Company (IFCO) to carry out this research work.

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Published Online: 2014-1-25
Published in Print: 2014-6-1

©2014 by Walter de Gruyter Berlin / Boston

Heruntergeladen am 30.11.2025 von https://www.degruyterbrill.com/document/doi/10.1515/cppm-2013-0043/pdf
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