Development of a combined approach for improvement and optimization of karanja biodiesel using response surface methodology and genetic algorithm
Development of a combined approach for improvement and optimization of karanja biodiesel using response surface methodology and genetic algorithm
Sunil DHINGRA1(), Gian BHUSHAN2, Kashyap Kumar DUBEY3
1. University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra 136119, India; 2. National Institute of Technology, Kurukshetra 136119, India; 3. University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak 124001, India
This paper described the production of karanja biodiesel using response surface methodology (RSM) and genetic algorithm (GA). The optimum combination of reaction variables were analyzed for maximizing the biodiesel yield. The yield obtained by the RSM was 65% whereas the predicted value was 70%. The mathematical regression model proposed from the RSM was coupled with the GA. By using this technique, 90% of the yield was obtained at a molar ratio of 38, a reaction time of 8 hours, a reaction temperature of 40 oC, a catalyst concentration of 2% oil, and a mixing speed of 707 r/min. The yield produced was closer to the predicted value of 94.2093%. Hence, 25% of the improvement in the biodiesel yield was reported. Moreover the different properties of karanja biodiesel were found closer to the American Society for Testing & Materials (ASTM) standard of biodiesel.
. Development of a combined approach for improvement and optimization of karanja biodiesel using response surface methodology and genetic algorithm[J]. Frontiers in Energy, 2013, 7(4): 495-505.
Sunil DHINGRA, Gian BHUSHAN, Kashyap Kumar DUBEY. Development of a combined approach for improvement and optimization of karanja biodiesel using response surface methodology and genetic algorithm. Front Energ, 2013, 7(4): 495-505.
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