|Author||Dhingra, Sunil ♦ Bhushan, Gian ♦ Dubey, Kashyap Kumar|
|Publisher||Springer Berlin Heidelberg|
|Subject Domain (in DDC)||Technology ♦ Engineering & allied operations|
|Subject Keyword||optimization of karanja biodiesel ♦ genetic algorithm (GA) ♦ response surface methodology (RSM) ♦ percentage improvement in the biodiesel yield ♦ properties of biodiesel ♦ Energy Technology|
|Abstract||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 °C, 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.|
|Age Range||18 to 22 years ♦ above 22 year|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Publisher Institution||Chinese Universities|
|Publisher Place||Berlin, Heidelberg|
|Journal||Frontiers of Energy and Power Engineering in China|
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