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Author Dhingra, Sunil ♦ Bhushan, Gian ♦ Dubey, Kashyap Kumar
Source SpringerLink
Content type Text
Publisher Springer Berlin Heidelberg
File Format PDF
Copyright Year ©2013
Language English
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.
ISSN 20951701
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-08-17
Publisher Institution Chinese Universities
Publisher Place Berlin, Heidelberg
e-ISSN 20951698
Journal Frontiers of Energy and Power Engineering in China
Volume Number 7
Issue Number 4
Page Count 11
Starting Page 495
Ending Page 505


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Source: SpringerLink