Mathematical Modeling for the Prediction of Fuel Properties of Biodiesel from their FAME Composition

Abstract:

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The mono-alkyl esters of vegetable oils or animal fats, known as biodiesel have received significant attention as an alternative diesel fuel. In the present study fuel properties like viscosity, density and High Heat Value (HHV) of ten biodiesels namely Corn, Cottonseed, Linseed, Rapeseed, Safflower, Soybean, Sunflower, Mahua, Jatropha and Palm are predicted using their FAME ( Fatty Acid Methyl Ester) composition by regression analysis and the results obtained are compared and found to be in good agreement with reported literature values.

Info:

Periodical:

Edited by:

Daizhong Su, Qingbin Zhang and Shifan Zhu

Pages:

157-160

DOI:

10.4028/www.scientific.net/KEM.450.157

Citation:

S. Mitra et al., "Mathematical Modeling for the Prediction of Fuel Properties of Biodiesel from their FAME Composition ", Key Engineering Materials, Vol. 450, pp. 157-160, 2011

Online since:

November 2010

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Price:

$35.00

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