Mathematical Modeling for the Prediction of Fuel Properties of Biodiesel from their FAME Composition
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.
Daizhong Su, Qingbin Zhang and Shifan Zhu
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