Modeling of Biodiesel Cold Filter Plugging Point from their Chemical Composition

Abstract:

This paper studies the chemical composition of biodiesel, cold flow properties, and the influence of chemical composition on cold filter plugging point (CFPP) by using GC-MS and CFPP tester according to the theories of crystallization. Using the method of multivariate linear regression to analyze the correlation between chemical composition and CFPP, the prediction model of CFPP which has a very significant linear correlation and is based on chemical composition is built. The study shows that biodiesel is mainly fatty acid methyl ester (FAME) that is composed of 14-24 even number carbon atoms (C_14:0~C_24:0 , C_16:1~C_22:1, C_18:2~C_20:2 and C_18:3). The CFPP increases linearly with the increase of the content of SFAME and the longer the carbon chains are, the greater the increase will be; the CFPP decreases linearly with the increase of the content of UFAME. Among the 120 kinds of biodiesel we studied, the CFPP of Chinese tallow methyl ester (CTME) is the lowest (-14 °C) and the CFPP of peanut methyl ester (PNME) is the highest (13 °C).

• Periodical: Applied Mechanics and Materials (Volumes 448-453)
• Pages: 3050-3053
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.448-453.3050
• Online since: October 2013
• Authors: Yong Bin Lai*, Ling Ling Cai, Yin Nan Yuan, Xiu Chen, Xin Qiao, Lei Chen
• Keywords: Bio-Diesel, Cold Flow Property, Gas Chromatograph-Mass Spectrometer

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