authors |
Boros, L; Batista, MLS; Vaz, RV; Figueiredo, BR; Fernandes, VFS; Costa, MC; Krahonbuhl, MA; Meirelles, AJA; Coutinho, JAP |
nationality |
International |
journal |
ENERGY & FUELS |
keywords |
LOCAL COMPOSITION MODELS; LOW-TEMPERATURE PROPERTIES; SOLID-LIQUID EQUILIBRIUM; WAX FORMATION; HIGH-PRESSURE; DIESEL FUELS; PREDICTIVE UNIQUAC; LCVM MODEL; BLENDS; CLOUD |
abstract |
In spite of their interest to understand the low temperature behavior of biodiesel, data on the crystal lization behaviour of fatty acid esters mixtures are scarce. To overcome this limitation, the melting points of seven binary mixtures of saturated and unsaturated fatty acid ethyl esters with ethyl stearate were measured by differential scanning calorimetry (DSC) and are here reported. The Predictive UNIQUAC model, developed for the prediction of cloud points of diesels and previously applied to fatty acid methyl esters, is shown to produce in excellent prediction of the experiemental data measured in this work, It is shown that, alternatively, a simple ideal solution is able to describe the inciting points with identical accuracy to the Predictive UNIQUAC model and may prove to be able to describe cloud points of real biodiesel |
publisher |
AMER CHEMICAL SOC |
issn |
0887-0624 |
year published |
2009 |
volume |
23 |
beginning page |
4625 |
ending page |
4629 |
digital object identifier (doi) |
10.1021/ef900366z |
web of science category |
Energy & Fuels; Engineering, Chemical |
subject category |
Energy & Fuels; Engineering |
unique article identifier |
WOS:000270671500053
|
link |
http://pubs.acs.org/doi/abs/10.1021/ef900366z
|
ciceco authors
impact metrics
journal analysis (jcr 2019):
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journal impact factor |
3.421 |
5 year journal impact factor |
3.715 |
category normalized journal impact factor percentile |
58.362 |
dimensions (citation analysis):
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altmetrics (social interaction):
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