Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/7316
Title: A Review on Prediction of Properties of Biodiesel and Blends of Biodiesel
Authors: Saxena, Parag
Jawale, Sayali
Joshipura, Milind
Keywords: Biodiesel
Prediction Models
Blends of Biodiesel
Thermophysical
Chemical Faculty Paper
Faculty Paper
ITFCH020
ITFCH011
Issue Date: 6-Dec-2012
Publisher: Science Direct
Citation: 3rd International Conference on Current Trends in Technology, NUiCONE - 2012, Institute of Technology, Nirma University, December 6 – 8, 2012
Series/Report no.: ITFCH020-4;
Abstract: The continuous increasing demand for energy and the decreasi ng petroleum resources has led to the search for alternative fuel which is renewable and sustainable. The quality and efficiency of Biodiesel fuel was found to be more significant than petro diesel. For predicting the properties of Biodiesel, various models were developed using various feed oils and blends, the quality of Biodiesel depends on the type of feed oils. The %ARD values were proposed, which vary with composition of feed oils for a given model in comparison between predicted and experimental data. There is a huge scope in the development of accurate models to predict the properties of Biodiesel and more importantly their blends as they are.
URI: http://hdl.handle.net/123456789/7316
Appears in Collections:Faculty Papers, Chemical

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