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Predicting the Concentration and Specific Gravity of Biodiesel-Diesel Blends Using Near-Infrared Spectroscopy

Author:
Coronado, M., Yuan, W., Wang, D., Dowell, F.E.
Source:
Applied engineering in agriculture 2009 v.25 no.2 pp. 217-221
ISSN:
0883-8542
Subject:
chemical concentration, palm oils, soybean oil, coconut oil, canola oil, near-infrared spectroscopy, diesel fuel, fatty acid esters, specific gravity, biodiesel, mixtures
Abstract:
Biodiesel made from different source materials usually have different physical and chemical properties and the concentration of biodiesel in biodiesel-diesel blends varies from pump to pump and from user to user; all these factors have significant effects on performance and efficiency of engines fueled with biodiesel. To address these challenges, regressions based on near-infrared spectroscopy were developed for relatively inexpensive and rapid on-line measurement of the concentration and specific gravity of biodiesel-diesel blends. Methyl esters of five different oils--soybean oil, canola oil, palm oil, waste cooling oil, and coconut oil--and two different brands of commercial-grade No. 2 on-highway diesel and one brand of off-road No. 2 diesel were used in the calibration and validation processes. The predicted concentration and specific gravity of the biodiesel-diesel blends were compared with the actual values. The maximum and average root-mean-square errors of prediction (RMSEP) of biodiesel concentration were 5.2% and 2.9%, respectively, from the biodiesel type-specific regression. For the general regression, the RMSEP were 3.2% and 0.002 for biodiesel concentration and specific gravity predictions, respectively.
Agid:
30386
Handle:
naldc:30386