Vibrational Spectroscopy and Thermophysical Properties of Ultralow Sulfur Diesel—Alternative Fuel Binary Blends

Petrucci, Thiago; Michaelian, K.; Gieleciak, Rafał; Shen, Jun; Zhou, Jialiang; Gu, Chen; Neill, W. Stuart; Baesso, Mauro Luciano; Malacarne, L. C.; Astrath, N. G. C.

doi:10.1021/acs.energyfuels.7b02847

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…It is noticeable that the bands at 1,652 and 1,743 cm −1 increase with increasing concentration of biodiesel, whereas the other remaining bands only show slight asymmetric changes of their shapes. Besides, it is obviously that C─H stretching region vary significantly at 2,800–3,000 cm −1 , but these increase does not present a linear behavior because this region is comprised several component bands and that the location of wavenumbers of the individual aliphatic C─H regions are not constant: in most case, the frequencies vary monotonically between their values for biodiesel and diesel as the changes of diesel/biodiesel ratio …”

Section: Resultsmentioning

confidence: 69%

Raman spectroscopy for the discrimination and quantification of fuel blends

Liu

Luo

Shi

et al. 2019

J Raman Spectroscopy

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Biodiesel is an alternative energy source to replace fossil fuels and reduce the environmental pollution. Adding biodiesel in fossil diesel can increase the oxygen content (from fatty acid) and promote fuel to be burned more quickly and thoroughly. However, the biodiesel content criterion of different countries was diverse from each other. In this study, Raman spectroscopy was used as a tool in classifying fuel blends and quantifying biodiesel contents. For classifying the fuel blends, principal component analysis (PCA) method was employed, where 87.22% of spectral variation was characterized by the first two components PCA scores shows a clear discrimination between the pure fuels and mixture fuels. Meanwhile, for identifying and quantifying the blends of diesel and biodiesel, Raman spectroscopy analysis based on partial least squares (PLS) regression was conducted. Biodiesel mainly present three characteristic Raman regions corresponding to the spectroscopy of diesel. The C─H Raman region presents the better quantitative capacity than the C═C and C═O spectral regions. And the PLS regression built from C─H Raman spectral region in quantifying biodiesel contents presents a higher correlation coefficient and lower root mean square error for prediction. Furthermore, employing only C─H Raman region coupled with PLS regression for predicting concentration of biodiesel can reduce an order of magnitude of root mean square error compared with using three characteristic Raman spectral regions together. Our result show that Raman spectroscopy combined with PCA and PLS can identify fuels and biofuels for discrimination and quantitation. KEYWORDS diesel and biodiesel, partial least squares regression, principal component analysis, quantitative analysis, Raman spectroscopy

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Section: Resultsmentioning

confidence: 69%

Raman spectroscopy for the discrimination and quantification of fuel blends

Liu

Luo

Shi

et al. 2019

J Raman Spectroscopy

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Thermal-wave resonant cavity signal processing

Shen

Zhou

et al. 2019

Review of Scientific Instruments

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The thermal-wave resonant cavity (TWRC) technique has been used for thermal diffusivity measurements by many researchers. This study aims to reduce the uncertainty associated with TWRC signal processing (curve fitting) by means of numerical simulation and experimental verification. Simulations show that the plot of signal amplitude versus cavity length can be fitted to a simplified model reported previously when the initial fitting position is at least twice the thermal-wave diffusion length (2 μg), and that the uncertainty caused by different end positions is negligible in the range of 6–10 μg. Upon consideration of the simulation results, signal-to-noise ratio, and clearly defined amplitude curve shape, fitting ranges of about 2.2–8.0 μg and 2.2–8.7 μg were chosen for the experimental data. Thermal diffusivity values (1.438 ± 0.001) × 10−7 and (1.436 ± 0.001) × 10−7 m2 s−1, respectively, were obtained for distilled water, in excellent agreement with the accepted literature value. The ratio of standard deviation to the mean value is smaller than 0.07%, one order of magnitude lower than typical results reported in the literature. Similar simulation results were obtained for air and methanol as intra-cavity samples.

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Photothermal characterization of biodiesel and petroleum diesel fuels—A review and perspective

Shen

Michaelian

Gieleciak

et al. 2020

Journal of Applied Physics

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Alternative fuels hold considerable promise as substitutes for petroleum diesel fuel. As such, biodiesel is a promising renewable fuel that has been developed and tested by a number of research groups. Quality control of this transportation fuel is of great significance to its commercialization. Conventional chromatographic and spectroscopic analytical methods are most commonly used for biodiesel characterization, in some cases yielding information detail beyond that needed for the determination of biodiesel quality. By contrast, less common methods, such as photothermal techniques, are well suited to characterize a wide range of transportation fuels. The complexities of photothermal and chemical analytical techniques are roughly similar, as are the costs. Photothermal methods are based on spectroscopic and thermophysical properties of the sample, an advantage with respect to ordinary chromatography and spectroscopy techniques. Furthermore, some photothermal techniques can be adapted for remote signal detection, which can be used for in situ analysis in fuel production for inline biodiesel quality inspection and control. Therefore, an overview and outlook of the photothermal characterization is of considerable interest. In this paper, the applications of photothermal techniques in the characterization of biodiesel, petroleum diesel fuels, and their blends are reviewed. The review includes thermophysical properties and correlations for fuels, determination of blend levels, and biodiesel stability investigations. After the review, discussion and perspective are presented for future improvement of photothermal characterization and industrial applications.

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Vibrational Spectroscopy and Thermophysical Properties of Ultralow Sulfur Diesel—Alternative Fuel Binary Blends

Cited by 3 publications

References 15 publications

Raman spectroscopy for the discrimination and quantification of fuel blends

Raman spectroscopy for the discrimination and quantification of fuel blends

Thermal-wave resonant cavity signal processing

Photothermal characterization of biodiesel and petroleum diesel fuels—A review and perspective

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