Application of near infrared spectroscopy to predict the average droplet size and water content in biodiesel emulsions

Bampi, Marlene; Scheer, Agnes de Paula; Castilhos, Fernanda de

doi:10.1016/j.fuel.2013.05.092

Cited by 40 publications

(17 citation statements)

References 30 publications

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“…They are highly sensitive organic components, making their use in the agricultural and environmental sciences particularly appropriate [1][2][3]. Diesel is one of the main power sources of vehicles.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, near infrared spectroscopy (NIRS) has become an effective method for rapid and real-time analysis of fuel properties [4][5][6]. The objectives of this study were (1) to investigate the feasibility of using NIR spectroscopy to predict the diesel cetane; (2) to obtain the optimal preprocessing methods for the diesel cetane; (3) to achieve the best calibration models after the comparison of PLS and LS-SVM models; and (4) three inputs of Least Squares Support Vector Machine(LS-SVM) calibration method are compared for measurement accuracy of diesel cetane number, namely principal components (PCs), latent variables (LVs), and effective wavelengths (EWs).…”

Section: Introductionmentioning

confidence: 99%

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Measurement of Diesel Cetane Number Using Near Infrared Spectra and Multivariate Calibration

Zhan¹,

Jianguo²

2017

Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)

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Abstract.Near infrared spectroscopy (NIRS) was investigated for measurement of diesel cetane. Three types of pretreatments including standard normal variate (SNV), multiplicative scattering correction (MSC) and Savitzky-Golay smoothing combining first derivative were adopted to eliminate the system noises and external disturbances. Then, partial least squares (PLS) and least squares-support vector machine (LS-SVM) methods were implemented for calibration models. Simultaneously, the performance of least squares-support vector machine (LS-SVM) method was compared with three kinds of dimension reduction input, including principal components (PCs), latent variables (LVs), and effective wavelengths (EWs). The best predictions were obtained with LS-SVM-LVs model for diesel cetane number (R 2 Pre =0.557, RMSEP = 2.169 and residual prediction deviation (RPD) =1.61), which was deemed as good model predictions. It is recommended to adopt LS-SVM-LVs model technique for higher accuracy measurement of the selected diesel cetane number with NIR, in comparison with LS-SVM-PCs and LS-SVM-EWs model techniques.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Measurement of Diesel Cetane Number Using Near Infrared Spectra and Multivariate Calibration

Zhan¹,

Jianguo²

2017

Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)

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“…Few studies aim to develop techniques of detection of water content in biodiesel. Bampi et al (2013) determined experimentally the water content and average droplet size of emulsions prepared from industrial biodiesel using infrared spectroscopy. The maximum amount of allowed water content in biodiesel as specified in ASTM standard D6751 is 500 ppm (ASTM, 2003).…”

Section: Introductionmentioning

confidence: 99%

Removal of Water Content From Biodiesel and Diesel Fuel Using Hydrogel Adsorbents

Fregolente

Maciel

Oliveira

2015

Braz. J. Chem. Eng.

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-The removal of water content present in fuels such as biodiesel and diesel is quite important to adequate the fuel to standards for commercialization and to avoid corrosion of storage tanks and injection equipment in diesel engines. In this study, hydrophilic hydrogels were employed to remove the water content in biodiesel and diesel fuel samples. The results showed that the hydrogels were capable of decreasing the free water content and also the soluble water content present in the samples. The highest decrease of total water content in samples of biodiesel was 53.3% wt and for diesel samples the reduction of water content was 32.0%, starting with samples that had 2160 ppm and 240 ppm of water, respectively. The highest decrease of total water content (free and soluble water) for diesel samples was 80.4% wt, from a diesel sample initially containing 348 ppm of total water content.

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“…Many studies on the water content in liquid fuel have been reported over the years and most of these researches have investigated the performance and emissions of combustion engine systems [1][2][3][4][5]. However, few studies on the microscopic characteristics of water droplets in a liquid fuel have been reported [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…Bampi et al [8] used near-infrared spectroscopy to predict the droplet size and water content in a soybean and animal fat biodiesel emulsion. In their work, NIR spectroscopy was confirmed to be a good option to estimate the average droplet size and water content in water-biodiesel emulsions.…”

Section: Introductionmentioning

confidence: 99%

Hydrodynamic Effects on Spectroscopic Water Detection in Gasoline Pipe Flow

Kim

Lee

2014

Energies

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Abstract:The hydrodynamic effects on spectroscopic water detection were microscopically investigated in a gasoline pipe flow. The effects of the gasoline flow rate and the water content on the water droplet characteristics were investigated experimentally using a phase Doppler particle measurement system. The characteristics of spectral absorbance of water and gasoline were measured using a spectrophotometer to determine the optimal wavelength of the incident light for spectroscopic water detection. The effects of the droplet size on the light transmittance characteristics were calculated using the light extinction theory of Mie scattering on polydisperse particles and experimental results on the water droplet size in the gasoline flow. The measurement results of spectral absorbance showed that gasoline was almost transparent at 980 nm wavelength of light while water showed peak absorption at this wavelength, therefore, it was appropriate incident light for spectroscopic water detection. It was found that the flow conditions of the gasoline flow rate and the water content influenced the Sauter mean diameter and the volume concentration of water droplets, which influenced the light transmittance.

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Application of near infrared spectroscopy to predict the average droplet size and water content in biodiesel emulsions

Cited by 40 publications

References 30 publications

Measurement of Diesel Cetane Number Using Near Infrared Spectra and Multivariate Calibration

Measurement of Diesel Cetane Number Using Near Infrared Spectra and Multivariate Calibration

Removal of Water Content From Biodiesel and Diesel Fuel Using Hydrogel Adsorbents

Hydrodynamic Effects on Spectroscopic Water Detection in Gasoline Pipe Flow

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