期刊论文详细信息
FUEL 卷:281
Laser-driven calorimetry and chemometric quantification of standard reference material diesel/biodiesel fuel blends
Article
de Carvalho Rocha, Werickson Fortunato1  Presser, Cary2  Bernier, Shannon2  Nazarian, Ashot2  Sheen, David A.2 
[1] Natl Inst Metrol Qual & Technol Inmetro, BR-25250020 Duque De Caxias, RJ, Brazil
[2] NIST, Mat Measurement Lab, Gaithersburg, MD 20899 USA
关键词: Chemometric analysis;    Chemometric quantification;    Diesel fuel blends;    Laser-driven calorimetry;    Multivariate calibration methods;    Standard reference materials;   
DOI  :  10.1016/j.fuel.2020.118720
来源: Elsevier
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【 摘 要 】

Requirements for blends of drop-in petroleum/bio-derived fuels with specific thermophysical and thermochemical properties highlights the need for chemometric models that can predict these properties. Multivariate calibration methods were evaluated using the measured thermograms (i.e., change in temperature with time) of 11 diesel/biodiesel fuel blends (including four repeated runs for each fuel blend). Two National Institute of Standards and Technology Standard Reference Material (R) (SRM (R)) pure fuels were blended by serial dilution to produce fuels having diesel/biodiesel volumetric fractions between (0 to 100) %. The fuels were evaluated for the prepared fuel-blend volume fraction and total specific energy release (heating value), using a laser-driven calorimetry technique, termed laser-driven thermal reactor'. The experimental apparatus consists of a copper sphere-shaped reactor (mounted at the center of a stainless-steel chamber) that is heated by a high-power continuous wave Nd:YAG laser. Prior to heating by the laser, liquid sample is injected onto a copper pan substrate that rests near the center of the reactor and is in contact with a fine-wire thermocouple. A second thermocouple is in contact with the sphere-reactor inner surface. The thermograms are then used to evaluate for the thermochemical characteristic of interest. Partial least squares (PLS) and support vector machine (SVM) models were constructed and evaluated for SRM-fuel-blend quantification, and determination of prepared fuel-blend volume fraction and heating value. Quantification of the fuel-blend thermograms by the SVM method was found to better correlate with the experimental results than PLS. The combination of laser-driven calorimetry and multivariate calibration methods has demonstrated the potential application of using thermograms for fuels quantification and analysis of fuel-blend properties.

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