Literature DB >> 33487664

Laser-Driven Calorimetry and Chemometric Quantification of Standard Reference Material Diesel/Biodiesel Fuel Blends.

Werickson Fortunato de Carvalho Rocha1, Cary Presser2, Shannon Bernier3, Ashot Nazarian4, David A Sheen2.   

Abstract

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® (SRM®) 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.

Entities:  

Keywords:  Chemometric analysis; chemometric quantification; diesel fuel blends; laser-driven calorimetry; multivariate calibration methods; standard reference materials

Year:  2020        PMID: 33487664      PMCID: PMC7818850          DOI: 10.1016/j.fuel.2020.118720

Source DB:  PubMed          Journal:  Fuel (Lond)        ISSN: 0016-2361            Impact factor:   6.609


  10 in total

1.  Gasoline classification using near infrared (NIR) spectroscopy data: comparison of multivariate techniques.

Authors:  Roman M Balabin; Ravilya Z Safieva; Ekaterina I Lomakina
Journal:  Anal Chim Acta       Date:  2010-06-01       Impact factor: 6.558

2.  Application of near infrared spectroscopy and multivariate control charts for monitoring biodiesel blends.

Authors:  Ingrid Komorizono de Oliveira; Wérickson F de Carvalho Rocha; Ronei J Poppi
Journal:  Anal Chim Acta       Date:  2008-11-12       Impact factor: 6.558

3.  Classification of Brazilian and foreign gasolines adulterated with alcohol using infrared spectroscopy.

Authors:  Neirivaldo C da Silva; Maria Fernanda Pimentel; Ricardo S Honorato; Marcio Talhavini; Adriano O Maldaner; Fernanda A Honorato
Journal:  Forensic Sci Int       Date:  2015-05-19       Impact factor: 2.395

4.  Biodiesel content determination in diesel fuel blends using near infrared (NIR) spectroscopy and support vector machines (SVM).

Authors:  Julio Cesar L Alves; Ronei J Poppi
Journal:  Talanta       Date:  2012-11-23       Impact factor: 6.057

5.  Quantification of animal fat biodiesel in soybean biodiesel and B20 diesel blends using near infrared spectroscopy and synergy interval support vector regression.

Authors:  Paulo Roberto Filgueiras; Júlio Cesar L Alves; Ronei Jesus Poppi
Journal:  Talanta       Date:  2013-11-28       Impact factor: 6.057

6.  Incorporation of support vector machines in the LIBS toolbox for sensitive and robust classification amidst unexpected sample and system variability.

Authors:  Narahara Chari Dingari; Ishan Barman; Ashwin Kumar Myakalwar; Surya P Tewari; Manoj Kumar Gundawar
Journal:  Anal Chem       Date:  2012-03-02       Impact factor: 6.986

7.  Determination of vegetable oils and fats adulterants in diesel oil by high performance liquid chromatography and multivariate methods.

Authors:  Luiz Filipe Paiva Brandão; Jez Willian Batista Braga; Paulo Anselmo Ziani Suarez
Journal:  J Chromatogr A       Date:  2011-12-30       Impact factor: 4.759

8.  Biodiesel classification by base stock type (vegetable oil) using near infrared spectroscopy data.

Authors:  Roman M Balabin; Ravilya Z Safieva
Journal:  Anal Chim Acta       Date:  2011-01-26       Impact factor: 6.558

9.  Laser-Driven Calorimetry Measurements of Petroleum and Biodiesel Fuels.

Authors:  Cary Presser; Ashot Nazarian; Amit Millo
Journal:  Fuel (Lond)       Date:  2017-11-27       Impact factor: 6.609

10.  Laser-Driven Calorimetry of Single-Component Liquid Hydrocarbons.

Authors:  Cary Presser; Ashot Nazarian
Journal:  Energy Fuels       Date:  2017-06-30       Impact factor: 3.605

  10 in total

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