Calibration Method for the Determination of the FAME and HVO Contents in Fossil Diesel Blends Using NIR Spectroscopy
Wikberg, Elena; Heikkilä, Sonja; Sirviö, Katriina; Välisuo, Petri; Niemi, Seppo; Niemi, Antti (2021-05-07)
Wikberg, Elena
Heikkilä, Sonja
Sirviö, Katriina
Välisuo, Petri
Niemi, Seppo
Niemi, Antti
MPDI
07.05.2021
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2021051129512
https://urn.fi/URN:NBN:fi-fe2021051129512
Kuvaus
vertaisarvioitu
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
This study was implemented within the Hercules-2 project. This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 634135.
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
This study was implemented within the Hercules-2 project. This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 634135.
Tiivistelmä
The European diesel fuel standard, EN590, allows a 7% (V/V) biodiesel (FAME) addition to automotive diesel fuel. The allowed addition of renewable diesel (HVO) to fossil diesel is not defined, as long as the properties of the fuel blend still meet the requirements of the standard. However, it is important to analyze the biofuels’ content in diesel fuel blends. In this article, a development procedure of a calibration method for quantification of the HVO and FAME contents in fossil diesel blends using near-infrared (NIR) spectroscopy is presented. The analytical range of quantification of biodiesel content is from 0 to 10% (V/V) and of renewable diesel content from 0 to 20% (V/V). The partial least squares (PLS) regression method for multivariable data analysis and construction of the calibration models were used to create the calibration method. The constructed PLS models obtained prediction results for all diesel fuel blends with root mean square error of prediction (RMSEP) values of 2.66% (V/V) for the HVO content quantification and 0.18% (V/V) for quantification of the FAME content. This article concludes that the calibration method is acceptable for laboratory applications in practice.
Kokoelmat
- Artikkelit [2999]