Comparison of Raman and IR spectroscopy for quantitative analysis of gasoline/ethanol blends

Corsetti, S; McGloin, D; Kiefer, J

Comparison of Raman and IR spectroscopy for quantitative analysis of gasoline/ethanol blends

Corsetti, S McGloin, D

Kiefer, J

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Publisher:: ELSEVIER SCI LTD
Publication Type:: Journal Article
Citation:: Fuel, 2016, 166, pp. 488-494
Issue Date:: 2016-02-15

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Field	Value	Language
dc.contributor.author	Corsetti, S
dc.contributor.author	McGloin, D https://orcid.org/0000-0002-0075-4481
dc.contributor.author	Kiefer, J
dc.date.accessioned	2022-07-13T07:53:27Z
dc.date.available	2022-07-13T07:53:27Z
dc.date.issued	2016-02-15
dc.identifier.citation	Fuel, 2016, 166, pp. 488-494
dc.identifier.issn	0016-2361
dc.identifier.issn	1873-7153
dc.identifier.uri	http://hdl.handle.net/10453/158863
dc.description.abstract	Ethanol is commonly admixed to petrochemical gasoline, and its amount in the fuel blend can influence the performance of an engine. The ethanol content in a commercial fuel can vary. To ensure reliable engine operation, control strategies based on a measurement of the composition need to be developed. Two possible methods to determine the ethanol content in ethanol/gasoline blends are Raman and IR spectroscopy. We compare both techniques for quantitative measurements in systematically varied blends of ethanol and a gasoline surrogate. For each method, two different approaches for data evaluation are tested and compared: Firstly, the calibration of the intensity ratio of characteristic peaks as function of composition; secondly, a principal component regression (PCR). Both methods are found to have comparable uncertainty. For the evaluation of the Raman spectra, the PCR method yielded better accuracy than the intensity ratio approach. In addition, a detailed investigation of the influence of noise in the signal is presented. When the full IR spectra were evaluated by PCR, even high noise levels did not reduce the measurement accuracy significantly.
dc.language	English
dc.publisher	ELSEVIER SCI LTD
dc.relation.ispartof	Fuel
dc.relation.isbasedon	10.1016/j.fuel.2015.11.018
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0306 Physical Chemistry (incl. Structural), 0904 Chemical Engineering, 0913 Mechanical Engineering
dc.subject.classification	Energy
dc.title	Comparison of Raman and IR spectroscopy for quantitative analysis of gasoline/ethanol blends
dc.type	Journal Article
utslib.citation.volume	166
utslib.for	0306 Physical Chemistry (incl. Structural)
utslib.for	0904 Chemical Engineering
utslib.for	0913 Mechanical Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2022-07-13T07:53:26Z
pubs.publication-status	Published
pubs.volume	166

Abstract:

Ethanol is commonly admixed to petrochemical gasoline, and its amount in the fuel blend can influence the performance of an engine. The ethanol content in a commercial fuel can vary. To ensure reliable engine operation, control strategies based on a measurement of the composition need to be developed. Two possible methods to determine the ethanol content in ethanol/gasoline blends are Raman and IR spectroscopy. We compare both techniques for quantitative measurements in systematically varied blends of ethanol and a gasoline surrogate. For each method, two different approaches for data evaluation are tested and compared: Firstly, the calibration of the intensity ratio of characteristic peaks as function of composition; secondly, a principal component regression (PCR). Both methods are found to have comparable uncertainty. For the evaluation of the Raman spectra, the PCR method yielded better accuracy than the intensity ratio approach. In addition, a detailed investigation of the influence of noise in the signal is presented. When the full IR spectra were evaluated by PCR, even high noise levels did not reduce the measurement accuracy significantly.

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http://hdl.handle.net/10453/158863