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Prediction of the PIONA and oxygenate composition of unconventional fuels with the Pseudo-Component Property Estimation (PCPE) method. Application to an Automotive Shredder Residues-derived gasoline.

S. Tipler, A. Parente, A. Coussement, F. Contino, Steffen Symoens UGent, Marko Dokic UGent and Kevin Van Geem UGent (2018) SAE International Journal of Fuels and Lubricants.
abstract
To check if an unconventional fuel can be burned in an engine, monitoring the stability in terms of composition is mandatory. When the composition of a conventional fuel cannot be measured for practical reason, it can be approximated using the API (American Petroleum Institute) relations (Riazi-Daubert) linking the hydrocarbon group fractions with well-chosen properties. These relations cover only the paraffin (coupling iso and normal), naphthene and aromatic (PNA) groups as they were developed for conventional fuels presenting neglected amounts of olefins and oxygenates. Olefins and oxygenates can be present in unconventional fuels. This paper presents a methodology applicable to any unconventional fuel to build a model to estimate the n-paraffin, iso- paraffin, olefin, naphthene, aromatic and oxygenate (PIONAOx) composition. The current model was demonstrated for an automotive shredder residues (ASR)-derived gasoline-like fuel (GLF). The model was trained using real fractions measured with a comprehensive two-dimensional gas chromatography coupled with flame ionization detector (GC × GC-FID) technique. The lowest cumulated absolute error comparing with the confidence interval of the measured fractions was evaluated to be 12.4%. The model was tested for one fuel composition only, therefore, the error of the calculated fractions will be investigated with other fuels in future work.
Please use this url to cite or link to this publication:
author
year
type
journalArticle
publication status
published
journal title
SAE International Journal of Fuels and Lubricants
DOI
doi:10.4271/2018-01-0905
language
English
UGent publication?
yes
classification
U
id
8561794
handle
http://hdl.handle.net/1854/LU-8561794
date created
2018-05-15 08:34:28
date last changed
2018-05-15 08:34:41
@article{8561794,
  abstract     = {To check if an unconventional fuel can be burned in
an engine, monitoring the stability in terms of composition
is mandatory. When the composition of a
conventional fuel cannot be measured for practical reason,
it can be approximated using the API (American Petroleum
Institute) relations (Riazi-Daubert) linking the hydrocarbon
group fractions with well-chosen properties. These relations
cover only the paraffin (coupling iso and normal), naphthene
and aromatic (PNA) groups as they were developed for
conventional fuels presenting neglected amounts of olefins
and oxygenates. Olefins and oxygenates can be present in
unconventional fuels. This paper presents a methodology
applicable to any unconventional fuel to build a model to
estimate the n-paraffin, iso- paraffin, olefin, naphthene,
aromatic and oxygenate (PIONAOx) composition. The
current model was demonstrated for an automotive shredder
residues (ASR)-derived gasoline-like fuel (GLF). The model
was trained using real fractions measured with a comprehensive
two-dimensional gas chromatography coupled with
flame ionization detector (GC~{\texttimes}~GC-FID) technique. The
lowest cumulated absolute error comparing with the confidence
interval of the measured fractions was evaluated to be
12.4\%. The model was tested for one fuel composition only,
therefore, the error of the calculated fractions will be investigated
with other fuels in future work.
},
  author       = {Tipler, S.  and Parente, A.  and Coussement, A.  and Contino, F. and Symoens, Steffen and Dokic, Marko and Van Geem, Kevin},
  journal      = {SAE International Journal of Fuels and Lubricants},
  language     = {eng},
  title        = {Prediction of the PIONA and oxygenate composition of unconventional fuels with the Pseudo-Component Property Estimation (PCPE) method. Application to an Automotive Shredder Residues-derived gasoline.},
  url          = {http://dx.doi.org/doi:10.4271/2018-01-0905},
  year         = {2018},
}

Chicago
Tipler, S. , A. Parente, A. Coussement, F. Contino, Steffen Symoens, Marko Dokic, and Kevin Van Geem. 2018. “Prediction of the PIONA and Oxygenate Composition of Unconventional Fuels with the Pseudo-Component Property Estimation (PCPE) Method. Application to an Automotive Shredder Residues-derived Gasoline.” SAE International Journal of Fuels and Lubricants.
APA
Tipler, S., Parente, A., Coussement, A., Contino, F., Symoens, S., Dokic, M., & Van Geem, K. (2018). Prediction of the PIONA and oxygenate composition of unconventional fuels with the Pseudo-Component Property Estimation (PCPE) method. Application to an Automotive Shredder Residues-derived gasoline. SAE International Journal of Fuels and Lubricants.
Vancouver
1.
Tipler S, Parente A, Coussement A, Contino F, Symoens S, Dokic M, et al. Prediction of the PIONA and oxygenate composition of unconventional fuels with the Pseudo-Component Property Estimation (PCPE) method. Application to an Automotive Shredder Residues-derived gasoline. SAE International Journal of Fuels and Lubricants. 2018;
MLA
Tipler, S. , A. Parente, A. Coussement, et al. “Prediction of the PIONA and Oxygenate Composition of Unconventional Fuels with the Pseudo-Component Property Estimation (PCPE) Method. Application to an Automotive Shredder Residues-derived Gasoline.” SAE International Journal of Fuels and Lubricants (2018): n. pag. Print.