Parametric Screening Analysis for the Oxidative Desulfurization of Diesel Oil
This research utilized a real raw diesel oil to be subjected in an innovative desulfurization technique. The novelty of this study is in the use of screening analysis in the ultrasonication enhancement of sulfur oxidation in actual fuel. This addresses the research gap in literature that have yet to...
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AIDIC Servizi S.r.l.
2021
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oai:doaj.org-article:41cbd801a7184aecaee9225237d482112021-11-15T21:49:04ZParametric Screening Analysis for the Oxidative Desulfurization of Diesel Oil10.3303/CET21880152283-9216https://doaj.org/article/41cbd801a7184aecaee9225237d482112021-11-01T00:00:00Zhttps://www.cetjournal.it/index.php/cet/article/view/11808https://doaj.org/toc/2283-9216This research utilized a real raw diesel oil to be subjected in an innovative desulfurization technique. The novelty of this study is in the use of screening analysis in the ultrasonication enhancement of sulfur oxidation in actual fuel. This addresses the research gap in literature that have yet to compare and completely analyze all factors in the ultrasound-assisted oxidative desulfurization (UAOD) method. Specifically, the effects of ultrasonication via amplification and irradiation time, material usage of tetraoctylammonium bromide, hydrogen peroxide, polyoxometalate catalyst and the process parameters of fuel to oxidant molar ratio and temperature were examined. A definitive screening design (DSD) using the JMP 11.0 was utilized for a statistical screening analysis to determine the essential and non-essential parameters in the UAOD. Upon the oxidation of sulfur compounds in diesel oil, results suggested that the enhancement technique via ultrasonication, polyoxometalate catalyst and temperature were the only significant factors based on the p-value < 0.05. The aforementioned factors are essential due to being able to instigate an oxidation reaction of sulfurs into its sulfone forms. Based on the generated DSD experimental runs, sulfur conversion can range from 36.41 % to 92.69 %.Angelo Earvin Sy ChoiSusan A. RocesNathaniel P. Dugos Meng-Wei WanAIDIC Servizi S.r.l.articleChemical engineeringTP155-156Computer engineering. Computer hardwareTK7885-7895ENChemical Engineering Transactions, Vol 88 (2021) |
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Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895 |
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Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895 Angelo Earvin Sy Choi Susan A. Roces Nathaniel P. Dugos Meng-Wei Wan Parametric Screening Analysis for the Oxidative Desulfurization of Diesel Oil |
description |
This research utilized a real raw diesel oil to be subjected in an innovative desulfurization technique. The novelty of this study is in the use of screening analysis in the ultrasonication enhancement of sulfur oxidation in actual fuel. This addresses the research gap in literature that have yet to compare and completely analyze all factors in the ultrasound-assisted oxidative desulfurization (UAOD) method. Specifically, the effects of ultrasonication via amplification and irradiation time, material usage of tetraoctylammonium bromide, hydrogen peroxide, polyoxometalate catalyst and the process parameters of fuel to oxidant molar ratio and temperature were examined. A definitive screening design (DSD) using the JMP 11.0 was utilized for a statistical screening analysis to determine the essential and non-essential parameters in the UAOD. Upon the oxidation of sulfur compounds in diesel oil, results suggested that the enhancement technique via ultrasonication, polyoxometalate catalyst and temperature were the only significant factors based on the p-value < 0.05. The aforementioned factors are essential due to being able to instigate an oxidation reaction of sulfurs into its sulfone forms. Based on the generated DSD experimental runs, sulfur conversion can range from 36.41 % to 92.69 %. |
format |
article |
author |
Angelo Earvin Sy Choi Susan A. Roces Nathaniel P. Dugos Meng-Wei Wan |
author_facet |
Angelo Earvin Sy Choi Susan A. Roces Nathaniel P. Dugos Meng-Wei Wan |
author_sort |
Angelo Earvin Sy Choi |
title |
Parametric Screening Analysis for the Oxidative Desulfurization of Diesel Oil |
title_short |
Parametric Screening Analysis for the Oxidative Desulfurization of Diesel Oil |
title_full |
Parametric Screening Analysis for the Oxidative Desulfurization of Diesel Oil |
title_fullStr |
Parametric Screening Analysis for the Oxidative Desulfurization of Diesel Oil |
title_full_unstemmed |
Parametric Screening Analysis for the Oxidative Desulfurization of Diesel Oil |
title_sort |
parametric screening analysis for the oxidative desulfurization of diesel oil |
publisher |
AIDIC Servizi S.r.l. |
publishDate |
2021 |
url |
https://doaj.org/article/41cbd801a7184aecaee9225237d48211 |
work_keys_str_mv |
AT angeloearvinsychoi parametricscreeninganalysisfortheoxidativedesulfurizationofdieseloil AT susanaroces parametricscreeninganalysisfortheoxidativedesulfurizationofdieseloil AT nathanielpdugos parametricscreeninganalysisfortheoxidativedesulfurizationofdieseloil AT mengweiwan parametricscreeninganalysisfortheoxidativedesulfurizationofdieseloil |
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