Statistical Reaction Analysis of Residue Desulfurization Based on Molecular Structures

Heavy oils contain many kinds of organic compounds which have complex structures. Thus, it is difficult to determine these characteristics to develop suitable catalysts. Recently, due to the development of Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS), the detailed composit...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yasuki Kansha, Shoma Kato, Koji Tsuji
Formato:	article
Lenguaje:	EN
Publicado:	AIDIC Servizi S.r.l. 2021
Materias:	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
Acceso en línea:	https://doaj.org/article/aa6328431c0f4ddbaebf2b16fe7b76e5
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:aa6328431c0f4ddbaebf2b16fe7b76e5
record_format	dspace
spelling	oai:doaj.org-article:aa6328431c0f4ddbaebf2b16fe7b76e52021-11-15T21:48:31ZStatistical Reaction Analysis of Residue Desulfurization Based on Molecular Structures10.3303/CET21880612283-9216https://doaj.org/article/aa6328431c0f4ddbaebf2b16fe7b76e52021-11-01T00:00:00Zhttps://www.cetjournal.it/index.php/cet/article/view/11854https://doaj.org/toc/2283-9216Heavy oils contain many kinds of organic compounds which have complex structures. Thus, it is difficult to determine these characteristics to develop suitable catalysts. Recently, due to the development of Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS), the detailed composition data of heavy oils can be obtained. In this research, the authors proposed a new method to analyse chemical reactions using the input/output composition data from FT-ICR-MS. In this method, representative chemical reactions were defined and assumed the series of reactions linearly. As a result, the conversion ratios of each chemical reaction can be simply obtained and statistically compared by molecular structures. The authors applied this method to a residue desulfurization in a petroleum refinery as a case study and compared the reaction ratios by molecular structures. From this analysis, the authors found that the molecular structure significantly affects the conversion ratio in desulfurization reaction and captured the characteristics of this reaction. Therefore, this analysis might be promising to analyse reactions for providing insights into catalysts and process design.Yasuki KanshaShoma KatoKoji TsujiAIDIC Servizi S.r.l.articleChemical engineeringTP155-156Computer engineering. Computer hardwareTK7885-7895ENChemical Engineering Transactions, Vol 88 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
spellingShingle	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895 Yasuki Kansha Shoma Kato Koji Tsuji Statistical Reaction Analysis of Residue Desulfurization Based on Molecular Structures
description	Heavy oils contain many kinds of organic compounds which have complex structures. Thus, it is difficult to determine these characteristics to develop suitable catalysts. Recently, due to the development of Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS), the detailed composition data of heavy oils can be obtained. In this research, the authors proposed a new method to analyse chemical reactions using the input/output composition data from FT-ICR-MS. In this method, representative chemical reactions were defined and assumed the series of reactions linearly. As a result, the conversion ratios of each chemical reaction can be simply obtained and statistically compared by molecular structures. The authors applied this method to a residue desulfurization in a petroleum refinery as a case study and compared the reaction ratios by molecular structures. From this analysis, the authors found that the molecular structure significantly affects the conversion ratio in desulfurization reaction and captured the characteristics of this reaction. Therefore, this analysis might be promising to analyse reactions for providing insights into catalysts and process design.
format	article
author	Yasuki Kansha Shoma Kato Koji Tsuji
author_facet	Yasuki Kansha Shoma Kato Koji Tsuji
author_sort	Yasuki Kansha
title	Statistical Reaction Analysis of Residue Desulfurization Based on Molecular Structures
title_short	Statistical Reaction Analysis of Residue Desulfurization Based on Molecular Structures
title_full	Statistical Reaction Analysis of Residue Desulfurization Based on Molecular Structures
title_fullStr	Statistical Reaction Analysis of Residue Desulfurization Based on Molecular Structures
title_full_unstemmed	Statistical Reaction Analysis of Residue Desulfurization Based on Molecular Structures
title_sort	statistical reaction analysis of residue desulfurization based on molecular structures
publisher	AIDIC Servizi S.r.l.
publishDate	2021
url	https://doaj.org/article/aa6328431c0f4ddbaebf2b16fe7b76e5
work_keys_str_mv	AT yasukikansha statisticalreactionanalysisofresiduedesulfurizationbasedonmolecularstructures AT shomakato statisticalreactionanalysisofresiduedesulfurizationbasedonmolecularstructures AT kojitsuji statisticalreactionanalysisofresiduedesulfurizationbasedonmolecularstructures
_version_	1718426804996276224

Statistical Reaction Analysis of Residue Desulfurization Based on Molecular Structures

Ejemplares similares