Naushad Khan, G. K. V. Rami Reddy, Sandeep Kumar Thaligari, Vimal Chandra Srivastava, Raj Kumar Singh, Anuj Rawat, Paritosh Mohanty
{"title":"利用酸处理活性氧化铝同时进行脱硫和脱氮研究:多组分吸附系统","authors":"Naushad Khan, G. K. V. Rami Reddy, Sandeep Kumar Thaligari, Vimal Chandra Srivastava, Raj Kumar Singh, Anuj Rawat, Paritosh Mohanty","doi":"10.1002/cjce.25392","DOIUrl":null,"url":null,"abstract":"<p>In this study, sulphuric acid-treated activated alumina (AA) was used for sulphur and nitrogen removal from model fuel in a batch adsorption study. Dibenzothiophene (DBT), a sulphur compound, and quinoline, a nitrogen compound dissolved in isooctane, were taken as a model liquid fuel. Detailed characterization of the adsorbent, such as scanning electron microscopy (SEM), thermogravimetric analysis-differential thermal analysis (TGA-DTA), Fourier transform infrared spectroscopy (FTIR), Brunauer–Emmett–Teller (BET), and X-ray diffraction (XRD), was performed to understand the DBT and quinoline adsorption mechanism onto AA adsorbent. Sulphur and nitrogen removal efficiencies were found to be 64% and 91%, respectively. Mono-component adsorption isotherm was studied by using different models such as Langmuir, Freundlich, and Redlich-Peterson (R-P) isotherms. The R-P isotherm model well-predicted the individual equilibrium data for both nitrogen and sulphur from the liquid fuel. Binary-component adsorption studies were performed by mixing both DBT and quinoline in isooctane. Binary-equilibrium data were modelled by multi-component models such as modified Langmuir isotherm, non-modified Langmuir, extended Langmuir, extended Freundlich isotherm, Sheindorf-Rebuhn-Sheintuch (SRS), non-modified R-P model, and modified R-P model. The extended Freundlich (E-F) adsorption isotherm model was found to best fit the binary equilibrium system.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 1","pages":"385-395"},"PeriodicalIF":1.6000,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A simultaneous study on desulphurization and denitrogenation using acid-treated activated alumina: Multi-component adsorption systems\",\"authors\":\"Naushad Khan, G. K. V. Rami Reddy, Sandeep Kumar Thaligari, Vimal Chandra Srivastava, Raj Kumar Singh, Anuj Rawat, Paritosh Mohanty\",\"doi\":\"10.1002/cjce.25392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In this study, sulphuric acid-treated activated alumina (AA) was used for sulphur and nitrogen removal from model fuel in a batch adsorption study. Dibenzothiophene (DBT), a sulphur compound, and quinoline, a nitrogen compound dissolved in isooctane, were taken as a model liquid fuel. Detailed characterization of the adsorbent, such as scanning electron microscopy (SEM), thermogravimetric analysis-differential thermal analysis (TGA-DTA), Fourier transform infrared spectroscopy (FTIR), Brunauer–Emmett–Teller (BET), and X-ray diffraction (XRD), was performed to understand the DBT and quinoline adsorption mechanism onto AA adsorbent. Sulphur and nitrogen removal efficiencies were found to be 64% and 91%, respectively. Mono-component adsorption isotherm was studied by using different models such as Langmuir, Freundlich, and Redlich-Peterson (R-P) isotherms. The R-P isotherm model well-predicted the individual equilibrium data for both nitrogen and sulphur from the liquid fuel. Binary-component adsorption studies were performed by mixing both DBT and quinoline in isooctane. Binary-equilibrium data were modelled by multi-component models such as modified Langmuir isotherm, non-modified Langmuir, extended Langmuir, extended Freundlich isotherm, Sheindorf-Rebuhn-Sheintuch (SRS), non-modified R-P model, and modified R-P model. 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A simultaneous study on desulphurization and denitrogenation using acid-treated activated alumina: Multi-component adsorption systems
In this study, sulphuric acid-treated activated alumina (AA) was used for sulphur and nitrogen removal from model fuel in a batch adsorption study. Dibenzothiophene (DBT), a sulphur compound, and quinoline, a nitrogen compound dissolved in isooctane, were taken as a model liquid fuel. Detailed characterization of the adsorbent, such as scanning electron microscopy (SEM), thermogravimetric analysis-differential thermal analysis (TGA-DTA), Fourier transform infrared spectroscopy (FTIR), Brunauer–Emmett–Teller (BET), and X-ray diffraction (XRD), was performed to understand the DBT and quinoline adsorption mechanism onto AA adsorbent. Sulphur and nitrogen removal efficiencies were found to be 64% and 91%, respectively. Mono-component adsorption isotherm was studied by using different models such as Langmuir, Freundlich, and Redlich-Peterson (R-P) isotherms. The R-P isotherm model well-predicted the individual equilibrium data for both nitrogen and sulphur from the liquid fuel. Binary-component adsorption studies were performed by mixing both DBT and quinoline in isooctane. Binary-equilibrium data were modelled by multi-component models such as modified Langmuir isotherm, non-modified Langmuir, extended Langmuir, extended Freundlich isotherm, Sheindorf-Rebuhn-Sheintuch (SRS), non-modified R-P model, and modified R-P model. The extended Freundlich (E-F) adsorption isotherm model was found to best fit the binary equilibrium system.
期刊介绍:
The Canadian Journal of Chemical Engineering (CJChE) publishes original research articles, new theoretical interpretation or experimental findings and critical reviews in the science or industrial practice of chemical and biochemical processes. Preference is given to papers having a clearly indicated scope and applicability in any of the following areas: Fluid mechanics, heat and mass transfer, multiphase flows, separations processes, thermodynamics, process systems engineering, reactors and reaction kinetics, catalysis, interfacial phenomena, electrochemical phenomena, bioengineering, minerals processing and natural products and environmental and energy engineering. Papers that merely describe or present a conventional or routine analysis of existing processes will not be considered.