Removal efficiency and reaction kinetics of phenolic compounds in refinery wastewater by nano catalytic wet oxidation

A novel nano-catalyst based on iron oxide (MnO2/Fe2O3) was developed to promote wet oxidation of phenol. MnO2 was doped in Fe2O3 matrix to prepare composite nano-catalyst with different doping percentage (0, 2 and 5%). The catalytic phenol oxidation was conducted under different reaction temperature...

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Main Authors: Yousif S. Issa, Khaleel I. Hamad, Rafi J. Algawi, Jasim Humadi, Sara Al-Salihi, Mustafa A. Ahmed, Ahmed A. Hassan, Abdul-Kareem Abd Jasim
Format: Article
Language:English
Published: Diponegoro University 2023-05-01
Series:International Journal of Renewable Energy Development
Subjects:
Online Access:https://ijred.cbiore.id/index.php/ijred/article/view/52044
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author Yousif S. Issa
Khaleel I. Hamad
Rafi J. Algawi
Jasim Humadi
Sara Al-Salihi
Mustafa A. Ahmed
Ahmed A. Hassan
Abdul-Kareem Abd Jasim
author_facet Yousif S. Issa
Khaleel I. Hamad
Rafi J. Algawi
Jasim Humadi
Sara Al-Salihi
Mustafa A. Ahmed
Ahmed A. Hassan
Abdul-Kareem Abd Jasim
author_sort Yousif S. Issa
collection DOAJ
description A novel nano-catalyst based on iron oxide (MnO2/Fe2O3) was developed to promote wet oxidation of phenol. MnO2 was doped in Fe2O3 matrix to prepare composite nano-catalyst with different doping percentage (0, 2 and 5%). The catalytic phenol oxidation was conducted under different reaction temperatures and residence times. To evaluate the optimal kinetic parameters aiming to maximize phenol removal under the optimal conditions for the catalytic wet phenol oxidation process, modeling was applied on the batch reactor using the novel synthesis nano-catalyst (MnO2/Fe2O3) and the model developed was fed with the experimental data. gPROMS package was used to model the process of phenol oxidation and to optimize the experimental data. The error predicted between the simulated and experimental data was less than 5%. The optimal operating conditions were 294 min residence time, 70oC reaction temperature, and 764 ppm initial concentration of phenol over the prepared 5% MnO2/Fe2O3. Running of wet oxidation of phenol under the optimal operating conditions resulted in 98% removal of phenol from refinery wastewater.
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spelling doaj.art-3ba104415b4e4c63b497c2ba8164dd2f2023-11-28T02:08:37ZengDiponegoro UniversityInternational Journal of Renewable Energy Development2252-49402023-05-0112350851910.14710/ijred.2023.5204421847Removal efficiency and reaction kinetics of phenolic compounds in refinery wastewater by nano catalytic wet oxidationYousif S. Issa0https://orcid.org/0000-0002-2485-2553Khaleel I. Hamad1https://orcid.org/0000-0002-9742-6125Rafi J. Algawi2https://orcid.org/0000-0002-9818-1692Jasim Humadi3https://orcid.org/0000-0002-7597-2635Sara Al-Salihi4https://orcid.org/0000-0003-0226-5320Mustafa A. Ahmed5https://orcid.org/0009-0002-3507-5435Ahmed A. Hassan6https://orcid.org/0009-0005-5919-6014Abdul-Kareem Abd Jasim7https://orcid.org/0009-0002-2157-7012Department of Petroleum and Gas Refining Engineering, College of Petroleum Processes Engineering, Tikrit University, IraqSlah Al-Deen, General Directorate of Education, IraqDepartment of Petroleum and Gas Refining Engineering, College of Petroleum Processes Engineering, Tikrit University, IraqDepartment of Petroleum and Gas Refining Engineering, College of Petroleum Processes Engineering, Tikrit University, IraqDepartment of Biomedical, Biological & Chemical Engineering, University of Missouri, Columbia, 65211, United StatesMinistry of Oil, Baghdad, IraqNorth Refineries Company, Baji Refineries, Ministry of Oil, IraqOil Products Distribution Company, Salahaddin Branch Ministry of Oil, IraqA novel nano-catalyst based on iron oxide (MnO2/Fe2O3) was developed to promote wet oxidation of phenol. MnO2 was doped in Fe2O3 matrix to prepare composite nano-catalyst with different doping percentage (0, 2 and 5%). The catalytic phenol oxidation was conducted under different reaction temperatures and residence times. To evaluate the optimal kinetic parameters aiming to maximize phenol removal under the optimal conditions for the catalytic wet phenol oxidation process, modeling was applied on the batch reactor using the novel synthesis nano-catalyst (MnO2/Fe2O3) and the model developed was fed with the experimental data. gPROMS package was used to model the process of phenol oxidation and to optimize the experimental data. The error predicted between the simulated and experimental data was less than 5%. The optimal operating conditions were 294 min residence time, 70oC reaction temperature, and 764 ppm initial concentration of phenol over the prepared 5% MnO2/Fe2O3. Running of wet oxidation of phenol under the optimal operating conditions resulted in 98% removal of phenol from refinery wastewater.https://ijred.cbiore.id/index.php/ijred/article/view/52044nano-catalystmanganese oxide/ iron oxidephenoloxidation processoptimization
spellingShingle Yousif S. Issa
Khaleel I. Hamad
Rafi J. Algawi
Jasim Humadi
Sara Al-Salihi
Mustafa A. Ahmed
Ahmed A. Hassan
Abdul-Kareem Abd Jasim
Removal efficiency and reaction kinetics of phenolic compounds in refinery wastewater by nano catalytic wet oxidation
International Journal of Renewable Energy Development
nano-catalyst
manganese oxide/ iron oxide
phenol
oxidation process
optimization
title Removal efficiency and reaction kinetics of phenolic compounds in refinery wastewater by nano catalytic wet oxidation
title_full Removal efficiency and reaction kinetics of phenolic compounds in refinery wastewater by nano catalytic wet oxidation
title_fullStr Removal efficiency and reaction kinetics of phenolic compounds in refinery wastewater by nano catalytic wet oxidation
title_full_unstemmed Removal efficiency and reaction kinetics of phenolic compounds in refinery wastewater by nano catalytic wet oxidation
title_short Removal efficiency and reaction kinetics of phenolic compounds in refinery wastewater by nano catalytic wet oxidation
title_sort removal efficiency and reaction kinetics of phenolic compounds in refinery wastewater by nano catalytic wet oxidation
topic nano-catalyst
manganese oxide/ iron oxide
phenol
oxidation process
optimization
url https://ijred.cbiore.id/index.php/ijred/article/view/52044
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