1Department of Petroleum and Gas Refining Engineering, College of Petroleum Processes Engineering, Tikrit University, Iraq
2Slah Al-Deen, General Directorate of Education, Iraq
3Department of Biomedical, Biological & Chemical Engineering, University of Missouri, Columbia, 65211, United States
4 Ministry of Oil, Baghdad, Iraq
5 North Refineries Company, Baji Refineries, Ministry of Oil, Iraq
6 Oil Products Distribution Company, Salahaddin Branch Ministry of Oil, Iraq
BibTex Citation Data :
@article{IJRED52044, author = {Yousif Issa and Khaleel Hamad and Rafi Algawi and Jasim Humadi and Sara Al-Salihi and Mustafa Ahmed and Ahmed Hassan and Abdul-Kareem Abd Jasim}, title = {Removal efficiency and reaction kinetics of phenolic compounds in refinery wastewater by nano catalytic wet oxidation}, journal = {International Journal of Renewable Energy Development}, volume = {12}, number = {3}, year = {2023}, keywords = {Nano-catalyst; manganese oxide/ iron oxide; phenol; oxidation process; optimization}, abstract = { A novel nano-catalyst based on iron oxide (MnO 2 /Fe 2 O 3 ) was developed to promote wet oxidation of phenol. MnO 2 was doped in Fe 2 O 3 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 (MnO 2 /Fe 2 O 3 ) 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, 70 o C reaction temperature, and 764 ppm initial concentration of phenol over the prepared 5% MnO 2 /Fe 2 O 3 . Running of wet oxidation of phenol under the optimal operating conditions resulted in 98% removal of phenol from refinery wastewater. }, pages = {508--519} doi = {10.14710/ijred.2023.52044}, url = {https://ejournal.undip.ac.id/index.php/ijred/article/view/52044} }
Refworks Citation Data :
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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