Mechanical-Chemical Electro-catalytic Degradation of Heavy Metals in Produced Water: Statistical Analysis and Process Optimization
DOI:
https://doi.org/10.22399/ijcesen.2255Keywords:
Crude oil, Produced water, Water treatment, Mechanical design optimizationAbstract
To treat produced water (PW), this work uses the mechanical design of the Digital Baffle Electro Photo Catalytic Batch Reactor (DBEPCB) method as a viable supernumerary. Box Behnken Design (BBD) of Response Surface Methodology (RSM) in Digital Baffle Oxidation Reactor studied the electro reactor design consisting of anode and cathode electrodes made of aluminum and iron correspondingly, with a mechanical mixer for mixing the PW with TiO2 concentration to maximize presentation with optimization design methods. A second-order obvious relation between the metal removal and important factors were shown by the high coefficient value (R2 = 0.967). The validity and dependability of the proposed technique were evaluated through additional statistical analysis. Founded on unresolved values, a predicted regression model was created, and it showed excellent agreement with experimental values. Based on important parameters, this model produced the best equation for the experiential model to prediction copper removal (CR). Rendering to the BBD, at pH 9, 300 rpm, 50 min of electrolysis, and 100 ppm of TiO2 concentration, the ratio of CR augmented to 98.4%. According to the study's assumptions, the electro-catalytic technology that has been enhanced may be a dependable way to alleviate the ecological effects of PW and support maintainable wastewater treatment approaches.
References
[1] Nassir, A., Fadhil, T., & Hassan, A. A. (2022). Heavy metal removal from produced water by chemical-mechanical treatment. Muthanna Journal of Engineering and Technology, (10). https://doi.org/10.52113/3/eng/mjet/2022-10-02/05-12
[2] Nsaif, R. D., Alturki, S. F., Suwaed, M. S., & Hassan, A. A. (2023). Lead removal from refinery wastewater by using photovoltaic electro Fenton oxidation. In AIP Conference Proceedings. AIP Publishing.
[3] Ibrahim, H. A., Hassan, A. A., Ali, A. H., & Kareem, H. M. (2023). Organic removal from refinery wastewater by using electro catalytic oxidation. In AIP Conference Proceedings. AIP Publishing.
[4] Rashid, A. H., Hassan, A. A., Hadi, R. T., & Naje, A. S. (2020). Treatment of oil content in oilfield produced water using chemically modified waste sawdust as biosorbent. Ecology, Environment and Conservation, 26(4), 1563–1571.
[5] Jafer, A. S., Al-Khateeb, R., Alobaid, B., Atiyah, A., & Hassan, A. A. (2023). Copper removal from produced water by photo Fenton oxidation. In AIP Conference Proceedings. AIP Publishing.
[6] Al-Zobai, K. M. M., & Hassan, A. A. (2022). Utilization of iron oxide nanoparticles (hematite) as adsorbent for removal of organic pollutants in refinery wastewater. In Materials Science Forum (pp. 91–100). Trans Tech Publications.
[7] El Kaim Billah, R., et al. (2023). A novel chitosan/nano-hydroxyapatite composite for the adsorptive removal of Cd(II) from aqueous solution. Polymers, 15(6). https://doi.org/10.3390/polym15061524
[8] Alakoul, K. A., Atiyah, A. S., Azeez, M. Z., & Hassan, A. A. (2021). Photovoltaic cell electro-oxidation for oil removal in oil field produced H₂O. IOP Conference Series: Materials Science and Engineering, 1090(1), 012072. https://doi.org/10.1088/1757-899X/1090/1/012072
[9] Alturki, S. F., Ghareeb, A. H., Hadi, R. T., & Hassan, A. A. (2021). Evaluation of using photovoltaic cell in the electro-Fenton oxidation for the removal of oil content in refinery wastewater. IOP Conference Series: Materials Science and Engineering, 1090(1), 012012. https://doi.org/10.1088/1757-899X/1090/1/012012
[10] Naeem, H. T., Hassan, A. A., & Al-Khateeb, R. T. (2018). Wastewater-(direct red dye) treatment-using solar Fenton process. Journal of Pharmaceutical Sciences and Research, 10(9), 2309–2313.
[11] Hassan, A. A., AlJaberi, F. Y., & Al-Khateeb, R. T. (2022). Batch and continuous photo-Fenton oxidation of reactive-red dye from wastewater. Journal of Ecological Engineering, 23(1), 14–23.
[12] Hassan, A. A., Naeem, H. T., & Hadi, R. T. (2019). A comparative study of chemical material additives on polyacrylamide to treatment of wastewater in refineries. IOP Conference Series: Materials Science and Engineering, 518(6), 062003. https://doi.org/10.1088/1757-899X/518/6/062003
[13] Atiyah, A. S., Al-Samawi, A. A. A., & Hassan, A. A. (2020). Photovoltaic cell electro-Fenton oxidation for treatment oily wastewater. AIP Conference Proceedings, 2235. https://doi.org/10.1063/5.0008937
[14] AlJaberi, F. Y., Abdulmajeed, B. A., Hassan, A. A., & Ghadban, M. L. (2020). Assessment of an electrocoagulation reactor for the removal of oil content and turbidity from real oily wastewater using response surface method. Recent Innovations in Chemical Engineering, 13(1), 55–71. https://doi.org/10.2174/2405520412666190830091842
[15] Nawaf, A. T., & Abdulmajeed, B. A. (2024). Design of oscillatory helical baffled reactor and dual functional mesoporous catalyst for oxidative desulfurization of real diesel fuel. Chemical Engineering Research and Design, 209, 193–209. https://doi.org/10.1016/j.cherd.2024.07.032
[16] Nawaf, A. T., & Abdulmajeed, B. A. (2024). A synthesis of a Fe₂O₃-supported composite for rapid oxidative desulfurization production of environmentally friendly fuel in an OBR. International Journal of Environmental Science and Technology. https://doi.org/10.1007/s13762-024-05920-1
[17] Ccd, D., & Elamin, K. M. A. (2021). Organic pollutants removal from olive mill wastewater using electrocoagulation process via central composite.
[18] Al-Zobai, K. M. M., Hassan, A. A., & Kariem, N. O. (2020). Removal of amoxicillin from polluted water using UV/TiO₂, UV/ZnO/TiO₂, and UV/ZnO. Solid State Technology, 63(3), 3567–3575.
[19] Hassan, A. A., & Al-Zobai, K. M. M. (2019). Chemical oxidation for oil separation from oilfield produced water under UV irradiation using titanium dioxide as a nano-photocatalyst by batch and continuous techniques. International Journal of Chemical Engineering, 2019. https://doi.org/10.1155/2019/9810728
[20] Cao, L., Li, Z., Xiang, S., Huang, Z., Ruan, R., & Liu, Y. (2019). Preparation and characteristics of bentonite–zeolite adsorbent and its application in swine wastewater. Bioresource Technology, 284, 448–455. https://doi.org/10.1016/j.biortech.2019.03.043
[21] Alamery, H. R. D., Hassan, A. A., & Rashid, A. H. (2023). Copper removal in simulated wastewater by solar Fenton oxidation. AIP Conference Proceedings, 2806(1). https://doi.org/10.1063/5.0167259
[22] Ahmed, I. H., Hassan, A. A., & Sultan, H. K. (2021). Study of electro-Fenton oxidation for the removal of oil content in refinery wastewater. IOP Conference Series: Materials Science and Engineering, 1090(1), 012005. https://doi.org/10.1088/1757-899X/1090/1/012005
[23] Alturki, S. F., Suwaed, M. S., Ghareeb, A., AlJaberi, F. Y., & Hassan, A. A. (2024). Statistical analysis and optimization of mechanical-chemical electro-Fenton for organic contaminant degradation in refinery wastewater. Journal of Engineering Research.
[24] Alamery, H. R. D., & Hassan, A. A. (2022). Effect of intensity of light and distance for decolonization in direct red wastewater by photo Fenton oxidation. ARPN Journal of Engineering and Applied Sciences, 17(1819–6608), 9.
[25] Jasim, M. A., & AlJaberi, F. Y. (2023). Treatment of oily wastewater by electrocoagulation technology: A general review (2018–2022). Journal of Electrochemical Science and Engineering, 13(2), 361–372. https://doi.org/10.5599/jese.1472
[26] Jasim, M. A., & AlJaberi, F. Y. (2023). Investigation of oil content removal performance in real oily wastewater treatment by electrocoagulation technology: RSM design approach. Results in Engineering, 18, 101082. https://doi.org/10.1016/j.rineng.2023.101082
[27] AlJaberi, F. Y., & Mohammed, W. T. (2018). The most practical treatment methods for wastewaters: A systematic review. Mesopotamia Environmental Journal, 5(1), 1–28. Retrieved from http://www.bumej.com
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