Electrochemical treatment of petroleum refinery wastewater with three-dimensional multi-phase electrode

Liang, Yan; Ma, Hongwen; Wang, Bo; Wang, Yufei; Chen, Yashao

doi:10.1016/j.desal.2011.03.083

Cited by 143 publications

(51 citation statements)

References 20 publications

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“…Wastewater generated by petroleum industries is very complex, and includes several inorganic and organic components, such as emulsified oil, sulfides, ammonia, cyanides and especially phenol and phenolic derivatives [41]. Due to the nature of the pollutants included in petrochemical and oil refinery wastewater, its treatment is a challenging issue and several different physical-chemical, mechanical and even biological conventional treatment processes have been tested for its restoration in the past.…”

Section: Introductionmentioning

confidence: 99%

Process modeling and evaluation of petroleum refinery wastewater treatment through response surface methodology and artificial neural network in a photocatalytic reactor using poly ethyleneimine (PEI)/titania (TiO2) multilayer film on quartz tube

et al. 2014

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In this study, poly ethyleneimine (PEI)/Titania (TiO 2 ) multilayer film on quartz tubes have been successfully fabricated via a layer-by-layer (LbL) self-assembly method. Scanning electron microscopy (SEM) and Brunauer-Emmett-Teller (BET) surface area analysis were carried out for characterization of the layers on quartz tube. The SEM pictures showed that the film surface is smooth and uniform. The BET characterization verified the formation of multilayer thin film. The photocatalytic activity of the PEI/TiO 2 multilayer deposited on the quartz tubes was evaluated in the treatment of raw petroleum refinery wastewater (PRW) under UV light irradiation in three annular photocatalytic reactors. This study examined the impact of initial chemical oxygen demand (COD) concentration, H 2 O 2 concentration, pH and reaction time on the PRW treatment and the results were used to generate both a response surface methodology (RSM) model and an artificial neural network (ANN) model. Maximum COD removal (98 %) was achieved at the optimum conditions (initial COD concentration of 300 mg/l, hydrogen peroxide concentration of 8.8 mM, pH of 5 and reaction time of 120 min). A comparison between the model results and experimental data gave a high correlation coefficient (R ANN 2 = 0.9632, R RSM 2 = 0.943) and showed that two models were able to predict COD removal from PRW by PEI/TiO 2 /UV process. However, ANN model was superior to RSM model with higher value of coefficient of determination (0.9632 ANN [ 0.94 RSM ) and the lower root mean square error (RMSE) (3.377 AAN \ 3.569 RSM ). The average percentage error for ANN and RSM models was 0.18 and 0.73, respectively, indicating the superiority of ANN in capturing the nonlinear behavior of the system. It was clear that the best networks were able to predict the experimental responses more accurately than the multiple regression analysis.

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Section: Introductionmentioning

confidence: 99%

Process modeling and evaluation of petroleum refinery wastewater treatment through response surface methodology and artificial neural network in a photocatalytic reactor using poly ethyleneimine (PEI)/titania (TiO2) multilayer film on quartz tube

et al. 2014

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“…Although these works almost achieved complete removal of these constituents, the requirement of long reaction time and large reagent usage could not be neglected. Additionally, the conventional two-dimensional heterogeneous electrocatalytic system with limited surface area of electrodes can't satisfy the needs of sufficient interactions between the electrodes and target contaminant [16,17]. To overcome these drawbacks, novel electrocatalytic system with low energy consumption, improved electrode surface areas, and large contact efficiency should be necessarily established.…”

Section: Introductionmentioning

confidence: 99%

AuPd/Fe3O4-based three-dimensional electrochemical system for efficiently catalytic degradation of 1-butyl-3-methylimidazolium hexafluorophosphate

Qin

Sun

Liu

et al. 2015

Electrochimica Acta

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Keywords: three-dimensional system AuPd/Fe 3 O 4 ionic liquids kinetic study degradation mechanism A B S T R A C T Ionic liquids (ILs) have been reported to be toxic and harmful to aquatic and terrestrial organisms, thus it is imperative to remove the residual ILs in various effluents. In this work, a three-dimensional (3D) electrocatalytic system with synthesized AuPd/Fe 3 O 4 nanoparticles (NPs) as particle electrodes (PEs) was established for the degradation of typical 1-butyl-3-methylimidazolium ([BMIM]) based ILs. The assynthesized AuPd/Fe 3 O 4 possessed preferable electrochemical properties for in situ supplement of H 2 O 2 and renewable Fe species. This 3D electrocatalytic system exhibited excellent performance with 100% removal rate of BMIM in 90 min under 120 mA, pH 3, and 1 g/L dosage of AuPd/Fe 3 O 4 NPs. Kinetics study revealed that the degradation rule of BMIM well followed the anodic Fenton treatment (AFT) model, in which the variation of the degradation rate was positively correlated with that of dissolved Fe 2+ , while significantly differed from the evolution of H 2 O 2 . Particularly, the appearance of the H 2 O 2 inflection point suggested the optimal effectiveness of AuPd/Fe 3 O 4 -based 3D electrocatalysis. During this electrocatalytic process, the active HO was produced over the AuPd/Fe 3 O 4 PEs, thereby initiated the highly efficient degradation of BMIM into 1-butyl-3-methyl-2,4,5-trioxoimidazolidine, 1-butyl-3-methylurea and N-butyl-formamide as main intermediates. The electrocatalytic stability of the AuPd/Fe 3 O 4 PEs over seven times further indicated the potential applicability for organic wastewater treatment.

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“…Technol. Dev., 34 (1): 16-26, 2015 Phenolic compounds are the most important contaminants contributed to COD in wastewater produced from petroleum refineries (Yan et al, 2011). To meet environmental regulations for the direct discharge of water into natural waterways or municipal sewage systems, a reduction in the concentration of phenolic compounds to <0.5 mg LG 1 is required (Lamb et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…In addition of organic pollutants such as phenol, phenol compounds and aromatic compounds which are the main reason of high Chemical Oxygen Demand (COD) of such wastewater and salinity due to the use of sea water in some stages of the process, some inorganic ions, such as Mg G are also present (Alva-Argaez et al, 2007). Phenol and phenolic compounds are widely involved in many other industries, such as dyes, plastics, cleaning agent manufacturing, pesticides in agricultural industry, construction of automobiles and appliances (Karunarathne and Amarasinghe, 2013), Steel industries (Yan et al, 2011), coal-related industries i.e., coal gasification and coking plants (Lorenc-Grabowska et al, 2013), pulp and paper (Figuerola and Erijman, 2010), polymeric resin production, petrochemical and ceramic plants (Pigatto et al, 2013). Therefore, the wastewater from these industries contains various concentrations of these compounds (Yavuz et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…To meet environmental regulations for the direct discharge of water into natural waterways or municipal sewage systems, a reduction in the concentration of phenolic compounds to <0.5 mg LG 1 is required (Lamb et al, 2010). Many technologies have been investigated to remove phenol from water and wastewater, such as, extraction, distillation (Yan et al, 2010), ultrasonic degradation (El-Naas et al, 2010), photocatalytic degradation (Tu et al, 2013), ozonation (Zain et al, 2014), membrane separation (Busca et al, 2008), ion exchange (Karunarathne and Amarasinghe, 2013), electrochemical methods (Abdelwahab et al, 2009;Yavuz et al, 2010;Yan et al, 2011) and advanced oxidation processes (Dotto et al, 2013). Adsorption is a widely used technique for removal of many organic compounds including phenol (El-Naas et al, 2010;Zain et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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A Comparative Study for the Treatment of Refinery Synthetic Wastewater Containing Phenol

Altaher¹,

Ashour²,

Sawalha³

et al. 2015

Science, Technology and Development

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Abstract:In this study, removal of phenol which is classified as priority pollutant by US EPA, was experimentally investigated using different removal techniques including; adsorption using Granular Activated Carbon (GAC), biodegradation using six different active phenol uptaking bacteria, combined GAC sorption and biodegradation (Biological Activated Carbon, BAC) and GAC coupled with inactive bacteria (biosorption). A solution of 100 mg LG 1 phenol at room temperature was considered as the wastewater. The study was performed in the temperature range 25-30°C. The results of these different techniques revealed that activated carbon sorption is better than the other methods in removing phenol. The removal efficiency of this technique reached a value of 97% corresponding to residual phenol concentration of 3 mg LG 1 . The equilibrium sorption was reached after 48 h of contact. The adsorption data was better fitted to Langmuir model with adsorption capacity of 90 mg gG 1 . The adsorption was found to be second order with both intraparticle diffusion and film diffusion to control the adsorption process. The least effective removing method of phenol was the biodegradation using active bacteria alone. The residual concentration of phenol attained by this method was 17 mg LG 1 . According to the results of this study approximately 80% of the overall biological activity for removal of phenol was due to the surface sorption on the cell wall, whereas, about 20% of this activity was due to biodegradation.

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Electrochemical treatment of petroleum refinery wastewater with three-dimensional multi-phase electrode

Cited by 143 publications

References 20 publications

Process modeling and evaluation of petroleum refinery wastewater treatment through response surface methodology and artificial neural network in a photocatalytic reactor using poly ethyleneimine (PEI)/titania (TiO2) multilayer film on quartz tube

Process modeling and evaluation of petroleum refinery wastewater treatment through response surface methodology and artificial neural network in a photocatalytic reactor using poly ethyleneimine (PEI)/titania (TiO2) multilayer film on quartz tube

AuPd/Fe3O4-based three-dimensional electrochemical system for efficiently catalytic degradation of 1-butyl-3-methylimidazolium hexafluorophosphate

A Comparative Study for the Treatment of Refinery Synthetic Wastewater Containing Phenol

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