Characterization of hydrodynamics and mass transfer in two types of tubular electrochemical reactors

Wang, Jiade; Li, Tingting; Zhou, Mingming; Li, Xiangpeng; Yu, Jianming

doi:10.1016/j.electacta.2015.05.135

Cited by 51 publications

(25 citation statements)

References 21 publications

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“…Other parameters, such as temperature (T), pH value, and electricity can be obtained when the influent quality and flow rate are held constant in the electrolytic cell. The kinetic constant K is only related to current density ( j ) under the conditions of the original pH of 3 and Na 2 SO 4 concentration of 0.10 mol L −1 [11].…”

Section: Resultsmentioning

confidence: 99%

“…Conventional mathematical or mechanistic models can be used to predict the final state of the system only under given circumstances [10]. Wang et al [11] calculated the velocity distribution and turbulence distribution of a new type of tubular plunger flow reactor by CFD. CFD can reveal the mass transfer process and mechanism of an electrochemical reactor, but it is still affected by grid mass, transfer mode, and calculation [12,13].…”

Section: Introductionmentioning

confidence: 99%

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BP–ANN Model Coupled with Particle Swarm Optimization for the Efficient Prediction of 2-Chlorophenol Removal in an Electro-Oxidation System

Mei

Yang

et al. 2019

IJERPH

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Electro-oxidation is an effective approach for the removal of 2-chlorophenol from wastewater. The modeling of the electrochemical process plays an important role in improving the efficiency of electrochemical treatment and increasing our understanding of electrochemical treatment without increasing the cost. The backpropagation artificial neural network (BP–ANN) model was applied to predict chemical oxygen demand (COD) removal efficiency and total energy consumption (TEC). Current density, pH, supporting electrolyte concentration, and oxidation–reduction potential (ORP) were used as input parameters in the 2-chlorophenol synthetic wastewater model. Prediction accuracy was increased by using particle swarm optimization coupled with BP–ANN to optimize weight and threshold values. The particle swarm optimization BP–ANN (PSO–BP–ANN) for the efficient prediction of COD removal efficiency and TEC for testing data showed high correlation coefficient of 0.99 and 0.9944 and a mean square error of 0.0015526 and 0.0023456. The weight matrix analysis indicated that the correlation of the five input parameters was a current density of 18.85%, an initial pH 21.11%, an electrolyte concentration 19.69%, an oxidation time of 21.30%, and an ORP of 19.05%. The analysis of removal kinetics indicated that oxidation–reduction potential (ORP) is closely correlated with the chemical oxygen demand (COD) and total energy consumption (TEC) of the electro-oxidation degradation of 2-chlorophenol in wastewater.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

BP–ANN Model Coupled with Particle Swarm Optimization for the Efficient Prediction of 2-Chlorophenol Removal in an Electro-Oxidation System

Mei

Yang

et al. 2019

IJERPH

Self Cite

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“…Besides the acquisition of numerical data, the visual representation of a wide variety of parameters facilitates the understanding of the system. In the last decade, different research groups have made use of this type of software to improve and understand systems such as AO, EC and EF, for example, Figure 3a shows the mixing comparison of a vertical-flow tubular and a concentric tubular electrochemical reactors, as can be seen the turbulent intensity of wastewater was higher around the electrodes in the former reactor, which translates as a better mass transfer of the active substances towards the electrodes surface (Wang et al, 2015), Figure 3b illustrates the current distribution in the electrodes of an EC reactor (Villalobos-Lara et al, 2020) and Figure 3c shows the generation of Fe 2+ that takes place in the cathode due to the reduction of Fe 3+ after different time intervals during the EF process (Reza et al, 2015).…”

Section: Computational Fluid Dynamics In Electrochemical Reactorsmentioning

confidence: 99%

“…Compilation of representative publications on stand-alone electrochemical processes applied to the treatment of highly polluted wastewater. [Adapted with permission from: (Wang, Li et al 2015) (Villalobos-Lara et al, 2020 and (Reza, Masoud et al 2015)]. Copyright Elsevier.…”

Section: Declaration Of Interest Statementmentioning

confidence: 99%

Electrochemical treatment of highly concentrated wastewater: A review of experimental and modeling approaches from lab- to full-scale

García-Rodríguez

Mousset

Olvera‐Vargas

et al. 2020

Critical Reviews in Environmental Science and Technology

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This review proposes an insight into the prospects of electrochemistry for the treatment of highly concentrated effluents in three sections. The first section focuses on the challenges inherent to such kind of wastewater, divided into five categories: industrial wastewater (e.g., pharmaceutical, electronics, chemical, food-processing), hypersaline effluents (e.g., RO concentrates), solutions contaminated with a mixture of organic and inorganic contaminants (e.g., leachate, mining), highly viscous solution (or non-Newtonian liquid) (e.g., sludge) and solutions of high COD load but with low pollutant content (e.g., from soil washing). The second section of this review then focuses on the treatment strategies to ensure that the electrochemical treatment is adapted to these very specific waste streams, including the influence of operating conditions, electrode materials and processes (with special emphasis on anodic oxidation, electro-Fenton and electrocoagulation). The final part focuses on the perspectives of electrochemical treatment of challenging wastewater, by giving the engineering parameters to ensure successful upscaling of electrochemical processes in terms of modeling mass transport, charge transfer and hydrodynamics, reactor designs and energy requirements. The review concludes on process combinations, where electrochemistry could complement traditional methods of treatment, in order to improve the overall efficiency of the integrated system.

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“…As a result, the mass transfer coefficient of the ow cell strongly affects its oxidation performance. 29,30 Although a surface-modied BDD electrode has an effective surface area that is several times larger, its lower mass transfer rate leads to a bulky double-layer charge region, resulting in a net negative effect. Therefore, a more precise design of the electrode surface that considers the effect on mass transport is required for electrochemical oxidation applications.…”

Section: 2728mentioning

confidence: 99%

Boron-doped diamond nanowire array electrode with high mass transfer rates in flow-by operation

et al. 2018

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We fabricated a boron-doped diamond nanowire (BDDNW) array electrode via soft lithography and metalassisted chemical etching (MACE) of Si to provide a highly promoted effective surface area and increased mass transport during the electrochemical oxidation process. The effects of aligning the BDDNW on the electrochemical oxidation performance and the current efficiency of the electrode in phenol oxidation were examined. Although the effective surface area of the BDDNW array with an aligned nanowire configuration was smaller than that of the BDDNW with a random nanowire configuration, the BDDNW array electrode exhibited a higher mass transfer coefficient, resulting in a better performance in the removal of phenol. The enhanced mass transport exhibited by the BDDNW array electrode also greatly enhanced the chemical oxygen demand (COD) and current efficiency. Furthermore, because of its excellent oxidation performance, the BDDNW array electrode also exhibited much lower energy consumption during the phenol oxidation process.

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Characterization of hydrodynamics and mass transfer in two types of tubular electrochemical reactors

Cited by 51 publications

References 21 publications

BP–ANN Model Coupled with Particle Swarm Optimization for the Efficient Prediction of 2-Chlorophenol Removal in an Electro-Oxidation System

BP–ANN Model Coupled with Particle Swarm Optimization for the Efficient Prediction of 2-Chlorophenol Removal in an Electro-Oxidation System

Electrochemical treatment of highly concentrated wastewater: A review of experimental and modeling approaches from lab- to full-scale

Boron-doped diamond nanowire array electrode with high mass transfer rates in flow-by operation

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