Surface Reaction Model Research Articles

Nano-titania/light expanded clay aggregate fixed bed as an effective adsorbent for removal of organic pollutant from water: Equilibrium and kinetic studies

A constructed fixed bed of light expanded clay aggregate coated with nano-titania particles has been applied as an effective adsorbent fixed bed to remove an anionic azo dye, direct red 16, from aqueous solution. This process was carried out using a recycled batch system under environmental temperature. Initial pH of the adsorbate solution imposed a severe effect on the adsorption process so that the best and worst performances of the prepared beds belonged to the acidic and basic pHs of 3 and 10, respectively. Various equilibrium and kinetic models were applied for analyzing experimental data related to several initial concentrations of DR16. Langmuir-Freundlich isotherm and mixed surface reaction and diffusion-controlled kinetic model satisfactorily described equilibrium and kinetic adsorption data, respectively. The models suggested that there is heterogeneity in this system and diffusion step at the same time with surface reaction determines the overall rate of the adsorption process. Appropriate and considerably stable performance of the used nano-titania/light expanded clay aggregate fixed beds after regeneration is one of the outstanding characters of the prepared beds. It is noteworthy that based on tests, the removal efficiency of the pollutant with the initial concentration of 25 mg/L was about 95% after 25 min (under pH 3 and T = 25 °C). It is while the adsorbent beds still worked steadily after about 65 times of reuses which can keep approximately all the adsorption capacity remaining. Therefore, features such as the high and relatively fast removal of the adsorbate, the facility and high rate in the regeneration can candidate the prepared fixed beds as an effective adsorbent for wastewater treatment.

Numerical study of gasification pelletized municipal solid waste using multi-stage air inlet downdraft gasifier

The three-dimensional computational fluid dynamic model is used to simulate the gasification process using a modified downdraft gasifier with two levels of air inlet in the pyrolysis and partial oxidation zone. The aim of this study is to know the influence of air in pyrolysis zone to the gasification performance. Simulation arrangement using k-epsilon for turbulence model, radiation model using P1, kinetic devolatilization model using two competing rates, municipal solid waste pellet fuel is modelled as granular particles and modelled by discrete phase and multiple surface reaction model completed with finite rate/Eddy dissipation. From the simulation results, the maximum syngas composition obtained for CO, H2, CH4, CO2, and H2O was 30.85%, 16.74%, 2.25%, 0.5%, and 0.57%, respectively with LHV 5.325 kJ/kg. Air inlet at pyrolysis zone initiate the pyrolysis reaction under oxidative environment and create a new combustion zone (pyrolysis oxidative zone) with the temperature of 785°C and the partial oxidation temperature reach out 1135oC. The heat energy for the endothermal reaction (drying and pyrolysis) is obtained additional from the heat energy released by the oxidative pyrolysis zone. The modelling results from this study can be used as a reference to improve downdraft gasification performance.

Reactive RED 195 dye removal using chitosan coacervated particles as bio-sorbent: Analysis of kinetics, equilibrium and adsorption mechanisms

Chitosan particles (CP) prepared by coacervation technique were used as bio-sorbent material to remove the azo RR-195 dye; removal percentage (%RM) and adsorption capacity (Q) in batch adsorption experiments under different conditions of bio-sorbent doses, agitation speed and pH medium were determined; the maximum pH of dye removal was 4. Different adsorption equilibrium isotherms were tested and Redlich-Peterson was the model that best fitted experimental results. From the adsorption thermodynamic parameters, it was concluded that the adsorption process of RR-195 onto CP is spontaneous, favorable (ΔG<0), endothermic (ΔH>0) and the dye molecules show affinity for the bio-sorbent (ΔS>0). The maximum monolayer adsorption capacity (Qm) of CP was 82.1 mg.g−1 at pH = 4 and 318 K; therefore coacervated chitosan particles are among the top three adsorbent agents for this dye. The %RM was 84.2% in 10 h when the initial concentration of the dye was 300 mg.L−1. The mixed surface reaction and diffusion-controlled kinetic model (MSR-DCK), fitted satisfactorily experimental results, by considering simultaneous mechanisms of diffusion and adsorption process in the active sites. Fourier transform infrared spectroscopy (FTIR) with attenuated total reflection (ATR), scanning electron microscope-energy dispersion spectrometry X-ray (SEM-EDS) and Zeta potential analysis revealed that the interaction between dye molecules and the bio-sorbent are of an electrostatic nature. Desorption/regeneration experiments indicated that CP can be used in adsorptions/desorption cycles for the removal of wastewater containing RR-195. The information presented in this work demonstrates that CP can be a potent eco-friendly bio-adsorbent for the remediation of industrial wastewater.

Surface Reactions of Phosphorus Extracted by the Modified Truog Method to Predict Soil Intrinsic Pools

Core Ideas Constant Capacitance Model was applied to soil P extraction reactions by the modified Truog test. Sulfate in Truog extractant was adsorbed to form a negative electrostatic potential at soil particle surface. Sulfate replaced phosphate by ligand exchange mechanism at soil particle surface. The surface electrostatic potential reduced the reaction rates of P extraction. Weakly and tightly adsorbed phosphorus (P) pools were proposed as a novel approach to quantify the actual amount of P adsorbed at the particle surface of tropical soils, and the extraction efficiencies (percentages) of the two pools by the modified Truog method were important for the measurements of the pools. The objectives of this study were to: (i) study the surface reactions in the method and (ii) predict the extraction efficiencies of the pools from soil properties. The first surface reaction in the method was the instant adsorption of sulfate in the extractant to form a monodentate inner‐sphere complex. The second and third surface reactions in the method were the ligand exchanges between sulfate and phosphate, and the new mechanisms proposed in this study included a step of slow formation of intermediate complexes in which both sulfate and phosphate were bound to metal cations and a subsequent step of instantly releasing phosphate from the intermediate complexes. The negative potential formed in the first reaction resulted in difficulty for sulfate to access the surface layer in the ligand‐exchange reactions. The double exponential models were derived from constant capacitance model (CCM) and kinetics of surface reactions. Results showed the models fit the experimental measurements well. The extraction efficiencies of the pools were determined by surface site density of clay. The consistency of the estimated capacitance density 2.421 F m−2 and literature indicated that CCM was valid to describe the surface reactions in the method and applicable to soil P management.

Leaching kinetics of valuable metals from waste Li-ion batteries using neural network approach

The kinetic study of valuable metals recovery from waste lithium-ion batteries (LIBs) using the artificial neural network (ANN) was investigated. A multilayer feed-forward artificial neural network with back-propagation learning algorithm was used for kinetic analysis of Co, Mn, Ni, and Li leaching from waste LIBs using H2SO4 in the presence of H2O2. Required data for ANNs learning were generated using various random combinations of kinetic parameters in their extended ranges (i.e., activation energy and Arrhenius equation constant) as well as the most common solid–liquid reaction model. The predictive accuracy of the model was comparable with the correlation coefficient of the model fitting method (R2). Results showed that the model developed in this study can be a useful tool in accurately predicting the kinetics of leaching reactions. The activation energy of Co, Mn, Ni, and Li recovery from waste LIBs using the proposed method calculated to be 40.83, 43.35, 39.06, and 27.30 kJmol−1, respectively, and leaching reaction for metals found to follow the surface chemical reaction model.

Chemical Treatment of Copper and Aluminum Derived from Waste Crystalline Silicon Solar Cell Modules by Mixed Acids of HNO3 and HCl

In this study, copper (Cu) and aluminum (Al) particles derived from waste crystalline silicon solar cell modules were etched with mixed acid containing HNO3 and HCl, and the optimal mixing conditions were examined for the purpose of recovering silicon with high yield. The crushed particles of waste silicon solar cells were used after sieving between 450 and 600 μm particle size. The Cu etching rate decreased with the increasing HCl concentration in the region of HNO3/HCl ≧ 3.36, whereas it increased at HNO3/HCl < 3.36. The Al etching rate increased when HCl was added, although it was almost independent of the amount of HNO3. 99.6% silicon purity was achieved at the treatment time of 30 min. The rate-determining step of Cu and Al etchings was represented by the volume reaction model instead of the surface reaction model. The CuCl coating was observed on the residuals of Cu. The increasing HCl blocked the Cu etching, but the excess Cl− promoted the dissolution of CuCl due to complex formation, corresponding to the regions of HNO3/HCl ≧ 3.36 and HNO3/HCl < 3.36, respectively. In the region of HNO3/HCl < 3.36, the spontaneous complete etching time of Cu and Al was achieved with higher HNO3 concentration of 8.5–10 mol/L.

Synergetic effects of firing gases/coal blends and adopting deep air staging on combustion characteristics

The synergetic effects of firing gases/coal blends and simultaneously adopting deep air staging on combustion characteristic parameters, such as furnace temperature, burnout of coal and NOx emissions, were firstly experimentally studied and numerically simulated in a 300 MWe unit boiler. The improved multiple surface reaction model, which included pore diffusion resistance of gas phase in ash, was proposed in this paper to simulate actual char combustion. The simulated results quantitatively showed that the proposed model solved the problem of seriously inaccurate calculation of unburned carbon in fly ash for the numerical simulation of multifuel combustion. Under the conditions of firing coal/gases blends and adopting air staging, the models of pulverized coal pyrolysis, coke gasification and gas combustion were established because the reduction atmosphere is formed in the primary combustion zone of the furnace. The reduction of NOx by reductive gases produced from co-firing gases, pulverized coal pyrolysis and coke gasification was considered in numerical simulation. All the numerical models adopted in this study were reasonably validated on the basis of comparing the simulation and experimental results. The temperature field, velocity field, flue gas components, coke burnout, NOx formation and reduction characteristics of three conditions (coal-fired condition, adopting deep air staging condition and firing coal/gases blend and simultaneously adopting deep air staging condition) were studied numerically. After firing coal/gases blend and adopting deep air staging, the furnace temperature field was fairly well-distributed; the average velocity of flue gas decreased lower; the reducing atmosphere zone was found to be lengthened by comparing the concentration of oxygen and carbon monoxide; and it could be concluded that there was more time for the combustible matter burning-out and NOx reduction. The temperature field and reducing gases distribution profile along the furnace height are disadvantageous for generating NOx and beneficial to reducing NOx. The results clarified the complex synergistic effect of firing coal/gases blend and adopting deep air staging on combustion characteristics, which could be applied to increase the boiler performance and optimize the co-firing technology.

Gas oxy combustion and conversion technologies for low carbon energy: Fundamentals, modeling and reactors

With growing concerns over greenhouse gas emission, novel combustion technologies are timely and critical. Fossil fuels will continue to contribute a large fraction of energy production in the near and intermediate future, making carbon capture and storage an important part of the solution. System studies show that oxy-combustion can play an important role in capturing CO2 efficiently when applied to power systems, because its efficiency and electricity prices are competitive with other low carbon energy. Gas-phase oxy-combustion, diluted with CO2 to control the flame temperature, utilizes conventional “off-the-shelve” technology. However, the combustion process exhibits characteristics different than those of air combustion because of the chemical activity of CO2, which impacts the combustor design. We summarize these characteristics. It also suffers from an energy penalty associated air separation. Alternative oxygen production technologies includes ion-transport membranes, and chemical looping using metal oxides as oxygen carriers. These technologies, while still under development, can couple oxygen separation and combustion in one process, i.e., process intensification. While an extensive knowledge base exists for gas phase oxy-combustion, these alternative technologies that rely on surface and electrochemical processes are still in their early stages. We review some fundamentals related to defect chemistry, surface and electrochemical reaction models, and their coupling with internal diffusion and external heat and mass transport, the associated rate-limiting steps and how they impact reactor design and performance. The discussion is used to explain the choice of oxygen carriers for chemical looping, and different reactor designs are summarized. Recent progress in material synthesis and chemistry show promising trends especially using perovskites, mixed oxides and dual-phase materials, and asymmetric structures for membranes and oxygen carriers. ITMs and CLC are dual-use technologies as they lend themselves naturally to water and CO2 splitting and the production of fuels and chemicals, but different materials and reactors are needed. They also present opportunities to integrate/hybridize fossil fuel systems with alternative energy sources for power and fuel production.

Highly detailed computational study of a surface reaction model with diffusion: Four algorithms analyzed via time-dependent and steady-state Monte Carlo simulations

In this work, we present an extensive computational study on the Ziff–Gulari–Barshad (ZGB) model extended in order to include the spatial diffusion of oxygen atoms and carbon monoxide molecules, both adsorbed on the surface. In our approach, we consider two different protocols to implement the diffusion of the atoms/molecules and two different ways to combine the diffusion and adsorption processes resulting in four different algorithms. The influence of the diffusion on the continuous and discontinuous phase transitions of the model is analyzed through two very well established methods: the time-dependent Monte Carlo simulations and the steady-state Monte Carlo simulations. We also use an optimization method based on a concept known as coefficient of determination to construct color maps and obtain the phase transitions when the parameters of the model vary. This method was proposed recently to locate nonequilibrium second-order phase transitions and has been successfully used in both systems: with defined Hamiltonian and with absorbing states. The results obtained via time-dependent Monte Carlo simulation along with the coefficient of determination are corroborated by traditional steady-state Monte Carlo simulations also performed for the four algorithms. Finally, we analyze the finite-size effects on the results, as well as, the influence of the number of runs on the reliability of our estimates.

The robust finite-volume schemes for modeling nonclassical surface reactions

A coupled system of nonlinear parabolic PDEs arising in modeling of surface reactions with piecewise continuous kinetic data is studied. The nonclassic conjugation conditions are used at the surface of the discontinuity of the kinetic data. The finite-volume technique and the backward Euler method are used to approximate the given mathematical model. The monotonicity, conservativity, positivity of the approximations are investigated by applying these finite-volume schemes for simplified subproblems, which inherit main new nonstandard features of the full mathematical model. Some results of numerical experiments are discussed.

A Multi-scale model for CO2 capture: A Nickel-based oxygen carrier in Chemical-looping Combustion

In this work, we present a multi-scale modelling framework for the Ni-based oxygen carrier (OC) particle that can explicitly account for the complex reaction mechanism taking place on the contacting surface between gas and solid reactants in Chemical Looping Combustion (CLC). This multi-scale framework consists of a gas diffusion model and a surface reaction model. Continuum equations are used to describe the gas diffusion inside OC particles, whereas Mean-field approximation method is adopted to simulate the micro-scale events, such as molecule adsorption and elementary reaction, occurring on the contacting surface. A pure CO stream is employed as the fuel gas whereas the NiO is used as the metal oxide because it is one of the mostly used material in laboratory and pilot-scale plants. Rate constants for the micro-scale events considered in the present work were obtained from a systematic Density Functional Theory (DFT) analysis, which provides a reasonable elementary reaction kinetics and lays a solid foundation for multi-scale calculations. A sensitivity analysis on the size of intra-particle pore and the adsoprtion rate constant was conducted to assess the mass transport effects on the porous particle. The proposed multi-scale model shows reasonable tendencies and responses to changes in key modelling parameters.

Characterization of Hydrolysis Kinetics in Staged Anaerobic Digestion of Wastewater Treatment Sludge.

The hydrolysis of mixed primary and secondary sludges in two-stage anaerobic digestion was evaluated and compared with conventional single-stage digestion, using various temperature-phased configurations of M1-M2, M1-T3, T1-T2, and T1-M3. A dual hydrolysis model best described the hydrolysis in all tests. This model was also able to consistently estimate the readily and slowly fractions of particulate chemical oxygen demand (COD) of raw sludge used in the tests. The hydrolysis kinetic coefficients (Khyd_s and Khyd_r) estimated for the mesophilic digesters were significantly greater in the short hydraulic retention time (HRT) M1 digester than those of the extended HRT digesters. Conversely, at thermophilic temperatures only Khyd_r was greater in short HRT T1 digester when compared to the extended HRT digesters. The increased Khyd_r and reduced Khyd_s values due to staging effect were explained with surface reaction models and endogenous decay. The temperature dependency of Khyd_s and Khyd_r was also explored in the staged digesters.

Correlated noise induced non-equilibrium phase transition in surface catalytic reaction model

In recent years, with the development of chemical study of complex systems, such as surface catalytic system, etc. the research of nonlinear dynamics problem of complex system has received much attention. These systems have high-degree complexity, and they are inevitably affected by intrinsic and extrinsic fluctuations (noise) and time delay. The combination of noise and time delay is ubiquitous in nature, and often changes fundamentally dynamical behavior of the system, and thus making the system produce more richer and complex dynamical behaviors. At present, in the theoretical studies of the nonlinear dynamic properties, the macroeconomic deterministic or stochastic dynamic equation is adopted most, and the time delay factor, especially the influences of combination of noise and time delay on complex system are rarely taken into account. Thus, the study of the character, mechanism and application has important realistic significance and scientific value. In this paper, we first introduce the Dimer-Monomer reaction model (DM model), where various dimer adsorption mechanisms in catalyst surface, namely, the local and random adsorption surface catalytic reaction models are considered. Then we use the stochastic delayed theory involved in this paper and its extension, including the analytical approximation and numerical simulation of complex systems under the action of noise and time delay. In this paper, we consider the effects of noise and time-delayed feedback in the surface catalytic reaction model, and construct a delayed monomer-dimer surface reaction model including correlated noise. According to the Langevin equation, applying small delay approximation, we obtain the delayed Fokker-Planck equation for calculating characteristic parameters of the non-equilibrium phase transition behavior (the extreme of the steady state probability distribution), analyzing the effect mechanism of noise and its correlation with the non-equilibrium phase transition. The MD model exhibits the first- and second-order phase transition, namely, the reactive window between first- and second-order phase transition. The MD models for various dimer adsorption mechanisms (namely, local and random adsorption models) are discussed. The results are indicated as follows. (1) The external noise and correlation between two noise signals cause the reactive window width to contract. (2) The influence of the internal noise on the behavior of non-equilibrium dynamical phase transition depends on the noise correlation, i.e., when the two noise signals are negatively correlated, the internal noise causes the reactive window width to expand. However when the two noise signals are positively correlated, the internal noise causes the reactive window width to contract. (3) The noise-caused changes of reaction window have important scientific significance in the first- and second-order phase transition of the MD surface reaction model.

Existence and Uniqueness Theorem for a Model of Bimolecular Surface Reactions

We prove the existence and uniqueness of classical solutions to a coupled system of parabolic and ordinary differential equations in which the latter are determined on the boundary. This system describes a model of bimolecular surface reaction between carbon monoxide and nitrous oxide running on supported rhodium in the case of slow desorption of the products.

Theory and applications of surface micro‐kinetics in the rational design of catalysts using density functional theory calculations

Rational design of catalysts has long been an important and challenging goal in heterogeneous catalysis. To achieve this target, density functional theory (DFT) calculations and micro‐kinetics are two of the cornerstones. The DFT calculations make it possible to obtain microscopic properties of catalytic systems by computational simulations, and the micro‐kinetic modeling of surface reactions provides a tool to link quantum‐chemical data with macroscopic behaviors of the systems. In this review, we focus on the basic concepts and latest theoretical progresses of strategies for the catalysts design, including Brønsted−Evans−Polanyi relation, the volcano curve, and the activity window. Among the progresses, the theory of chemical potential kinetics in heterogeneous catalysis and its implications on catalysts design, which was developed by our group, are described in detail with extensive derivations. Furthermore, the applications of this method on screening low‐cost counter electrodes for dye‐sensitized solar cells are presented with experimental evidences. WIREs Comput Mol Sci 2017, 7:e1321. doi: 10.1002/wcms.1321This article is categorized under: Structure and Mechanism &gt; Reaction Mechanisms and Catalysis Theoretical and Physical Chemistry &gt; Reaction Dynamics and Kinetics

Large-eddy Simulation of Pilot-assisted Pulverized-coal Combustion in a Weakly Turbulent Jet

Large-eddy simulation has been performed to investigate pilot-assisted pulverized-coal combustion in a weakly turbulent air jet. An advanced pyrolysis model, the chemical percolation devolatilization (CPD) model, has been incorporated into the LES framework to predict the local, instantaneous pyrolysis kinetics of coal particles during the simulation. Prediction on volatile species generation is thus improved, which provides an important initial condition for gas-phase volatile and solid-phase char combustion. For gas-phase combustion, the partially stirred reactor (PaSR) model is employed to model the combustion of volatile species, taking into account subgrid turbulence-chemistry interactions. For heterogeneous solid-phase char combustion, both the intrinsic chemical reaction on the internal surface of a char particle and the diffusion of gaseous oxidant through the film layer around the particle have been incorporated by using a kinetic/diffusion surface reaction model. The LES results show overall good agreements with experimental data. Sensitivity analysis has been performed to better understand the impact of parameter uncertainties on the LES results.

Effect of carboxymethyl cellulose on dissolution kinetics of carboxymethyl cellulose-sodium carbonate two-component tablet

Abstract Sodium carbonate and carboxymethyl cellulose powders are compressed into two-component tablets with three mass ratios, 97%:3%, 95%:5% and 93%:7%. The dissolution tests for two-component tablets and reference pure sodium carbonate tablets are carried out at various temperatures. The dissolution process of each tablet is measured by electrical conductivity tracking method and the concentration of dissolved sodium carbonate is quantified with calibrated conductivity-concentration converting equation of sodium carbonate. The quantified dissolution data is fitted with both surface reaction model and diffusion layer model and the results clearly show that surface reaction model is suggested as the appropriate dissolution model for all measured tablets. Therefore, it is determined that carboxymethyl cellulose is a stable element to remain the dissolution mechanism of tablet unchanged. The dissolution rate constant quantified with surface reaction model presents that carboxymethyl cellulose-sodium carbonate two-component tablets obtain significant higher dissolution rate constant than pure sodium carbonate tablet and higher proportion of carboxymethyl cellulose leads to apparent higher dissolution rate constant. The results prove for the usage of carboxymethyl cellulose in most practical applications at a relative low-level, the effect of carboxymethyl cellulose is effective and positive for two-component tablet to enhance the dissolution process and improve dissolution rate constant and this effect is speculated coming from its dynamic physical transforming process in water including dilation and conglutination.

Predictive Beyond-Mean-Field Rate Equations for Multisite Lattice–Gas Models of Catalytic Surface Reactions: CO Oxidation on Pd(100)

Tailored multisite lattice-gas (msLG) models are developed for CO-oxidation on Pd(100) at low-pressures. These models include multiple adsorption site types and superlattice adlayer ordering due to short-range exclusion for highly mobile reactant adspecies. However, they are simplified to neglect longer-range weaker adspecies interactions, so that the key energetic parameters are the CO desorption barrier and the reaction barrier. We discuss existing Density Functional Theory results for these energies, and present additional analysis for CO adsorption. After also including an appropriate non-trivial specification of the dynamics of adsorption onto mixed reactant adlayers, rate equations are developed for the reaction kinetics. Our formulation goes beyond traditional mean-field (MF) Langmuirian treatments by accounting for multiple adsorption sites and for the strong spatial correlations associated with superlattice ordering. Specifically, we utilize factorization approximations based on appropriate site ...

Adsorption of Vanadium (V) from SCR Catalyst Leaching Solution and Application in Methyl Orange.

In this study, we explored an effective and low-cost catalyst and its adsorption capacity and catalytic capacity for Methyl Orange Fenton oxidation degradation were investigated. The catalyst was directly prepared by reuse of magnetic iron oxide (Fe3O4) after saturated adsorption of vanadium (V) from waste SCR (Selective Catalytic Reduction) catalyst. The obtained catalyst was characterized by FTIR, XPS and the results showed that vanadium (V) adsorption process of Fe3O4 nanoparticles was non-redox reaction. The effects of pH, adsorption kinetics and equilibrium isotherms of adsorption were assessed. Adsorption of vanadium (V) ions by Fe3O4 nanoparticles could be well described by the Sips isotherm model which controlled by the mixed surface reaction and diffusion (MSRDC) adsorption kinetic model. The results show that vanadium (V) was mainly adsorbed on external surface of the Fe3O4 nanoparticles. The separation-recovering tungsten (VI) and vanadium (V) from waste SCR catalyst alkaline solution through pH adjustment was also investigated in this study. The results obtained from the experiments indicated that tungsten (VI) was selectively adsorbed from vanadium (V)/tungsten (VI) mixed solution in certain acidic condition by Fe3O4 nanoparticle to realize their recovery. Tungsten (V) with some impurity can be obtained by releasing from adsorbent, which can be confirmed by ICP-AES. The Methyl Orange degradation catalytic performance illustrated that the catalyst could improve Fenton reaction effectively at pH = 3.0 compare to Fe3O4 nanoparticles alone. Therefore, Fe3O4 nanoparticle adsorbed vanadium (V) has a potential to be employed as a heterogeneous Fenton-like catalyst in the present contribution, and its catalytic activity was mainly evaluated in terms of the decoloration efficiency of Methyl Orange.

Leaching Kinetics of Vanadium with Electro-oxidation and H2O2 in Alkaline Medium

A residue containing vanadium and chromium was precipitated from a wastewater mill. Electro-oxidation technology and H2O2 acting as reinforcement methods were introduced for vanadium leaching from the residue. During the leaching process, sodium hydroxide could provide an appropriate reaction medium and promote the reaction rate of the acidic oxides. Electro-oxidation technology and H2O2 could produce some fresh and nano-/micrometer-size oxygen bubbles, which could oxidize vanadium in low valence to high valence. The kinetics investigation indicated that the leaching process was followed by a surface chemical reaction model, and the leaching efficiency increased along the increase of the temperature and reaction time. The apparent activation energy decreased with the intensification of electro-oxidation technology and H2O2. Electro-oxidation technology coupled with H2O2 exhibited the lowest apparent activation energy as 6.48 kJ mol–1.