Kinetics Study and Simulation of DME Steam Reforming Reaction

Abstract

A CFD (computational fluid dynamics) model has been presented to simulate the steam reforming reaction of DME in this study. A three-dimensional numerical model introduced by the commercial software COMSOL was used to investigate the fluid flow of reformer bed and heating tubes, the energy transport of reformer bed and heating tubes, and the mass transport of reformer bed. The governing equations in the model consist of conservations of mass, momentum, energy and chemical species. In order to optimize the process of reaction, the steam to DME ratio, the inlet temperature, and porosity were investigated. The simulation results showed the changes of temperature distribution, DME conversion and hydrogen production of the steam reforming reaction with different operation conditions.

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Wang, J. and Li, C. (2017) Kinetics Study and Simulation of DME Steam Reforming Reaction. Open Access Library Journal, 4, 1-8. doi: 10.4236/oalib.1104022.

1. Introduction

Energy is the indispensable material basis of human existence, and is also the driving force of social economy development. The rapid development of economy has brought double crisis of energy shortage and environmental pollution, so hydrogen as fuel for fuel cell vehicles gets rapid development [1] [2] . Dimethyl ether has a high content of hydrogen, non-toxic and the advantages of similar to liquefied petroleum gas (LPG). It is environmentally friendly and easy to store and transport, thus becoming an ideal liquid raw materials used in the reforming hydrogen production [3] . Dimethyl ether steam reforming hydrogen production not only extends the application fields of dimethyl ether in the fuel, but also benefits environmental protection, so this technology has the double meaning of energy development and environmental protection. Hydrogen production from steam reforming of DEM is a continuous reaction: The first step is DME hydrolysis into methanol on an acidic catalyst; the second step is to produce hydrogen in the methanol reforming of the metal catalyst. The DME hydration of methanol is a thermodynamic equilibrium limit, but immediately produced methanol steam reforming reaction.

Several reported studies of experimental and theoretical on steam reforming have been proposed. Chang-Feng Yan et al. investigated a micro-reactor with catalyst coated on nickel foam support and the effect of Cr promoter on performance of steam reforming of dimethyl ether in a metal foam micro-reactor [4] [5] . Francis A. Elewuwa et al. presents a computational parametric analysis of DME steam reforming in a large scale Circulating Fluidized Bed (CFB) reactor [6] [7] . A kinetic rate of total combustion of DME based on copper-based catalyst has been presented by Feng et al. [8] . Hydrogen production from steam reforming of DME has been modeled and simulated by Li C et al. [9] .

2. Numerical Model

2.1. Physical Model

The simulated microreactor consists of three domains: catalyst bed, heating tubes, and insulating jacket.

2.2. Model Assumptions

Assuming that the flow regime is stable, laminar and incompressible, the gas mixture is considered as ideal gas. The mixture consists of six species: DME, CH3OH, CO2, CO, H2O, and H2. In addition, the volumetric flow is in the axial direction, while the mass transfer occurs mainly in the lateral direction of diffusion to the reactor wall. Therefore, the three-dimension model is adequate to cope with the reforming reaction.

2.3. Governing Equations

Based on the above assumptions, the mass, momentum, energy, and species equations of the porous region can be written as follows.

2.3.1. The Energy Transport Equations

The average temperature distribution equation of the porous bed:

( ρ C p ) t T s r t + ( k s r T s r ) + ( ρ C p ) f u T s r = Q (1)

In the above equation, ρ denotes the gas density, Tsr is the temperature and ksr is the thermal dispersion of the reformer bed. Q represents a heat source, and u is the fluid velocity.

The energy transport equation in heating tubes:

( k h t T ) + ρ C p u T = 0 (2)

where kht is the thermal conductivity of the heating gas.

2.3.2. The Mass-Balance Equation of Reformer Bed

( ρ ω i u ρ ω i j = 1 n D i j ( x j + ( x j ω j ) p p ) D i T T T ) = R i (3)

Here, ωi is the mass fraction of species i, xj is the molar fraction of species j, Dij is the ij component of the multicomponent Fick diffusivity. Di denotes the generalized thermal diffusion coefficient, T is the temperature, and Ri is the reaction rate.

2.4. Boundary Conditions

The inlet and outlet boundary conditions describe a pressure drop across the bed. All other boundaries are impervious, corresponding to the condition:

κ η p s r n = 0 (4)

Convective heat transport at the outlet is assumed to be dominant:

n ( k s r T s r ) = 0 (5)

For the flow of heating gas in the tubes, the boundary conditions are:

u n = v 0 (6)

u = 0 (7)

p = p r e f (8)

2.5. Chemical Kinetics

Catalytic steam reforming of DME involves many reactions with different rates, the parameters in Equation (9) for DME hydrolysis into methanol were reported by Feng et al. [8] .

r DME = r DMO + = k F , DMO + C R 1 + k C , DMO + C DMO + (9)

The kinetic equations [10] for methanol steam reforming and decomposition reaction are:

r R = ( 1 ε ) ρ s k R C CH 3 OH (10)

r 3 = ( 1 ε ) ρ s k D (11)

Here, ρ s is catalyst density, k R denotes the reforming rate constant, C CH 3 OH is the molar concentration of methanol, k D is the decomposition rate constant.

The kinetic model of WGS reactions is as following [11] :

r WGS = C WGS k WGS ( p CO p H 2 O p CO p H 2 / K e q ) (12)

where, k WGS and K e q are the rate constant and the equilibrium constant respectively.

3. Validation

3.1. Experimental Study

A reliable model is crucial to simulate the physical phenomena. In order to verify the reliability and accuracy of the simulated model, numerical results and the experimental data under the same conditions were compared. In the experimental system, the steam and DME flow was controlled by the syringe pump, the mixed gas flowed into the reactor filled with a CuO/ZnO/Al2O3 + ZSM5 catalyst through a mass flow controller. Reactant and product concentrations were measured by gas chromatography.

3.2. Validation of the Model

The reactant gas was preheated to 200˚C, and the steam to DME ratio was 5, the DME conversion and the hydrogen yield are defined as follows:

DME conversion ( % ) = ( F DME , in F DME , out ) / F DME , in × 100 % (13)

Hydrogen yield ( % ) = F H 2 , out / F DME , in × 1 / 6 × 100 % (14)

where FDME is the mass flow of DME, F H 2 is the mass flow of H2.

Figure 1(a) and Figure 1(b) shows the comparison of DME and H2 yield respectively between the simulation results and experiment data. The higher hydrogen production and DME conversion of simulation results were probably due to hydrogen spillover or hydrogen leak of the experiment.

The simulation results for DME conversion and yield agree well with the experimental data. Therefore, the numerical simulation error is small and the result is reasonable, the current model can be used to study the reactor.

Figure 1. Comparison between the simulation results and the experimental data. (a) DME conversion; (b) hydrogen production.

4. Results and Discussions

4.1. Effect of Steam/DME Molar Ratio

Figure 2(a) and Figure 2(b) shows the DME conversion and hydrogen production as a function of temperature with different ratio of steam to DME. The inlet temperature of mixture gas was 260˚C. The ratio of steam to DME ranges from 3 to 7.

Figure 2 shows that the DME conversion and hydrogen yield increased with the increase of the steam/DME ratio. The higher steam/DME ratio accelerated the DME hydrolysis reaction and methanol reforming reaction, and the water gas shift reaction was promoted, so as to produce more H2.

4.2. Effect of Inlet Temperature

Effect of inlet temperature was shown in Figure 3. Figure 3(a) and Figure 3(b)

Figure 2. DME conversion and Hydrogen production as a function of temperature. (a) DME conversion; (b) hydrogen production.

Figure 3. Effects of temperature on the DME and H2 mole fraction. (a) Mole fraction of DME; (b) mole fraction of H2.

shows the mole fraction of DME and H2 respectively with the change of gas inlet temperature. As seen in Figure 3, the mole fraction of DME was lowest at the temperature of 300˚C, while the mole fraction of H2 was highest. These results indicated that higher temperature can further the DME hydrolysis, but strengthened the reverse water-gas-shift reaction. A higher temperature promoted higher conversion of DME and higher hydrogen yield.

4.3. Effect of Porosity

As shown in Figure 4 was the effect of porosity on the mole fraction of DME and H2. The range of porosity changed from 0.2 to 0.8.

Figure 4 shows that the larger the porosity, the higher mole fraction of H2, and the lower mole fraction of DME, because the increasing porosity decreased the inlet pressure.

Figure 4. Effects of porosity on the DME and H2 mole fraction. (a) Mole fraction of DME; (b) mole fraction of H2.

5. Conclusions

In this study, catalytic steam reforming of DME was simulated using a three-dimensional CFD model introduced in software COMSOL. On the basis of the model, the process of steam reforming reaction was investigated properly.

The simulated model can reveal the hydrogen production and DME conversion properly, and the conclusions are as follows.

1) The reaction with higher steam to DME ratio can produce more hydrogen and improve the DME conversion.

2) Higher inlet temperature can provide more heat needed for the reaction, so as to accelerate the reaction, and lead to more hydrogen.

3) Larger porosity can bring a higher DME conversion and more hydrogen because of a larger reaction surface and more catalyst. The pressure drop between the inlet and outlet of the reactor was smaller.

Conflicts of Interest

The authors declare no conflicts of interest.

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