daesung song, wonjuncho, dal keun park, and en sup yoon · 2007. 9. 20. · 816 daesung song,...

12
Introduction 1) Dimethyl ether (DME), the simplest ether is considered as a substitute fuel that could potentially replace petro- leum-based fuels [1]. Its physical properties are similar to those of liquefied petroleum gas (LPG). So it can exploit the existing land-based and ocean-based LPG infra- structures with minor modification. DME with its cetane number of 55 to 60 is also considered as a substitute for diesel fuel (cetane number 55) [2-5]. Compared with die- sel fuel, combustion of DME produces much less pollu- tants such as hydrocarbons, carbon monoxide, nitrogen oxides and particulates in CIDI engine tests [5-9]. DME has been traditionally produced by dehydration of meth- anol, which is produced from syngas, products of natural gas reforming. This traditional process is thus called two-step method of DME preparation. However, DME can be prepared directly from syngas (single-step) [10-12]. Single-step method needs only one reactor for To whom all correspondence should be addressed. (e-mail: [email protected]) DME synthesis, instead of two for two-step process. It can also alleviate thermodynamic limitation of methanol synthesis by converting it as produced into DME, there- by potentially enhancing overall conversion of syngas to DME. We can choose from several types of reactor for DME synthesis. Fluidized bed reactor is proposed as an ideal reactor for the highly exothermic DME synthesis [13]. But development of fluidised bed reactor for DME synthesis is still in the early stage of development, and feasibility of it is not established yet. Investigators have studied two different reactor types for the commercialisa- tion of DME synthesis: bubbling slurry reactor [14] and fixed bed reactor. In a slurry reactor fine catalyst par- ticles are suspended in a solvent and feed gas enters as bubbles from below. Control of reactor temperature is manageable due to large heat capacity of the solvent that is cooled by heat exchange tubes in the reactor. But re- actants should be transferred from gas bubbles to liquid phase solvent and then to catalyst particles for the syn- thesis reaction. Low diffusivity in the liquid phase can slow down overall reaction rate. Loss of fine catalyst par- ticles from the reactor could be also a problem. Much Daesung Song, Wonjun Cho , Dal Keun Park, and En Sup Yoon School of Chemical and Biological Engineering, Seoul National University, Seoul 151-744, Korea *LNG Technology Research Center, KOGAS, Incheon 406-110, Korea Received March 14, 2007; Accepted June 4, 2007 Abstract: Dimethyl Ether (DME, CH 3 OCH 3 ) is the simplest ether and considered as one of the leading candidates for the substitute of petroleum-based fuels. In this work, we analyzed one-step DME synthesis in a shell and rube type fixed bed reactor and carried out simulation with a one-dimensional, steady state model of heterogeneous catalyst bed with consideration of the heat and mass transfer between catalyst pellet and reactants gas and effec- tiveness factor of catalysts together with reactor cooling through reactor tube wall. We compared behaviours of the reactor using two different arrangements of catalysts, mixture of catalyst pellets and hybrid catalyst. The ef- fects of several parameters including feed temperature, GHSV (Gas Hourly Space Velocity), H2 to CO ratio in the feed gas, reactor pressure and ratio of methanol synthesis catalyst to methanol dehydration catalyst were investigated. Results of the simulation indicate that hybrid catalyst is better than mixture of pellets in terms of CO conversion, DME yield and DME productivity due to proximity of active sites of two different catalysts. Keywords: dimethyl ether, fixed bed reactor, simulation

Upload: others

Post on 08-Feb-2021

1 views

Category:

Documents


0 download

TRANSCRIPT

  • Introduction1)

    Dimethyl ether (DME), the simplest ether is considered

    as a substitute fuel that could potentially replace petro-

    leum-based fuels [1]. Its physical properties are similar to

    those of liquefied petroleum gas (LPG). So it can exploit

    the existing land-based and ocean-based LPG infra-

    structures with minor modification. DME with its cetane

    number of 55 to 60 is also considered as a substitute for

    diesel fuel (cetane number 55) [2-5]. Compared with die-

    sel fuel, combustion of DME produces much less pollu-

    tants such as hydrocarbons, carbon monoxide, nitrogen

    oxides and particulates in CIDI engine tests [5-9]. DME

    has been traditionally produced by dehydration of meth-

    anol, which is produced from syngas, products of natural

    gas reforming. This traditional process is thus called

    two-step method of DME preparation. However, DME

    can be prepared directly from syngas (single-step)

    [10-12]. Single-step method needs only one reactor for

    †To whom all correspondence should be addressed.

    (e-mail: [email protected])

    DME synthesis, instead of two for two-step process. It

    can also alleviate thermodynamic limitation of methanol

    synthesis by converting it as produced into DME, there-

    by potentially enhancing overall conversion of syngas to

    DME. We can choose from several types of reactor for

    DME synthesis. Fluidized bed reactor is proposed as an

    ideal reactor for the highly exothermic DME synthesis

    [13]. But development of fluidised bed reactor for DME

    synthesis is still in the early stage of development, and

    feasibility of it is not established yet. Investigators have

    studied two different reactor types for the commercialisa-

    tion of DME synthesis: bubbling slurry reactor [14] and

    fixed bed reactor. In a slurry reactor fine catalyst par-

    ticles are suspended in a solvent and feed gas enters as

    bubbles from below. Control of reactor temperature is

    manageable due to large heat capacity of the solvent that

    is cooled by heat exchange tubes in the reactor. But re-

    actants should be transferred from gas bubbles to liquid

    phase solvent and then to catalyst particles for the syn-

    thesis reaction. Low diffusivity in the liquid phase can

    slow down overall reaction rate. Loss of fine catalyst par-

    ticles from the reactor could be also a problem. Much

    Daesung Song, Wonjun Cho , Dal Keun Park, and En Sup Yoon†

    School of Chemical and Biological Engineering, Seoul National University, Seoul 151-744, Korea

    *LNG Technology Research Center, KOGAS, Incheon 406-110, Korea

    Received March 14, 2007; Accepted June 4, 2007

    Abstract:Dimethyl Ether (DME, CH3OCH3) is the simplest ether and considered as one of the leading candidates

    for the substitute of petroleum-based fuels. In this work, we analyzed one-step DME synthesis in a shell and rube

    type fixed bed reactor and carried out simulation with a one-dimensional, steady state model of heterogeneous

    catalyst bed with consideration of the heat and mass transfer between catalyst pellet and reactants gas and effec-

    tiveness factor of catalysts together with reactor cooling through reactor tube wall. We compared behaviours of

    the reactor using two different arrangements of catalysts, mixture of catalyst pellets and hybrid catalyst. The ef-

    fects of several parameters including feed temperature, GHSV (Gas Hourly Space Velocity), H2 to CO ratio in

    the feed gas, reactor pressure and ratio of methanol synthesis catalyst to methanol dehydration catalyst were

    investigated. Results of the simulation indicate that hybrid catalyst is better than mixture of pellets in terms of

    CO conversion, DME yield and DME productivity due to proximity of active sites of two different catalysts.

    Keywords: dimethyl ether, fixed bed reactor, simulation

  • Daesung Song, Wonjun Cho, Dal Keun Park, and En Sup Yoon816

    Table 1. Reaction Mechanism, Reaction Kinetics, Kinetic Parameters and Equilibrium Constant

    Reaction mechanismCO2 + 3H2 CH3OH + H2O (1a)CO + H2O CO2 + H2 (1b)2CH3OH CH3OCH3 + H2O (1c)

    Reaction kinetics

    Kinetic parameters

    parameter = A(i)exp(B(i))/RT)

    A (i) B (i) parameter

    k1 1.65 36696 4846.93

    k2 3610 0 3610

    k3 0.37 17197 15.61

    k4 7.14 × 10-11 124119 38.34

    k5 1.09 × 1010 -94765 12.07

    Kch3oh 0.00079 70500 3633.13

    k6 3.7 × 1010 -105000 4.417

    KH20 0.084 41100 643.376

    Equilibrium constant

    empiricism would be needed for the scale-up of the

    process.

    In a fixed bed reactor the main difficulty would be the

    prevention of the occurrence of hot spot as the reactions

    in DME synthesis are severely exothermic. Catalysts can

    be irreversibly deactivated once exposed to above 330oC. One simple way of limiting temperature rise is con-

    trolling conversion, but this is not desirable economi-

    cally. Therefore it necessitates understanding and pre-

    dicting the behaviour of reactor at various conditions for

    the design and scale-up of the DME synthesis process.

    But it is not feasible to gather all the data experimentally,

    and numerical simulation will be very valuable in the

    process development. In this study we developed a math-

    ematical model to simulate a pilot-plant scale, shell and

    tube type DME reactor. In this work, we analyzed one-

    step DME synthesis, and carried out simulation of a pilot

    scale, fixed bed reactor with a one-dimensional heteroge-

    neous reactor model under steady state condition with

    consideration of the heat and mass transfer between cata-

    lyst pellet and reactants gas and effectiveness factor of

    catalysts together with reactor cooling through reactor

    wall. We compared and analyzed the behaviour of the re-

    actor using two different arrangements of catalysts, mix-

    ture of catalyst pellets (a commercial methanol synthesis

    catalyst, CuO/ZnO/Al2O3 and a methanol dehydration

    catalyst, γ-alumina) and hybrid catalyst. By mixture of

    catalyst pellets we envision pellets of methanol synthesis

    and those of dehydration are uniformly mixed and put in-

    to reactor tubes. Hybrid catalyst is, by our definition, cat-

    alyst pellets prepared from mixture of fine powdered cat-

    alysts aforementioned. Thus active sites for methanol

    synthesis and those for dehydration of methanol are in-

    ter-mixed within a catalyst pellet in the case of hybrid

    catalyst. Intuition tells us that hybrid scheme would be

    more effective than mixture of pellets due to proximity

    of active sites of two different catalysts. In the specific

    case of DME synthesis, however, we need a systematic

    analysis in order to evaluate how the type of the catalyst

    arrangement influences the behaviour of a reactor and

    control the reaction heat from the highly exothermic

    DME synthesis. We also investigated the effects of vari-

  • Comparison of the Performance of a Fixed Bed Reactor in the Two Cases, Mixture of Catalyst Pellets and a Hybrid Catalyst, for Dimetyl Ether Synthesis 817

    Table 2. Heat and Mass Transport Property Correlations on the Surface of the Catalyst

    The conventional expressions for the heat transfer coefficient

    The heat transferred between the surface of the catalyst and the reaction fluid

    ous variables on the performance of the reactor.

    Development of the ReactorModel

    Reactormodel assumptions

    For modeling the reactor the following assumptions are

    made: (1) a one-dimensional heterogeneous model, (2)

    negligible radial temperature gradient and axial dis-

    persion in the reactor tube, (3) radial temperature gra-

    dient in catalyst pellets are insignificant because the con-

    ductivity of the catalyst pellets are sufficiently high as to

    discount any temperature difference between core and

    surface, and (4) the dynamics of catalyst deactivation are

    ignored due to a large time constant.

    Reaction Kinetics

    The preparation of DME from syngas can be repre-

    sented by three catalytic reactions, as shown in Table 1

    [15].

    Reaction (1a) corresponds to the synthesis of methanol

    from carbon dioxide and hydrogen. Reaction (1b) is the

    water gas shift reaction. These two reactions are cata-

    lyzed by the methanol synthesis catalyst (CuO/ZnO/

    Al2O3). Reaction (1c) is the methanol dehydration re-

    action, i.e. the DME synthesis reaction catalyzed by an

    acidic catalyst (γ-alumina). Combinations of these three

    reactions can explain the other schemes of preparation of

    DME from syngas. We also use the reaction rate equa-

    tions in Table 1 [16,17]. These three reactions are all

    exothermic. Therefore, the handling of the reaction heat

    is very important for the control of the reactions. The val-

    ues of the kinetic parameters in the kinetic expressions

    are summarized in Table 1. The equilibrium constant of

    each reaction in Table 1 is taken from the literature

    [18,19].

    Heat and Mass Transfer on the Surface of the Catalyst

    Due to the highly exothermic nature of the reactions,

    the temperature of the catalyst pellets can differ from that

    of the bulk stream of the reactants. Likewise, there could

    be a difference in the concentration of the reactants be-

    tween the bulk and catalyst pellets surface. The heat and

    mass transport rate correlations on the surface of the cat-

    alyst are summarized in Table 2.

    Therefore, we investigated the heat and mass transfer on

    the surface of the catalyst pellets. We employed conven-

    tional expressions (4) for the heat transfer coefficient

    [20-22]. The temperature of the catalyst particles should

    satisfy the energy balance between the heat transfer and

    heat of reaction: at steady state, the reaction heat should

    be equal to the heat transferred between the surface of

    the catalyst and the reaction fluid (5).

    Effectiveness Factor

    The intrinsic reaction rate can differ from the global re-

    action rate, because of pore diffusion in the catalyst pel-

    lets when their diameter is of the order of several milli-

    meters. The effectiveness factor correlations are summar-

    ized in Table 3.

    We assume that the temperature of each catalyst pellet

    is uniform and equal to the temperature on its surface and

    consider only the mass balance within it. For spherical

    catalyst pellets the concentration of the reactants and

    products can be obtained by solving the partial different

    equations given in Table 3 [23]. The effective diffusivity

    of the gases through the porous catalyst pellets was esti-

    mated from the molecular diffusivity, porosity and tor-

    tuosity of the pores using equation (7). The solutions of

    these equations provide the concentration profiles of the

    gas species in the catalyst pellets together with the global

    reaction rates.

    Heat TransferBetween Tubes and Shell

    The heat generated from the chemical reactions in the

    catalyst is transferred to the gases flowing through the re-

    actor tubes, and then to the cooling medium on the shell

    side of the reactor. The heat transport property correla-

    tions are summarized in Table 4.

    Equation (8) holds for the whole reactor, as well as for

    any given section of it. It calculates the temperature rise

    of the reactants by subtracting the heat transferred to the

    coolant from the heat generated by the chemical reacti-

    ons. In order to estimate the heat transfer coefficient (9a),

  • Daesung Song, Wonjun Cho, Dal Keun Park, and En Sup Yoon818

    Table 3. Effectiveness Factor Correlations

    Steady state mass balances in the catalyst

    Boundary conditions

    Effective diffusivity

    Table 4. Heat Transport Property Correlations

    Overall heat balance

    Overall heat transfer coefficient

    Shell side heat transfer coefficient

    Tube side heat transfer coefficient

    U, we need to know both the shell side and tube side heat

    transfer coefficients. The common method of calculating

    the heat transfer coefficient can be employed for the esti-

    mation of the shell side heat transfer coefficient (9b), as

    heat transferring liquid or boiling water is used as the

    cooling medium in the shell [24]. However, the presence

    of the catalyst pellets makes the estimation of the heat

    transfer coefficient on the tube side much more com-

    plicated. Although several correlations are available in

    the literature, their reliability should be experimentally

    verified. As we do not have experimental values for the

    tube side heat transfer coefficient, we selected the corre-

  • Comparison of the Performance of a Fixed Bed Reactor in the Two Cases, Mixture of Catalyst Pellets and a Hybrid Catalyst, for Dimetyl Ether Synthesis 819

    Table 5. Properties of the Catalyst and Pilot-plant Scale Reactor

    Catalyst

    Density (kg/m3) 1783.5

    Porosity (%) 45.53

    Pore tortuosity 1.69

    Mass (kg) 7.85

    Pellet diameter (m) 0.006

    Reactor

    Tube diameter (m) 0.03

    Length (m) 1.6

    Tube number 7

    lation (10) for the estimation of the tube side heat trans-

    fer coefficient [20].

    Simulation of the Reactor

    Equation (11) is used to calculate the mass flowrate pro-

    file in the tube of the reactor [25,26].

    (11)

    In order to solve the above ODE, the axial length of the

    reactor tube is divided into 1000 sections. First, the re-

    action rates are calculated with the use of the correlations

    listed in the reaction kinetics section. For this calculation,

    the heat and mass transfer on the surface of the catalyst

    described in the Heat and Mass Transfer on the surface

    of the catalyst section and the effectiveness factor de-

    scribed in the Effectiveness factor section are incorpo-

    rated in order to reflect their effects on the reaction rates.

    Then, the correlations of the Heat transfer between tubes

    and shell section are used for the calculation of the re-

    actor temperature in each section. Iterative procedures

    for determining the temperature and reaction rates in

    each section are necessary, as the temperature and re-

    action rates are inter-dependent. After determining the

    temperature in the section of the tube, the mass balance

    in each section is calculated using Equation (11) and then

    the simulation is allowed to proceed to the next step.

    We used the following correlations to evaluate the re-

    actor performance, such as the CO conversion, DME

    Yield and DME productivity:

    COconversion =COin -COout

    × 100COin (12a)

    DMEyield =DMEout ×2

    × 100COin - COout (12b)

    DMEproductivity =DMEout

    mass of catalyst (12c)

    Figure 1. Reaction rate of CO2 hydrogenation and water gas

    shift in methanol synthesis catalyst.

    Results and Discussion

    Using the simulator we developed, behavior of a pi-

    lot-scale DME reactor was studied. Base condition of the

    reactor for simulation is as follows: GHSV 2000 hr-1,

    feed temperature 240oC, reactor pressure 50 bar, H2 : CO

    ratio 2:1, inlet temperature of cooling water 210oC. We

    compared reactor performance in two cases of mixture of

    pellets and hybrid catalyst as we changed values of pa-

    rameters such as feed temperature, GHSV (Gas Hourly

    Space Velocity), H2:CO ratio in the feed gas, reactor

    pressure and ratio of methanol synthesis catalyst to meth-

    anol dehydration catalyst affecting the behaviour of the

    reactor. The properties of the catalyst and the information

    concerning the pilot-plant scale reactor are shown in

    Table 5.

    Reaction Rates Analysis in the Catalyst Pellet and Ef-

    fectiveness Factor Analysis Along the Length of Reac-

    tor

    The simulator evaluates effectiveness factor of the cata-

    lyst pellet by solving mass balance equations for pore

    diffusion and chemical reactions within the catalyst

    pellet. Figures 1 and 2 show profiles of reaction rates

    within catalyst pellets for the case of mixture of pellets.

    In this case catalyst pellets for the synthesis of methanol

    from syngas (CuO/ZnO/Al2O3, 6 mm pellets for reaction

    1 and 2) and catalyst pellets for the synthesis of DME by

    dehydration of methanol (γ-alumina, 7.7 mm pellets for

    reaction 3) are present as a mixture inside the reactor

    tubes. We used reaction conditions at entrance zone of

    the reactor and can observe strong influence of pore dif-

    fusion on reaction rate. Reaction rate of water gas shift

    decreased in core part of a catalyst pellet due to strong

    effect of diffusion, i.e., paucity of available reactants.

  • Daesung Song, Wonjun Cho, Dal Keun Park, and En Sup Yoon820

    Figure 2. Reaction rate of methanol dehydration in methanol

    dehydration catalyst.

    Figure 3. Reaction rate of CO2 hydrogenation, water gas shift

    and methanol dehydration in hybrid catalyst.

    But, reaction rates of methanol synthesis showed max-

    imum value in the region about 2 mm from the catalyst

    surface. It was caused by CO2 increase from water gas

    shift reaction. Note that methanol dehydration occurs on-

    ly on the methanol dehydration catalyst in the case of

    mixture of pellets. Thus, Figure 2 shows effects of pore

    diffusion on reaction rate.

    However, quite a different picture emerges in the case

    of hybrid catalyst (Figure 3). Here all three reactions oc-

    cur in the same catalyst pellet. Although reaction rate of

    water gas shift reaction decreases toward the center of

    the catalyst pellet as a result of pore diffusion effects, re-

    action rates of methanol synthesis and methanol dehy-

    dration in the core region of the catalyst pellets are high-

    er than those of near pellet surface. As the reactions (1),

    (a)

    (b)

    Figure 4. Effectiveness factor vs. Reactor location in the case

    of (a) mixture of pellets and (b) hybrid catalyst.

    (2), and (3) involved in the synthesis of methanol and

    DME are interrelated in a complex way including pore

    diffusion, their rates within the catalyst pellet reflect in-

    ter-play of mass transfer and chemical reactions as well

    as variations of species concentration within the catalyst.

    As two cases have different reaction profiles in catalyst

    pellet, we evaluated effectiveness factor for three re-

    actions along the reactor axial distance from the reactor

    entrance.

    Figure 4 shows that lines of effectiveness factor of

    methanol synthesis reaction and water gas shift reaction

    are similar but that of DME synthesis reaction shows a

    clearly different picture. DME is scarcely produced in the

    core part of the catalyst due to pore diffusion effects in

    the case of mixed pellets, but all reactions were active

    showing little effects of pore diffusion in the case of hy-

    brid catalyst. Therefore effectiveness factor for DME

    synthesis reaction is well over 100 % in the entrance

    zone of the reactor since DME is produced lively inner

    catalyst, that for methanol synthesis above 100 % in the

  • Comparison of the Performance of a Fixed Bed Reactor in the Two Cases, Mixture of Catalyst Pellets and a Hybrid Catalyst, for Dimetyl Ether Synthesis 821

    (a) (b)

    Figure 5. Flow rate and temperature profile in the fixed bed reactor for DME synthesis (in the case of mixture of pellets: 80 % meth-

    anol synthesis catalyst, 20 % methanol dehydration catalyst).

    (a) (b)

    Figure 6. Flow rate and temperature profile of the reactor filled by hybrid catalyst (methanol synthesis catalyst component 80 %).

    entrance zone of the reactor and that for methanol syn-

    thesis increases to around 100 % as that of water gas

    shift reaction increases to around 150 %. Besides effec-

    tiveness factor for DME synthesis reaction in the hybrid

    catalyst is always above 50 % after the entrance zone of

    the reactor, whereas that for DME synthesis reaction in

    the mixed catalyst is around 25 % (Figure 4).

    Comparison of Flow Rate and Temperature Profile

    Figure 5 shows reactor behaviour for the case of mix-

    ture of pellets. It shows the temperature of reactant

    stream rises rapidly (240 to 303oC) and then falls slowly

    as it moves down through reactor tube. It means chem-

    ical reactions in the entrance region of the reactor are

    very fast due to high concentration of reactants. In the

    case of mixture of catalyst pellets CO conversion is 27.1

    % and DME productivity is 51.8 kg/D.

    Reactor performance for hybrid catalyst is shown in

    Figure 6. In this case, hybrid catalyst consists of meth-

    anol synthesis component and methanol dehydration

    component whose ratio is 8:2. Maximum temperature in

    the reactor is 343oC, higher than that of mixture of cata-

    lyst pellets, 303oC (Figure 5). In this case, CO con-

    version is 40.2 %, DME productivity is 313.8 kg/D,

    higher than that of mixture of pellets. In hybrid catalyst

    active sites for methanol synthesis and methanol dehy-

    dration coexist thereby realizing synergy effects of their

    proximity.

  • Daesung Song, Wonjun Cho, Dal Keun Park, and En Sup Yoon822

    (a) (b)

    Figure 7. Effects of feed temperature on the reactor performance in the case of (a) mixture of pellets and (b) hybrid catalyst.

    (a) (b)

    Figure 8. Effects of GHSV on the reactor performance in the case of (a) mixture of pellets and (b) hybrid catalyst.

    In the case of mixture of pellets it seems that the dis-

    tance between catalysts is too large to realize synergy

    effects. As we notice in Figures 5 and 6, maintaining uni-

    form temperature along the reactor length is not a trivial

    problem due to highly exothermic nature of the reactions

    involved in DME synthesis even with shell and tube type

    reactor design.

    Effects of feed temperature

    The effect of feed temperature within the range of 230

    300∼oC in case of mixture of pellets is shown in Figure

    7 (a). This shows that the higher the feed temperature,

    the better DME productivity could be obtained due to the

    thermal effect on the kinetics. But CO conversion is

    around 27 %. And DME productivity is highest at feed

    temperature of 300oC. Figure 7(b) shows that of the hy-

    brid catalyst. DME yield and DME productivity is almost

    same within the range of 240 300∼oC. Since reactions

    are accelerated rapidly by high temperature and synergy

    effects in catalyst in the entrance region of the reactor,

    the temperature becomes higher. But overall performance

    of the reaction is similar since water gas shift reaction

    and methanol synthesis reaction are slow over 320oC.

    Effects of GHSV (Gas Hourly Space Velocity)

    The effect of GHSV within the range of 800 4800 in∼

  • Comparison of the Performance of a Fixed Bed Reactor in the Two Cases, Mixture of Catalyst Pellets and a Hybrid Catalyst, for Dimetyl Ether Synthesis 823

    (a) (b)

    Figure 9. Effects of H2:CO ratio in the feed gas on the reactor performance in the case of (a) mixture of pellets and (b) hybrid

    catalyst.

    case of mixture of pellets is shown in Figure 8(a). At low

    value of GHSV residence time in the reactor is large, so

    CO conversion and DME yield are high. But feed rate is

    small with low GHSV, and productivity can be small as

    well (See Figure 8(a)). On the other hand, at high value

    of GHSV residence time is small, so conversion and

    yield are low. Therefore, there is an optimum value of

    GHSV for the maximum DME productivity. Figure 8(a)

    shows DME productivity is largest when GHSV is 1600

    within the GHSV range of 800 4800. The effect of∼

    GHSV within the range of 800 4800 in case of hybrid∼

    pellets is shown in Figure 9(b). It has similar pattern with

    the case of mixed pellets but the decreased degree is

    small within the range of 1600 4800 due to synergy ef∼ -

    fect of hybrid catalyst although residence time is short.

    Figure 9(b) shows DME productivity is largest when

    GHSV is 2800 within the GHSV range of 800 4800.∼

    Effects of Feed Composition (H2 : CO ratio)

    The ratio of H2 : CO in syngas varies depending on the

    feed stock to reforming and post-treatment of syngas. We

    studied the effects of H2 : CO ratio in the feed gas on the

    reactor performance by varying its value within the range

    1 3.0. When the ratio is low, CO∼ 2 hydrogenation de-

    creased. This causes to produce not enough water for wa-

    ter gas shift reaction, thereby decreasing reaction rate of

    the latter. CO conversion increases with the H2 : CO

    ratio. But due to excess water, methanol dehydration de-

    creases at higher

    H2 : CO ratio. The overall result is that DME pro-

    ductivity is about the same for the H2 : CO ratio of 1.5∼

    2.3 (Figure 9(a)). Figure 9(b) shows analogous pattern in

    the case of hybrid catalyst but the decreased degree is

    small within the region 1 1.3. The reason is that meth∼ -

    anol dehydration reaction is increased by synergy effect

    of hybrid catalyst from the entrance region of the reactor

    and this makes enough water which accelerates water gas

    shift reaction. Thereby all reactions are accelerated. On

    the other hand, methanol synthesis reaction is accelerated

    within the region 2 3 and this makes too much water∼

    which causes to decrease methanol dehydration. The

    overall result is that DME productivity is about the same

    for the H2 : CO ratio of 1.3 to 2.0 (Figure 9(b)).

    Effects of Reactor Pressure

    Figure 10(a), (b) shows the effects of reactor pressure.

    As gas volume decreases with the synthesis of DME

    from syngas, higher pressure favours the reaction.

    Therefore DME synthesis is practised at high pressures.

    Within the range 40 100 bar DME productivity was∼

    best at 100 bar. We just see the difference of the per-

    formance by synergy effect by hybrid catalyst.

    Effect of the Ratio of Methanol Synthesis Catalyst to

    Methanol Dehydration Catalyst

    The effects of the ratio of methanol synthesis catalyst to

    methanol dehydration catalyst are shown in Figure 11(a).

    Note that the mixture of two different catalyst pellets is

    used and the ratio can be varied at will. With too little

    methanol synthesis catalyst methanol synthesis catalyst

    DME production capability (i.e., methanol dehydration)

    cannot be fully utilized due to limited supply of metha-

    nol. On the other hand reaction rate of methanol dehy-

    dration will not be sufficient to process methanol in the

  • Daesung Song, Wonjun Cho, Dal Keun Park, and En Sup Yoon824

    (a) (b)

    Figure 10. Effects of reactor pressure on the reactor performance in the case of (a) mixture of pellets and (b) hybrid catalyst.

    (a) (b)

    Figure 11. Effects of methanol synthesis catalyst to methanol dehydration catalyst ratio on the reactor performance in the case of (a)

    mixture of pellets and (b) hybrid catalyst.

    case of too little dehydration catalyst in the reactor.

    Figure 11(a) shows that DME productivity is best when

    the reactor filled with 50 % methanol synthesis catalyst

    and 50 % methanol dehydration catalyst. Figure 11(b)

    shows the effects of composition of hybrid catalyst on

    the reactor performance. Comparing this with Figure

    11(a), we can notice that hybrid catalyst is much better

    than mixture of pellets with regards to the reactor perfor-

    mance. Optimum ratio of catalyst components in this

    case is also 50 : 50. The variation within the range of ra-

    tio 0.3 0.4 and 0.6 0.8 is small since methanol dehy∼ ∼ -

    dration is accelerated by hybrid catalyst from the en-

    trance region of the reactor and it makes enough water

    which cause to accelerate water gas shift reaction.

    Thereby methanol synthesis reaction is accelerated again.

    Conclusion

    In this work we developed a simulator of a shell and

    tube type pilot-scale fixed bed reactor for single-step

    DME synthesis from syngas, applying the one-dimen-

    sional heterogeneous model under steady state. We ex-

    amined behaviour of the reactor at various conditions for

  • Comparison of the Performance of a Fixed Bed Reactor in the Two Cases, Mixture of Catalyst Pellets and a Hybrid Catalyst, for Dimetyl Ether Synthesis 825

    the case of mixture of pellets and hybrid catalyst. We

    found that complex reactions coupled with pore diffusion

    within the catalyst pellet affects can show unusual values

    of effectiveness factor. Employing hybrid catalyst yield-

    ed higher productivity compared with using mixture of

    catalyst pellets. But, we have to take extra care about re-

    action heat and more careful cooling of reactor is needed

    as more reaction heat is released near reactor entrance.

    When we compared with mixed pellets with regards to

    effects of parameters such as feed temperature, GHSV

    (Gas Hourly Space Velocity) H2/CO ratio, feed pressure

    and the ratio of methanol synthesis catalyst pellets, syn-

    ergy effects of hybrid catalyst contributed to change the

    performance of the reactor more smoothly.

    Acknowledgments

    Support of KOGAS (Korea Gas Corporation) and BK21

    (Brain Korea21) for this study is gratefully acknow-

    ledged.

    Nomenclature

    AP : Surface area of the catalyst, m2

    At : External surface area of the tubes, m2

    CAo.i : Concentration of component i in reactants

    fluid, kmol/m3

    Co,i : Concentration of component i on the cata-

    lyst surface, kmol/m3

    Cpg, Cpfluid : Specific heat of fluid, cal/mol K⋅

    Cps, Cpw : Specific heat of particles at the surface

    and of cooling water, cal/mol K⋅

    dHr,ΔHr : Heat of reaction, kJ/mol

    dp : Particle diameter, m

    DAB : Binary diffusivity of gas, cm2/s

    Deff,i : Effective diffusivity of component i with-

    in a catalyst pellet, m2/h

    Di, Do : Tube inside and outside diameter, m

    DL : Equivalent diameter of a tube, m

    Fi : the molar flow rate of species i, kmol/h

    gcat1, gcat2 : Mass of the MeOH synthesis catalyst and

    the MeOH dehydration catalyst, g

    hdi, hdo : Fouling resistance of a tube side and a

    shell side at heat transfer, kJ/h m2K

    hi, ho : Film coefficient at a tube inside and out-

    side, J/m2

    h⋅ ⋅oC

    hp : Film coefficient at heat transfer on a cata-

    lyst pellet, J/m2

    h⋅ ⋅oC

    hpacket : Film coefficient in a packet, J/m2

    h⋅ ⋅oC

    hr : heat transfer coefficient for a radiation,

    J/m2

    h⋅ ⋅oC

    keo, k

    oew : effective thermal conductivity at the fixed

    bed and the wall region, J/m h⋅ ⋅oC

    kg : Fluid thermal conductivity, J/m h⋅ ⋅oC

    ki : Reaction rate constants

    km, ks : Heat conductivity of a wall and a particle,

    J/m h⋅ ⋅oC

    Ki, Keqm,j : Adsorption constant and Equilibrium con-

    stant of reaction j

    L : the height of the bed, m

    mf : Mole flow rate of the fluid in the tube, g-

    mol/h

    nc, nr : Number of components and reactions

    Nnu : Nusselt number

    Npr : Prandtl number

    NResph : Particle Reynolds number

    Δp : The pressure drop, bar

    Pi : Partial pressure of components i

    r : Radial distance in the catalyst, m

    ri : Reaction rate of i reactions, mol/gcat h⋅

    rMS : Reaction rate of the methanol synthesis re-

    action, mol/gcat h⋅

    rRWGS : Reaction rate of the reverse water gas shift

    reaction, mol/gcat h⋅

    rWGS : Reaction rate of the water gas shift re-

    action, mol/gcat h⋅

    rMD : Reaction rate of the methanol dehydration

    reaction, mol/gcat h⋅

    rj : reaction rate of the j th reaction, mol/gcat h⋅

    R : Gas constant, 8.314 J/mol K⋅

    RP : Particle radius, m

    Tf : Fluid Temperature, K

    To, Tp : Temperature of cooling water and cata-

    lyst, K

    TΔ f : Temperature difference of fluid, K

    uo : Volumetric average fluid velocity, m/s

    Uo : Overall heat transfer coefficient, J/m2

    h⋅

    oC

    xw : thickness of a wall, m

    Greek letters

    ε : The void space of the bed.

    εmf,εw : The void fraction at the minimum fluidiz-

    ing bed and at the wall layer

    øw : Ratio of effective thickness of gas film

    around a contact point to particle diameter

    for contact between particle and surface

    øb : Ratio of effective thickness of gas film

    around a contact point to particle diameter

    for contact between adjacent particles

    ηj : Effectiveness factor of j reaction

    ηMS : Effectiveness factor of the methanol syn-

    thesis reaction

    ηWGS : Effectiveness factor of the water gas shift

    reaction

    ηMD : Effectiveness factor of the methanol dehy-

  • Daesung Song, Wonjun Cho, Dal Keun Park, and En Sup Yoon826

    dration reaction

    μ,μa : Dynamic viscosity and absolute viscosity,

    kg/m h⋅

    ρ,ρg : Fluid density, kg/m3

    ρb : Bulk density of the bed, kg/m3

    ρp,ρp1,ρp2 : Particle density of hybrid catalyst, MeOH

    synthesis catalyst and MeOH dehydration

    catalyst, g/m3

    ρw : Cooling water density, kg/m3

    ν : Fluid line velocity, m/s

    νw : Cooling water line velocity, m/s

    τt : Residence time, h

    γi,j : Stoichiometric coefficient of the i th com-

    ponent in the j th reaction

    References

    1. Troy A. Semelsberger, Rodney L. Borup, and

    Howard L. Greene, J. Power Sources, 156, 497

    (2006).

    2. M. Alam, O. Fujita, and K. Ito, J. Power Energy,

    218, 89 (2004).

    3. S. C. Sorenson, J. Eng. Gas Turbines Power-Trans,

    123, 652 (2001).

    4. A. M. Rouhi, AMOCO, Chem. Eng., News., 73, 37

    (1995).

    5. T. H. Fleisch, A. Basu, M. J. Gradassi, and J. G.

    Masin, Stud. Surf. Sci. Catal., 107, 117 (1997).

    6. E. W. Kaiser, T. J. Wailington, M. D. Hurley, J.

    Platz, H. J. Curran, W. J. PITZ, and C. K. Wester-

    brook, J. Phys. Chem. A, 104, 8194 (2000).

    7. J. Song, Z. Huang, X. Q. Qiao, and W. L. Wang,

    Energy Convers. Manage., 45, 2223 (2004).

    8. H. W. Wang and L. B. Zhou, Proc. Inst. Mech. Eng.

    Part D: J. Automobile Eng., 217, 819 (2003).

    9. T. C. Zannis and D. T. Hountalas, Energy Fuels, 18,

    659 (2004).

    10. X. D. Peng, A. W. Wang, B. A. Toseland, and P. J.

    A. Tijm, Ind. Eng. Chem. Res., 38, 4381 (1999).

    11. Kunpeng Sun, Weiwei Lu, Fengyan Qiu, Shuwen

    Liu, and Xianlun Xu, Applied Catalysis A: General,

    252, 243 (2003).

    12. Kohji Omata, Yuhsuke Watanabe, Tetsuo Umegaki,

    Gunji Ishiguro, and Muneyoshi Yamada, Fuel,

    81,1605 (2002).

    13. Wen-Zhi Lu, Li-Hua Teng, and Wen-De Xiao,

    Chemical Engineering Science, 59, 5455 (2004).

    14. Y. Ohno, N. Inoue, T. Ogawa, M. Ono, T. Shikada,

    and H. Hayashi, NKK Technical Review No. 85

    (2001).

    15. K. L. Ng, D. Chadwick, and B. A. Toseland, Chem.

    Eng. Sci., 54, 3587 (1999).

    16. K. M. Vanden Busshe and G. F. Froment, J.

    Catalyst, 161, 1 (1996).

    17. Gorazd Bercic and Janez Levec, Ind. Eng. Chem.

    Res, 31, 1035 (1992).

    18. Martyn V. Twigg, Catalyst Handbook, 2nd Edn.

    Wolfe, London (1986).

    19. Daniel R. Stull, Edgar F. westrum. Jr, and Gerard C.

    Sinke, The Chemical Thermodynamics of Organic

    Compounds, John Wiley, New York (1969).

    20. Daizo Kunii and Octave Levenspiel, Fluidization

    Engineering, 2nd Edn. Butterworth-Heinemann,

    Boston (1990).

    21. James R. Welty, Charles E. Wicks, and Robert E.

    Wilson, Fundamentals of momentum, heat and mass

    transfer, 3rd Edn. Wiley, New York (1976).

    22. Cengel, Heat transfer a practical approach, McGraw-

    Hill, Boston (1998).

    23. Charles N. Satterfield, Mass Transfer in Heterogen-

    eous Catalysis, M.I.T. Press, Cambridge (1970).

    24. Warren L. McCabe, Julian C. Smith, and Peter

    Harriott, Unit Operations of Chemical Engineering,

    5th Edn. McGrawHill, New York (1995).

    25. J. M. Riggs, An introduction to numerical methods

    for chemical engineers, Texas Tech University

    Press, Lubbock (1994).

    26. Z. H. Stachurski, J. Ind. Eng. Chem., 6, 773 (2005).