The role of kinetics, adsorption capacity, and heat and mass transfer effects in the sorption enhanced dimethyl ether synthesis (SEDMES) is investigated by means of a 2D+1D model of a single tube of an industrial-scale, externally cooled, multitubular reactor that simulates the reaction/adsorption step of the SEDMES cycle. The effect of the adsorbent/catalyst weight ratio is analyzed, showing that a trade-off between DME productivity and yield originates from the balance of kinetics and adsorption capacity in the reactor tube. The effects of internal diffusion in catalyst particles are shown to have a strong impact on effective reaction rates: significant yield/productivity improvements are obtained when using a mechanical mixture of catalysts with small particle diameters or by rearranging the distribution of the two active phases in hybrid or core@shell pellets. The thermal effects in the reactor, which are increasingly critical upon intensifying the SEDMES process conditions, are also addressed.
The role of kinetics, adsorption capacity, and heat and mass transfer effects in the sorption enhanced dimethyl etherpan> synthesis (SEDMES) is investigated by means of a 2D+1D model of a single tube of an industrial-scale, externally cooled, multitubular reactor that simulates the reaction/adsorption step of the SEDMES cycle. The effect of the adsorbent/catalyst weight ratio is analyzed, showing that a trade-off between DME productivity and yield originates from the balance of kinetics and adsorption capacity in the reactor tube. The effects of internal diffusion in catalyst particles are shown to have a strong impact on effective reaction rates: significant yield/productivity improvements are obtained when using a mechanical mixture of catalysts with small particle diameters or by rearranging the distribution of the two active phases in hybrid or core@shell pellets. The thermal effects in the reactor, which are increasingly critical upon intensifying the SEDMES process conditions, are also addressed.
Dimethyl etherpan> (DME), widely used as propellant and intermediate
for the production of chemicals, is also a strategic alternative synfuel.[1,2] It can be obtained from synthesis gas produced by reforming/gasification
of both fossil fuels (natural gas, coal)[2,3] and renewable
sources such as biomass[4−6] and urban waste.[7] Alternatively,
DME can be synthesized via CO2 hydrogenation, a route of
growing interest within the carbon dioxide capture and utilization
(CCU)[8−10] technologies, where green H2 obtained
from renewable energy is used.The direct synthesipan>s of DME,
requiring an intimate combination
of a metallic methanol synthesis catalyst, typically Cu/ZnO/Al2O3 (CZA),[11] with an
acidic dehydration catalyst (γ-Al2O3,
zeolites, or heteropolyacids)[12−14] within a single reactor, is widely
investigated in the available literature.[13,15−22] The reactions involved in the process are the following (eqs –4):Compared with the two-stage
indirect process, the direct synthesis of DME takes advantage of the
thermodynamic synergy of methanol synthesis and dehydration processes:[19,20] the methanol produced by CO hydrogenation
(eqs and 3) is converted via dehydration to DME (eq ), whereas part of the water produced from reactions and 4 is consumed by watergas shift (WGS) (eq ).However, with syngaspan> streams rich
in CO2, a large production
of water occurs, which significantly hinders thermodynamically and
kinetically the process, thus lowering the syngasconversion and DME
yield per passage[20,21] and deactivating both the CZA
catalyst[19,23,24] and the γ-Al2O3.[25]The in sipan>tu
reactive steam removal is a possible solution to the
issues related to the excess water production in the processes for
CO2 valorization.[26] The in situ
water removal can be obtained by using either permselective membranes[26−32] or sorbent materials.[26,33−38] In the case of direct DME synthesis, high DME selectivity (>95%)
can be obtained with both these technologies. The reactive membrane
permeation can be advantageous since it does not require a periodic
regeneration of the sorbent material, allowing for continuous operation.
However, in the case of direct DME synthesis, the reactive adsorption
may be preferred since the pressure gradient is the driving force
of permeation and low partial pressure of water is required for an
effective performance enhancement.[26]De Falcopan> et al.[31] reported that a DME
yield of 75% can be obtained with a membrane reactor configuration
for an optimized case with an operating pressure of 70 bar. Comparable
performances are obtained at 30 bar using the reactive steam adsorption.[39−41] In this process configuration, also known as sorption enhanced DME
synthesis (SEDMES), the two catalysts (methanol synthesis and dehydration)
used for the direct DME synthesis are mixed with a selective wateradsorbent such as LTAzeolite 3A or 4A.[42−45] The resulting lumped stoichiometries,
considering CO and CO2 as carbon sources, and the corresponding
reaction enthalpies evaluated assuming a water adsorption enthalpy
of ΔHads = −46.0 kJ/mol,[44] are reported in eq and 6, respectively.SEDMES is an intrinsically cyclic process
in which the adsorption/reaction step is followed by a regeneration
phase, required to remove the water stored in the adsorbent material.[39,46]This process was investigated both experimentally[24,26,39,46−48] and theoretically,[46,49,50] demonstrating the potential of effectively improving
the syngaspan> conversion and the DME selectivity with respect to the
conventional DME direct synthesis. Van Kampen et al.[46] simulated the entire SEDMES cycle using a 1D reactor model,
analyzing the effects of the process parameters (temperature, pressure,
composition, space velocity, adsorbent/catalyst ratio) and the regeneration
methods on the cycle performances. The results provide some general
guidelines on the choice of operating conditions in SEDMES, displaying
the role of reaction kinetics and adsorption capacity on the process
performances. By comparing isothermal and adiabatic simulations, temperature
control is identified as a critical issue, showing that the negative
thermodynamic effect of increasing the temperature drastically reduces
the DME yield.Thermal effects were investigated in detail in
a previous paper
from our group[50] by means of a 2D+1D model
of a multitubular, externally copan>oled, industrial-scale SEDMES reactor,
which was validated against experimental data. The model simulates
the behavior of a SEDMES reactor during the adsorption/reaction step
of a pressure swing adsorption (PSA) cycle, well capturing the outlet
concentration and temperature profiles measured in the experimental
test. The effects of both the CO/CO2 ratio in the feed
and the tube diameter were analyzed, showing that, thanks to the catalyst
dilution with the adsorbent, the maximum thermal stresses are moderate
with respect to the conventional DME synthesis,[17,22,51] despite the additional heat released by
water adsorption.In this work, the modeling analysipan>s of SEDMES
full-scale reactors
is extended by focusing on the role of the solid materials in the
reactor: the adsorbent (zeolite 3A) and the catalysts (CZA and γ-Al2O3). The two main competing factors determining
the SEDMES process performances are indeed the capacity of the system
to remove water by adsorption and the rate of DME production. Once
the operating conditions as temperature and pressure are fixed, the
adsorption capacity and reaction kinetics can be managed by acting
on the regeneration methods, on the time-design of the regeneration
cycle and on the adsorbent/catalyst ratio.[39,46] The effect of this latter parameter is addressed in the present
analysis, considering its kinetic and thermodynamic consequences and
their impact on the thermal behavior of the reactor. In addition,
the effect of the active phase distribution at the pellet scale is
investigated to address the impact of the intraparticle diffusion
limitations in catalyst pellets, which were shown to markedly affect
kinetics, and consequently the reactor performances in direct DME
synthesis.[51−55]
Methods
SEDMES Reactor Model
A 2D heterogeneous
dynamic model of a SEDMEpan>S reactor, originally developed and validated
for a mechanical mixture of methanol synthesis and dehydration catalysts
and the adsorbent,[50] is adopted in this
work. The model describes a single tube of an externally cooled multi
tubular fixed bed reactor packed with pellets of LTAzeolite 3A adsorbent
and two k-catalyst phases: CZA methanol (MeOH) synthesis catalyst
and γ-Al2O3methanoldehydration to DME
catalyst (DME). The model includes 2D total mass and energy balances
for the gas phase and 2D i-species (i = CO, CO2, H2, H2O, CH3OH, DME, N2) mass balances for the gas phase as well as
for catalyst and adsorbent solid phases (Tables and 2). Pressure
drops are neglected because of the low gas velocities considered (<0.03
m/s). The dynamic reactor model is coupled with pseudostationary i-species 1D mass balances within the catalyst pellets (Table ), which account for
the intraparticle diffusion limitations.
Table 1
2D Reactor
Model Mass Balance Equations
Table 2
2D Reactor Model Energy Balance Equations
Table 3
1D Pellet Model Mass Balances
Pellet i-Species Mass Balances
mechanical mixture (for each k-catalyst phase, k = MeOH, DME)
hybrid
and core@shell
for hybrid
for MeOH@DME
for DME@MeOH
Average Reaction Rates and i-Species
Catalyst Concentration
Pellet Mass Balance Boundary Conditions
The model
is herein extended in order to accopan>unt for different
catalyst pellet configurations (Figure ): mechanical mixture, hybrid, MeOH@DME, and DME@MeOH.
In the mechanical mixture configuration, CZA pellets (brown in Figure ) for methanol synthesis
are mixed with γ-Al2O3 pellets (gray in Figure ) for methanoldehydration.
The hybrid pellet is a configuration with the catalytic materials
interdispersed inside the same particle, creating a homogeneous active
phase distribution.[56] The core@shell configurations
instead, consist in the layering of the methanol synthesis and dehydration
active phases in a single pellet.[51,54,55,57−66] In the case of MeOH@DMEconfiguration, the CZA catalyst core (brown)
is surrounded by a shell of γ-Al2O3, (gray),
whereas in the DME@MeOH, the core and the shell formulations are inverted.
Catalyst
pellet copan>nfigurations sketch. Brown, CZA (MeOH) catalyst;
gray, γ-Al2O3 (DME) catalyst.The main changes herein introduced with respect to the original
model are related to the presence of only one type of catalyst pellet
in hybrid and <pan class="Chemical">span class="Chemical">core@shell (two types of catalyst pellets are present
in the mechanical mixture) and in the different distribution of <sppan>an class="Chemical">MeOH
and DME active phases within the particles in these configurations,
accounted for by the parameter ψcat(x) (see Table ). More details on this aspect are reported
in a previously published paper,[51] describing
a similar analysis for the conventional direct DME synthesis.
Transport Correlations, Physical Properties,
Reaction Kinetic Scheme, and Adsorption Isotherm
Diffusipan>vities,
as well as mass and heat transport coefficients, are calculated using
literature correlations (Supporting Information S1), whereas physical and chemical properties (molecular weight,
specific heat, density, viscosity, and thermal conductivity) of the
reacting mixture are calculated using the gPROMS Multiflash 4.3 utility tool. The solid phases physical properties, taken from,[43,46,67−69] are reported
in Table , with densities
depending on the solid type and conductivity and specific heat capacity
fixed to typical values for porous ceramics.
Table 4
Physical
Properties of Solid Phases
parameter
value
unit
ρMeOH
1712
kg/m3
ρDME
1285
kg/m3
ρads
1200
kg/m3
Cp,s
960
J/(kg K)
λs
0.22
W/(m K)
ΔHads
–45.95
kJ/molH2O
The reactions
copan>nsidered in the kinetic scheme are (1) methanol
synthesis from CO, (2) reverse WGS (at SEDMES condition the shift
reaction proceeds reversely due to the low fraction water), (3) methanol
synthesis from CO2, and (4) methanoldehydration to DME.
The rate expressions associated with the CZA methanol synthesis catalyst
(eqs –32) are taken from Graaf et al.,[70] whereas the rate law for methanoldehydration to DME (33)
is taken from Ng et al.[71]Kinetic parameters taken from the literature
are reported in Supporting Information S2 together with the equilibrium constants (Keq,1–Keq,4).[72,73] According to the results of the model validation carried out in
a previous work,[50] a multiplicative factor
of 5 is applied to the CO hydrogenation
reaction rates and a factor of 7.5 to the reverse WGS calculated with eqs and 32 and eq ,
respectively. This is reasonable, as the CZA catalyst are found to
have higher activity in standard methanol synthesis conditions,[67] and the catalyst is even more active in SEDMES
operating conditions because of the very low concentration of water
secured by in situ adsorption.[47]The catalyst pellets are homogeneously mixed with the <span class="Gene">LTApan> <span class="Chemical">zeolite
3A particles, which selectively adsorb <span class="Chemical">water. The adsorption kinetic
is calculated considering the linear driving force approximation (see
eq 16 in Table ).
A Langmuir–Freundlich isotherm model (eq ) is used in the simulations, using the parameters
proposed by Gabruś et al.[44]The
adsorption isotherm parameters are reported
in Supporting Information S3.
Numerical Solution Scheme
The SEDMEpan>S
reactor model equations, together with physical and transport correlations,
rate expressions, and adsorption isotherm equations, are implemented
in gPROMS software for the numerical solution. A
standard differential-algebraic equation system solver based on an
implicit backward differentiation formula (BDF) with variable time
step and variable order is used for time integration. The integration
time step of BDF is automatically adjusted by the gPROMS algorithm in accordance with a maximum local error criterion, whereas
the integration order changes between one (corresponding to an implicit
Euler) to four. The first-order backward finite difference method
(BFDM) is used for the discretization of the axial reactor coordinate,
whereas third-order orthogonal collocations on the finite elements
method (OCFEM) are used for the radial and the pellet coordinates.
An equi-spaced grid of 60 discretization points is used along the
reactor axial coordinate, with two finite elements for the reactor
radial coordinate. The pellet coordinate is discretized using two
finite elements collocations in mechanical mixture and hybrid pellet
cases, whereas two elements are used for the core and two for the
shell in the core@shell cases. The adequacy of the number of discretization
points and finite elements is checked by a convergence analysis.
Simulation Input Variables
The geometrical
and operating copan>nditions input parameters used are reported in Table . An industrial scale
multitubular fixed bed reactor externally cooled by boiling water
with 6 m length and 38 mm diameter tubes is considered. The reactor
operates at 25 bar with 523 K as the gas inlet and coolant temperature
and a gas hourly space velocity (GHSV), referred to the total catalyst
volume, of 805 h–1. The inlet gascomposition (Table ) has a module M = (H2 – CO2)/(CO + CO2) = 2, which is the thermodynamic optimum for the SEDMES process,[26] and a ratio CO/CO2 = 1. A CZA/γ-Al2O3 ratio of 1/1 w/w is assumed as a typical value
in SEDMES process.[24]
Table 5
Geometrical Parameters and Operating
Conditions of the Reactor Tube
variable
value
unit
Lt
6
m
dt
3.8 × 10–2
m
ρbed
800
kg/m3
MeOH/DME catalyst ratio
1/1
kg/kg
Tg0
523
K
Tcool
523
K
P0
25
bar
GHSVcat
805
h–1
Table 6
Inlet Feed Composition
species
molar %
CO
13.4
CO2
13.4
H2
66.9
N2
6.3
A reaction/adsorption time of t = 3600 s is taken
as a reference value.[50] At time zero, the
reactor is filled by a purge gaspan> containing 98.5% N2 and
1.5% H2 at 25 bar and 523 K uniform temperature. The water
load profile at time zero q0 is evaluated
by simulating 5400 s of purging with an inert N2 stream
at 1.5 bar, a specific molar flow rate of 18.6 mol/(m2 s),
and wall temperature of 523 K, for a reference case, corresponding
to the mechanical mixture with a 4/1 w/w adsorbent/catalyst ratio.[50]
Results and Discussion
The reactor performances are assessed by copan>nsidering as indicators:
(i) the time evolution of the specific outlet DME flow rate and the
correspondent DME normalized flow rate F*C→DME = 2FDME,out/(FCO,in + FCO); (ii)
the DMEcarbon yield and productivity, and (iii) the CO2 outlet molar fraction and conversion. It is worth noticing that,
because the regenerations steps are not simulated, only approximated
DMEcarbon yield (YDME), DME productivity
(ProdDME), and CO/CO2conversion (ConvCO) can be calculated
according to eqs –37, assuming that the reactions are kinetically frozen
(rate = 0) at the end of the reaction/adsorption step and that all
products present in the reactor tube are recovered during the blowdown.The other key parameter considered in the
analysis is the envelope of maximum temperatures, which is the profile
of the highest temperature reached in each axial position during the
entire adsorption/reaction step. This parameter is used as indicator
of the thermal stresses that must be controlled in order to prevent
CZA catalyst deactivation.
Effect of Adsorbent/Catalyst
Ratio
The adsorbentpan>/catalyst ratio is a crucial parameter
in SEDMES, which
governs the trade-off between the adsorption capacity of the system
and the kinetics of DME production. A lack of adsorbent reduces the
water removal capacity, a more frequent regeneration is required,
thus increasing the operational and equipment costs. On the other
hand, a lack of catalyst kinetically limits the process, decreasing
the productivity per unit volume of the reactor.[46]The effect of adsorbentpan>/catalyst weight ratio is
investigated in the range between 2/1 and 16/1 w/w considering a mechanical
mixture configuration with catalyst pellet diameter dp = 3 mm and adsorbent pellet diameter dpe = 3.2 mm. Simulations are performed at constant GHSV
(805 h–1) referred to the catalyst volume: the corresponding
specific molar flow rate (Ftot) based
on the tube cross section, that changes depending on the adsorbent
to catalyst ratio, is reported in Table .
Table 7
Specific Molar Flow
Rate As a Function
of the Adsorbent/Catalyst Weight Ratio
ads/cat ratio(kg/kg)
Ftot (mol/m2/s)
2/1
17.7
4/1
10.4
8/1
5.7
16/1
3.0
The
time evolution of outlet DMEpan> specific flow rate is reported
in Figure . The DME
flow rate is null in the first part of the adsorption/reaction step,
since at time zero the reactor is full of inert N2 and
the reactants/products wave takes time before breakthrough. After
the breakthrough, the DME flow rate rapidly raises to a maximum and
then progressively decreases because of the growing H2O
holdup of the adsorbent (Figure a).
Figure 2
Time evolution of outlet DME specific flow rate with different
adsorbent/catalyst weight ratios.
Figure 3
Axial
profile of the cross-sectional average adsorbent water load
(a) as a function of time with an adsorbent/catalyst ratio 2/1 w/w
and (b) at a time of 3600 s for different adsorbent/catalyst weight
ratios.
Time evolution of outlet <span class="Chemical">DMEpan> specific flow rate with different
<span class="Chemical">adsorbent/catalyst weight ratios.
Axpan>ial
profile of the cross-sectional average adsorbentwater load
(a) as a function of time with an adsorbent/catalyst ratio 2/1 w/w
and (b) at a time of 3600 s for different adsorbent/catalyst weight
ratios.Copan>herently with the increasing
specific flow rate used in the simulations,
the peak of the outlet DME flow rate breaks through earlier and grows
higher on decreasing the adsorbent to catalyst ratio. On the other
hand, the decrease in DME flow rate after the peak becomes steeper
on decreasing the adsorbent/catalyst ratio because of the lower adsorption
capacity. This results in a higher water hold-up (Figure b): with a 2/1 w/w ratio, at
3600 s, the outlet DME flow rate decreases to values similar to those
obtained with the 4/1 w/w ratio, whereas with the 16/1 w/w ratio,
after the breakthrough, the outlet DME flow rate keeps almost constant
with time until the end of adsorption/reaction step.Results
in Figure indicate
that the overall amount of DMEpan> produced along the cycle
increases on decreasing the adsorbent catalyst ratio. The DME productivity
values, computed with eq , which also accounts for the DME recovered in the blow down
step, clearly show the extent of productivity increase on decreasing
the adsorbent/catalyst ratio (Figure ).
Figure 4
DME productivity with different adsorbent/catalyst weight
ratios.
<span class="Chemical">DMEpan> productivity with different <span class="Chemical">adsorbent/catalyst weight
ratios.
A different picture is obtained
when normalizing the DMEpan> outlet
flow rate to the amount of feed carbon (Figure ). In this case, the maximum, occurring soon
after the breakthrough, is almost independent of the adsorbent to
catalyst ratio, consistently with a kinetic control at constant GHSV.
The role of the adsorption capacity is evidenced by the steeper decay
of the DME normalized flow rate on decreasing the adsorbent/catalyst
ratio. With 2/1 w/w, the plateau of concentration, corresponding to
the conventional DME direct synthesis equilibrium (without sorption
enhancement), is almost reached at the end of the reaction/adsorption
step because of complete saturation of the water adsorption capacity.
Conversely, almost no decay is observed in the case of 16/1 w/w, thanks
to the oversized adsorbent load.
Figure 5
Time evolution of outlet DME flow rate
normalized with respect
to inlet carbon with different adsorbent/catalyst weight ratios.
Time evolution of outlet DMEpan> flow rate
normalized with respect
to inlet carbon with different adsorbent/catalyst weight ratios.DMEpan> yield calculations according to eq , which also include the blowdown
contribution,
result in a similar trend (Figure ) to that reported in the literature by van Kampen
et al.,[46] with a maximum just above 70%
at 8/1 w/w adsorbent/catalyst ratio. Notably, in the case of 2/1 w/w
ratio, the lack of adsorbent results in a marked DME yield decrease
due to the negative thermodynamic impact of the higher water load
on DME production (as also shown in Figure ). The yield at 16/1 w/w ratio, on the contrary,
is slightly lower than the maximum one because of kinetic effects
associated with the thermal behavior described in the following.
Figure 6
DME carbon
yield with different adsorbent/catalyst ratios.
<span class="Chemical">DMEpan> <span class="Chemical">carbon
yield with different <span class="Chemical">adsorbent/catalyst ratios.
Another important performance parameter to be copan>nsidered is the
outlet molar fraction of CO2. The SEDMES is indeed a process
that might be adopted for carbon dioxide valorization:[26] the conversion of CO2 is therefore
one of the key targets. Figure shows that, after the breakthrough, the outlet CO2 molar fraction increases faster when the adsorbent to catalyst weight
ratio is smaller. This is due to the negative thermodynamic effect
of the increasing water hold up on the adsorbent. As a result, as
shown in Figure ,
the overall CO2conversion calculated according to eq increases with the adsorbent
to catalyst ratio up to 8/1 w/w and slightly decreases at 16/1 w/w
mirroring the trend calculated for the DME yield.
Figure 7
Time evolution of outlet
CO2 molar fraction with different
adsorbent/catalyst weight ratios.
Figure 8
CO2 conversion with different adsorbent/catalyst weight
ratios.
Time evolution of outlet
<span class="Chemical">CO2pan> molar fraction with different
<span class="Chemical">adsorbent/catalyst weight ratios.
CO2pan> conversion with different adsorbent/catalyst weight
ratios.Finally, thermal aspects can be
analyzed by looking at the envelopes
of m<pan class="Chemical">span class="Chemical">aximum temperatures cal<sppan>an class="Chemical">culated for the different adsorbent/catalyst
ratio (Figure ). Results
obtained in a previous paper by the authors[50] evidenced that the higher exothermicity of SEDMES process compared
with the conventional DME direct synthesis, caused by the additional
heat released by H2O adsorption (see eqs and 6), is compensated
by the catalyst dilution with the adsorbent. This allows to use tube
diameters up to 38 mm with a 4/1 w/w adsorbent to catalyst ratio.[50]Figure shows that the dilution effect increases with the adsorbent/catalyst
ratio, so that the thermal stress of the catalyst is higher for less
diluted beds. However, even with the lowest adsorbent to catalyst
ratio herein considered (2/1 w/w), the temperature level is not that
critical, considering that the maximum temperature is at 552 K, i.e.,
still below both the threshold limits of 553 and 573 K reported in
the literature[23,74] to prevent the deactivation of
CZA catalyst in methanol synthesis conditions. On the other hand,
a very mild profile of the envelope of maximum temperatures is obtained
at the highest adsorbent/catalyst ratios, which limits the reaction
kinetics and is responsible for the decrease in both the DME yield
and the CO2conversion observed in Figures and 8, respectively.
Figure 9
Axial
envelope of maximum local temperatures with different adsorbent/catalyst
weight ratios.
<span class="Chemical">Axpan>ial
envelope of m<span class="Chemical">aximum local temperatures with different <span class="Chemical">adsorbent/catalyst
weight ratios.
As reported in van Kampen et al.,[46] for
an optimal de<span class="Chemical">sipan>gn of the SE<span class="Chemical">DMES process, the productivity vs yield/<span class="Chemical">conversion
trade off evidenced by comparing Figures and 6 needs to be
adjusted by properly setting the cycle regeneration and adsorption/reaction
steps.[39,46]
Effect of Catalyst Pellet
Diameter
The results reported in the previous section show
that the adsorbentpan>/catalyst
ratio controls both the capacity of the system to remove water and
the maximum temperature profile. The other main factor influencing
the SEDMES process is the kinetic of DME production, which is potentially
affected by the diffusion limitation inside the catalyst pellets.
As stated in the introduction, the diffusion limitations occurring
when using the mechanical mixture of different pellets of MeOH and
DME catalysts in the conventional direct DME synthesis significantly
hinder the apparent reaction rates.[51,52,55]Notoriously, the sipan>mplest way to minimize the
internal diffusion limitations consists in reducing the catalyst particle
diameter.[55] In order to check the influence
of diffusion effects on the SEDMES process, the pellet diameter of
both MeOH and DME catalysts is reduced in the following from 3 mm
to 1.5 and 1 mm. Simulations are performed with a 4/1 w/w adsorbent/catalyst
ratio.The time evolution of outlet DMEpan> specific flow rate for
different
catalyst pellet diameters is reported in Figure a. The production of DMEsignificantly increases
on reducing the pellet diameter, evidencing that intraparticle diffusion
limitations have a significant impact on reactor performances also
in SEDMES. The delayed breakthrough occurring on decreasing the diameter
is a consequence of the volumetric flow rate reduction caused by the
gas phase molar contraction associated with the higher production
of DME according to stoichiometries 5 and 6. Upon the maximum, the
outlet flow rate decreases with a slightly steeper slope on decreasing
the pellet diameters, which is due to higher adsorbent hold-up.
Figure 10
Time evolution
of (a) outlet DME specific flow rate and (b) outlet
CO2 molar fraction with different catalyst pellet diameters
and adsorbent/catalyst = 4/1 w/w.
Time evolution
of (a) outlet DMEpan> specific flow rate and (b) outlet
CO2 molar fraction with different catalyst pellet diameters
and adsorbent/catalyst = 4/1 w/w.The gain in terms of overall DMEpan> carbon yield is significant (Table ): the calculated
yield grows from 66.7% with a diameter of 3 mm to 79.7% with a pellet
diameter of 1 mm. Note that at fixed adsorbent/catalyst ratio and
constant GHSV, the DME productivity is strictly proportional to the
yield. The improved effective reaction rates also increase CO and CO2conversions. Specifically,
the carbon dioxide breakthrough is delayed and far less sharp than
in the standard case on decreasing the pellet size (Figure b). The overall CO2conversion increases from 72.1% at dp = 3 mm to 85.3% at dp = 1 mm (Table ).
Table 8
DME Carbon Yield, CO2 and
CO Conversion and DME productivity with
Different Catalyst Pellet Diameters and Different Catalyst Pellet
Configuration (Mechanical Mixture, Hybrid, MeOH@DME and DME@MeOH Core@Shell)
mechanical mixture
hybrid
MeOH@DME
DME@MeOH
ads/cat
kg/kg
1/1
1/1
1/1
1/1
1/1
2/1
1/1
dp
mm
1
1.5
3
3
3
3
3
YDME
%
79.7
76.8
66.6
76.4
70.8
75.2
75.3
ConvCO2
%
85.3
82.5
72.1
80.0
71.2
77.4
81.8
ConvCOx
%
81.4
78.6
68.1
78.4
72.6
76.8
77.5
ProdDME
kg/(h m3)
30.6
29.5
25.6
29.4
27.2
28.9
28.9
On the other hand,
the faster DMEpan> production with small diameter
pellets results in an increase in the temperature level along the
axial coordinate (Figure ). The temperature hot spot in first part of the adsorbent/catalyst
bed becomes significantly more pronounced, coherently with the increment
in reactants conversion. The temperatures reached with dp ≥ 1.5 mm exceed the lowest safety threshold of
553 K, which might cause catalyst deactivation problems.
Figure 11
Axial envelope
of maximum local temperatures with different catalyst
pellet diameters.
<span class="Chemical">Axpan>ial envelope
of m<span class="Chemical">aximum local temperatures with different catalyst
pellet diameters.
These results highlight
that is pos<span class="Chemical">sipan>ble to improve the <span class="Chemical">DME yield
by reducing the catalyst pellet diameter. However, for industrial
scale reactors, this may lead to an unacceptable in<span class="Chemical">crease of the pressure
drops, and pellets of at least few millimeters of diameter must be
adopted.[17,51,67]
It may
be argued that the typical values of specific flow rates
used in the adsorption/reaction step of SE<pan class="Chemical">span class="Chemical">DMES process are smaller
by a factor of 5–10 with resclass="Chemical">ppan>ect to those used in conventional
dimethyl ether or methanol synthesis:[17,67] this would
make the pressure drops in the adsorption/reaction step limited even
when using 1 mm catalyst pellets. However, a larger specific flow
rate is preferable in the regeneration steps: incrementing the purge
flow rate results indeed in a more efficient adsorbent regeneration.[46] This constraint still makes adoption of small
particle diameter a critical issue. Accordingly, in the next section,
the catalyst coupling in hybrid or core@shell pellets is considered
as an alternative to particle size reduction for minimizing the impact
of intraparticle diffusion limitations without affecting the pressure
drops.
Effect of Active Phase Distribution
In the hybrid pellets, the two catalysts are intimately <span class="Chemical">copan>upled (see Figure ), allowing for reducing
the diffu<span class="Chemical">sion lengths without changing the catalyst particle diameter.[51]
In Figure a, the mechanical mixture and hybrid pellet
copan>nfigurations are compared in terms of specific outlet DME flow rate.
Simulation results show that the hybrid pellets with 3 mm diameters
produce higher amounts of DME than a mechanical mixture of pellets
with the same diameter, with the outlet DME flow rate being similar
to the one obtained with 1.5 mm pellets. This is confirmed by the
overall DME yield reported in Table : the hybrid configuration significantly outperforms
the mechanical mixture with the same pellet size (76.4% vs 66.6%),
closely approaching the mechanical mixture with 1.5 mm particles.
Figure 12
Time
evolution of the (a) outlet DME specific flow rate and (b)
outlet CO2 molar fraction with mechanical mixture of different
catalyst pellets (MeOH and DME) with particle diameters of 1.5 and
3 mm, and hybrid pellets with particle diameter 3 mm.
Time
evolution of the (a) outlet DMEpan> specific flow rate and (b)
outlet CO2 molar fraction with mechanical mixture of different
catalyst pellets (MeOH and DME) with particle diameters of 1.5 and
3 mm, and hybrid pellets with particle diameter 3 mm.By adopting the hybrid catalyst layout, it is therefore possipan>ble
to achieve yield performances comparable to those obtained by using
small diameter pellets to reduce diffusional limitations in the pores.[55] This does not mean that the catalytic pellet
behavior in the two cases is exactly the same: the improvement in
DME yield is given by the reduction of the diffusion lengths in the
case of smaller particle diameter, whereas the advantage of hybrid
configuration is that the active phase segregation is eliminated,
synergistically coupling the methanol synthesis and dehydration from
both a kinetic and a thermodynamic point of view.[53] Indeed, methanol is produced in the same place where it
is dehydrated to DME, which thermodynamically promotes methanol synthesis
by action of mass and kinetically enhances the dehydration reaction
by reducing the intraparticle diffusion resistances.[51]The different behavior of hybrid pellets with larger
diameters
and a mechanical mixture of small (1.5 mm) pellets is more evident
when focupan>sing on the outlet CO2concentration trajectories
reported in Figure b. While producing almost the same amount of DME, the outlet CO2 molar fraction grows more rapidly when using hybrid pellet
instead of the mechanical mixture with 1.5 mm particles, resulting
in a lower value of CO2 overall conversion (Table ). In fact, in hybrid pellets,
water is locally produced by both methanol synthesis (from CO2) and dehydration catalysts, thus shifting the thermodynamic
equilibrium of the WGS/r-WGS and resulting in a low net rate of CO2consumption. On the contrary, in the mechanical mixture,
methanol synthesis and methanoldehydration occur on different pellets,
thus resulting in a lower H2Oconcentration in the pores
of the methanol catalyst, which is responsible for WGS/r-WGS equilibration.The different behavior of the hybrid pellet and mechanical mixture
of small diameter pellets is also evident from the inspection of the
envelopes of m<pan class="Chemical">span class="Chemical">aximum temperature plotted in Figure . With the hybrid pellets, the m<sppan>an class="Chemical">aximum temperature
shows a pronounced peak (565 K) in the first part of the fixed bed
and then decreases sharply, crossing at z ≈
1 m the envelope of maxima of the mechanical mixture with dp = 1.5 mm, which exhibits a milder peak (559
K). This occurs because the spatial distribution of reactant conversion
to DME is not the same. Time evolution of the specific DME flow rate
at 0.5 m, which is just after the maximum temperature hot spot, shows
that the hybrid pellet configuration promotes a faster DME production
in the first part of the reactor (Figure ). On the other hand, in the case of the
mechanical mixture with dp = 1.5 mm, the
reactions take place more evenly along all the axial coordinate, resulting
in DME flow rate trajectories that are almost overlapped at the reactor
outlet (Figure a).
Figure 13
Axial
envelope of maximum local temperatures with mechanical mixtures
of different catalyst pellets (MeOH and DME) with particle diameters
of 1.5 and 3 mm, and hybrid pellets with particle diameter 3 mm.
Figure 14
Time evolution of the DME specific flow rate at a 0.5
m axial position
with mechanical mixtures of different catalyst pellets (MeOH and DME)
with particle diameters of 1.5 and 3 mm, and hybrid pellets with particle
diameter 3 mm.
Axpan>ial
envelope of maximum local temperatures with mechanical mixtures
of different catalyst pellets (MeOH and DME) with particle diameters
of 1.5 and 3 mm, and hybrid pellets with particle diameter 3 mm.Time evolution of the DMEpan> specific flow rate at a 0.5
m axial position
with mechanical mixtures of different catalyst pellets (MeOH and DME)
with particle diameters of 1.5 and 3 mm, and hybrid pellets with particle
diameter 3 mm.Notably, the maxpan>imum experienced
temperature for the hybrid pellet
configuration significantly exceeds the lowest safety threshold temperature
of 553 K reported in the literature.[23] Although
the hottest temperatures are experienced in only a fraction of the
reaction/adsorption phase, this may expose the methanol synthesis
catalyst to the risk of long-term deactivation due to Cusintering.Moreover, it is reported that in hybrid pellets, deactivation may
also oc<span class="Chemical">cupan>r because of the close interaction between the two active
phases, pos<span class="Chemical">sibly leading to <span class="Disease">detrimental cross migration of elements
at the boundaries.[75] The core@shell catalysts
are proposed as alternative to the mechanical mixture and the hybrid
configurations, as the diffusion lengths are significantly reduced[51,54,55] while allowing for a better temperature
control.[51] Besides, the core@shell design
significantly reduces the contact area between the active phases,
partially preventing the aforementioned deactivation.[59] In addition, an intermediate protective layer can be added
between the core and the shell, further reducing the detrimental interactions.[65]
In view of this, both the copan>re@shell configurations
sketched in Figure , with methanol synthesis
(MeOH@DME) or methanoldehydration catalyst (DME@MeOH) in the pellet
core, are simulated. It is important to remark that, due to the different
density of CZA and γ-Al2O3 (Table ), the internal interface radius rint (calculated as reported in eqs and 26c)
is different in the two core@shell configurations even if the same
MeOH/DME ratio is considered. Assuming pellet diameter of 3 mm with
a MeOH/DME ratio 1/1 w/w, rint = 1.12
mm for MeOH@DME and rint = 1.23 mm for
DME@MeOH are obtained.The results of copan>re@shell configurations
are compared with those
of the mechanical mixture and the hybrid pellet taken as benchmark.
The calculated DME outlet specific flow rates are reported in Figure a. The hybrid configuration
maximizes the production of DME, closely followed by the DME@MeOH
(showing a similar profile), whereas the MeOH@DME initially behaves
similarly to the mechanical mixture but then decreases more gradually.
Thus, the ranking of the DMEcarbon yield and COconversion is hybrid > DME@MeOH > MeOH@DME > mechanical
mixture
(Table ).
Figure 15
Time evolution
of the (a) outlet DME specific flow rate and (b)
outlet CO2 molar fraction with different catalyst pellet
configurations (mechanical mixture, hybrid, MeOH@DME, DME@MeOH).
Time evolution
of the (a) outlet DMEpan> specific flow rate and (b)
outlet CO2 molar fraction with different catalyst pellet
configurations (mechanical mixture, hybrid, MeOH@DME, DME@MeOH).Focupan>sing on CO2conversion, the analysis
of outlet concentration
trajectories in Figure b and conversion data in Table provide a slightly different ranking: DME@MeOH >
hybrid
> MeOH@DME > mechanical mixture.These results resemble
those obtained in the copan>nventional direct
DME synthesis for the 1/1 w/w MeOH/DME catalyst ratio[51] and can be explained on the basis of the specific characteristics
of the active phase distributions in the different pellet configurations.
In fact, DME@MeOH pellets minimize the diffusion length in methanol
synthesis catalyst, promoting the production of methanol at the expense
of the selectivity to DME, and better performing with low MeOH/DME
catalyst ratios. This configuration is even more advantageous in SEDMES
conditions, where the DME selectivity is less critical[26] thanks to the positive effect of in situ H2O removal on the dehydration kinetics, and the process is
mainly limited by the methanol production.On the other hand,
the MeOHpan>@DMEconfiguration strongly reduces
the diffusion length of the DME catalyst, thus maximizing the selectivity
to DME. Accordingly, the production of methanol becomes the limiting
factor of this configuration, which performs better with MeOH/DME
catalyst ratios larger than 1/1 w/w.[51]To further assess this aspect, we performed <pan class="Chemical">span class="Chemical">simulations <sppan>an class="Chemical">considering
MeOH@DME pellets with a catalyst ratio MeOH/DME = 2/1 w/w (MeOHcore
radius = 1.26 mm). Results in Figure and Table confirm that a significant performance increase is obtained,
closely approaching the DME yield and CO and CO2conversion obtained with hybrid pellets.
Finally, the axpan>ial envelopes of local maximum temperature obtained
with different MeOH/DME active phase distributions are shown in Figure . The profiles
are consistent with the DME flow rates in Figure a. The highest hot spot temperatures are
obtained with the hybrid pellet, whereas the mechanical mixture is
the least thermally stressed configuration. The core@shell pellets
have intermediate maximum temperatures: the DME@MeOH has the maximum
hot spot of 558 K, just below the hybrid configuration (565 K), whereas
with the MeOH@DME, a maximum temperature of 551 K, moderately higher
than that of the mechanical mixture (546 K) is reached, which increases
to 557 K when MeOH/DME = 2 w/w is used.
Figure 16
Axial envelope of maximum
local temperatures with different catalyst
pellet configurations (mechanical mixture, hybrid, MeOH@DME, DME@MeOH).
Axpan>ial envelope of maximum
local temperatures with different catalyst
pellet configurations (mechanical mixture, hybrid, MeOH@DME, DME@MeOH).This trend differs from that obtained for the copan>nventional
DME
synthesis,[51] in which the MeOH@DME secures
a good thermal control while having relatively high DME yields (comparable
to the hybrid). Indeed, the exothermicity of the direct DME synthesis
is mostly related to the methanol synthesis reaction and the MeOH@DME
catalyst, despite a methanol production lower than the DME@MeOH and
hybrid, has the highest selectivity to DME, resulting in milder hot
spots. In the present case, however, the exothermicity of the process
is merely connected to the conversion of reactants to DME. The advantage
of MeOH@DME is indeed lost in the SEDMES process, which shows extremely
high selectivity to DME independently of the catalyst configuration
considered.In copan>nclusion, the DME@MeOHcore@shell catalyst
configuration seems
the most promising for SEDMES, as a DME yield comparable to the hybrid
(the maximum one) is obtained simultaneously with an improved CO2consumption and a better thermal control.
Effect of Operating Variables
A techno-ecopan>nomic
analysis recently reported in the literature[41] shows that installation costs of the SEDMES unit play a significant
role in DME production costs. Results in the previous section point
out that catalyst distribution at the pellet scale may significantly
improve the DME yield/productivity performances of the reactor. To
better assess the potential of hybrid and core@shell pellets for process
intensification, in this section, we investigate the effect of space
velocity and pressure on reactor performances.Sipan>mulations are
first performed by doubling the GHSVcat from 805 to 1610
h–1 considering the mechanical mixture configuration
with a 4/1 w/w adsorbent/catalyst ratio and the standard 1/1 w/w MeOH/DME
catalyst weight ratio. Referring to the whole bed volume, these GHSVs
correspond to 140 and 280 h–1, which are values
within the range reported in the literature SEDMES techno-economic
analysis.[41] Results reported in Tables and 9 show that by doubling the GHSV, the productivity grows from
25.6 to 32.5 kgDME/(h m3). However, the DME
yield, as well as CO2 and COconversions, drops by more than 20%.
Table 9
DME Carbon
Yield, CO2 and
CO Conversion and DME Productivity (GHSVcat = 1610 h–1) with Different Catalyst Pellet
Configuration (Mechanical Mixture, Hybrid, DME@MeOH), Pressure, and
Tube Diameter
mechanical mixture
hybrid pellet
DME@MeOH
P0
bar
25
50
25
50
50
50
50
GHSVcat
h–1
1610
1610
1610
1610
1610
1610
1610
dt
mm
38
38
38
38
25.6
38
25.6
YDME
%
42.3
66.7
52.9
72.2
72.3
74.8
75.7
ConvCO2
%
40.9
64.8
45.2
69.7
70.1
74.2
75.6
ConvCOx
%
45.5
71.6
56.1
76.5
77.2
78.5
80.1
ProdDME
kg/(h m3)
32.5
51.3
40.7
55.5
55.6
57.5
58.2
When copan>nsidering the hybrid pellet
configuration operated at 1610
h–1, despite the better productivity (Table ), DME yield is still too low
(52.9%) for economical sustainability.The issue of low DMEpan>
yield can be overcome by increasing the pressure
from 25 to 50 bar, which kinetically and thermodynamically favors
the DME direct synthesis process and enhances the water adsorption
capacity.[45] Simulations results reported
in Table show that
DME yields of 66.7 and 72.2% are obtained at 50 bar with the mechanical
mixture and the hybrid pellet configuration, respectively, with corresponding
productivities of 51.3 and 55.5 kg/(h m3), more than two
times higher than in the base case (mechanical mixture, GHSVcat = 805 h–1, P = 25 bar).The DMEpan>@MeOH catalyst configuration, which in the previous section
was identified as the best core@shell configuration, is also simulated,
showing performances slightly better than the hybrid pellet at high
pressure and high GHSV (Table ). The reason of this behavior can be explained considering
that the high partial pressure of water detrimentally affects the
methanol synthesis kinetics and thermodynamics. In the shell of DME@MeOH,
where methanol synthesis occurs, the water partial pressure is lower
than that inside the hybrid pellet, where water is produced both by
methanol synthesis and dehydration.Copan>nsistently with the productivity
enhancement, the temperature
envelope grows drastically with the pressure (Figure ), keeping below the highest literature
threshold[74] only with the mechanical mixture
(maximum at 569 K). In fact, for the hybrid pellet and DME@MeOHconfigurations,
maxima at 590 and 584 K are obtained, respectively, which significantly
exceed the highest safety limit of 573 K.
Figure 17
Axial envelope of maximum
local temperatures at 50 bar with different
catalyst pellet configurations (mechanical mixture, hybrid, DME@MeOH)
and different tube diameters.
Axpan>ial envelope of maximum
local temperatures at 50 bar with different
catalyst pellet configurations (mechanical mixture, hybrid, DME@MeOH)
and different tube diameters.A way to achieve a better temperature copan>ntrol consists in reducing
the tube diameter. For this analysis, the tube diameter is reduced
from 38.0 mm to 25.6 mm, still assuming high space velocity and pressure
(1610 h–1, 50 bar) and considering both the hybrid
and the DME@MeOHconfigurations. Figure shows that the thermal stresses are effectively
moderated by the reducing tube diameter to 25.6 mm, reaching a maximum
temperature of 568 K for both the hybrid and the DME@MeOH catalysts.Noteworthy, the tube diameter has a minor effect on all the performance
indicators (Table ): the DMEpan> yield, as well as the CO2 and COconversions, increases less than 1% by decreasing
from 38 to 25.6 mm tube diameter, independently from the catalyst
configuration. This confirms that the DME@MeOHcore@shell configuration
is particularly interesting, as it provides yield performances comparable
to or even better than hybrid pellets.The results reported
above on the effect of both the pellet copan>nfiguration
and the operating window of a SEDMES reactor, could provide a basis
for the refinement of the techno-economic analysis of the DME production
process,[41] which is needed to fully assess
the potential of the process intensification options herein investigated.
Conclusions
The copan>nversion/yield/productivity
performances and the thermal
behavior of a full scale, externally cooled, fixed-bed, multitubular
SEDMES reactor are assessed in this work by means of a 2D+1D model
of a single catalytic tube, which simulates the adsorption/reaction
step of a PSA cycle. The effects of adsorbent/catalyst ratio, catalyst
particle diameter, active phase distribution (mechanical mixture,
hybrid, and core@shell pellets), and operating variables (GHSV and
pressure) are addressed.Although DMEpan> productivity grows on
decreasing the adsorbent/catalyst
ratio, higher adsorbent/catalyst ratios increase the water adsorption
capacity of the system, controlling the water breakthrough and improving
both the CO2conversion and the DME yield because of thermodynamic
reasons. Besides, the adsorbent acts as a thermal diluent, thus allowing
for a more effective temperature control of the reactor on increasing
the adsorbent/catalyst ratio. A trade-off is needed, which requires
the optimization of the full reaction adsorption/regeneration cycle
in the framework of a techno-economic analysis.Sipan>mulation results
also show that, as for the conventional DME
direct synthesis, the apparent reaction rates are hindered by catalyst
intraparticle diffusion limitations. Accordingly, CO2conversion,
as well as DME yield and productivity, can be improved by reducing
the catalyst pellet size, which, however, may result in unacceptable
pressure drop. Besides, it should be considered that the maximum temperature
reached in the reactor with smaller catalyst particles increases as
a consequence of the larger heat released by reaction/adsorption.The copan>upling of the methanol synthesis and dehydration catalysts
in a single hybrid pellet is a possible solution to pore diffusion
limitations, without the need to reduce the particle diameter. Our
results show that DME yield and productivity similar to those achieved
with the mechanical mixture of 1.5 mm pellets are obtained with 3
mm hybrid pellets. Only the CO2conversion is slightly
lower, because of the increased waterconcentration inside the catalyst
pellets. Nevertheless, the adoption of hybrid pellets has been reported
to cause deactivation problems because of the interaction between
MeOH and DME active phases.The copan>re@shell catalysts (MeOH@DME
and DME@MeOH) are therefore
proposed as trade-off to reduce the intraparticle diffusion lengths
while allowing a lower contact surface between the different active
phases. At SEDMES conditions, the DME@MeOHconfiguration is particularly
promising, granting DME yield and CO2conversion comparable
to those obtained with hybrid pellets while moderating the maximum
temperature in the reactor and increasing the catalyst stability.Finally, our results indicate that the performance of the SEDMEpan>S
process can be improved by increasing the space velocity (resulting
in higher DME productivity) and the pressure (resulting in higher
DME yield and productivity). This results, however, in a more difficult
heat management in the reactor, which requires smaller tube diameters
to avoid the catalyst temperature markedly exceeding the safety limits.
Authors: Johan A Martens; Annemie Bogaerts; Norbert De Kimpe; Pierre A Jacobs; Guy B Marin; Korneel Rabaey; Mark Saeys; Sebastian Verhelst Journal: ChemSusChem Date: 2017-02-24 Impact factor: 8.928
Authors: Sina Baier; Christian D Damsgaard; Michael Klumpp; Juliane Reinhardt; Thomas Sheppard; Zoltan Balogh; Takeshi Kasama; Federico Benzi; Jakob B Wagner; Wilhelm Schwieger; Christian G Schroer; Jan-Dierk Grunwaldt Journal: Microsc Microanal Date: 2017-04-05 Impact factor: 4.127
Authors: Cristina Peinado; Dalia Liuzzi; Rosa María Ladera-Gallardo; María Retuerto; Manuel Ojeda; Miguel A Peña; Sergio Rojas Journal: Sci Rep Date: 2020-05-22 Impact factor: 4.379