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TRANSCRIPT
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chemical engineering research and design 9 0 ( 2 0 1 2 ) 1090–1097
Contents lists available at SciVerse ScienceDirect
Chemical Engineering Research and Design
journal homepage: www.elsevier .com/ locate /cherd
Kinetic study of propane dehydrogenation and side
reactions over Pt–Sn/Al2O3 catalyst
Saeed Sahebdelfar, Maryam Takht Ravanchi∗, Farnaz Tahriri Zangeneh,Shokoufeh Mehrazma, Soheila Rajabi
Catalyst Research Group, Petrochemical Research and Technology Company, National Petrochemical Company, No. 27, Sarv Alley,
Shirazi-south, Mollasadra, P.O. Box 14358-84711, Tehran, Iran
a b s t r a c t
The kinetics of reactions involved in dehydrogenation of propane to propylene over Pt–Sn/Al2O3 catalyst was studied.
The simultaneous deactivation of individual dehydrogenation, hydrogenolysis and cracking sites was also studied.
A model was developed to obtain the transient conversion of propane, product selectivity and catalytic site activity.
The dehydrogenation reaction was considered as the main reaction governing propane and hydrogen concentrations
along the reactor. Catalytic test runs were performed in a fixed-bed quartz reactor. The kinetic expressions devel-
oped for the main and side reactions were verified by integral and a combination of integral–differential analysis of
reactor data, respectively, andthe kinetic parameters were obtained. Thedeactivation of the active sites for the three
reactions was found to follow a first-order independent decay law. The rate constants of deactivation were found to
decrease in the order of dehydrogenation, hydrogenolysis and cracking. Noncatalytic thermal cracking was found to
be comparable to the catalytic route resulting in a very low apparent deactivation rate constant for cracking reaction.
© 2011 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.Keywords: Propane dehydrogenation; Pt–Sn catalysts; Cracking; Hydrogenolysis; Catalyst deactivation; Kinetics
1. Introduction
Propylene is an important feedstock for producing a vari-
ety of petrochemicals such as polypropylene, acrolein and
acrylic acid. Due to ever-increasing demand and insufficient
supply by crackers, alternative production methods such
as propane dehydrogenation (PDH) has received attention
(Heinritz-Adrian et al., 2008):
C3H8 ⇔ C3H6 + H2, H298◦= +129 kJ/mol (1)
The reaction is highly endothermic and equilibrium-
limited; therefore, higher temperatures and lower pressures
are necessary to achieve acceptable conversions. Unfortu-
nately, these conditions favor side reactions and accelerate
catalyst deactivation as well.
In commercial practice both chromia (Arora, 2004; Miracca
and Piovesan, 1999; Weckhuysen and Schoonheydt, 1999) and
platinum (Bricker et al., 1990; Heinritz-Adrin et al., 2003;
Pujado and Vora, 1990) based catalysts have been employed
∗ Corresponding author. Tel.: +98 21 44580100; fax: +98 21 44580505.E-mail addresses: [email protected], [email protected] (M.T. Ravanchi).Received15 April2011;Receivedin revisedform20 October 2011;Accepted4 November 2011
for paraffin dehydrogenation. Platinum exhibits high catalytic
activity in dehydrogenation of paraffins. To achieve high plat-
inum dispersions, high-surface area supports are commonly
used. Acidic sites on the support promote cracking (reaction
(2)) and coke formation reactions. These sites are effectively
neutralized by application of alkaline promoters (Bai et al.,
2009; Bhasin et al., 2001; Padmavathi et al., 2005; Sanfilippo
and Miracca, 2006; Yu et al., 2006; Zhang et al., 2006a)
C3H8 ⇔ C2H4 + CH4, H298◦= +79.4 kJ/mol (2)
Dehydrogenation virtually occurs on all platinum sites,
while hydrogenolysis (reaction (3)) occurs on low coordination
sites (steps and kinks) (Resasco, 2003)
C3H8 +H2 ⇔ C2H6 + CH4, H298◦= −63.4 kJ/mol (3)
In commercial catalysts, Sn is used as promoter to sup-
press hydrogenolysis reaction through reduction of surface
Pt ensemble size by dividing Pt surface to smaller ensembles
0263-8762/$ – see front matter © 2011 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.doi:10.1016/j.cherd.2011.11.004
http://www.sciencedirect.com/science/journal/02638762http://www.elsevier.com/locate/cherdmailto:[email protected]:[email protected]://localhost/var/www/apps/conversion/tmp/scratch_7/dx.doi.org/10.1016/j.cherd.2011.11.004http://localhost/var/www/apps/conversion/tmp/scratch_7/dx.doi.org/10.1016/j.cherd.2011.11.004mailto:[email protected]:[email protected]://www.elsevier.com/locate/cherdhttp://www.sciencedirect.com/science/journal/02638762
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Nomenclature
a catalyst activity
C concentration (mol/m3)
F feed rate (mol/h)
ki forward rate constant of reaction i
kdi rate constant for catalyst deactivation in reac-tion i (h−1)
Keq concentration equilibrium constant (mol/m3)
ri
rate of reaction i per mass of catalyst
(mol/(kg h))
W weight of catalyst in the reactor (kg)
Xi conversion of key reactant A in reaction i
Xei equilibrium conversion of key reactant A in
reaction i
t time-on-stream (h)
Greek symbols
˛ parameter defined by Eq. (9)
ˇ parameter defined by Eq. (10)ε expansion factor, fraction change in volume
resulting from change in total number of moles
ratio of number of moles of species initially
entering to that of paraffin
a capacity factor (catalyst weight per volumet-
ric feed flow rate) ((kgh)/m3)
Subscripts
0 reactor inlet
A key reactant, propane
B key product, propylene
H hydrogen
i reaction numberout reactor outlet
(Barbier et al., 1980; Carvalho et al., 2001; Larese et al., 2000;
Takehira et al., 2004; Waku et al., 2003; Yu et al., 2007; Zhang
et al., 2006c, 2007).
Nevertheless, side reactionsstill occur to a rather apprecia-
ble extent on the catalysts, so that the selectivity of the UOP
Oleflex process in dehydrogenation of propane and isobutane
is 90% and 92%, respectively (Bhasin et al., 2001).
Both cracking and hydrogenolysis reactions may occur by
single or multiple C–C bond rupture according to the catalyst
formulation and operating conditions. However,a recent study
(Sahebdelfar and Tahriri Zangeneh, 2010) has shown that over
the catalyst and under reaction conditions employed in this
work, the former path is predominant. Consequently, reac-
tions (2) and (3) can represent the side reactions.
It has been shown that side reactions result in significant
influence on the performance of commercial-sized dehydro-
genation reactors (Sahebdelfar et al., 2011). Unfortunately, it
is difficult to study individual reactions independent of other
reactions. Hydrogenolysis occurs virtually on the same sites
as dehydrogenation. Cracking can occur separately, but under
conditions different from that of dehydrogenation reaction.
Another important difficulty in commercial scale imple-
mentation of paraffin dehydrogenation is rapid catalyst
deactivation due to coke formation (Moulijn et al., 2001). Dur-
ing thecourse of reaction, different sites deactivate at different
rates resulting in a change in activity and selectivity with
time-on-stream. The overall deactivation kinetics has been
studied elsewhere (Moghimpour Bijani and Sahebdelfar, 2008).
Qing et al.(2011) studied the kinetics of propane dehydrogena-
tion, cracking and coke formation over Pt–Sn/Al2O3 catalyst,
assuming same activity for all sites. The distinction of active
sites as differenttypes hasalso been proposed in theliterature
(Kumbilieva et al., 2006).
Compared to the studies on the mechanism of propane
dehydrogenation including coke formation and the efforts toimprove the activity and stability of the catalyst, relatively few
efforts have been made to establish a complete and reliable
kinetic model of engineering significance, including kinet-
ics of dehydrogenation, hydrogenolysis and cracking as well
as deactivation of the corresponding sites. These models are
essential for optimization of the reactor performance through
increasing propylene yield and catalyst lifetime.
In the present work, reaction kinetics and deactivation of
different catalytic sites of a commercial Pt–Sn/Al2O3 catalyst
in dehydrogenation of propane to propylene are studied. A
model is developed to obtain the kinetics of the reactions
involved and the deactivation of the corresponding sites and
to obtain the related kinetic parameters.
2. Experimental
2.1. Materials
The propane, hydrogen and nitrogen feed gases were sup-
plied by Roham Gas Co. with purity 99.5wt.%, 99.99 wt.% and
99.99wt.%, respectively. Commercial Pt–Sn/-Al2O3 catalyst
(Pt= 0.58wt.%, Sn= 0.8 wt.% and surface area= 187 m2 /g) with
trade name DP-803, the characteristics of which is reported
elsewhere (Sahebdelfar and Tahriri Zangeneh, 2010), was sup-
plied by Procatalyse company. Quartz powder with grain size0.1 mm was used as catalyst diluent.
2.2. Set-up
The experimental setup, a schematic diagram of which is
depicted in Fig. 1, was a fully automated system. All lines
and fittings of the setup were made of stainless steel 316 (SS-
316). A tubular fixed-bedquartz reactor with inner diameter of
15mm was used, the temperature of which was controlled by
a furnace. Space above and below the catalyst bed (1.5g) was
packed with quartz powder (3g) to ensure proper distribution
of fluid flow. A thermocouple was inserted into the center of
the catalyst bed to indicate bed temperature. The channeling and heat transfer effects in the reactor could be neglected as
the radial aspect ratio (bed diameter to catalyst particle diam-
eter) was >15. The axial aspect ratio i.e. the ratio of catalyst
bed length to catalyst particle diameter was >30 and hence
the dispersion effects can be also neglected (Anderson and
Pratt, 1985). In all runs, except for the initial data points, the
carbon and hydrogen balance was within±1.5%.
2.3. Experimental procedure
The reactor was first heated under hydrogen flow of
18.3 N ml/min at about 5 ◦C/min to 530 ◦C to desorb the
adsorbed moisture, if any, and then the catalyst was reduced
in hydrogen flow at 530◦C for 1h in the reactor. The kinetic
experiments were carried out at 620 ◦C with molar ratio of
hydrogen to hydrocarbon equal to 0.6 and weight hourly
space velocity (WHSV) 2.2 h−1. The gas productswere analyzed
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Fig. 1 – Schematic diagram of the experimental setup.
using online gas chromatography Agilent 6890N RGA, which
was equipped with a capillary column, HP-Plot Al2O3 /Na2SO4,
50m, 530m, 15.0m and FID detector. The concentration of
propane, propylene and lower hydrocarbons was measured
in the product stream to calculate conversion, selectivity and
yield of the reactions.The product selectivities were calculated based on moles
of carbon converted. The conversion of propane by reaction iwas calculated as:
Conversion by reactioni
=moles of propane in− moles of propane converted by reaction i
mole of propane in
(4)
The test run times were comparable to one catalyst cycle
(5–7 days)in theOleflex process when thecatalyst being sent to
continuous catalyst regeneration (CCR) unit for regeneration.
3. Kinetic and reactor model
3.1. Kinetic expressions
Mostprevious studies have shown that dehydrogenation reac-
tion is first-order in paraffin concentration and negative half
to zeroth-order in hydrogen concentration (Resasco, 2003).
Therefore to incorporate the first-order dependence on paraf-
fin concentration, hydrogen-inhibition effect, and chemical
equilibrium limitation, the following expression is assumed
to represent kinetics of the reaction:
−r1 = k1CA − k−1CBCH2 = k1
CA −
CBCH2Keq
(5)
where r
1
is the rate of conversion of propane to propy-
lene (reaction (1)) per catalyst weight, k1 and k−1 are the
rate constants of forward and backward reactions, respec-
tively, Keq is the equilibrium constant at reaction temperature,
C is the concentration, and, A and B, respectively, rep-
resenting the key components, propane and propylene.
Larsson et al. (1996) f ound that among several kinetic mod-
els tested for dehydrogenation of propane on Pt–Sn/Al2O3catalysts, simple power-law model of this type resulted
in the best fit. In fact most mechanistic kinetic models,
e.g. Longmuir–Hinshelwood–Hougen–Watson (LHHW) based
model of Padmavathi et al. (2005) with surface reaction as
rate-limiting step, approach to power law expressions at the
high-temperature, low-partial pressure (low surface coverage
(Scott Fogler, 1999)) prevalent in lower-paraffin dehydrogena-
tion practice.To account for catalyst deactivation, the reaction rate can
be written in terms of site activity as:
−r1 = k1a1
CA −
CBCH2Keq
(6)
in which the activity of dehydrogenation sites, a1, is defined
as (Scott Fogler, 1999):
a1(t) =−r1(t)
−r1(t = 0) (7)
Considering volume change of reaction, following neces-sary algebraic manipulations, one arrives at the following
expression for reaction rate in terms of propane conversion
(Moghimpour Bijani and Sahebdelfar, 2008):
−r1 =k1a1CA0(Xe1 − X1)(˛+ ˇX1)
(1 + εAX1)2
(8)
in which
˛ =Xe1 + (H + B)+ HB(1 − εA + εAXe1)
(H + Xe1)(B + Xe1) (9)
ˇ =(1 + ε
AX
e1−X
e1)+ ε
AX
e1(
H+
B)+ ε
A
H
B(H +Xe1)(B + Xe1) (10)
where H, B and CA0 are hydrogen/paraffin, olefin/paraffin
molar ratios and propane concentration in the feed, respec-
tively, X1 is propane conversion to propylene, Xe1 is the
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equilibrium conversion under reaction conditions and εA is
the volume expansion factor.
Similarly, assuming reaction (1) as the main propane
consuming reaction governing propane and hydrogen con-
centrations along the reactor and noting that side reactions
are far from equilibrium under dehydrogenation conditions
(Waku et al., 2004), one may use the following power-law rate
expressions for cracking (Lobera et al., 2008; Qing et al., 2011)and hydrogenolysis (Chin et al., 2011) reactions, respectively:
−r2 = k2a2CA0(1 −X1)
(1 + εAX1) (11)
−r3 = k3a3C2A0
(1 −X1)(H + X1)
(1 + εAX1)2
(12)
The deactivation rates could be considered as first-order
and independent. Consequently, for reaction i:
−dai
dt = kdiai (13)
where kdi is the respective rate constant of deactivation. Inte-
grating this equation yields a correlation for ai as a function
of time, t:
ln ai = −kdit (14)
3.2. Reactor model
The plug-flow reactor performance equation for reactions in
parallel is:
dW
FA0=
dXi
−ri (15)
As the propane and hydrogen concentration profiles are
largely determined by the main reaction (Eq. (1)), itsextent can
be obtained independent of other reactions. Consequently, the
integral analysis of the conversion data for reaction (1) along the reactor results in (Moghimpour Bijani and Sahebdelfar,
2008):
ln
ˇ−1
(ˇ − εA˛)
2
ˇ(˛ + ˇXe1) ln
˛ + ˇX1,out˛
−ˇ(1 + εAXe1)
2
(˛ + ˇXe1) ln
Xe1 − X1,out
Xe1
− ε2AX1,out
= −kd1t + ln(k1 ) (16)
where W is the catalyst weight, FA0 is the molar flow rate
of the feed to reactor and , the ratio of catalyst weight
per volumetric feed flow rate, is a capacity factor known
as the weight-time. The subscript out refers to reactor out-
let value of the parameter. Plots of Eq. (16) should result in
straight lines the slope of which giving kd1 and the intercept
giving k1.
0
10
20
30
40
50
60
70
0 20 40 60 80 100 120
Time-on-stream, h
C o n v e r s
i o n ,
%
Fig. 2 – Overall conversion of propane ( ) and conversion to
propylene ( ), ethylene ( ) and ethane ( ) ( T =620 ◦C,
H2 /HC=0.6mol/mol and WHSV=2.2h−1 ).
The rate of reactions (2) and (3) depends on reaction (1) asimplied by Eqs. (11) and (12). Dividing Eq. (15) f or reactions (2)
and (3) to that for reaction (1), and using Eq. (14) f or deactiva-
tion terms, one obtains respectively;
(Xe1 −X1)(˛ + ˇX1)
(1 − X1)(1 + εAX1)
dX2dX1
=k2k1
exp((kd1 − kd2)t) (17)
(Xe1 −X1)(˛ + ˇX1)
(1 −X1)(H +X1)
dX3dX1
=CA0k3
k1exp((kd1 − kd2)t) (18)
Eqs. (17) and (18) hold for any point along the reactor.
Rearranging, integrating with respect to Xi and then dif-
ferentiating with respect to t, the following correlations are
obtained for cracking and hydrogenolysis reactions, respec-tively:
ln
((1/X2,out)(dX2,out/dt)) − (kd1 − kd2)
(1/X2,out)(dX1,out/dt)(((1− X1,out)(1 + εAX1,out))/((Xe1 − X1,out)(˛ + ˇX1,out)))
= (kd1 − kd2)t + ln
k2k1
(19)
ln
((1/X3,out)(dX3,out/dt))− (kd1 − kd3)
(1/X3,out)(dX1,out/dt)(((1−X1,out)(H + X1,out))/((Xe1−X1,out)(˛ + ˇX1,out)))
= (kd1 − kd3)t + ln
k3CA0
k1
(20)
Interested reader is referred to Appendix f or detailed mathe-
matical derivations.
The derivative terms could be obtained numerically from
time-on-stream conversion data for different reactions. Sim-
ilarly, plots of Eqs. (19) and (20) should result in straight lineswith the slope giving the difference of deactivation rate con-
stants and the intercept giving the ratio of rate constants.
Since the parameters kd1 −kd2 and kd1 −kd3 appear on both
sides of Eqs. (19) and (20), respectively, an iterative procedure
is necessary for their determination.
Because of low deactivation rate compared to chemical
conversion rates, the pseudo-steady condition was assumed
to be valid in the above derivations.
4. Results and discussion
4.1. Performance test results
Fig. 2 shows the overall conversion and conversion of indi-
vidual reactions versus time-on-stream. The first data points
showing the “initial activity”, characterized by large devi-
ations, are never actually observed due to experimental
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y = 0.063x - 0.2411
R² = 0.9303
y = 0.0439x + 2.4186
R² = 0.9516
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
0 10 20 30 40
Conversion to propylene, %
C o n v e r s
i o n
t o b y - p r o
d u c
t s ,
%
Fig. 3 – Conversion of propane to ethylene ( ) and ethane
( ) versus conversion to propylene at different
time-on-streams ( T =620 ◦C, H2 /HC=0.6mol/mol and
WHSV=2.2h−1 ).
limitations. After a sharp initial decline in side reactionsaccompanied by an increase in dehydrogenation selectivity,
a gradual decline of the conversions is observed which is due
to deactivation of the active sites involved. The initial period
is due to the presence of too many active side-reaction sites
which deactivate quickly leaving moderate sites for longer
times-on-stream.
Fig. 3 showsthat plot of conversions to ethylene and ethane
versus that to propylene results in reasonably straight lines.
This, along with Fig. 2, shows that the contribution of side
reactions in overall consumption of propane is small, espe-
cially in early time-on-streams.
The fact that extrapolation of the line for hydrogenolysis in
Fig. 3 passes close theorigin could be attributed to thefactthat
both dehydrogenation and hydrogenolysis reactions occur on
platinum sites. This is notthe case forcracking reactionwhich
occurs on different sites and also thermally. From Fig. 3 one
concludes thatcracking reaction could proceed even when the
catalystis fully deactivatedand thatmore thanhalf of cracking
reaction originates from noncatalytic thermal cracking route.
Cracking reaction occurs mainly on acidic sites of the carrier
(Zhang et al., 2006b) and also proceeds thermally.
4.2. Modeling results
Fig. 4 showsa plot of Eq. (16) f or a long-term run using exper-
imental data with LHS showing the left-hand-side of that
equation. A favorable fit is observed. The slope and intercept
give the deactivation and reaction rate constants for dehydro-
genation reaction, respectively (Table 1).
In this way Eq. (16) provides a method to obtain time-
zero conversion to propylene i.e. an estimate of conversion in
the absence of deactivation effects which is useful for kinetic
study of the main reaction.
Unlike the integral method of analysis used in Fig. 4,
the plots of Eqs. (19) and (20) require a higher number and
Table 1 – Calculated values of the rate constants( T =620 ◦C).
Reaction no. ki kdi
1 4.7 m3 /(kg h) 0.016 h−1
2 0.40 m3 /(kg h) 0.0027h−1
3 0.023 m6 /(mol kg h) 0.011 h−1
y = -0.0159x - 0.2855
R2 = 0.9543
-2.5
-2
-1.5
-1
-0.5
0
120100806040200
Time-on-stream, h
L H S o
f E q .
1 6
Fig. 4 – Typical plot of Eq. (16) using experimental data
( T =620 ◦C, H2 /HC=0.6mol/mol, WHSV=2.2h−1 ).
more accurate experimental data because of the appear-
ance of time-derivative terms in these equations. To avoid
the fluctuations encountered in numerical differentiation, ithas been proposed to fit the data with an appropriate func-
tion and then differentiate the resulted interpolating function
(Levenspiel, 1999). The trends of time-data propose exponen-
tial functions as good candidates (Fig. 2) which in fact result
in fair fits. Figs. 5 and 6, respectively, show plots of Eqs. (19)
and (20) obtained by this approach after achieving conver-
gence of deactivation rate constant difference terms by the
iterative procedure explained above, with LHS showing the
left-hand-side of these equations. Favorable fits are observed.
The resulted rate constants for side reactions are also given in
Table 1.
Table 1 reveals that the rate constants of side reactions
are more than one order of magnitude smaller than thoseof the main reaction as required by a selective catalyst. Also,
the dehydrogenation sites deactivate more rapidly than those
of side reactions. This explains the observed drop of selectiv-
ity to propylene with time-on-stream. The seemingly smaller
deactivation rate constant in the case of cracking reaction can
be attributed to the simultaneous occurrence of non-catalytic
thermal cracking. The numerical values of rate and deactiva-
tion constants are also consistent with the experimental data
trends observed in Figs. 2 and 3.
The existence of a noncatalytic component in cracking
activity implies that higher orders of deactivation could give
y = 0.01318x - 2.45327
R² = 0.97686
-4
-3.5
-3
-2.5
-2
-1.5
-1
-0.5
0
120100806040200
Time-on-stream, h
L H S o
f E q .
1 9
Fig. 5 – Plot of Eq. (19) using experimental data with
kd1 − kd2 =0.0132 ( T =620◦C, H2 /HC=0.6mol/mol and
WHSV=2.2h−1 ).
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chemical engineering researchand design 9 0 ( 2 0 1 2 ) 1090–1097 1095
y = 0.0049x - 3.3575
R² = 0.8367
-6
-5.5
-5
-4.5
-4
-3.5
-3
-2.5
-2
120100806040200
Time-on-stream, h
L H S o
f E
q .
2 0
Fig. 6 – Plot of Eq. (20) using experimental data with
kd1 − kd3 =0.0049 ( T =620◦C, H2 /HC=0.6mol/mol and
WHSV=2.2h−1 ).
better fits for apparentdeactivationof cracking sites for longer
times-on-stream. This could complicate the corresponding
formulations. However, too much long times-on-stream are
not of practical interest as partiallydeactivated catalystwill be
sent to regeneration unit before complete deactivation could
occur.
In Fig. 7 parity plots for total conversion of propane
(Fig. 7a) and propane conversion to species (Figs. 7b–d) are
presented. These plots compare the calculated conversions
versus experimental conversions. As it can be seen, gener-
ally, the difference between experimental results and model
estimation is within 20% which confirms the accuracy of the
results.
It is noteworthy that in constructing these plots, the main
assumption of modeling (i.e. predominance of dehydrogena-
tion reaction in propane consumption) is not applied to have
a better insight of the capability of the modeling. The best
results are observed for the total conversion and conversion
to propylene. In case of side reactions, however, the approach
of experimental and calculated results occurs at shorter and
longer time-on-streams for cracking and hydrogenolysis reac-
tions, respectively. As in Fig. 7a, which is for total conversion
of propane to products, there is a good correlation between
experimental and model results, the rate constants calculatedfrom these data and reported in Table 1 have a reasonable
accuracy.
4.3. Issues on validity and accuracy
While the method of data analysis of the main reaction is
purely integral, that of side reactions is a combination of
integral anddifferential analysesthe accuracy of which is lim-
ited by the latter (that is, by time derivatives of conversions
data). As mentioned above, an approach is to fit experimental
conversion data with an appropriate function and then differ-
entiate the resulted fitting function. The use of this approach
for evaluation of the derivatives is inevitable in analysis of
long-term deactivation data, as after certain time-on-stream
the decreaseof conversions within the specifiedstep-size time
interval becomes smaller than that of experimental accuracy
and/or system disturbances. Therefore, using direct numeri-
cal differentiation formulas, these errors largely maskthe true
value of the derivatives. The function should be checked by
the eye to give both close fit to data and relevant slopes. The
exponential function is the simplest one to satisfy both these
requirements fairly. However, no simple function can fit both
data points and their derivatives over a long range. Conse-
quently, a small downward curvature is observed in plots of
Eqs. (19) and (20) with the exponential functions employed
for fitting (see Figs. 5 and 6). Alternatively, direct numerical
differentiation of data using up to fourth-order formulas did
Fig. 7 – Correlation between experimental data and model predictions for total propane conversion and propane
conversions to species in operating conditions used.
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1096 chemical engineering researchand design 9 0 ( 2 0 1 2 ) 1090–1097
not result in satisfactory values when applied to the whole of
time-on-stream domain, due to considerable fluctuations in
calculated derivatives.
The apparent concentration-independent deactivation in
decay laws implies that deactivation might be caused both by
reactant and products(Levenspiel, 1999). In fact, both the reac-
tant (e.g. through pyrolysis reaction) and products (through
oligomerization–aromatization of the olefinic products e.g. of reactions (1) and (2)) can bring about coke formation and
catalystdeactivation(Qing et al., 2011). The independent deac-
tivation is also a characteristic of catalyst decay by thermal
sintering (Levenspiel, 1999). However, the observed low orders
of deactivation and negligible Pt crystal growth during reac-
tions due to rather low reaction temperature compared to the
melting point of Pt do not favor deactivation by sintering dur-
ing reaction.
Finally, ethylene/ethane hydrogenation/dehydrogenation
could occur as additional side reactions. The rate of these
reactions should be very small due to the low concentration
of C2 products within the reactor. Furthermore, the ethy-
lene to ethane ratio in the product is much higher thanthe equilibrium ratio implying that there is thermodynamic
driving force for hydrogenation of ethylene to ethane. How-
ever, in an earlier work no appreciable decrease in ethylene
to ethane ratio observed upon decreasing the space-velocity
(Sahebdelfar and Tahriri Zangeneh, 2010). This illustrates that
hydrogenation reaction rate is not sufficiently high to con-
tribute an importantrole in selectivity to ethaneand ethylene.
Consequently, ethane and ethylene production rates can be
adequately considered as measuresfor the rateof hydrogenol-
ysis and cracking reactions, respectively.
The applicability of the simple yet practical approach
employed in this work depends on the selectivity to the main
product, propylene, becoming more accurate as the selectiv-ity approaches to unity. The propylene selectivities in the
data series employed in this work were mostly within the
range 80–85%. This range is still sufficiently large such that
the main reaction determines the concentrations of propylene
andhydrogen within thereactor. Therefore, the kinetic param-
eters obtained should be accurate to at least one significant
figure.
Higher selectivities are not uncommon both on lab or com-
mercial scale runs (Barias et al., 1996; Kogan and Herskowitz,
2001). This indicates that the proposed model could be used
in most of the cases of practical interest.
5. Conclusions
The activity and deactivation kinetics of dehydrogenation,
hydrogenolysis and cracking sites in dehydrogenation of
propane over Pt–Sn/Al2O3 catalyst were obtained when the
reactions occur simultaneously. Power law expressions and
first order independent decay laws fitted the kinetic data
of the reactions favorably. The rate constant of the main
reaction was found to be more than one order of magni-
tude larger than those of cracking and hydrogenolysis side
reactions. On the other hand, the rate constant of the deac-
tivation of dehydrogenation reaction was found to be larger
than those side reactions which explain the loss of selectivity
to propylene with time-on-stream. The findings of this work
could be applicable in modeling of commercial size reactors
where side reactions and catalyst deactivation play important
roles.
Appendix.
Eq. (17) can be written as below:
(Xe1 −X1)(˛ + ˇX1)
(1 − X1)(1 + εAX1)
dX2dX1
= k exp( At) (A1)
where
k =k2k1
(A2)
A = kd1 − kd2 (A3)
Rearranging Eq. (A1), one obtains:
dX2 = k exp( At) (1 − X1)(1 + εAX1)
(Xe1 −X1)(˛ + ˇX1)dX1 (A4)
Integrating this equation, gives X2,out as a function of X1,out as:
X2,out = k exp( At)
X1,out0
(1 − X1)(1 + εAX1)
(Xe1 −X1)(˛ + ˇX1)dX1 (A5)
Differentiating this equation with respect to t, gives:
dX2,outdt
= kA exp( At)
X1,out0
(1 −X1)(1 + εAX1)
(Xe1 − X1)(˛ + ˇX1)dX1
+k exp( At) ∂
∂t
X1,out0
(1 − X1)(1 + εAX1)
(Xe1 −X1)(˛ + ˇX1)dX1
(A6)
inwhich,thefirsttermontherighthandsideis AX2,out
(accord-
ing to Eq. (A5)). In the second term, as differentiation is with
respect to t and the integral limits are functions of time, the
Leibniz’s rule (Bird et al., 2002) must be applied. According to
this rule, for function F(x, t), where
F(x, t) =
b(t)a(t)
f (x, t)dx (A7)
the time derivative is:
dF
dt =
ba
∂f
∂t dx + f (b, t)
db
dt − f (a, t)
da
dt (A8)
Hence, the second term of the right hand side of Eq. (A6) is
k exp( At)
X1,out0
∂
∂t
( 1−X1)(1 + εAX1)
(Xe1 −X1)(˛ + ˇX1)
×dX1 +(1 − X1,out)(1 + εAX1,out)
(Xe1 −X1,out)(˛+ ˇX1,out)
dX1,outdt
(A9)
As the catalyst lifetime is much larger than the residence time
within the reactor, a pseudo-steady state condition can be
assumed within the reactor by which the first term of Eq. (A6)
is negligible. Consequently, Eq. (A6) is simplified to the below
equation:
dX2,outdt
= AX2,out + k exp( At) ( 1−X1,out)(1 + εAX1,out)
(Xe1 − X1,out)(˛ + ˇX1,out)
dX1,outdt
(A10)
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chemical engineering researchand design 9 0 ( 2 0 1 2 ) 1090–1097 1097
By rearranging Eq. (A10), one obtains:
ln
((1/X2,out)(dX2,out/dt))− A
(1/X2,out)(dX1,out/dt)(((1− X1,out)(1 + εAX1,out))/((Xe1 −X1,out)(˛+ ˇX1,out)))
= At + ln(k) (A11)
Similar approach can be used to obtain Eq. (20).
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