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7/27/2019 MODELING AND CONTROL OF ACETYLENE HYDROGENATION PROCESS
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7/27/2019 MODELING AND CONTROL OF ACETYLENE HYDROGENATION PROCESS
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7/27/2019 MODELING AND CONTROL OF ACETYLENE HYDROGENATION PROCESS
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7/27/2019 MODELING AND CONTROL OF ACETYLENE HYDROGENATION PROCESS
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Salam Al-Dawery, Haider Dakhil
12 Emirates Journal for Engineering Research, Vol. 17, No.1, 2012
A linear low order model was needed. Whilst the
dynamic model have been subjected to some of
linearization following by model order reduction, the
resultant linear model would contain all the
uncertainty of the full model plus the additional errors
due to linearization and model order reduction.
Thus, the energy linearized model for the
converter can be represented by the following transfer
function:
(1)
This model predicted the outlet temperature (Tout)
as a function of the inlet temperature (Tin), flow rate
(F) and carbon monoxide concentration (CO). There
was a gain (K) associated with each input. The same
second- order lag term was used for all inputs; inaddition the effect of a change in the inlet temperature
is delayed by dead time D.
Composition dynamics are assumed to be similar
to that of temperature dynamics. Therefore the
Acetylene concentration model can be described by
the following equation:
(2)
The numerical values for parameters of the above
two equations can be determined based on the
followings:1-assuming temperature rise across the converter
bed equal to 20oC
2- the value of the input temperature gain KTin equalto 2.3
oC/
oC as calculated from Figure 2.
3-the ratio between gains (KF/KTin) was -0.14 0C/(tone/hr), then KF=- 0.322.
4-The carbon monoxide concentration gain isconstant and equal to -0.015 oC/ppm
5-The input temperature gain for acetyleneconcentration model KCin which represents the
relationship between outlet acetylene temperature
and inlet acetylene concentration at study state
condition and equal to 0.001 oC/ppm6-The time constant is fixed at 1.4 minutes.7-Assuming the feed flow rate of gases mixture is
equal to 52630 kg/hr.
8-Time delay can be found 2.5 minutes as calculatedfrom Figure 3.
By substituting all numerical values regarding
parameters in equations 1 and 2, the converter
material and energy balances can be modeled by the
following matrix:
Where,
The dynamic responses of the converter (outlet
temperature and concentration) to step changes in
feed temperature, feed flow rate and carbonmonoxide concentration are shown in Figures 4 to 9.
Figure 2. Inlet to outlet temperature gain versus
temperature rise[7]
Figure 3. Time delay versus inverse of flow[7]
COs
KF
s
KT
s
eKT COFin
S
Tin
out
D
222
)(
)1()1()1( ++
++
+
=
COs
KF
s
KT
s
eKC COFin
S
TinHC
D
out 222
)(
22)1()1()1( +
+
++
+
=
7/27/2019 MODELING AND CONTROL OF ACETYLENE HYDROGENATION PROCESS
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Modeling and Control of Acetylene Hydrogenation Process
Emirates Journal for Engineering Research, Vol. 17, No. 1, 2012 13
Figure 4 Temperature response of acetylene converter
to a step change in inlet temperature
Figure 5 Acetylene concentration response to a step
change in the inlet temperature
Figure 6 Temperature response of acetylene converter
to a step change in the feed flow rate
Figure 7 Acetylene concentration response to a stepchange in the feed flow rate
Figure 8 Temperature response of acetylene converter
to a step change in carbon monoxide concentration
Figure 9 Acetylene concentration response of
acetylene converter to a step change in carbon
monoxide concentration
2.2 Steam Heater Dynamic Model
The mathematical model for the shell and tubeexchanger (see Figure 1) was derived based on
unsteady-state energy balance and represented by the
following transfer function:
(3)
This model predicted the outlet temperature (Tout)
as a function of the inlet temperature (Tin), steam
flow rate (Fs) and feed flow rate (F). There was a
gain (K) associated with each input. The steam heater
responses to different step changes are shown in
Figures 10 to 12.
2.3 Intercooler and Aftercooler Dynamic
Model
The mathematical model for this shell and tube
exchanger type (see Figure 1) was derived based on
unsteady-state energy balance and represented by the
following transfer function:
)()1098.0(
0043.0)(
)1098.0(
0032.0)( S
SSinS
Sout FTT +++=
(4))(
)1098.0(
997.0)(
)1098.0(
417.1SWS
SWSTF
++
+
7/27/2019 MODELING AND CONTROL OF ACETYLENE HYDROGENATION PROCESS
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Salam Al-Dawery, Haider Dakhil
14 Emirates Journal for Engineering Research, Vol. 17, No.1, 2012
Figure 10 Temperature response of steam heater to a
step change in inlet temperature
Figure 11 Temperature response of steam heater to a
step change in steam feed flow rate
Figure 12 Temperature response of steam heater to a
step change in feed flow rate
This model predicted the outlet temperature (Tout)
as a function of the inlet temperature (Tin), cooling
water flow rate (Fw), cooling water temperature (Tw)
and feed flow rate (F). There was a gain (K)
associated with each input. The cooler responses to
different step changes are shown in Figures 13 to 16.
Figure 13 Temperature response of intercooler to a
step change in inlet temperature
Figure 14 Temperature response of intercooler to a
step change in feed flow rate
Figure 15 Temperature response of intercooler to a
step change in cooling water flow rate
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Modeling and Control of Acetylene Hydrogenation Process
Emirates Journal for Engineering Research, Vol. 17, No. 1, 2012 15
Figure 16 Temperature response of intercooler to a
step change in cooling water temperature
Figure 17 Closed loop block diagram for Acetylene
converter
3. ACETYLENE PLANT CONTROLTo study the dynamic behaviors of the acetylene
hydrogenation plant under control, a conventional
PID controller was used to control each units of the
plant based on their derived models. The parameters
of all controllers were determined by using the Cohenand Coon method.
The construction of block diagram for temperature
control of the converter is shown Figure 17, in which
inlet temperature was chosen as manipulated
variables and outlet temperature is the controlled
variable. The best controller settings are presented in
the Table below,
Controller Parameters
Kc T1 TD
PID -2.5 2.5 0.8
The responses of outlet temperature and acetylene
concentration of the converter under PID controller
are shown in Figure 18.
Similarly, for the case of steam heater and
intercooler, the closed loop responses of outlet
temperatures under PID controller are shown in
Figures 19 and 20 respectively.
4. DISCUSSION AND CONCLUSIONSFrom the mathematical model of the converter in
acetylene process, it appears that the real process was
highly non-linear, and thus, a linearized model has
been derived and represented by second order lag
with dead time. To test the acceptability of the model,
many dynamic responses (both outlet temperature and
acetylene concentration) were obtained and all gave a
reliable and acceptable level of accuracy. Also, the
implementation of control system was shows a
reliable and stable responses which agreed to that ofprocess behavior.
Also, The dynamic behaviors of steam heater and
intercooler and aftercooler exchangers were both
described by first order lag model. The temperature
dynamic responses of both systems were at an
acceptable level, and similarly for responses under
control systems.
From above, it can be recommended that the
derived model for the Acetylene plant can be
considered for applying advanced control strategies
such as feedforward and or plant wide control for the
overall plant control improvements.
Figure 18 Responses of outlet temperature and acetylene
of the converter under PID controller.
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Salam Al-Dawery, Haider Dakhil
16 Emirates Journal for Engineering Research, Vol. 17, No.1, 2012
Figure 19 Temperature response of Steam Heater to a
negative 100% step change in feed flow rate
Figure 20 Temperature response of the Intercooler to
a negative 100% step change in feed flow rate
REFERENCES
1. Peacock, A. J., (2000) "Handbook of Polyethylene",Marcel Dekker, Inc., Basel, New York.
2. Schbib, N. S., Garcia, M. A., Gigola, C. E. and Errazu,G. A., "(1996) Kinetics of Front-End AcetyleneHydrogenation in Ethylene Production",Ind. Eng.
Chem. Res. vol.35 pp. 1496-1505.3. Mostoufi, N., Ghoorchian, A. and Sotudeh-Gharebagh,
R., (2005), Hydrogenation of Acetylene: KineticStudies and Reactor Modeling", Int. J. Chem. React.Eng. Vol.3.
4. Cider, L., Schoon, N., (1993) "Hydrogenation ofAcetylene at Transient Conditions in the Presence of
Olefins and Carbon Monoxide overPalladium/Alumina", Ind. Eng. Chem. Res. vol. 30 , pp.
1437-1443.5. Gobbo, R., Soares, R. P., Mandarin, M. A., Secchi, A.
R. and Ferreira, J. M. P. , (2004) "Modeling,
simulation, and optimization of afront-end system foracetylene hydrogenation reactors" ,Braz. J. Chem. Eng.
vol.21 no.4 Oct./Dec.6. Dakhil, H.M., (2007) "Integrated multi-unit controller
design for chemical process plant", M.Sc. Thesis,
University of Baghdad. Iraq.7. Weiss, G. H., (1996) "Modeling and control of an
acetylene converter",J.Proc. Cont. Vol. 6, No. 1, pp. 7-15.
8. Hobbs, J. W., (1979) "Computer control of AcetyleneHydrogenation Process", Industrial Process Control,AIChE Workshop, 7.