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( +

    +

    ++

    +

    =

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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

    ++

    +

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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.