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8/9/2019 Modeling and Simulation of Cstr
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MODELING AND SIMULATION OF CSTR
using
POLYMATH (Version 3.0.1)
Prepared by : Ranparia Hitesh M.Guided By : Parsana Vyomesh M.
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What is a MODEL ?
Aset of mathematical equations that allowsus to
predict the behavior ofchemical process.
CLASSIFICATIONOF MODELLinear / Non linearSteady state / Dynamic behavior Lumped parameter / Distributed parameter Discrete/Continuous
Deterministic/Stochastic
INTRODUCTION
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MODELING
The activities leading to the construction of themodel will be referred to as modeling.
Modelinginvolves:-
For the design ofcontrollers forchemical process,
modelingis a very critical step.
It givessimple description of how the process reactsIt givessimple description of how the process reactsto variousinputs.to variousinputs.
It is an abstraction which helps to avoid repetitiveIt is an abstraction which helps to avoid repetitive
experimentation and observations.experimentation and observations.
Much cheaper,safer and faster.Much cheaper,safer and faster.
Mass balance
Component balance Energy balance
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SIMULATION
Asimulationis a mathematical model of theprocess which attempts to predict how the
process would behave ifit wasconstructed.
It predicts:
the flow rate,composition, temp., pressureof the products.
how much raw material is beingused.
how much energy is beingconsumed.
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USE OF MATHMATICAL MODELUSE OF MATHMATICAL MODELRESEARCHANDDEVELOPMENT :RESEARCHANDDEVELOPMENT :--
Determiningchemical kinetic mechanisms and parameters from laboratory orDeterminingchemical kinetic mechanisms and parameters from laboratory orpilotpilot--plant reaction data.plant reaction data.
Exploring the effects of different operatingconditions for optimization and controlExploring the effects of different operatingconditions for optimization and controlstudiesstudies
AidinginscaleAidinginscale--up calculations.up calculations.
DESIGN:DESIGN:--
Exploring the sizing and arrangement of processing equipment for dynamicExploring the sizing and arrangement of processing equipment for dynamicperformance.performance.
Studying the interactions of various parts of the process, particularly whenStudying the interactions of various parts of the process, particularly whenmaterial recycle or heat integrationisused.material recycle or heat integrationisused.
Evaluating alternative process and control structures and strategies.Evaluating alternative process and control structures and strategies.
SimulatingstartSimulatingstart--up,shutdown, and emergency situations and procedures.up,shutdown, and emergency situations and procedures.
PLANTOPERATION:PLANTOPERATION:--
Troubleshootingcontrol and processing problems.Troubleshootingcontrol and processing problems.
AidinginstartAidinginstart--up and operator training.up and operator training.
Studying the effects of and the requirements for expansion projects.Studying the effects of and the requirements for expansion projects.
Optimizing plan operation.Optimizing plan operation.
It isusually much cheaper,safer, and faster to conduct the kinds ofstudies listedIt isusually much cheaper,safer, and faster to conduct the kinds ofstudies listedabove on a mathematical model than experimentally on an operatingunit.Thisisabove on a mathematical model than experimentally on an operatingunit.Thisis
not to say that plant tests are not needednot to say that plant tests are not needed
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CONTINUOUS STIRRED TANK REACTORMODEL
Dynamic behavior Lumped parameter Non isothermal Assume:-
A simple first order ,irreversible, exothermicreaction A B takes place in the reactor, whichis turn cooled by a coolant that flows through a
cooling jacket around the reactor.
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V , CA ,T
Tj , Vj
Fi, CAi,
Ti
FJ, TJi
FJ, TJ
F, CA, T
Temp.Controller
Level
Controller
CONTINUOUS STIRRED TANK REACTOR (non isothermal)
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ASSUMPTION
1.First order irreversible exothermic reaction.
2.Liquid density is constant, i =
3.Negligible heat losses
4.The volume of water in the jacket VJ is constant
5.Temperature everywhere in the jacket is TJ
6.Overall heat transfer coefficient U is constant
7. Fluid specific heat capacities are constant
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Fi*i - F* = d(*V) / dt
Rate of mass Rate of mass = Rate of change offow in flow out mass within system
but , i =
THE MASS BALANCE
Rate of flow of Rate of flow of Rate of disappearance = Rate of change of AA in A out of A due to reaction inside the tank
CAi*Fi - CA*F - r*V = d(CA*V) / dt
Assuming a constant amount of material in the reactor , we find that
Fi*i = F* ,but i = Fi = F & V is constant & k = k0*e
(-E / R*T)
F*(CAi CA) / V k0*e
(-E / R*T)
*CA = d(CA) / dt - - - - - 2
Fi - F = dV/dt - - - - - 1
THE COMPONENT BALANCE
2
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Rate of flow Rate of flow Rate at which energy Heat transfer = Rate of change ofof energy of energy is generated due to rate liquid energyinto out of chemical reaction
CSTR CSTR
[Fi*i*Cpi*(Ti Tref)] [ F**Cp*(T - Tref)]+[-k*CA*V*(H)]-Q = d(*Cp*V* T)/dt
The heat transfer between the process at temperature T and thecooling water at temperature Tj is described by
an overall heat transfer coefficient.Q = U*AH*(T Tj) - - - - -
Now, Fi =F & i = & Cp ,V = constant[F*(Ti T) / V] + [H*k0*e
(-E / R*T)*CA/*Cp] [ Q/*Cp*V] =d(T) / dt - - 3
Same for JACKETED energy balance
REACTOR ENERGY BALANCE
Fj*(Tji Tj) / V + U*AH*(T Tj) / j*Cj*Vj =d(Tj) / dt - - - 4
i
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A proportional level controller is assumed to change the outflowas the volume in the tank rises or falls: the higher the volume,the larger the outflow. The outflow is shut off completely whenthe volume drops to a minimum value Vmin.
F=Kv*(V-Vmin) ---- iiA second controller manipulates the flow rate of cooling water
to the jacket, Fj , in direct proportion to the temperature in the reactor.Fj=Fj -Kc*(T
set-T) ---- iii
Steadystate values: Initial Values:
F =40f t3/h V0 =48f t3CAi = 0.5 lb*mol A/ft
3 CA0 = 0.245 lb*mol A/ft3
Fj =49.9 ft3/h T0 = 600 R
DATA:- Ti =530 R Tj0 = 594.59 RParameter values:
Vj = 3.85 ft3
k0 = 7.08 * 1010
h-1
E = 30000 Btu/lb*mol R = 1.99 Btu/lb*mol*RU = 150 Btu/h*ft2*R AH = 250 ft
2
Tji = 530 R H = -30000 Btu/lb*molCp = 0.75 Btu/lbm*R Cj = 1.0 Btu/lbm*R = 5 0 l bm/ft
3 j = 62.3 lbm/ft3
kc =4( f t3/h)/ R Tset = 600 R
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By equations 1to4 and i to iii
PROGRAMING OF CSTRPOLYMATH (VER. -3.01)
%Disturbance is step change in CA at time zero from 0.5 to 0.55%
d(V)/d(t)=40-F
d(C)/d(t)=(F*(0.55-C))/V-k*C
d(T)/d(t)=(F*(530-T))/V+(30000*k*C)/37.5-Q/37.5/Vd(Tj)/d(t)=(Fj*(530-Tj))/3.85+Q/240
F=40-10*(48-V)
k=7.08*10^10*exp(-30000/1.99/T)
Fj=49.9-4*(600-T)Q=150*250*(T-Tj)
t(0)=0,V(0)=48,C(0)=0.245,T(0)=600,Tj(0)=594.59
t(f)= 6
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tt VV CC TT TjTj FF FjFj QQ
00 4848 0.2450.245 600.000600.000 594.590594.590 40.0040.00 49.90049.900 202875.00202875.00
0.150.15 4848 0.2500.250 600.197600.197 594.775594.775 40.0040.00 50.68750.687 203297.48203297.48
0.30.3 4848 0.2540.254 600.699600.699 594.957594.957 40.0040.00 52.69552.695 215309.24215309.24
0.450.45 4848 0.2560.256 601.249601.249 595.312595.312 40.0040.00 54.89854.898 222662.46222662.46
0.60.6 4848 0.2570.257 601.756601.756 595.517595.517 40.0040.00 56.92656.926 233972.47233972.47
0.750.75 4848 0.2580.258 602.134602.134 595.765595.765 40.0040.00 58.43758.437 238859.74238859.74
0.90.9 4848 0.2570.257 602.392602.392 595.855595.855 40.0040.00 59.46759.467 245122.52245122.52
1.051.05 4848 0.2570.257 602.523602.523 595.962595.962 40.0040.00 59.99359.993 246033.87246033.87
1.21.2 4848 0.2560.256 602.575602.575 595.957595.957 40.0040.00 60.20060.200 248157.91248157.91
1.351.35 4848 0.2560.256 602.564602.564 595.981595.981 40.0040.00 60.15660.156 246864.43246864.43
1.51.5 4848 0.2560.256 602.532602.532 595.940595.940 40.0040.00 60.02660.026 247173.40247173.40
1.651.65 4848 0.2560.256 602.486602.486 595.938595.938 40.0040.00 59.84559.845 245552.23245552.23
1.81.8 4848 0.2560.256 602.450602.450 595.901595.901 40.0040.00 59.70159.701 245581.50245581.50
1.951.95 4848 0.2560.256 602.420602.420 595.902595.902 40.0040.00 59.58159.581 244446.69244446.69
2.12.1 4848 0.2560.256 602.404602.404 595.880595.880 40.0040.00 59.51759.517 244671.09244671.09
R
ESU
LT
S
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tt VV CC TT TjTj FF FjFj QQ
2.252.25 4848 0.2560.256 602.394602.394 595.886595.886 40.0040.00 59.47759.477 244053.25244053.25
2.42.4 4848 0.2560.256 602.393602.393 595.875595.875 40.0040.00 59.47259.472 244418.25244418.25
2.552.55 4848 0.2560.256 602.394602.394 595.884595.884 40.0040.00 59.47459.474 244099.96244099.96
2.72.7 4848 0.2560.256 602.398602.398 595.879595.879 40.0040.00 59.49059.490 244458.74244458.74
2.852.85 4848 0.2560.256 602.400602.400 595.887595.887 40.0040.00 59.50159.501 244261.51244261.51
33 4848 0.2560.256 602.404602.404 595.883595.883 40.0040.00 59.51559.515 244537.67244537.67
3.153.15 4848 0.2560.256 602.405602.405 595.888595.888 40.0040.00 59.52159.521 244380.66244380.66
3.33.3 4848 0.2560.256 602.407602.407 595.885595.885 40.0040.00 59.52859.528 244569.34244569.34
3.453.45 4848 0.2560.256 602.407602.407 595.889595.889 40.0040.00 59.52859.528 244434.21244434.21
3.63.6 4848 0.2560.256 602.408602.408 595.886595.886 40.0040.00 59.53059.530 244560.25244560.25
3.753.75 4848 0.2560.256 602.407602.407 595.888595.888 40.0040.00 59.52859.528 244449.20244449.20
3.93.9 4848 0.2560.256 602.407602.407 595.886595.886 40.0040.00 59.52859.528 244537.41244537.41
4.054.05 4848 0.2560.256 602.407602.407 595.888595.888 40.0040.00 59.52659.526 244452.10244452.10
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Temp. V/S Time
594.500
595.000
595.500
596.000
596.500
0 2 4 6 8
Time
Tj
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Heat V/S Time
0.00
50000.00
100000.00
150000.00200000.00
250000.00
300000.00
0 2 4 6 8
Time
Q
Heat transferrate V/S Time
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Now for : +20%CA0, KC=2.5
0.22
0.23
0.24
0.25
0.26
0.27
0 2 4 6 8
Co
.C
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0
10
20
30
40
50
60
0 2 4 6 8
Time
Vol.(V)
598
600
602
604606
608
610
612
614
616
0 2 4 6 8
Tim e
Tem
p(T)
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594
596
598
600
602
604
606
0 2 4 6 8
Time
Temp(Tj)
0
10
20
30
40
50
0 2 4 6 8
Time
Flowrate(F)
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0
20
40
60
80
100
0 2 4 6 8
Time
Flowr
ate(Fj)
0
100000
200000
300000
400000
500000
0 2 4 6 8
Time
Hea
t(Q)
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Now for:- +20%F0, Kc=4
0.24
0.245
0.25
0.255
0.26
0.2650.27
0.275
0.28
0 2 4 6 8
o
c
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47.8
48
48.2
48.4
48.6
48.8
49
0 2 4 6 8
Time
Vol
.(V)
599
600
601
602
603
604
605
0 2 4 6 8
Time
Tem
p.(
T)
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594
594.5
595
595.5
596
596.5
597
0 2 4 6 8
Time
Tem
p.(
Tj)
0
10
20
30
40
50
60
0 2 4 6 8
Time
Flowr
ate(F)
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0
10
20
30
40
50
60
70
0 2 4 6 8
Time
Flowra
te(Fj)
0
50000
100000
150000
200000
250000
300000
0 2 4 6 8
Tim e
Heat(
Q)
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REFERENCES
1. Continuous stirred tank reactor modelsDr. M.J.WillisDept. of chemical & Process engineering,University of Newcastle.
2. Process Modeling, Simulation & Control for chemicalengineers.William L. Luyben. (second edition).
3. Chemical process controlGeorge Stephanopoulos.
4. Process dynamics Modeling, Analysis, and simulationB. Wayne Bequette.