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INTRODUCTION TO CHEMICAL
PROCESS SIMULATORS
A. Carrero, N. Quirante, J. Javaloyes
October 2016
DWSIM Chemical Process Simulator
A. Carrero , N. Quirante & J. Javaloyes
Introduction to Chemical Process Simulators
2
Contents
Monday, October 3rd 2016
 Introduction to Sequential – Modular Steady State Process
Simulators
 Get used to working with DWSIM and COCO
Monday, October 10th 2016
 Simulation of Chemical Reactors
Monday, October 17th 2016
 Simulation of Distillation Columns
Monday, October 24th 2016
 Case studies
A. Carrero , N. Quirante & J. Javaloyes
Introduction to Chemical Process Simulators
3
Simulation of Distillation Columns
Feed
Distillate
Bottoms
Condenser
Reboiler
Rectifying section
Stripping section
Equilibrium Stage
Conventional
Distillation Column
Feed
Distillate
Bottoms
A. Carrero , N. Quirante & J. Javaloyes
Introduction to Chemical Process Simulators
4
Simulation of Distillation Columns
jV
,i j
V
j
j
y
H
T
,
j
i j
F
j
F
j
F
z
H
T
, 1
1
1
i j
V
j
j
y
H
T



,i j
L
j
j
x
H
T
, 1
1
1
i j
L
j
j
x
H
T



1jV  jL
1jL 
jU
 
 
if from stage
if to stage
jQ


jW
Feed
Heat Transfer
Liquid
Side Stream
Vapor
Side Stream
Stage j
A. Carrero , N. Quirante & J. Javaloyes
Introduction to Chemical Process Simulators
5
Simulation of Distillation Columns
jV
,i j
V
j
j
y
H
T
,
j
i j
F
j
F
j
F
z
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1
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
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x
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1
1
i j
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j
j
x
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T



1jV  jL
1jL 
jU
 
 
if from stage
if to stage
jQ


jW
Feed
Heat Transfer
Liquid
Side Stream
Vapor
Side Stream
Stage j
 
 
, ,
, ,
, ,
, , ,
, ,
L V
i j i j
L
i j j j i j
V
i j j j i j
f f
f f T P x i C j NS
f f T P y

   

 
 
1 , 1 1 , 1 , ,
, 0 ,
j i j j i j j i j j j i j
j j i j
L x V y F z L U x
V W y i C j NS
      
     
, ,
1 1
1, 0
C C
i j i j
i i
y x j NS
 
    
 
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1 1 1 1
,
,
0
, ,
, ,
L V F L
j j j j j j j j j
V
j j j j
L
j j j i j
V
j j j i j
L H V H F H L U H
V W H Q j NS
H f T P x
H f T P y
      
     


Material Balance
Vapor-Liquid Equilibrium Relation
Summation Equations
Energy BalanceMESH Equations
A. Carrero , N. Quirante & J. Javaloyes
Introduction to Chemical Process Simulators
6
Simulation of Distillation Columns
MESH Equations fully describe the behavior of a distillation column.
 External to de column: these equations define the overall column total
material balances, energy balances and product composition
 Internal to de column: they describe equilibrium conditions, internal
component, total material and energy balances in each tray.
 Bubble-point methods (BP)
 Sum-rate methods (SR)
 2N Newton methods
Nonlinear and Nonconvex algebraic system of equations
 Simultaneous correction methods (SC)
 Inside-out methods (IO)
Rigorous Computational Methods
A. Carrero , N. Quirante & J. Javaloyes
Introduction to Chemical Process Simulators
7
Main Steps for the Simulation of a Conventional Distillation Column
# 1. Component Selection
# 2. Fluid package Selection
# 3. Flash Algorithm Selection
# 4. Add Distillation Column Object
# 5. Set Column Properties
 Condenser & Reboiler Pressure
 Condenser type
 Condenser & Reboiler Specifications
# 6. Set Number of Stages
# 7. Set Column Pressure Profile
# 8. Edit Column Connections
# 9. Solving Method Selection
# 10. Run Model
Simulation of Distillation Columns
A. Carrero , N. Quirante & J. Javaloyes
Introduction to Chemical Process Simulators
8
Example
Molar Flow 200 kmol/h
Pressure 1.1 bar
Vapor fraction 0
Molar Composition
xBz = 0.35
xT = 0.29
xM-xy = 0.12
xO-xy = 0.12
xP-xy = 0.12
99% recovery of Bz
98% purity of Bz
Simulation of Distillation Columns
A. Carrero , N. Quirante & J. Javaloyes
Introduction to Chemical Process Simulators
9
Column Diameter Estimation
V L
LV
L V
ML
F
V M



 
 
0.2
2
2
exp 2.979 0.717ln 0.0865 ln
20
0.997ln 0.07973ln ln
0.256 ln
T LV LV
T LV T
T
K F F
H F H
H
        
 


L V
T F T
V
v f K
 



4 V
column
A V S T
M V
D
f f v 

FLV  Liquid-Vapor flow parameter
L, V  Liquid/Vapor molar flowrate [kmol s-1]
ML,MV  Liquid/Vapor molar mass [kg kmol-1]
L, V  Liquid/Vapor density [kg m-3]
KT  Parameter for terminal velocity [m s-1]
  Surface tension [dyne cm-1]
HT  Tray spacing [m] (0,25 – 0,6 m)
vT  Vapor flooding velocity [m s-1]
fF  Foaming factor
Low/ Moderate foaming ~ [0,9 - 0,85 ]
fA  Net area factor (~0,9)
fS  Flooding velocity safety factor (~0,8)
[R. Smith. Chemical Process Design and Integration]
[H. Kister. Distillation Design]

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Distillation columns: Introduction to chemical process simulators - coco - dwsim - aspen - hysys - free - course

  • 1. INTRODUCTION TO CHEMICAL PROCESS SIMULATORS A. Carrero, N. Quirante, J. Javaloyes October 2016 DWSIM Chemical Process Simulator
  • 2. A. Carrero , N. Quirante & J. Javaloyes Introduction to Chemical Process Simulators 2 Contents Monday, October 3rd 2016  Introduction to Sequential – Modular Steady State Process Simulators  Get used to working with DWSIM and COCO Monday, October 10th 2016  Simulation of Chemical Reactors Monday, October 17th 2016  Simulation of Distillation Columns Monday, October 24th 2016  Case studies
  • 3. A. Carrero , N. Quirante & J. Javaloyes Introduction to Chemical Process Simulators 3 Simulation of Distillation Columns Feed Distillate Bottoms Condenser Reboiler Rectifying section Stripping section Equilibrium Stage Conventional Distillation Column Feed Distillate Bottoms
  • 4. A. Carrero , N. Quirante & J. Javaloyes Introduction to Chemical Process Simulators 4 Simulation of Distillation Columns jV ,i j V j j y H T , j i j F j F j F z H T , 1 1 1 i j V j j y H T    ,i j L j j x H T , 1 1 1 i j L j j x H T    1jV  jL 1jL  jU     if from stage if to stage jQ   jW Feed Heat Transfer Liquid Side Stream Vapor Side Stream Stage j
  • 5. A. Carrero , N. Quirante & J. Javaloyes Introduction to Chemical Process Simulators 5 Simulation of Distillation Columns jV ,i j V j j y H T , j i j F j F j F z H T , 1 1 1 i j V j j y H T    ,i j L j j x H T , 1 1 1 i j L j j x H T    1jV  jL 1jL  jU     if from stage if to stage jQ   jW Feed Heat Transfer Liquid Side Stream Vapor Side Stream Stage j     , , , , , , , , , , , L V i j i j L i j j j i j V i j j j i j f f f f T P x i C j NS f f T P y           1 , 1 1 , 1 , , , 0 , j i j j i j j i j j j i j j j i j L x V y F z L U x V W y i C j NS              , , 1 1 1, 0 C C i j i j i i y x j NS                1 1 1 1 , , 0 , , , , L V F L j j j j j j j j j V j j j j L j j j i j V j j j i j L H V H F H L U H V W H Q j NS H f T P x H f T P y                Material Balance Vapor-Liquid Equilibrium Relation Summation Equations Energy BalanceMESH Equations
  • 6. A. Carrero , N. Quirante & J. Javaloyes Introduction to Chemical Process Simulators 6 Simulation of Distillation Columns MESH Equations fully describe the behavior of a distillation column.  External to de column: these equations define the overall column total material balances, energy balances and product composition  Internal to de column: they describe equilibrium conditions, internal component, total material and energy balances in each tray.  Bubble-point methods (BP)  Sum-rate methods (SR)  2N Newton methods Nonlinear and Nonconvex algebraic system of equations  Simultaneous correction methods (SC)  Inside-out methods (IO) Rigorous Computational Methods
  • 7. A. Carrero , N. Quirante & J. Javaloyes Introduction to Chemical Process Simulators 7 Main Steps for the Simulation of a Conventional Distillation Column # 1. Component Selection # 2. Fluid package Selection # 3. Flash Algorithm Selection # 4. Add Distillation Column Object # 5. Set Column Properties  Condenser & Reboiler Pressure  Condenser type  Condenser & Reboiler Specifications # 6. Set Number of Stages # 7. Set Column Pressure Profile # 8. Edit Column Connections # 9. Solving Method Selection # 10. Run Model Simulation of Distillation Columns
  • 8. A. Carrero , N. Quirante & J. Javaloyes Introduction to Chemical Process Simulators 8 Example Molar Flow 200 kmol/h Pressure 1.1 bar Vapor fraction 0 Molar Composition xBz = 0.35 xT = 0.29 xM-xy = 0.12 xO-xy = 0.12 xP-xy = 0.12 99% recovery of Bz 98% purity of Bz Simulation of Distillation Columns
  • 9. A. Carrero , N. Quirante & J. Javaloyes Introduction to Chemical Process Simulators 9 Column Diameter Estimation V L LV L V ML F V M        0.2 2 2 exp 2.979 0.717ln 0.0865 ln 20 0.997ln 0.07973ln ln 0.256 ln T LV LV T LV T T K F F H F H H              L V T F T V v f K      4 V column A V S T M V D f f v   FLV  Liquid-Vapor flow parameter L, V  Liquid/Vapor molar flowrate [kmol s-1] ML,MV  Liquid/Vapor molar mass [kg kmol-1] L, V  Liquid/Vapor density [kg m-3] KT  Parameter for terminal velocity [m s-1]   Surface tension [dyne cm-1] HT  Tray spacing [m] (0,25 – 0,6 m) vT  Vapor flooding velocity [m s-1] fF  Foaming factor Low/ Moderate foaming ~ [0,9 - 0,85 ] fA  Net area factor (~0,9) fS  Flooding velocity safety factor (~0,8) [R. Smith. Chemical Process Design and Integration] [H. Kister. Distillation Design]