constitutive relations

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© CAPE Centre, The University of Queensland Hungarian Academy of Sciences PROCESS MODELLING AND MODEL ANALYSIS Constitutive Relations

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Constitutive Relations. What are constitutive relations?. Relate conserved extensive quantities to intensive variables Help define physico-chemical quantities (e.g. enthalpies, densities, viscosities ,…) Define transfer rates (mass, energy, …) Other relations to “constitute” the model. - PowerPoint PPT Presentation

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Page 1: Constitutive Relations

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

Constitutive Relations

Page 2: Constitutive Relations

2

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

What are constitutive relations?

Relate conserved extensive quantities to intensive variables

Help define physico-chemical quantities (e.g. enthalpies, densities, viscosities ,…)

Define transfer rates (mass, energy, …) Other relations to “constitute” the model

Page 3: Constitutive Relations

3

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

How do constitutive relations arise ?

qJt

Related to the terms in the conservation equations for mass, energy and momentum

• Constraints on the system (control relations)

• Convective flow terms (process streams)

• Molecular flow streams (fluxes)• Internal processes

• Defining intensive variables in terms of extensive quantities and other physico-chemical properties

Page 4: Constitutive Relations

4

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

Balance volumes, flows and system processes

Hot oil in

Hot oil out

EM ,1S

EM ,2S

Hot oil in

Hot oil out

EM ,1S

EM ,2S

E3S

Hot o il in

Hot o il out

Cold feed in

Heated liqu id out

EM ,1S

EM ,2S

Q hQ rloss

Q hloss

Hot o il in

Hot o il out

Cold feed in

Heated liqu id out

EM ,1S

EM ,2S

E3S

Q rloss Q h

Q hloss

Q r

Page 5: Constitutive Relations

5

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

Classes of Relations

ConstitutiveEquations

Property definitions

Balance volumerelations

Reaction rates

Equipment andcontrol constraints

Transfer relations

Page 6: Constitutive Relations

6

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

1. Transfer Relations

General form

Particular forms

mass transfer

heat transfer

)()(),(),( rprprprate

GGGCCKj *

TUAqCV

Page 7: Constitutive Relations

7

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

2. Reaction rates

Reaction rate

General reaction expression

dt

dn

Vr i

i

1

RT

E

A

BAAA

ekk

CCfkr

0

,...,

Page 8: Constitutive Relations

8

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

3. Thermodynamic relations

Property relations (density, viscosity, …)

Equilibrium relations Raoult’s law Relative volatility, K-value Activity coefficient

),,(iLxTPf

Page 9: Constitutive Relations

9

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

Thermodynamic properties

Enthalpy

linear

nonlinear

T

T pR RdTTcThTh )()()(

VAPp

p

TcTh

TcTh

)(

)(

T

T p

p

dTTcThTh

TaTaac

0)()()(

...

0

2

210

Page 10: Constitutive Relations

10

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

Thermodynamic properties

Equations of state

ideal gas

cubic EoS

– SRK– Peng Robinson– NRTL

nRTPV

),( TVfP

Page 11: Constitutive Relations

11

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

4. Balance volume relations

Relations between phases

LGVVV

VG

VL

Page 12: Constitutive Relations

12

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

5. Equipment and Control

Sensors

)(

)(~

)(~)(

TT

dt

dT

TTMc

AU

dt

dT

TTAUdt

TMcd

dt

dU

f

f

p

f

p

TT f

Fluid

Page 13: Constitutive Relations

13

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

6. Control Elements

Transmitters (4-20mA, 20-100kPa)

gain theisG

zero theis

signalinput theis

)(

0

0min

z

I

GzIOO

p

ppp

Page 14: Constitutive Relations

14

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

Controllers

Traditional (P, PI, PID)

dt

dKdt

KKBO

dtK

KBO

KBOSKBO

DC

I

C

CC

I

C

CC

CPPCC

)(

Page 15: Constitutive Relations

15

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

Actuators on valves

factor damping andconstant time,

gainactuator

1)-(0movement stem

22

2

2

a

a

G

S

IGSdt

dS

dt

Sd

x

Pdiaphragm area, A

stem velocity, v

stem packing

plug and seat

Page 16: Constitutive Relations

16

© CAPE Centre, The University of Queensland Hungarian Academy of Sciences

PROCESS MODELLING AND MODEL ANALYSIS

Valves

Static valves

Control valves characteristics

PCFV

PScCFV

)(

root square )(

percentage equal )(

linear )(1

SSc

aSc

SScS