Property Methods In Aspen Plus

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Property Methods In Aspen Plus 1 Ref: Physical Property Methods and Models, Aspen Technology, Inc., 2006

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Property Methods In Aspen Plus. Ref: Physical Property Methods and Models, Aspen Technology, Inc. , 2006 . Property Methods. A property method is a collection of property calculation routes. Thermodynamic properties: • Phase equilibrium (VLE, LLE, VLLE) • Enthalpy • Entropy - PowerPoint PPT Presentation

Transcript of Property Methods In Aspen Plus

Page 1: Property Methods In Aspen Plus

Property Methods In Aspen Plus

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Ref: Physical Property Methods and Models, Aspen Technology, Inc., 2006

Page 2: Property Methods In Aspen Plus

Property MethodsA property method is a collection of property calculation routes.

Thermodynamic properties:• Phase equilibrium (VLE, LLE, VLLE)• Enthalpy• Entropy• Gibbs free energy• Molar volume

Transport properties:• Viscosity• Thermal conductivity• Diffusion coefficient• Surface tension

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Property MethodsIt is important to choose the right property method for an

application to ensure the success of your calculation.

The classes of property methods available are:• IDEAL• Liquid fugacity and K-value correlations• Petroleum tuned equations of state• Equations of state for high pressure hydrocarbon applications• Flexible and predictive equations of state• Liquid activity coefficients• Electrolyte activity coefficients and correlations• Solids processing• Steam tables

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EOS Method1- Vapor-Liquid Equilibrium

At Equilibrium:

Where

Therefore

li

vi ff

tili

liti

vi

vi PxfPyf ,

vi

li

i

ivli x

yk

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EOS Method2- Liquid-Liquid Equilibrium

At Equilibrium:

Where

Therefore

21 li

li ff

tli

li

lit

li

li

li PxfPxf 222111 ,

1

2

2

121

li

li

li

lill

i xxk

5

Page 6: Property Methods In Aspen Plus

EOS Method3- Vapor-Liquid-Liquid Equilibrium

At Equilibrium:

Where

Therefore

vi

li

li fff 21

tivi

vi

tli

li

lit

li

li

li

PyfPxfPxf

222111 ,

vi

li

li

ivliv

i

li

li

ivli x

ykxyk

2

2

21

1

1 , 6

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EOS Method4- Fugacity Coefficient Formula

m

V

nVTii ZdV

VRT

nP

RTj

ln1ln,,

Cubic Equations of State in the Aspen Physical Property SystemRedlich-Kwong(-Soave) based Peng-Robinson basedRedlich-Kwong (RK) Standard Peng-Robinson(PENG-ROB)Standard Redlich-Kwong-Soave(RK-SOAVE ) Peng-Robinson(PR-BM)Redlich-Kwong-Soave (RKS-BM) Peng-Robinson-MHV2Redlich-Kwong-ASPEN(RK-ASPEN) Peng-Robinson-WSSchwartzentruber-RenonRedlich-Kwong-Soave-MHV2Predictive SRK (PSRK)Redlich-Kwong-Soave-WS 7

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EOS Method5- Standard RK-SOAVE

)( bVVa

bVRTP

mmm

Where

i

iii j

ijjiji bxbkaaxxa ,)1()( 5.0

ci

cii

ci

ciii P

RTbPTRa 08664.0,42747.0

22

225.0 176.057.148.0,)]1(1[)( iiiriii mTmT 8

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EOS Method6- Standard PENG-ROB

)()( bVbbVVa

bVRTP

mmmm

Where

i

iii j

ijjiji bxbkaaxxa ,)1()( 5.0

ci

cii

ci

ciii P

RTbPTRa 07780.0,45724.0

22

225.0 26992.054226.137464.0,)]1(1[)( iiiriii mTmT 9

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EOS Method7- Advantages and Disadvantages

Equations of state can be used over wide ranges of temperature and pressure, including subcritical and supercritical regions.

Thermodynamic properties for both the vapor and liquid phases can be computed with a minimum amount of component data.

For the best representation of non-ideal systems, you must obtain binary interaction parameters from regression of experimental VLE data. Binary parameters for many component pairs are available in the Aspen databanks.

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EOS Method7- Advantages and Disadvantages…

Equations of state are suitable for modeling hydrocarbon systems with light gases such as CO2 , N2 and H2 S .

The assumptions in the simpler equations of state (SRK, PR, Lee-Kesler , … ) are not capable of representing highly non-ideal chemical systems, such as alcohol-water systems. Use the activity-coefficient options sets for these systems at low pressures. At high pressures, use the predictive equations of state.

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EOS Method8- Enthalpy calculation

Vapor Enthalpy:

Liquid Enthalpy:

Where:

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Standard enthalpy of formation for ideal gas at 298.15 K and 1 atm

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Activity Coefficient Method 1- Vapor-Liquid Equilibrium

At Equilibrium: Where Therefore

F0r ideal gas and liquid

li

vi ff

liii

liti

vi

vi fxfPyf *,,

tvi

lii

i

ivli P

fxyk

*,

LawsRaoultPP

xyk

t

i

i

ivli

vii '1,1

*

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Activity Coefficient Method 2- Liquid-Liquid Equilibrium

At Equilibrium:

Where

Therefore

21 li

li ff

li

li

li

li

li

li

li

li fxffxf *,*, 222111 ,

1

2

2

121

li

li

li

lill

i xxk

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Activity Coefficient Method 3- Vapor-Liquid-Liquid Equilibrium

At Equilibrium:

Where

Therefore

vi

li

li fff 21

tivi

vi

li

li

li

li

li

li

li

li

Pyffxffxf

*,*, 222111 ,

tvi

li

li

li

ivli

tvi

li

li

li

ivli P

fxyk

Pf

xyk

*,*, 2

2

21

1

1 , 15

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Activity Coefficient Method 4- Liquid Phase Reference Fugacity

For solvents: The reference state for a solvent is defined as pure component in the liquid state, at the temperature and pressure of the system.

i*,v = Fugacity coefficient of pure component i at the system

temperature and vapor pressures, as calculated from the vapor phase equation of state

qi*,l = Poynting factor

)11(,),( *,*,*,*,*, iil

il

il

iv

il

i xasPPTf q

P

P

li

li l

i

dPVRT *,

*,*, 1expq16

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Activity Coefficient Method 4- Liquid Phase Reference Fugacity

For dissolved gases: Light gases (such as O2 and N2 ) are usually supercritical at the temperature and pressure of the solution. In that case pure component vapor pressure is meaningless and therefore it cannot serve as the reference fugacity.

Using an Empirical Correlation: The reference state fugacity is calculated using an empirical correlation. Examples are the Chao-Seader or the Grayson-Streed model.

01** iiiiil

i xasandHxf

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Activity Coefficient Method 5- Multicomponent Mixtures

Multicomponent vapor-liquid equilibria are calculated from binary parameters. These parameters are usually fitted to binary phase equilibrium data (and not multicomponent data) and represent therefore binary information. The prediction of multicomponent phase behavior from binary information is generally good.

Multi-component liquid-liquid equilibria cannot be reliably predicted from binary interaction parameters fitted to binary data only. In general, regression of binary parameters from multi-component data will be necessary.

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Activity Coefficient Method 6- NRTL (Non-Random Two-Liquid)

The NRTL model calculates liquid activity coefficients for the following property methods: NRTL, NRTL-2, NRTL-HOC, NRTL-NTH, and NRTL-RK. It is recommended for highly nonideal chemical systems, and can be used for VLE, LLE and VLLE applications.

jk

kjk

mmjmjm

ij

kkjk

ijj

kkik

jjijij

i Gx

Gx

GxGx

Gx

Gx

ln

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Activity Coefficient Method 6-NRTL (Non-Random Two-Liquid)

Where

The binary parameters aij, bij, cij, dij, eij and fij can be determined from VLE and/or LLE data regression. The Aspen Physical Property System has a large number of built-in binary parameters for the NRTL model.

jk

kjk

mmjmjm

ij

kkjk

ijj

kkik

jjijij

i Gx

Gx

GxGx

Gx

Gx

ln

)15.273(

0,ln

1,)exp(

Tdc

TfTeTba

GG

ijijij

iiijijijijij

iiijijij

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Activity Coefficient Method 7- Advantages and Disadvantages

The activity coefficient method is the best way to represent highly non-ideal liquid mixtures at low pressures.

You must estimate or obtain binary parameters from experimental data, such as phase equilibrium data.

Binary parameters are valid only over the temperature and pressure ranges of the data.

The activity coefficient approach should be used only at low pressures (below 10 atm).

The Wilson model cannot describe liquid-liquid separation at all; UNIQUAC, UNIFAC and NRTL are suitable. 21

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Activity Coefficient Method 8- Enthalpy calculation

Vapor Enthalpy: Vapor enthalpy are computed from the EOS that selected for vapor phase (The same as EOS method).

Liquid Enthalpy:

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1. Choosing the most suitable property method.

2. Comparing the obtained predictions with data from the literature.

3. Estimate or obtain binary parameters from experimental data if necessary.

4. Generation of lab data if necessary to check the property model.

Principle Steps in Selecting the Appropriate Property Method

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Eric Carlson’s Recommendations

E?

R?

P?

Polar

Real

Electrolyte

Pseudo & Real

Vacuum

Non-electrolyte

Braun K-10 or ideal

Chao-Seader,Grayson-Streed or Braun K-10

Peng-Robinson,Redlich-Kwong-Soave,Lee-Kesler-Plocker

Electrolyte NRTLOr Pizer

See Figure 2Figure 1

Polarity

R?Real or pseudocomponents

P? Pressure

E? Electrolytes

All Non-polar

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P?

ij?

ij?

LL?

(See alsoFigure 3)

P < 10 bar

P > 10 bar

PSRKPR or SRK with MHV2

Schwartentruber-RenonPR or SRK with WSPR or SRK with MHV2

UNIFAC and its extensions

UNIFAC LLE

PolarNon-electrolytes

No

Yes

Yes

LL?No

No

Yes

Yes

NoWILSON, NRTL,UNIQUAC and their variances

NRTL, UNIQUACand their variances

LL? Liquid/Liquid

P? Pressure

ij? Interaction Parameters Available

Figure 2

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VAP?

DP?Yes

No Wilson, NRTL,UNIQUAC, or UNIFAC* with ideal Gas or RK EOS

Wilson NRTLUNIQUACUNIFAC

Hexamers

Dimers Wilson, NRTL, UNIQUAC, UNIFAC with Hayden O’Connell or Northnagel EOS

Wilson, NRTL, UNIQUAC, or UNIFAC with special EOS for Hexamers

VAP? Vapor Phase Association

Degrees of PolymerizatiomDP?UNIFAC* and its Extensions

Figure 3

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Eric Carlson’s Recommendationsfor 1-Propanol ,H2O mixture

E?Polar

Non-electrolyteSee Figure 2

Figure 1

Polarity

R?Real or pseudocomponents

P? Pressure

E? Electrolytes27

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P?

ij?

LL?

(See alsoFigure 3)

P < 10 bar

UNIFAC and its extensions

PolarNon-electrolytes

Yes

LL?No

No

NoWILSON, NRTL,UNIQUAC and their variances

LL? Liquid/Liquid

P? Pressure

ij? Interaction Parameters Available

Figure 2

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