Apps.DistillationColumn History

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December 05, 2011, at 11:13 PM by 69.169.188.228 -
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This distillation column is a separation of cyclohexane and n-heptane. The two components are separated over 30 theoretical trays. In general, distillation column models are generally good test cases for nonlinear model reduction and identification. The concentrations at each stage or tray are highly correlated. The dynamics of the distillation process can be described by a relatively few number of underlying dynamic states. This model was published in:

to:

This distillation column is a separation of cyclohexane and n-heptane. The two components are separated over 30 theoretical trays. In general, distillation column models are generally good test cases for nonlinear model reduction and identification. The concentrations at each stage or tray are highly correlated. The dynamics of the distillation process can be described by a relatively few number of underlying dynamic states.

This model was published in:

May 26, 2010, at 06:01 AM by 158.35.225.240 -
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  • (:html:)<a href="/online/view_pass.php?f=distill.apm">Solve Model Online Through a Web-based Interface</a>(:htmlend:)
May 26, 2010, at 05:58 AM by 158.35.225.240 -
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  • Solve model online
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March 06, 2010, at 02:39 AM by 206.180.155.75 -
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Hahn, J. and T.F. Edgar, An improved method for nonlinear model reduction using balancing of

empirical gramians, Computers and Chemical Engineering, 26, pp. 1379-1397, (2002)

to:

Hahn, J. and T.F. Edgar, An improved method for

nonlinear model reduction using balancing of

empirical gramians, Computers and Chemical

Engineering, 26, pp. 1379-1397, (2002)

February 22, 2010, at 07:27 PM by 206.180.155.75 -
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  • [http://apmonitor.ath.cx/online/view_pass.php?f=distill.apm| Solve model online]
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  • Solve model online
February 22, 2010, at 07:25 PM by 206.180.155.75 -
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  • [http://apmonitor.ath.cx/online/view_pass.php?f=distill.apm| Solve model online]
April 23, 2009, at 10:29 AM by 158.35.225.231 -
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APMonitor Modeling Language

http://www.apmonitor.com

Binary Distillation Column from

Hahn, J. and T.F. Edgar, An improved method for nonlinear model reduction using balancing of

empirical gramians, Computers and Chemical Engineering, 26, pp. 1379-1397, (2002)

Liquid mole fraction of component A

at reflux ratio = 2

Condenser 0.93541941614016

Tray 1 0.90052553715795

Tray 2 0.86229645132283

. 0.82169940277993

. 0.77999079584355

. 0.73857168629759

. 0.69880490932694

. 0.66184253445732

. 0.62850777645505

. 0.59925269993058

. 0.57418567956453

. 0.55314422743545

. 0.53578454439850

. 0.52166550959767

. 0.51031495114413

. 0.50127509227528

. 0.49412891686784

. 0.48544992019184

. 0.47420248108803

. 0.45980349896163

. 0.44164297270225

. 0.41919109776836

. 0.39205549194059

. 0.36024592617390

. 0.32407993023343

. 0.28467681591738

. 0.24320921343484

. 0.20181568276528

. 0.16177269003094

Tray 29 0.12514970961746

Tray 30 0.09245832612765

Reboiler 0.06458317697321

Model binary

  Parameters
    ! reflux ratio
    rr = 0.7

    ! Feed Flowrate (mol/min)
    Feed =  2.0 ! 24.0/60.0
    ! Mole Fraction of Feed
    x_Feed = 0.5
    ! Relative Volatility = (yA/xA)/(yB/xB) = KA/KB = alpha(A,B)
    vol=1.6
    ! Total Molar Holdup in the Condenser
    atray=0.25
    ! Total Molar Holdup on each Tray
    acond=0.5
    ! Total Molar Holdup in the Reboiler
    areb=0.1
  End Parameters

  Variables
    ! mole fraction of component A
    x[1:32] = 0.3
  End Variables

  Intermediates
    ! Distillate Flowrate (mol/min)
    D=0.5*Feed
    ! Flowrate of the Liquid in the Rectification Section (mol/min)
    L=rr*D
    ! Vapor Flowrate in the Column (mol/min)
    V=L+D
    ! Flowrate of the Liquid in the Stripping Section (mol/min)
    FL=Feed+L

    ! Vapor Mole Fractions of Component A
    ! From the equilibrium assumption and mole balances
    ! 1) vol = (yA/xA) / (yB/xB)
    ! 2) xA + xB = 1
    ! 3) yA + yB = 1
    y[1:32] = x[1:32]*vol/(1+(vol-1)*x[1:32])
  End Intermediates

  Equations
    ! condenser
    acond * $x[1] = V*(y[2]-x[1])

    ! 15 column stages
    atray * $x[2:16]  = L*(x[1:15]-x[2:16]) - V*(y[2:16]-y[3:17])

    ! feed tray
    atray * $x[17] = Feed*x_Feed + L*x[16] - FL*x[17] - V*(y[17]-y[18])

    ! 14 column stages
    atray * $x[18:31] = FL*(x[17:30]-x[18:31]) - V*(y[18:31]-y[19:32])

    ! reboiler
    areb  * $x[32] = FL*x[31] - (Feed-D)*x[32] - V*y[32]
  End Equations

End Model

April 23, 2009, at 10:29 AM by 158.35.225.231 -
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November 04, 2008, at 03:44 PM by 158.35.225.231 -
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November 04, 2008, at 03:44 PM by 158.35.225.231 -
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This distillation column is a separation of cyclohexane and n-heptane. The two components are separated over 30 theoretical trays. In general, distillation column models are generally good test cases for nonlinear model reduction and identification. The concentrations at each stage or tray are highly correlated. The dynamics of the distillation process can be described by a relatively few number of underlying dynamic states. This model was published in

to:

This distillation column is a separation of cyclohexane and n-heptane. The two components are separated over 30 theoretical trays. In general, distillation column models are generally good test cases for nonlinear model reduction and identification. The concentrations at each stage or tray are highly correlated. The dynamics of the distillation process can be described by a relatively few number of underlying dynamic states. This model was published in:

November 04, 2008, at 03:44 PM by 158.35.225.231 -
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Multi-component Distillation Column

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Binary Distillation Column with 30 trays (cyclohexane n-heptane)

Distillation column models are generally good test cases for nonlinear model reduction and identification. The concentrations at each stage or tray are highly correlated. The dynamics of the distillation process can be described by a relatively few number of underlying dynamic states. A couple papers have been published with this model as an example application. One in particular is:

to:

Binary Distillation Column

This distillation column is a separation of cyclohexane and n-heptane. The two components are separated over 30 theoretical trays. In general, distillation column models are generally good test cases for nonlinear model reduction and identification. The concentrations at each stage or tray are highly correlated. The dynamics of the distillation process can be described by a relatively few number of underlying dynamic states. This model was published in

November 04, 2008, at 03:35 PM by 158.35.225.231 -
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The distillation column in this example is built from a number of pre-existing model objects. The model objects used in this example include the distillation stage, feed, flash, mixer, splitter, stream lag, and vessel. These basic models are connected to form the multicomponent distillation tower.

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Binary Distillation Column with 30 trays (cyclohexane n-heptane)

Distillation column models are generally good test cases for nonlinear model reduction and identification. The concentrations at each stage or tray are highly correlated. The dynamics of the distillation process can be described by a relatively few number of underlying dynamic states. A couple papers have been published with this model as an example application. One in particular is:

Hahn, J. and T.F. Edgar, An improved method for nonlinear model reduction using balancing of empirical gramians, Computers and Chemical Engineering, 26, pp. 1379-1397, (2002)

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The figure below displays the system response after a step change in the reflux ratio from 3.0 to 1.5. Each trajectory represents the mole fraction of cyclohexane at each tray. The top reflux material becomes less pure (more n-heptane) due to the increased draw from the top of the column.

November 04, 2008, at 03:27 PM by 158.35.225.231 -
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November 04, 2008, at 03:26 PM by 158.35.225.231 -
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November 04, 2008, at 02:46 PM by 158.35.225.231 -
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November 04, 2008, at 02:45 PM by 158.35.225.231 -
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Distillation Column

Distillation column model