Page 422 - Analysis, Synthesis and Design of Chemical Processes, Third Edition
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Often, a series of case studies will need to be run using a base-case simulation as a starting point. This is
                    especially  true  when  performing  a  parametric  optimization  on  the  process  (see Chapter  14).  When
                    performing such case studies, it is wise to make small changes in input parameters in order to obtain a
                    converged simulation. For example, assume that a converged simulation for a reactor module at 350°C
                    has been obtained, and a case study needs to be run at 400°C. When the equipment temperature in the
                    reactor  module  is  changed  and  the  simulation is  rerun,  it  may  be  found  that  the  simulation  does  not
                    converge.  If  this  is  the  case,  then,  for  example,  go  back  to  the  base-case  run,  change  the  reactor
                    temperature by 25°C, and see whether it converges. If it does, then the input can be changed by another
                    25°C to give the desired conditions, and so on. The use of small increments or steps when simulating
                    changes in flowsheets often produces a converged simulation when a single large change in input will not.


                    Often when simulating a process, it is the flowrate of products (not feeds) that is known—for example,
                    production  of  60,000  tonne/yr  of  chemical  X,  with  a  purity  of  99.9  wt%.  Assume  that  a  converged
                    solution has been found in which all the product specifications have been met except that the flowrate of

                    primary product is not at the desired value. For this case, it is a simple matter to multiply all the feeds to
                    the process by a factor to obtain the desired flowrate of the product; that is, just scale the solution up or
                    down by a constant factor and rerun the simulation to get the correct equipment specifications.


                    For more advanced simulation applications, such as optimizing or simulating existing plants, it may be
                    necessary or useful to use controller modules in the simulation to obtain a desired result. For example, in
                    a recycle loop it might be required that the ratio of two components entering a reactor be set at some fixed
                    value. A controller module could be used to adjust the purge flowrate from the recycle stream to obtain
                    this  ratio.  The  use  of  controller  modules  introduces  additional  recycle  loops.  The  way  in  which
                    specifications  for  controllers  are  given  can  cause  additional  convergence  problems,  and  this  topic  is
                    covered in detail by Schad [10].


                    13.4 Choosing Thermodynamic Models





                    The results of any process simulation are never better than the input data, especially the thermodynamic
                    data.


                          Everything  from  the  energy  balance  to  the  volumetric  flowrates  to  the  separation  in  the
                          equilibrium-stage units depends on accurate thermodynamic data.



                    If reaction kinetics information is missing, the simulator cannot calculate the conversion from a given
                    reactor volume. Because such a calculation is not possible, only equilibrium reactor modules and those
                    with specified conversions can be used.


                          Unfortunately, process simulators have default thermodynamics packages, which will—without
                          warning—blindly miscalculate the entire flowsheet.


                    Only  a  few,  readily  available  data  are  required  to  estimate  the  parameters  in  simple  thermodynamic

                    models.  If  the  critical  temperature  and  critical  pressure  are  known  for  each  pure  component,  the
                    parameters for simple, cubic equations of state can be estimated. Even if these critical properties are
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