Page 344 - Elements of Chemical Reaction Engineering Ebook
P. 344

Sec. 6.4   Sorting It All Out                                   31 5

                              6.4  Sorting It All Out
                              In Example 6-8 we were given the rate !aws and asked to calculate the product dis-
                              tributiom. The inverse of the problem described in Example 643 must frequently be
                               solved. Specifically, the rate laws often must be determined from the variation in
                               the product distribution generated by changing the feed concentrations. In some
                               instances this determination may not be possible without carrying out indepen-
                               dent experiments on some of the reactions in the sequence. The best strategy to
                               use to sort out all of the rate law parameters will vary from reaction sequence to
                               reaction sequence. Consequently, the strategy developed for one system may not
                               be the best approach for other multiple-reaction systems. One general rule is to
                               start an analysis by looking for species produced in only one reaction; next, study
                               the species involved in only two reactions, then three. and so on.
                                    When the intermediate products (e.g., species G) are free radicals, it may
                               not be ]possible to perform independent experiments to determine the rate law
                      Nonlinear   parameters.  Consequently,  we  must  deduce  the  rate  law  parameters  from
                    lcast-squares   changes in  the  distribution  of  reaction  products  with  feed  conditions.  Urtder
                               these circumstances, the analysis turns into an optimization problem to estimate
                               the best values  of  the parameters  that will  minimize  the  sums of  the  squiues
                               between the calculated variables and measured variables. This process is basi-
                               cally the same as that described in Section 5.4.2, but more complex, owing to
                               the larger number of  parameters to be determined. We begin by  estimating the
                               12 parameter values using some of the methods just discussed. Next, we use our
                               estimates to use nonlinear regression techniques to determine the best estim<ates
                               of our parameter values from the data for all of the  experiment^.^ Software pack-
                               ages such as SimuSolvlo are becoming available for an analysis such as this one.

                               6.5  The Fun Part
                               I'm  not  talking  about fun you  can have at  an  amusement  park, but  CRE fun.
                               Now that we have an understanding on how to solve for the exit concentrations
                               of  multiple  reactions  in  a  CSTR  and  how  to  plot  the  species  concentralion
                               down the length of  a PFR or PBR, we can address one of  the most important
                               and fun areas of chemical reaction engineering. This area, discussed in Secl.ion
                               6.1, is learning how to maximize the desired product and minimize the undes-
                               ired product.  It  is this area that can make or break a chemical process  finan-
                               cially.  It  is  also  an  area  that  requires  creativity  in  designing  the  reactor
                               schemes and feed conditions that will maximize profits. Here you can mix and
                               match reactors, feed streams, and side streams as well as vary the ratios of feed
                               concenlration  in order to maximize or minimze the selectivity of  a particular
                                species  Problems  of  this type  are what I  call digital-age  problem" because

                                 See, for  example, Y.  Bard, Nonlinear Parameter  Estimation, (Academic Press, San
                                 Diego, Calif.:  1974).
                               lo The  SimuSolv Computer Program is  a  proprietary  product of  The  Dow  Chemical
                                 Company that is leased  with  restricted rights according to license terms and condi-
                                 tions. SimuSolv is a trademark of The Dow Chemical Company.
                                 H. Scott Fogler, Teaching Critical Thinking, Creative Thinking, and Problem Solving
                                 in the Digital Age, Phillips Lecture (Stillwater, Okla.: OSU Press, 1997).
   339   340   341   342   343   344   345   346   347   348   349