Page 281 - Elements of Chemical Reaction Engineering 3rd Edition
P. 281

Sec. 5.5   Least-Squares Analysis                              253

                                where

                                      s2 = C (r,m - r,Jz
                                       N  = number of runs
                                       K  = number of  parameters to be determined
                                      rrrn = measured reaction rate for run i  (i.e., - rAIm)
                                      r,, = calculated reaction rate for run i (i.e~, - rAr,)
                                To illustrate this technique,  let's  consider the first-order reaction
                                                         A  --+  Product

                                for which we want to learn the reaction order, a, and the specific reaction rate, k,
                                                               = kCi

                                The reaction rate will be measured at a number of  different concentrations and
                                these measurements  are shown on the left of Table 5-2.
                                     We now  choose values of k and a and calculate the rate of reaction (rlC)
                                at each concentration at which an experimental point was taken. We then subtract
                                the calculated value from the measured value ( rllrL), square the result, and sum
                                the squares for all the runs for the values of k and CY  we have choosen. For exam-
                                ple, consider the data set given for runs  1 through 4 in the second and third col-
                                umns. In trial  1 we first guess k = 1 and CY  = 1 and then calculate the rate based
                                on these  values. For run  1 the calculated  value of  the rate is  r, = (1)(0.6)' =
                                0.6.  The  difference  between  the  measured  rate  and  the  calculated  rate  is
                                Y,,  - r,,  = 1.9 - 0.6 = 1.3. The squareddifference (rrm - rrm)*is 1.69. Weniake
                                similar calculations for runs 2 through 4 and they are shown in the sixth column.
                                Next we sum up all the squared differences  [s2 = Cr(r,, - r,,)2] for all the runs
                                and obtain s2 = 114.04 for the values chosen: CY  = 1, k  = 1. Next choose new
                                values of  a and k. In the  seventh and eighth  columns  the calculated rate  and
                    Finding values   the differences (rflj1 - r,,)2 are given for CY  = 1, k  = 4. Next, new values for k
                     Of   and  to   and CY  are chosen and the procedure is repeated. Initial estimates of k and a can
                     rninirmze u2
                                be obtained by a linearized least-squares analysis. Table 5-2 shows an exarnple
                                of  how the sum of the squares (u: and 0:) is calculated for N.

                                                                                               -
                                         Trial 1       Trial 2    Trial 3     Trial 4     Trial 5
                              -                                                                -
                           Data       k=l,oc=l       k=4,a=1  k=4,a=1.5  k=5,cu=1.5     k=5,a=2
                                   r,  r,  - r,  (r,  - r,)*  r,.
                               7,
                              -                        (r," - r,)*   r,  (r," - rCl2  r,  (r,n - r,)*   rc   (rm - r,I2
                                                                                               -
                                                                            -
                                1.9   0.6   1.3   1.69  2.4   0.25   1.86   0.0016  2.32   0.18   1.80   0.01
                               3.1   0.8   2.3   5.29  3.2   0.01   2.86   0.06   3.58   0.23   3.2   0.01
                               5.1   1.0   4.1   16.81   4.0   1.21   4.0   1.21   5.0   0.01   5.0   0.01
                               11.0   1.5   9.5   90.25  6.0   25.0   7.35  13.32   9.19   3.28   11.25   0.06
                                                                                          --
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