Page 187 - Analysis, Synthesis and Design of Chemical Processes, Third Edition
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given as the volumetric flowrate, is plotted in Figure 7.1. The value for the cost exponent, n, from this
                    curve is 0.60.


                    Figure 7.1 Purchased Cost of a Centrifugal Air Blower (Data adapted from Reference [3])


































                    The  value  of  the  cost  exponent, n,  used  in Equations  7.1  and 7.2,  varies  depending  on  the  class  of
                    equipment  being  represented.  See Table  7.3.  The  value  of n  for  different  items  of  equipment  is  often

                    around 0.6. Replacing n in Equation 7.1 and/or 5.2 by 0.6 provides the relationship referred to as the six-
                    tenths rule. A problem using the six-tenths rule is given in Example 7.3.

                    Example 7.3



                    Use the six-tenths rule to estimate the percentage increase in purchased cost when the capacity of a piece
                    of equipment is doubled.
                          Using Equation 7.1 with n = 0.6,
                                                                      0.6
                                                                  C /C  = (2/1)  = 1.52
                                                            b
                                                        a
                                                % increase = ((1.52 – 1.00)/1.00)(100) = 52%

                    This simple example illustrates a concept referred to as the economy of scale. Even though the equipment
                    capacity  was  doubled,  the  purchased  cost  of  the  equipment  increased  by  only  52%.  This  leads  to  the
                    following generalization.





                          The larger the equipment, the lower the cost of equipment per unit of capacity.


                    Special care must be taken in using the six-tenths rule for a single piece of equipment. The cost exponent
                    may vary considerably from 0.6, as illustrated in Example 7.4. The use of this rule for a total chemical
                    process is more reliable and is discussed in Section 7.3.
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