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3.4 Gibbs-Duhem  Equation and the Phase Rule at Chemical  Equilibrium   43


         fewer  independent  variables  because  of  the  constraints  due  to  the  chemical
         reactions.
            The  criterion  of  spontaneous  change  and  equilibrium  for  a  nonreaction
         system  is  dG d 0  at  constant  7; P,  and  {n,}, but  the  criterion  for  a  system
         involving chemical reactions is dG < 0 at constant 7; P, and {n,,}. Therefore, to
         calculate the composition  of  a  reaction  system  at equilibrium,  it  is  necessary  to
         specify the  amounts of  components.  This  can be  done  by  specifying the  initial
         composition because  the initial  reactants  obviously  contain all the components,
         but  this  is  more  information  than  necessary,  as  we  will  see  in  the  chapter  on
         matrices.



            3.4  GIBBS-DUHEM EQUATION AND THE PHASE RULE
                 AT CHEMICAL EQUILIBRIUM


         The Gibbs-Duhem equation and the phase rule were discussed  briefly in Section
         2.4,  but  now  we  want  to  extend  those  considerations  to  systems  at  chemical
         equilibrium.  The degrees  of  freedom  in  a  gaseous  reaction  system  at chemical
         equilibrium  was discussed  by Alberty (1993b). The Gibbs-Duhem equation for a
         one-phase  reaction  system  at  chemical  equilibrium  is  obtained  by  using  the
         complete  Legendre  transform  U' = U + PI/ - TS - Cn,,p, to  interchange  the
         roles of amounts of components and the chemical potentials of components. Thus
         the Gibbs-Duhem  equation corresponding  with equation 3.3-4 is

                                                  C
                              0 = -SdT  + VdP - 1 n,,dp,                 (3.4-1)
                                                 i=  1
         This shows that there are C + 2 intensive variables for a chemical reaction system
         at equilibrium,  but  only  C + 1 of  them  are independent  because of  this relation
         between them; in other words, for a one-phase system at chemical equilibrium the
         number F  of degrees of freedom is given by F  = C + 1. Since this is a one-phase
         system, it is evident that the phase rule for the reaction system is

                                     F=C-p+2                             (3.4-2)
         The number  of natural variables is given by

                            D=F+p=C-p+2+p=C+2                            (3.4-3)

         Since equations 3.4-2 and  3.4-3 have  been  introduced  in a  rather indirect  way,
         more general  derivations are given as follows: The composition  of  a phase  in  a
         system  involving  chemical  reactions  can  be  specified  by  stating  C - 1  mole
         fractions,  and the  composition  of  p  phases  can be  specified by  stating p(C - 1)
         mole  fractions.  If  T  and  P  are independent  intensive  variables,  the number  of
         independent intensive variables is equal to p(C - 1) + 2. The number of relation-
         ships between  the  chemical  potentials  of  a  single component between  phases  is
         p  - 1. Since there are C components, there are C(p - 1) equilibrium relationships.
         The difference F  between  the number of  independent  intensive variables  and the
         number of relationships is given by F  = p(C - 1) + 2 - C(p - 1) = C - p  + 2. In
         order to  describe  the extensive  state of  the  system, it  is necessary  to  specify in
         addition  the amounts of  the p  phases, and so D = F  + p  = C + 2. When special
         constraints  are  involved,  the  number  s of  these  special  constraints  must  be
         included  in  the  phase  rule  to give  F  = C - p  + 2 - s. An  example  of  a  special
         constraint  would  be  taking  the  amounts  of  two  reactants  in  the  ratio  of  their
         stoichiometric  numbers  in  a  reaction.  Further  independent  work  terms  in  the
         fundamental  equation  increase D and F. The numbers  F  and D are unique,  but
         the choices of independent intensive variables and independent extensive variables
         are not.
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