Im. Mujtaba et S. Macchietto, OPTIMAL OPERATION OF MULTICOMPONENT BATCH DISTILLATION MULTIPERIOD FORMULATION AND SOLUTION, Computers & chemical engineering, 17(12), 1993, pp. 1191-1207
Citations number
19
Categorie Soggetti
Computer Application, Chemistry & Engineering","Computer Applications & Cybernetics","Engineering, Chemical
A method is proposed to deter-mine optimal multiperiod operation polic
ies for binary and general multicomponent batch distillation of a give
n feed mixture, with several main products and intermediate off-specif
ication cuts. A two-level optimal control formulation is presented so
as to maximize a general profit function for the multiperiod operation
, subject to general constraints. The solution of this problem determi
nes the optimal amount of each main and off cut, the optimal duration
of each distillation step and the optimal reflux ratio profiles during
each production period. The outer level optimization maximizes the pr
ofit function by manipulating carefully selected decision variables. T
hese are chosen in such a manner that the need of specifying the mole
fractions of all the components in the products, as required by previo
us methods is avoided. For values of the decision variables fixed by t
he outer loop, the multiperiod operation is decomposed into a sequence
of independent optimal control problems, one for each production step
. In the inner loop, a minimum time problem is then solved for each st
ep to generate the optimal reflux ratio values, reflux switching times
and duration of the step. The procedure permits the use of very gener
al distillation models described by differential and algebraic equatio
ns, including rigorous thermodynamics if desired. The model equations
are integrated by using an efficient Gear's type method, the inner loo
p optimal control problems are solved using a variational method, and
all optimisations are solved using a robust and efficient successive q
uadratic programming code (Chen, Ph.D. Thesis, Imperial College, 1988)
. Several example problems (involving binary and multicomponent mixtur
es) are used to demonstrate the idea and to show the effect of the cos
t functions used (in particular the value of the main products) on the
optimal solutions.