This paper presents a mathematical programming approach to the optimal
design of batch distillation columns. Both capital and operating cost
contributions are taken into account. The column design parameters an
d operating policy are determined simultaneously. Treating the number
of trays in the column as a decision parameter necessitates the introd
uction of a superstructure that encompasses all possible tray numbers
between a lower and an upper bound. The mathematical formulation leads
to a mixed integer dynamic optimisation problem which is solved using
an outer approximation/augmented penalty algorithm comprising a conti
nuous subproblem involving the optimisation of a column with a fixed n
umber of trays and a master problem involving the solution of a. small
mixed integer linear programming (MILP) problem that determines the n
umber of trays to be considered at the next iteration of the algorithm
. The methodology presented is illustrated by its application to the d
esign of a plant involving a sequence of two batch distillation column
s. (C) 1998 Elsevier Science Ltd. All rights reserved.