Abstract
Up to now, batch distillation units have been controlled by means of dynamic programming or variational calculus, neither of which is easily implementable, particularly when multicomponent mixtures are considered. A quite different approach based on an augmented Lagrangian nonlinear programming procedure is presented in this paper. For the maximum distillate problem, an optimal policy for linear time-dependent reflux is determined for each distillation period. From three examples involving binary and ternary mixtures, it appears that the Lagrangian procedure is an efficient tool for solving batch distillation problems.
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