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Updated: Dec 11, 2025

Curtain Flow Column: Optimization of Efficiency and Sensitivity
Published on: June 12, 2016
Global optimization of distillation columns using surrogate models
Tobias Keßler1, Christian Kunde2, Nick Mertens3
1Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr. 1, 39106 Magdeburg, Germany.
Abstract:
Surrogate-based optimization of distillation columns using an iterative Kriging approach is investigated. Focus is on deterministic global optimization to avoid suboptimal local minima. The determination of optimal setups and operating conditions for ideal and non-ideal distillation columns, leading to mixed-integer nonlinear programming problems, serve as case studies. It is found that the optimization using the adapted Kriging approach yields similar results compared to the direct global optimization of the original problem in the ideal case, while it leads to a huge improvement compared to a multistart local optimization approach in the non-ideal case.
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