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  4. Continuation methods for the optimization of distillation columns
 
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2026
Doctoral Thesis
Title

Continuation methods for the optimization of distillation columns

Abstract
Distillation plays a major role in chemical process engineering, enabling the separation of liquid mixtures into pure components. However, this process is very energy-intensive. To identify operating points with minimal energy demand that still meet product specifications, it is necessary to solve the MESH equations - a challenging, strongly nonlinear and high-dimensional system.
In this thesis, this problem is tackled by presenting a numerically more stable approach based on a nonlinear reduction method using stage-to-stage computations, combined with homotopy continuation methods. The new approach is rigorously analyzed and, for the first time, convergence guarantees for solving the MESH equations are established under standard modeling assumptions. Numerical case studies demonstrate the robustness in identifying low-energy operating points while avoiding unphysical solutions that can arise with conventional methods.
Thesis Note
Zugl.: Kaiserslautern, TU, Diss., 2025
Author(s)
Mogalle, David
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Publisher
Fraunhofer Verlag  
Open Access
File(s)
Download (4.43 MB)
Link
Link
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.24406/publica-6808
Language
English
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Keyword(s)
  • Nonlinear optimization

  • Process simulation

  • Continuation method

  • Distillation

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