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Sven Kossack

Researcher at RWTH Aachen University

Publications -  9
Citations -  387

Sven Kossack is an academic researcher from RWTH Aachen University. The author has contributed to research in topics: Nonlinear programming & Optimization problem. The author has an hindex of 6, co-authored 9 publications receiving 359 citations.

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A systematic synthesis framework for extractive distillation processes

TL;DR: In this contribution, heuristic rules for entrainer selection and the design of entrainers through computer-aided molecular design are reviewed and it is shown that a screening based on selectivity alone is not sufficient and could possibly lead to an unfavorableEntrainer choice.
Journal ArticleDOI

Efficient Optimization-Based Design of Distillation Columns for Homogenous Azeotropic Mixtures

TL;DR: In this article, the robustness, reliability, and efficiency of azeotropic multicomponent mixtures is achieved through progress on two levels: the integration within a process synthesis framework allows a reduction of the complexity of the optimization superstructure and provides an excellent initialization by shortcut evaluation with the rectification body method.
Journal ArticleDOI

A Framework for the Systematic Design of Hybrid Separation Processes

TL;DR: In this article, the authors present a systematic framework for the design of separation flow sheets for non-ideal or azeotropic mixtures or hybrid separation processes, which allows the systematic generation and evaluation of separation processes and is illustrated with the case of the separation of ethanol and water.
Book ChapterDOI

An efficient solution method for the MINLP optimization of chemical processes

TL;DR: In this paper, the model formulations are reformulated to contain only continuous variables and the discrete decisions are relaxed and successively tightened in a sequential solution procedure to facilitate convergence and to obtain local optima of good quality.
Book ChapterDOI

Optimal column sequencing for multicomponent mixtures

TL;DR: In this article, the authors provide a systematic method to find the optimal column sequence based on exergy demand, which allows for the decomposition of the separation sequences into unique separation tasks.