Multi-Objective Optimization and Decision Support in Process Engineering - Implementation and Application

Jakob Burger; Norbert Asprion; Sergej Blagov; Roger Böttcher; Uwe Nowak; Michael Bortz; Richard Welke; Karl Heinz Küfer; Hans Hasse

doi:10.1002/cite.201400008

Multi-Objective Optimization and Decision Support in Process Engineering - Implementation and Application

Jakob Burger, Norbert Asprion, Sergej Blagov, Roger Böttcher, Uwe Nowak, Michael Bortz, Richard Welke, Karl Heinz Küfer, Hans Hasse

Publikation: Beitrag in Fachzeitschrift › Übersichtsartikel › Begutachtung

46 Zitate (Scopus)

Abstract

Chemical process design is a multi-objective optimization problem with conflicting objectives. It can be solved efficiently by calculating the Pareto frontier, a set of Pareto-optimal compromises. This work describes how multi-objective optimization and decision support techniques have been implemented in the process simulation software CHEMASIM. The Pareto frontier is calculated automatically and an innovative slider concept is used to navigate the results and to support the decision making. With the help of two examples, the optimization of the process design workflow is demonstrated.

Originalsprache	Englisch
Seiten (von - bis)	1065-1072
Seitenumfang	8
Fachzeitschrift	Chemie-Ingenieur-Technik
Jahrgang	86
Ausgabenummer	7
DOIs	https://doi.org/10.1002/cite.201400008
Publikationsstatus	Veröffentlicht - Juli 2014
Extern publiziert	Ja

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AU - Burger, Jakob

AU - Asprion, Norbert

AU - Blagov, Sergej

AU - Böttcher, Roger

AU - Nowak, Uwe

AU - Bortz, Michael

AU - Welke, Richard

AU - Küfer, Karl Heinz

AU - Hasse, Hans

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AB - Chemical process design is a multi-objective optimization problem with conflicting objectives. It can be solved efficiently by calculating the Pareto frontier, a set of Pareto-optimal compromises. This work describes how multi-objective optimization and decision support techniques have been implemented in the process simulation software CHEMASIM. The Pareto frontier is calculated automatically and an innovative slider concept is used to navigate the results and to support the decision making. With the help of two examples, the optimization of the process design workflow is demonstrated.

KW - Decision support

KW - Multi-objective optimization

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KW - Process design

KW - Software tool

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Multi-Objective Optimization and Decision Support in Process Engineering - Implementation and Application

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