Global optimization of superstructures and decision support via a universally applicable optimization tool

Publikationstyp
Conference Paper
Date Issued
2018-07
Sprache
English
Author(s)
Zimmermann, Kristina  
Fieg, Georg  
Institut
Prozess- und Anlagentechnik V-4  
TORE-URI
http://hdl.handle.net/11420/2527
First published in
Computer aided chemical engineering  
Number in series
44
Start Page
763
End Page
768
Citation
Computer Aided Chemical Engineering 44: 763-768 (2018)
Contribution to Conference
13th International Symposium on Process Systems Engineering, PSE 2018  
Publisher DOI
10.1016/B978-0-444-64241-7.50122-1
Scopus ID
2-s2.0-85050641756
Publisher
Elsevier
ISBN
978-0-444-64241-7
ISBN of container
978-044464241-7
The simulation-based multi-objective structural and parameter optimization of continuous chemical production processes is a complex task. To provide a universally applicable optimization tool, the Advanced Process Optimizer was developed and intensively tested in cooperation with different industrial partners over several years. The superstructure can be directly built in a commercial flowsheet simulator. The resulting Generalized Disjunctive Programming formulation of the optimization problem was handled through a combination of newly developed and adapted methods. In order to validate the efficiency of the developed optimization tool the example of a dimethyl ether production process was chosen. The optimization results are compared to a reference solution achieved by conventional approaches and show a significant reduction of both the investment and operating costs.
DDC Class
600: Technology