Kostenoptimale Gestaltung von Stoffaustauschernetzwerken mit Hilfe der erweiterten Wasser-Pinch-Methode

The process integration for the optimization of energy and material economy of chemical processes is addressed in recent international research activities. In the last years different approaches have been developed and field-proven. In the area of mass integration, which additionally leads to a better insight into the processes, only a few methods have reached industrial practice.The basics of the Water-Pinch-Method from Wang and Smith, an approach well-known for optimization of water and waste water systems, is introduced. Minimal demand of water or generally detergents and the bottleneck (pinch) of the water network can be determined. Whereas single contaminants can be addressed by the basic algorithm, for multiple contaminants additional rules had to be developed. It can be shown that this method can consider different interactions between contaminants and therefore is able to reproduce real mass transfer processes. Regeneration processes represent an important instrument for minimization of water and/or detergent consumption. Here the restrictions of the basic algorithm can be avoided by an extended approach.While the target of the Water-Pinch-Method is to minimize the water and/or detergent demand, process synthesis of washing processes minimizes total costs, i.e. operating and capital costs. Even if the optimization of the water balance of chemical enterprises represents an important application, the Water-Pinch-Method is not limited to the treatment of such problems. Cost oriented questions of process synthesis can be answered by the integration of optimization algorithms into the analytic Water-Pinch-Method. This combination of analytic Water-Pinch-Method and numeric optimization algorithm is called two-level optimization. Contrary to approaches with pure numeric optimization techniques the optimization problem can be simplified and the convergence behavior of the optimization algorithms can be positively affected. Three approaches with different complexity are introduced for explanation. The first approach still optimizes the water side and determines optimal costs of water resources of different quality as well as cost optimal regeneration stages. In the second case the cost optimal dimensioning of mass exchangers and their water supply is regarded. These approaches represent problems with parameter optimization and can be solved with a nonlinear optimization algorithm. In the third case a structure optimization is addressed and with it a nonlinear mixed integer synthesis task. This problem cannot be solved with a deterministic optimization procedure due to its non-convex behavior. Instead it is shown, how stochastic evolutionary algorithms can be applied for these kinds optimization tasks.

Grantor dc:publisher

Publikationsserver der RWTH Aachen University

Year dc:date

2004

Author dc:creator

• Henßen, Gerhard

Contributors dc:contributor

• Lucas, Klaus

• info:eu-repo/classification/ddc/620
• Chemieanlage
• Brauchwasser
• Waschwasser
• Industrieabwasser
• Stoffübertragung
• Prozessoptimierung
• Ingenieurwissenschaften
• Pinch
• Optimierung
• Waschprozesse
• Stoffaustausch
• Kostenfunktion

Statement dc:rights

• info:eu-repo/semantics/openAccess

Language dc:language

ger

Identifier

https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-124268%22

OAI identifier oai:identifier

oai:publications.rwth-aachen.de:62757