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Simulation and Optimization of Cyclone Dust Separators

  • Cyclone Dust Separators are devices often used to filter solid particles from flue gas. Such cyclones are supposed to filter as much solid particles from the carrying gas as possible. At the same time, they should only introduce a minimal pressure loss to the system. Hence, collection efficiency has to be maximized and pressure loss minimized. Both the collection efficiency and pressure loss are heavily influenced by the cyclones geometry. In this paper, we optimize seven geometrical parameters of an analytical cyclone model. Furthermore, noise variables are introduced to the model, representing the non-deterministic structure of the real-world problem. This is used to investigate robustness and sensitivity of solutions. Both the deterministic as well as the stochastic model are optimized with an SMS-EMOA. The SMS-EMOA is compared to a single objective optimization algorithm. For the harder, stochastic optimization problem, a surrogate-model-supported SMS-EMOA is compared against the model-free SMS-EMOA. The model supported approach yields better solutions with the same run-time budget.

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Metadaten
Author:Beate Breiderhoff, Thomas Bartz-BeielsteinGND, Boris Naujoks, Martin Zaefferer, Andreas Fischbach, Oliver Flasch, Martina Friese, Olaf Mersmann, Jörg Stork
URN:urn:nbn:de:hbz:832-cos-470
Series (Serial Number):CIplus (4/2013)
Document Type:Report
Language:English
Year of Completion:2013
Release Date:2013/10/08
Tag:Mehrkriterielle Optimierung; Sequentielle Parameter Optimierung; Surrogat-Modellierung; Zylon Enstauber
Cyclone Dust Separator; Multi-Criteria Optimization; Multiobjective Optimization; Sequential Parameter Optimization; Surrogate Modeling
GND Keyword:Entstauber; Evolutionärer Algorithmus; Mehrkriterielle Optimierung; Simulation; Soft Computing
Institutes and Central Facilities:Fakultät für Informatik und Ingenieurwissenschaften (F10) / Fakultät 10 / Institut für Informatik
Dewey Decimal Classification:000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft / 004 Informatik
Open Access:Open Access
Licence (German):License LogoCreative Commons - Namensnennung, Nicht kommerziell, Keine Bearbeitung