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Abstract
The objective of this research was to optimise the operation cycle of the Sequencing Batch Reactor (SBR). Appropriate time balances of aerobic to anaerobic phases, as well as a set dissolved oxygen level are the key to ensuring the quality of effluent from the wastewater treatment process. The proposal to solve this optimisation problem was based on multi-objective optimisation using an evolutionary multi-objective optimisation algorithm called ϵv-MOGA. Three indicators of effluent quality and a process cost factor were adopted as functions to be optimised. The results were tested using multi-level control system of a complex SBR simulation model. The research is based on a case study of the Water Resource Recovery Facility (WRRF) in Swarzewo, Northern Poland.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2024
- Bibliographic description:
- Ujazdowski T., Piotrowski R.: Optimising Sequencing Batch Reactor Operation Cycle Planning Using Evolutionary Algorithm// / : , 2024,
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/mmar62187.2024.10680757
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
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