Journal
APPLIED SCIENCES-BASEL
Volume 9, Issue 11, Pages -Publisher
MDPI
DOI: 10.3390/app9112268
Keywords
artificial bee colony algorithm; biological processes; direct search algorithm; hierarchical control; nonlinear optimization; sequencing batch reactor
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Featured Application This work is planned for implementation studies in wastewater treatment plants in the future. The proposed optimization algorithms can be used to solve optimization tasks with more decision variables. Abstract Authors of this paper take under investigation the optimization of biological processes during the wastewater treatment in sequencing batch reactor (SBR) plant. A designed optimizing supervisory controller generates the dissolved oxygen (DO) trajectory for the lower level parts of the hierarchical control system. Proper adjustment of this element has an essential impact on the efficiency of the wastewater treatment process as well as on the costs generated by the plant, especially by the aeration system. The main goal of the presented solution is to reduce the plant energy consumption and to maintain the quality of effluent in compliance with the water-law permit. Since the optimization is nonlinear and includes variations of different types of variables, to solve the given problem the authors performed simulation tests and decided to implement a hybrid of two different optimization algorithms: artificial bee colony (ABC) and direct search algorithm (DSA). Simulation tests for the wastewater treatment plant case study are presented.
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