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.
Highlights
Wastewater treatment plant (WWTP) is a complicated system in which processes of removing contaminants from municipal and/or industrial wastewater take place
The results showed that the performance of WWTP improved and it could potentially lead to energy saving and improvement in the removal of nitrogen
1 means that the process consists of a single biological phase. Another important issue is that x1 is an indirect variable, which means it is not considered in the objective important issue is that x1 is an indirect variable, which means it is not considered in the objective function
Summary
Wastewater treatment plant (WWTP) is a complicated system in which processes of removing contaminants from municipal and/or industrial wastewater take place. The right amount of dissolved oxygen (DO) is one of the key parameters influencing the effectiveness of biological processes taking place in the WWTP This allows the microorganisms in the activated sludge to develop and to successively reduce nitrogen and phosphorus compounds in wastewater. Other research works are based on the optimization of biological processes taking place in the SBR reactor For this purpose, in addition to measuring DO, additional measurements are applied: pH, Oxidation Reduction Potential—ORP [15], Oxygen Uptake Rate—OUR [16], aeration time, phase sequence (anaerobic/aerobic), phase duration, number of phases [17,18,19]. Difficult, The nonlinear, nonconvex and hybrid (different decision-making variables) hassystem been above features of the optimization task result from the properties of the task control proposed.
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