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http://dx.doi.org/10.4491/KSEE.2011.33.1.025

Development and Evaluation of Model-based Predictive Control Algorithm for Effluent $NH_4-N$ in $A^2/O$ Process  

Woo, Dae-Joon (Department of Civil and Environmental Engineering, Pusan National University)
Kim, Hyo-Soo (Department of Civil and Environmental Engineering, Pusan National University)
Kim, Ye-Jin (Department of Civil and Environmental Engineering, Pusan National University)
Cha, Jae-Hwan (Department of Civil and Environmental Engineering, Pusan National University)
Choi, Soo-Jung (Department of Civil and Environmental Engineering, Pusan National University)
Kim, Min-Soo (Department of Civil and Environmental Engineering, Pusan National University)
Kim, Chang-Won (Department of Civil and Environmental Engineering, Pusan National University)
Publication Information
Abstract
In this study, model-based $NH_4-N$ predictive control algorithm by using influent pattern was developed and evaluated for effective control application in $A^2/O$ process. A pilot-scale $A^2/O$process at S wastewater treatment plant in B city was selected. The behaviors of organic, nitrogen and phosphorous in the biological reactors were described by using the modified ASM3+Bio-P model. A one-dimensional double exponential function model was selected for modeling of the secondary settlers. The effluent $NH_4-N$ concentration on the next day was predicted according to model-based simulation by using influent pattern. After the objective effluent quality and simulation result were compared, the optimal operational condition which able to meet the objective effluent quality was deduced through repetitive simulation. Next the effluent $NH_4-N$ control schedule was generated by using the optimal operational condition and this control schedule on the next day was applied in pilot-scale $A^2/O$ process. DO concentration in aerobic reactor in predictive control algorithm was selected as the manipulated variable. Without control case and with control case were compared to confirm the control applicability and the study of the applied $NH_4-N$control schedule in summer and winter was performed to confirm the seasonal effect. In this result, the effluent $NH_4-N$concentration without control case was exceeded the objective effluent quality. However the effluent $NH_4-N$ concentration with control case was not exceeded the objective effluent quality both summer and winter season. As compared in case of without predictive control algorithm, in case of application of predictive control algorithm, the RPM of air blower was increased about 9.1%, however the effluent $NH_4-N$ concentration was decreased about 45.2%. Therefore it was concluded that the developed predictive control algorithm to the effluent $NH_4-N$ in this study was properly applied in a full-scale wastewater treatment process and was more efficient in aspect to stable effluent.
Keywords
Predictive Control; Ammonia Control; Influent Pattern; Model Optimization; Control Schedule;
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Times Cited By KSCI : 3  (Citation Analysis)
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