Dissolved Oxygen Perturbations: A New Strategy to Enhance the Removal of Organic Micropollutants in Activated Sludge Process

Author(s):  
Camilla Di Marcantonio ◽  
Amrita Bains ◽  
Agostina Chiavola ◽  
Naresh Singhal ◽  
Maria Rosaria Boni
2019 ◽  
Vol 79 (1) ◽  
pp. 63-72 ◽  
Author(s):  
Oliver Schraa ◽  
Leiv Rieger ◽  
Jens Alex ◽  
Ivan Miletić

Abstract Ammonia-based aeration control (ABAC) is a cascade control concept for controlling total ammonia nitrogen (NHx-N) in the activated sludge process. Its main goals are to tailor the aeration intensity to the NHx-N loading and to maintain consistent nitrification, to meet effluent limits but minimize energy consumption. One limitation to ABAC is that the solids retention time (SRT) control strategy used at a water resource recovery facility (WRRF) may not be consistent with the goals of ABAC. ABAC-SRT control is a strategy for aligning the goals of ammonia-based aeration control and SRT control. A supervisory controller is used to ensure that the SRT is always optimal for ABAC. The methodology has the potential to reduce aeration energy consumption by over 30% as compared to traditional dissolved oxygen (DO) control. Practical implementation aspects are highlighted for implementation at full scale, such as proper selection of the set point for the supervisory controller, proper calculation of the rate of change in sludge inventory, using a mixed liquor suspended solids (MLSS) controller, and tuning of the controllers. In conclusion, ABAC-SRT is a promising approach for coordinated control of SRT, total ammonia nitrogen, and dissolved oxygen in the activated sludge process that balances both treatment performance and energy savings.


2016 ◽  
Vol 73 (8) ◽  
pp. 1986-2006 ◽  
Author(s):  
M. Sadeghassadi ◽  
C. J. B. Macnab ◽  
D. Westwick

This paper presents a generalized predictive control (GPC) technique to regulate the activated sludge process found in a bioreactor used in wastewater treatment. The control strategy can track dissolved oxygen setpoint changes quickly, adapting to the system uncertainties and disturbances. Tests occur on an Activated Sludge Model No. 1 benchmark of an activated sludge process. A T filter added to the GPC framework results in an effective control strategy in the presence of coloured measurement noise. This work also suggests how a constraint on the measured variable can be added as a penalty term to the GPC framework which leads to improved control of the dissolved oxygen concentration in the presence of dynamic input disturbance.


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