scholarly journals Distributed Control Systems for a Wastewater Treatment Plant: Architectures and Advanced Control Solutions

2018 ◽  
Author(s):  
Dan Selișteanu ◽  
Ion Marian Popescu ◽  
Emil Petre ◽  
Monica Roman ◽  
Dorin Șendrescu ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Control Systems ◽  
Distributed Control ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Distributed Control Systems ◽  
Advanced Control

Energy saving on wastewater treatment plants through improved online control: case study wastewater treatment plant Antwerp-South

2014 ◽  
Vol 69 (5) ◽  
pp. 1074-1079 ◽  
Author(s):  
Kris De Gussem ◽  
Alessio Fenu ◽  
Tom Wambecq ◽  
Marjoleine Weemaes
Keyword(s):  
Wastewater Treatment ◽  
Activated Sludge ◽  
Wastewater Treatment Plant ◽  
Wastewater Treatment Plants ◽  
Flow Direction ◽  
Treatment Plant ◽  
Advanced Control ◽  
Nutrient Removal Efficiency ◽  
Computational Fluid Dynamics Cfd

This work provides a case study on how activated sludge modelling and computational fluid dynamics (CFD) can help to optimize the energy consumption of a treatment plant that is already equipped with an advanced control based on online nutrient measurements. Currently, aeration basins on wastewater treatment plant Antwerp-South are operated sequentially while flow direction and point of inflow and outflow vary as a function of time. Activated sludge modelling shows that switching from the existing alternating flow based control to a simultaneous parallel feeding of all aeration tanks saves 1.3% energy. CFD calculations also illustrate that the water velocity is still sufficient if some impellers in the aeration basins are shutdown. The simulations of the Activated Sludge Model No. 2d indicate that the coupling of the aeration control with the impeller control, and automatically switching off some impellers when the aeration is inactive, can save 2.2 to 3.3% of energy without affecting the nutrient removal efficiency. On the other hand, all impellers are needed when the aeration is active to distribute the oxygen.

scholarly journals Full-scale implementation of an advanced control system on a biological wastewater treatment plant

2016 ◽  
Vol 49 (7) ◽  
pp. 1163-1168 ◽  
Author(s):  
Michela Mulas ◽  
Francesco Corona ◽  
Jukka Sirviö ◽  
Seppo Hyvönen ◽  
Riku Vahala
Keyword(s):  
Wastewater Treatment ◽  
Control System ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Full Scale ◽  
Biological Wastewater Treatment ◽  
Advanced Control

scholarly journals ANN-Based Short-Term Wastewater Flow Prediction for Better WWTP Control

2010 ◽  
Vol 4 (2) ◽  
pp. 159-162
Author(s):  
Leslaw Plonka ◽  
◽  
Korneliusz Miksch ◽  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wastewater Treatment ◽  
Control Systems ◽  
Neural Network Model ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Inflow Rate ◽  
Short Term ◽  
Flow Prediction

This paper presents an approach to predict the amount of the wastewater which enters wastewater treatment plant, using artificial neural network. The method presented can be used to give short-term predictions of wastewater inflow-rate. The described neural network model uses a very tiny set of data commonly collected by WWTP control systems.

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