A novel feedforward control strategy for simultaneous nitrification and denitrification (SND) in aerobic granular sludge sequential batch reactor (AGS-SBR)

2020 ◽  
Vol 260 ◽  
pp. 110103 ◽  
Author(s):  
Wenjing Chen ◽  
Yiming Lu ◽  
Quan Jin ◽  
Miao Zhang ◽  
Jun Wu
Author(s):  
Norjannah Hazali ◽  
Norhaliza Abdul Wahab ◽  
Syahira Ibrahim

The main objective of wastewater treatment plant is to release safe effluent not only to human health but also to the natural environment. An aerobic granular sludge technology is used for nutrient removal of wastewater treatment process using sequential batch reactor system. The nature of the process is highly complex and nonlinear makes the prediction of biological treatment is difficult to achieve. To study the nonlinear dynamic of aerobic granular sludge, high temperature real data at 40˚C were used to model sequential batch reactor using artificial neural network. In this work, the radial basis function neural network for modelling of nutrient removal process was studied. The network was optimized with self-organizing radial basis function neural network which adjusted the network structure size during learning phase. Performance of both network were evaluated and compared and the simulation results showed that the best prediction of the model was given by self-organizing radial basis function neural network.


2015 ◽  
Vol 287 ◽  
pp. 93-101 ◽  
Author(s):  
Irina S. Moreira ◽  
Catarina L. Amorim ◽  
Ana R. Ribeiro ◽  
Raquel B.R. Mesquita ◽  
António O.S.S. Rangel ◽  
...  

RSC Advances ◽  
2017 ◽  
Vol 7 (19) ◽  
pp. 11608-11615 ◽  
Author(s):  
Qian Feng ◽  
Yangyang Yu ◽  
Chong Guo ◽  
Xindi Chen ◽  
Jiashun Cao ◽  
...  

Lab-scale Sequencing Batch Reactors (SBR) were adopted to study the effects of Ni(ii) exposure on the simultaneous nitrification and denitrification (SND) of the aerobic granular sludge under different concentrations of Ni(ii) (1.0, 5.0 and 10.0 mg L−1).


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