Artificial neural networks for cost optimization of coagulation, sedimentation and filtration in drinking water treatment

The applicability of Artificial Neural Networks (ANN) for process and costs optimization in drinking water treatment by coagulation, sedimentation and rapid filtration was investigated. The results showed that besides a considerable cost reduction, an improvement of process safety and stability can be expected. For further testing, the ANN will be installed at a water treatment plant for online coagulation control and process optimization.

[1]  S. Strugholtz,et al.  Neural networks and genetic algorithms in membrane technology modelling , 2008 .

[2]  T. Denoeux,et al.  MODELLING OF COAGULANT DOSAGE IN A WATER TREATMENT PLANT , 1999 .

[3]  R. Shariff,et al.  Drinking water quality and treatment: the use of artificial neural networks , 2001 .

[4]  H. Maier,et al.  The Use of Artificial Neural Networks for the Prediction of Water Quality Parameters , 1996 .

[5]  Luuk C. Rietveld,et al.  Integrated simulation of drinking water treatment , 2008 .

[6]  Holger R. Maier,et al.  Use of artificial neural networks for predicting optimal alum doses and treated water quality parameters , 2004, Environ. Model. Softw..

[7]  Michel Cabassud,et al.  Neural networks: a tool to improve UF plant productivity , 2002 .

[8]  S. J. Stanley,et al.  Development of a full-scale artificial neural network model for the removal of natural organic matter by enhanced coagulation , 1999 .

[9]  Shankararaman Chellam,et al.  Artificial neural network model for transient crossflow microfiltration of polydispersed suspensions , 2005 .

[10]  Qing Zhang,et al.  Forecasting raw-water quality parameters for the North Saskatchewan River by neural network modeling , 1997 .

[11]  A. Mirsepassi,et al.  Application of artificial neural networks to the real time operation of water treatment plants , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[12]  C W Baxter,et al.  Model-based advanced process control of coagulation. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.