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...

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Bibliographic Details
Published in:Water science & technology. Water supply 2008, Vol.8 (4), p.383-388
Main Authors: Mälzer, H.-J., Strugholtz, S.
Format: Article
Language:English
Subjects:
Artificial neural networks
Coagulation
Drinking water
Filtration
Neural networks
Optimization
Sedimentation
Sedimentation & deposition
Stability
Water purification
Water treatment
Water treatment plants
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Summary: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.
ISSN:1606-9749
1607-0798
DOI:10.2166/ws.2008.086