To improve process efficiency and effluents quality in waste water treatment in integrating results of techniques for on-line monitoring and process controls for processes such as aerobic carbon oxidation, anaerobic digestion, nitrogen removal through nitrification and denitrification in order to develop a supervisory system that manipulates flow patterns throughout the treatment plant.
This project will develop on-line sensors which can be used to optimise the nitrification and denitrification steps in nitrogen removal and the removal of carbon by both aerobic and anaerobic processes. Devices that will be examined include sensors to detect toxicity, bicarbonate buffering capacity, BOD loading, the progress of denitrification and sludge settle ability.
Local control loops will be developed around these individual sensors. After analysis of operational data and mathematical modelling (including neural networks), a supervisory hierarchical control system will be developed that uses fuzzy logic to counter the inherently uncertain nature of the bioprocesses involved. The control system will combine the data from the different sensors with the available process knowledge to adjust the distribution of flows in the optimal way.
Funding SchemeCSC - Cost-sharing contracts
CF37 1DL Pontypridd