Computational intelligence-based optimisation of wastewater treatment plants.
Methods of computational intelligence (CI), especially fuzzy control and neuronal networks, are used for controlling and optimising of wastewater treatment plants. Areas of application are the control of sludge water dosage, of phosphate elimination by optimal precipitant dosage as well as an optimal aeration in the nitrification zone. In two municipal wastewater treatment plants with 60,000 and 12,600 person equivalents the controllers have been installed and optimised and they have been in operation for several years. Results of operation of the plants are presented in comparison to previously used classical control. Performance increased significantly and the outflow values could be kept securely below the government requirements without increase of the energy consumption. Peak loads in the inflow were eliminated in the plant and did not increase outflow concentrations. Results of operation for more than three years clearly show that the CI controller is a cost-efficient method for a sustainable rise of performance in municipal wastewater treatment plants.
Bongards
M
M
University of Applied Sciences Cologne, Campus Gummersbach, Am Sandberg 1, 51643 Gummersbach, Germany. Bongards@gm.fh-koeln.de
Hilmer
T
T
Ebel
A
A
D001185:Artificial Intelligence; D002947:Cities; D003198:Computer Simulation; D006801:Humans; D016571:Neural Networks, Computer; D012722:Sewage / Q000737:chemistry / Q000382:microbiology; D013997:Time Factors; D014865:Waste Disposal, Fluid / Q000379:methods*
D012722:Sewage