ADD CONTROL: advanced control solutions for waste water treatment |
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Authors: | Doris Brockmann Jean-Philippe Steyer Webbey De Keyser Ingmar Nopens Filip H. A. Claeys Gorka Urchegui Eduardo Ayesa |
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Affiliation: | (1) INRA, UR0050, Laboratoire de Biotechnologie de l’Environnement, Avenue des Etangs, 11100 Narbonne, France;(2) BIOMATH, Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure Links 653, 9000 Ghent, Belgium;(3) MOSTforWATER, Sint-Sebastiaanslaan 3a, 8500 Kortrijk, Belgium;(4) Mondragon Sistemas de Informaci?n, Ama Kandida 21 (DENAC), 20140 Andoain, Spain;(5) Department of Environmental Engineering, CEIT, Po. Manuel Lardiz?bal 15, 20018 San Sebastian, Spain;(6) TECNUN, School of Engineering, University of Navarra, Po. Manuel Lardizabal 15, 20018 San Sebastian, Spain |
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Abstract: | Instrumentation, control, and automation (ICA) in wastewater treatment enables the improvement of treatment plant performance without structural modifications of the plant. Even for wastewater treatment plants (WWTPs) meeting all criteria with respect to effluent concentrations and sludge disposal, ICA can be of interest as it can help to reduce energy consumption and operating costs of the plant. Simulations are a useful and cost-effective tool for designing and evaluating different control strategies. Simulation strategies developed with existing WWTP-specific simulation packages are based on ideal sensor and actuator behavior because signal noise and potential sensor and actuator failures are not considered. Real sensor and actuator behavior including failures, however, needs to be accounted for to ensure robust controller performance despite disturbances in sensor and actuator behavior. The ADD CONTROL project aims to design, implement, and validate a new simulation tool that allows for designing and testing “practical” control solutions. A multi-layer modeling architecture is proposed for the simulation tool to represent the hierarchical architecture for automation and control in full-scale WWTPs, and to separate mathematical modeling of components related to the treatment process from components describing instrumentation and actuation devices, and components related to automation and control. The developed simulation tool is implemented based on the TORNADO framework for modeling and virtual experimentation and the WEST? product suite. |
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