Report
Stochastic Greybox Modeling for Control of an Alternating Activated Sludge Process
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Dynamical Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Department of Environmental Engineering, Technical University of Denmark3
Urban Water Systems, Department of Environmental Engineering, Technical University of Denmark4
Krüger Veolia Water Technologies5
We present a stochastic greybox model of a BioDenitro WWTP that can be used for short time horizon Model Predictive Control. The model is based on a simplified ASM1 model and takes model uncertainty in to account. It estimates unmeasured state variables in the system, e.g. the inlet concentration or the sensor measurements in case of temporary sensor faults.
This improves control performance without adding additional or redundant sensors. We fitted the parameters of the model to actual plant data and demonstrate the state estimation capabilities with this data set. The model now runs online at a WWTP in Denmark
| Language: | English |
|---|---|
| Publisher: | DTU Compute |
| Year: | 2017 |
| Series: | Dtu Compute Technical Report-2017 |
| ISSN: | 16012321 |
| Types: | Report |
| ORCIDs: | Halvgaard, Rasmus Fogtmann , Vezzaro, Luca and Madsen, Henrik |
