In biological wastewater treatment, nitrogen and phosphorous are removed by activated sludge. The process requires oxygen input via aeration of the activated sludge tank. Aeration is responsible for about 60% of the energy consumption of a treatment plant. Hence optimization of aeration can contribute considerably to the increase of energy-efficiency in wastewater treatment. To this end, we introduce an adaptive model based control strategy for aeration called adaptive WOMBAT. The strategy is an improvement of the original WOMBAT, which has been successfully implemented at wastewater treatment plant Westpoort in Amsterdam. In this paper we propose to improve the physics-based model by introducing automatic parameter adaptation. In an experimental model setup the adaptive model based control algorithm proves to result in better effluent quality with less energy consumption. Moreover, it is able to react to the varying circumstances of a real treatment plant and can, therefore, operate without human supervision.
|Title of host publication||Urban Water Management: Callenges and Opportunities. Proceedings of the Eleventh International Conference on Computing and Control for the Water Industry (CCWI 2011)|
|Editors||D.A. Savic, Z. Kapelan, D. Butler|
|Place of Publication||Exeter|
|Number of pages||6|
|Publication status||Published - 2011|
- Model based control
- Adaptive control
- Wastewater treatment
- Energy Efficiency
de Niet, A., van de Vrugt, N. M., Korving, H., & Boucherie, R. J. (2011). Adaptive model based control for wastewater treatment plants. In D. A. Savic, Z. Kapelan, & D. Butler (Eds.), Urban Water Management: Callenges and Opportunities. Proceedings of the Eleventh International Conference on Computing and Control for the Water Industry (CCWI 2011) (pp. 683-688). Exeter: Exeter University.