(512f) Dynamic Modeling of Advanced Wastewater Treatment Plants Using Biowin for Model-Based Control | AIChE

(512f) Dynamic Modeling of Advanced Wastewater Treatment Plants Using Biowin for Model-Based Control

Authors 

Rathore, K. - Presenter, University of South Florida
Driscoll, A., University of South Florida
Cogswell, K., University of South Florida
Sunol, A. K., University of South Florida
Iranipour, G., Hillsborough County Public Utilities Department
Mulford, L., Hillsborough County Public Utilities Department
Advanced wastewater treatment plants have complex biological kinetics, time variant influent rates and long processing times. The modeling and operation control of wastewater treatment plant gets complicated due to these characteristics. Modeling of such plants requires several parameters for kinetic rate expressions, thermo-physical properties, and hydrodynamic behavior. The kinetics and associated mechanisms become complex due to several biological processes taking place in wastewater treatment plants at varying times and spatial scales. A dynamic process model that incorporated the complex model for activated sludge kinetics was developed using the BioWin software platform for an Advanced Wastewater Treatment Plant in Valrico, Florida. Due to the extensive number of tunable parameters, an experimental design was employed for judicious selection of the most influential parameter sets and their bounds. The model was tuned using both the influent and effluent plant data to reconcile and rectify the forecasted results from the BioWin Model. Amount of mixed liquor suspended solids in the oxidation ditch, aeration rates and recycle rates were adjusted accordingly. The experimental analysis and plant SCADA data were used to predict influent wastewater rates and composition profiles as a function of time for extended periods. A proper control system has also been incorporated. The model-based control strategy involved development of simulation based operational policies and time variant set points for the key variables such oxidation ditch agitation power and recycle rates. A user interface integrates plant SCADA data and simulation through operator query.