This paper proposes a new cost minimisation control scheme for a predenitrification type of biological wastewater treatment process and evaluates the validity of the control scheme based on the benchmark process presented by Copp. The control scheme adopting a hierarchical control structure incorporates lower-level controllers that consist of a set of local dynamic controllers and a higher-level static optimiser that provides the set points of the lower-level controllers based on the total cost index of Vanrolleghem and Gillot. Prior to benchmarking, this paper derives a simplified process model used for the optimiser, which is able to approximate the benchmark process model effectively as well as is simplified sufficiently for faster set point optimisation for on-line purposes. Numerical experiments evaluate the effectiveness of the proposed control scheme from various viewpoints including process operational and optimisation viewpoints.
This paper presents a stormwater inflow prediction method based on a rainfall-runoff model. The rainfall runoff model is derived by using system identification method with a nonlinear model called Hammerstein model, which consists of a static nonlinearity followed by a linear time invariant (LTI) system. It is shown that the Hammerstein model can represent nonlinear phenomena of a rainfall-runoff process effectively, thus the introduction of the Hammerstein model improves the accuracy of inflow prediction results. The effective ness of the proposed method is illustrated through numerical simulations by using the rainfall-runoff data which is acquired in actual urban catchment and a sewerage treatment plant.
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