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- W2521803943 abstract "In this paper a strategy is proposed to reduce the Activated Sludge Model no. 1 which describes the biotransformation processes in a common activated sludge process with N-removal. The procedure consists of three steps. In the first step representative input/output data sets are generated by simulating the full ASMl model. In the second step the ASMl model is rewritten in state space format with linear approximations of the nonlinear (kinetic) terms. In the third step the unknown parameters in the linear terms are identified based on the generated input/output data. To reduce the amount of parameter sets that have to be identified (to cover all the operation ranges of the plant), a model interpolation procedure is proposed. The main advantage of the obtained linear model (structure) is that it combines high predictive value with very low computation time" @default.
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- W2521803943 date "2001-06-01" @default.
- W2521803943 modified "2023-09-23" @default.
- W2521803943 title "Linearization of the Activated Sludge Model ASM1 for Fast and Reliable Predictions" @default.
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- W2521803943 doi "https://doi.org/10.1016/s1474-6670(17)34225-8" @default.
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