The model calibration protocol for parameter estimation of activated sludge model

In this paper, a standardized model calibration method for the optimal parameter estimation of the ASM is proposed. We developed a kind of the calibration protocol of ASM 1 model based on parameter selection, design of experiments and parameter optimization using multiple response surface methodology. In this research, two softwares of WEST^reg and MINITAP are used to model a waste water treatment process and optimize the model parameter and design of experiment. First, the most sensitive parameter set is determined by a new sensitivity analysis for considering the effluent quality index. Second, a multiple response surface methodology (MRS) is conducted for optimizing parameter estimation of ASM1 model. Because the proposed method is a multi-response model which is the suitable methods to estimate the model parameters in the ASM, it can simultaneously optimize the key parameters in the aspect of input-output model performance. The result of the model calibration protocol shows that it can select the key parameters of the ASM model and minimize the model error of the ASM model by a systematic sequence, which can save the much time in the modeling a process, improve the modeling performance of the ASM model and the prediction result of ASM. Since the proposed method is a kind of the calibration methodology, that is, protocol, it can be easily applied to a other ASM models, i.e., ASM2, 2d, 3 and also a full-scale plant.