Empirical Modelling Of Wastewater Treatment Processes – – An Approach to Model Reduction and Integration
نویسندگان
چکیده
The aim of this project is to create an empirical model of a wastewater treatment plant (WWTP), which suits the requirements of integrated modelling. Such a model has to be simple enough in order not to increase too much the level of complexity and the computational demand when coupled with other submodels. The empirical model is identified using simulation data obtained from a mechanistic treatment plant model, this way a “model of the model” is obtained. The empirical modelling techniques used are Artificial Neural Networks (ANN) and Multivariate Polynomial Regression (MPR). As for the mechanistic model, an ASM3 coupled with a layer-based compressive gravity thickener is used.
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