Development and Implementation of a Wastewater-Treatement-Plant Model for Optimization Purposes

Wastewater treatment facilities represent intricate systems designed to mitigate the environmental impact of wastewater discharge. However, their operation necessitates substantial energy input. Therefore, it is imperative to ensure both the adequacy of treated water quality and the minimization of energy consumption. In this study, we introduce a methodological framework for developing a neuro-fuzzy model tailored for optimization applications within wastewater treatment plants. We have leveraged this model within a straightforward optimization scheme, implementing it on the standardized BSM2PSFe benchmark model of wastewater treatment plant. Through comparative analysis, our algorithm demonstrates tangible enhancements in performance over the conventional approach currently used in practice. These findings suggest the feasibility of extending our proposed methodology to broader applications across diverse wastewater treatment plant configurations. Given the intricate nature of the BSM2PSFe model and the successful development of a practical model using our proposed approach, it is reasonable to anticipate favorable outcomes upon its application to various real-world wastewater treatment facilities.