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Updated: Dec 12, 2025

Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment
Published on: May 2, 2025
Real-time model predictive control of a wastewater treatment plant based on machine learning
A Bernardelli1, S Marsili-Libelli2, A Manzini1
1EnergyWay srl Via Sant'Orsola, 33, 41121 Modena, Italy.
Abstract:
Two separate goals should be jointly pursued in wastewater treatment: nutrient removal and energy conservation. An efficient controller performance should cope with process uncertainties, seasonal variations and process nonlinearities. This paper describes the design and testing of a model predictive controller (MPC) based on neuro-fuzzy techniques that is capable of estimating the main process variables and providing the right amount of aeration to achieve an efficient and economical operation. This algorithm has been field tested on a large-scale municipal wastewater treatment plant of about 500,000 PE, with encouraging results in terms of better effluent quality and energy savings.
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