Modelling and optimization of an activated sludge wastewater treatment process

摘要

This paper investigates the performance of Model Predictive Control strategies used to improve the energy efficiency and effluent quality of a conventional Wastewater treatment plant. Two different model predictive control techniques are used: the extended predictive self-adaptive control, a model predictive control strategy based on online optimisation, and the multi-parametric model predictive control, a multi-parametric control strategy based on offline optimisation. Both control strategies manage to efficiently optimize the aeration energy consumption while maintaining the discharged water quality within the regulations.