MULTIOBJECTIVE OPTIMIZATION OF A TWO-STAGE POWERED ACTIVATED SLUDGE SYSTEM BY SOLAR ENERGY
Activated sludge, BRS, Solar energy, Monte Carlo Simulation, General model, Multiobjective optimization, NSGA-II
The configuration of the activated sludge system with sequential batch reactors (RBS) has been increasingly used in sewage treatment, due to its high efficiency in removing organic matter and eutrophic nutrients. However, the integrated modeling of the components of this system and the optimization of multiple objectives in order to establish more efficient operating conditions are required, due to the growing concern with environmental protection, economic efficiency and sustainability of sewage treatment systems. So, this study aims to model and optimize a sewage treatment plant (ETE) of RBS powered by solar energy. The general model of activated sludge will be used to model the ETE and the calibration of the model will provide station control parameter values. The genetic algorithm (NSGA-II) will be used to generate sets of Pareto's optimal operational parameters, with multiple objectives of minimizing total life cycle cost and pollutant concentrations in the effluent.