Multi-objective optimization control of industrial organic pollutants treatment process

Industrial organic pollutants have the characteristics of pollutants coexistence in different phases, complicated treatment process and high treatment cost. Therefore, for the organic pollutants catalytic cracking/oxidation integrated treatment process, an optimized control method based on improved NSGA-II is studied. First of all, according to the process requirements and equipment operating parameters of the treatment process, a steady-state simulation system is established using Aspen Plus. And the sensitivity analysis is performed on key control parameters. Then, the lowest total energy consumption and the largest wastewater treatment flow are chosen as the optimization objectives. The improved NSGA- II is used to optimize the control parameters of the treatment process, and a set of Pareto optimal solutions is obtained. Finally, based on energy balance, a plant-level control scheme for organic pollutants integrated treatment is designed, and dynamic simulation and experimental device testing were carried out. The simulation and experimental results show that the system has good dynamic response performance, and the designed experimental device has low energy consumption and high purification efficiency under stable operation.