工业有机污染物治理过程的多目标优化控制EI北大核心CSCD

工业有机污染物具有多相态共存、治理工艺复杂、治理成本高等特点.因此针对有机污染物的临氧裂解/催化氧化治理工艺,研究了一种基于改进的NSGA–Ⅱ的优化控制方法.首先,根据治理过程的工艺要求和设备操作参数,使用Aspen Plus建立了稳态模拟系统,并对关键控制参数进行了灵敏度分析.然后以最低的总能耗和最大的废水治理量为优化目标,使用改进的NSGA–Ⅱ优化处理过程的控制参数,获得一组帕累托最优解.最后,基于能量平衡设计了厂级有机污染物综合处理的能量自平衡控制方案,并进行动态模拟和实验装置测试.模拟和实验结果表明,该系统具有良好的动态响应性能,所设计的实验装置稳定运行状态下能耗低,净化效率高.

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.