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Adaptive optimal operation of the Fenton's batch process for industrial wastewater treatment

机译：FENTON批量生产处理工业废水处理的自适应最优运行

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This work presents a novel methodology for on-line adaptive optimization based on a lumped model of the Fenton 's batch process for industrial wastewaters containing organic compounds. A simplified reaction pathway comprising only of complete and partial substrate oxidation is proposed to describe the very complex network of reactions occurring in the Fenton's chemistry. This model is integrated together with a two-step sequential adaptive estimation-optimization procedure. In the estimation step, the kinetic parameters of the lumped model are estimated on-line using as inferential measurements of waste degradation the oxidation-reduction potential (ORP) and carbon dioxide concentration. The optimization step uses the estimated oxidation rates to make a correction to the Fenton's reagent feeding strategy so as to maximize the overall rate of pollutant degradation. This estimation-optimization task is repeated at selected points in time until the desired ORP endpoint is achieved. Results are presented to illustrate the improvements that can be achieved in the Fenton's process automation strategy.
机译：该工作提出了一种基于含有有机化合物的工业废水的工业废水的集体模型，提出了一种基于FENTON分批工艺的集体模型的新型自适应优化方法。提出了一种简化的反应途径，仅包括完全和部分衬底氧化，以描述在FENTON的化学中发生的非常复杂的反应网络。该模型与两步顺序自适应估计优化过程一起集成在一起。在估计步骤中，随着废物降解的推理测量氧化降低电位（ORP）和二氧化碳浓度，在线估计集体模型的动力学参数。优化步骤使用估计的氧化速率对Fenton的试剂饲养策略进行校正，以便最大化污染物降解的总速率。该估计优化任务在选择的时间点重复，直到实现所需的ORP端点。提出了结果，说明了在Fenton的过程自动化策略中可以实现的改进。

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