Optimal Water Quality Control of Sequencing Batch Reactors Under Uncertainty,Industrial & Engineering Chemistry Research

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Optimal Water Quality Control of Sequencing Batch Reactors Under Uncertainty
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2018-07-13 , DOI: 10.1021/acs.iecr.8b01076
Bárbara E. Rodríguez-Pérez ₁ , Antonio Flores-Tlacuahuac ₂ , Luis Ricardez-Sandoval ₃ , Francisco José Lozano ₂

Affiliation

Sequencing batch reactors (SBR) are widely used in wastewater treatment due to flexibility in operation and low investment costs. However, the main drawback of this technology is the large energy requirements for its operation. In addition, SBR performance is mostly determined by the quality of treated water, which is affected by model uncertainty. Efficient control systems that can meet the operational goals for this process under uncertainty are therefore desired. In this work, we propose an efficient control approach for composition control of organic matter and nitrogen in SBR systems in the presence of the model uncertainty. A local sensitivity analysis was performed to identify the variables that have a major impact on SBR behavior. Robust and stochastic model predictive controllers were designed to effectively control the SBR process under uncertainty. Our results indicate that water quality requirements can be achieved even in the presence of uncertainty without sacrificing SBR performance.

中文翻译：

不确定条件下顺序间歇反应器的最佳水质控制

顺序分批反应器（SBR）由于操作灵活且投资成本低而被广泛用于废水处理。但是，该技术的主要缺点是操作所需的大量能源。此外，SBR性能主要取决于处理水的质量，而水的质量又受模型不确定性的影响。因此，需要在不确定性下能够满足该过程的操作目标的高效控制系统。在这项工作中，我们提出了一种在模型不确定性存在下用于SBR系统中有机物和氮的成分控制的有效控制方法。进行了局部敏感性分析，以识别对SBR行为有重大影响的变量。设计了鲁棒且随机的模型预测控制器，以有效地控制不确定性下的SBR过程。我们的结果表明，即使存在不确定性，也可以达到水质要求，而不会影响SBR性能。

更新日期：2018-07-14

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