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Modelling real-time control of WWTP influent flow under data scarcity

机译:数据稀缺下的污水处理厂进水流量实时控制建模

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In order to comply with effluent standards, wastewater operators need to avoid hydraulic overloading of the wastewater treatment plant (WWTP), as this can result in the washout of activated sludge from secondary settling tanks. Hydraulic overloading can occur in a systematic way, for instance when sewer network connections are extended without increasing the WWTP's capacity accordingly. This study demonstrates the use of rule-based real-time control (RTC) to reduce the load to the WWTP while restricting the overall overflow volume of the sewer system to a minimum. Further, it shows the added value of RTC despite the limited availability of monitoring data and information on the catchment through a parsimonious simulation approach, using relocation of spatial system boundaries and creating required input data through reverse modelling. Focus was hereby on the accurate modelling of pump hydraulics and control. Finally, two different methods of global sensitivity analysis were employed to verify the influence of parameters of both the model and the implemented control algorithm. Both methods show the importance of good knowledge of the system properties, but that monitoring errors play a minor role.
机译:为了符合废水标准,废水操作人员需要避免废水处理厂(WWTP)的水力超负荷,因为这可能导致从二级沉淀池中冲走活性污泥。液压过载可能以系统的方式发生,例如,当扩展下水道网络连接而未相应增加污水处理厂的能力时。这项研究证明了使用基于规则的实时控制(RTC)来减少污水处理厂的负荷,同时将下水道系统的总溢流量限制在最小。此外,它显示了RTC的附加值,尽管通过使用空间系统边界的重新定位并通过反向建模创建所需的输入数据,通过简约的模拟方法,监控数据和流域信息的可用性有限。因此,重点是对泵液压系统和控制的精确建模。最后,采用两种不同的全局灵敏度分析方法来验证模型参数和所实施控制算法的参数影响。两种方法都显示出对系统属性有充分了解的重要性,但监视错误仅扮演次要角色。

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