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Simulation study with minimised additional data requirements to analyse control and operation of WWTP Dorsten, Germany

机译:以最少的额外数据需求进行仿真研究,以分析WWTP的控制和运行,德国

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摘要

This paper describes a method to decrease the additional measurement effort during a model calibration/verification to create reliable models for plant optimisation. The method is based on the deterministic processes creating the dry weather inflow to municipal treatment plants, which can be described by a simple influent composition model. This method was applied to two wastewater treatment plants of Lippeverband and the usability is indicated by the good correlation between routine online effluent measurements and simulation results. This paper presents one of these applications, the case study WWTP Dorsten. The resulting model is used to analyse the current plant performance, to analyse bottlenecks and to develop future improvements of operation and control of this plant. A selection of control options is demonstrated.
机译:本文介绍了一种在模型校准/验证过程中减少额外测量工作量的方法,以创建用于工厂优化的可靠模型。该方法基于确定性过程,该过程确定了流入市政污水处理厂的干旱天气,这可以通过简单的进水组成模型来描述。该方法已应用于两个Lippeverband废水处理厂,其可用性由常规在线废水测量与模拟结果之间的良好相关性表明。本文介绍了其中一种应用,即WWTP Dorsten案例研究。生成的模型用于分析当前工厂的性能,分析瓶颈以及开发该工厂的运行和控制的未来改进。演示了控制选项的选择。

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