Schütz Jan Tobias, Kleyböcker Anne, Larsen Sille Bendix, Kristensen Malene, Remy Christian, Miehe Ulf
Kompetenzzentrum Wasser Berlin gGmbH, Grunewaldstr. 61-62, Berlin 10825, Germany E-mail:
Kompetenzzentrum Wasser Berlin gGmbH, Grunewaldstr. 61-62, Berlin 10825, Germany.
Water Sci Technol. 2024 Dec;90(12):3149-3165. doi: 10.2166/wst.2024.386. Epub 2024 Nov 27.
The use of activated sludge models (ASMs) is a common way in the field of wastewater engineering in terms of plant design, development, optimization, and testing of stand-alone treatment plants. The focus of this study was the development of a joint control system (JCS) for a municipal wastewater treatment plant (mWWTP) and an upstream industrial wastewater treatment plant (iWWTP) to create synergies for saving aeration energy. Therefore, an ASM3 + BioP model of the mWWTP was developed to test different scenarios and to find the best set-points for the novel JCS. A predictive equation for the total nitrogen load (TN) coming from the iWWTP was developed based on real-time data. The predictive TN equation together with an optimized aeration strategy, based on the modelling results, was implemented as JCS. First results of the implementation of the JCS in the real environment showed an increase in energy efficiency for TN removal.
在独立污水处理厂的设计、开发、优化及测试方面，活性污泥模型（ASM）的应用是废水工程领域的常用方法。本研究的重点是为城市污水处理厂（mWWTP）和上游工业污水处理厂（iWWTP）开发联合控制系统（JCS），以实现协同增效，节省曝气能源。因此，开发了mWWTP的ASM3 + BioP模型，用于测试不同场景并为新型JCS找到最佳设定点。基于实时数据，开发了来自iWWTP的总氮负荷（TN）预测方程。基于建模结果，将预测TN方程与优化的曝气策略一起作为JCS实施。在实际环境中实施JCS的初步结果表明，总氮去除的能源效率有所提高。
