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Model-based evaluation of mechanisms and benefits of mainstream shortcut nitrogen removal processes

机译:基于模型的主流捷径脱氮过程的机理和效益评估

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The main challenge in implementing shortcut nitrogen removal processes for mainstream wastewater treatment is the out-selection of nitrite oxidizing bacteria (NOB) to limit nitrate production. A model-based approach was utilized to simulate the impact of individual features of process control strategies to achieve NO2--N shunt via NOB out-selection. Simulations were conducted using a two-step nitrogen removal model from the literature. Nitrogen shortcut removal processes from two case studies were modeled to illustrate the contribution of NOB out-selection mechanisms. The paper highlights a comparison between two control schemes; one was based on online measured ammonia and the other was based on a target ratio of 1 for ammonia vs. NOx (nitrate + nitrite) (AVN). Results indicated that the AVN controller possesses unique features to nitrify only that amount of nitrogen that can be denitrified, which promotes better management of incoming organics and bicarbonate for a more efficient NOB out-selection. Finally, the model was used in a scenario analysis, simulating hypothetical optimized performance of the pilot process. An estimated potential saving of 60% in carbon addition for nitrogen removal by implementing full-scale mainstream deammonification was predicted.
机译:在主流废水处理中采用捷径除氮工艺的主要挑战是亚硝酸盐氧化细菌(NOB)的选择限制了硝酸盐的生产。利用基于模型的方法来模拟过程控制策略的各个功能的影响,以通过NOB的选择实现NO2--N分流。使用文献中的两步脱氮模型进行了模拟。对两个案例研究中的氮捷径去除过程进行了建模,以说明NOB选择机制的贡献。本文着重介绍了两种控制方案之间的比较。一种基于在线测量的氨,另一种基于氨与NOx(硝酸盐+亚硝酸盐)(AVN)的目标比率为1。结果表明,AVN控制器具有独特的功能,可以仅将可反硝化的氮量硝化,从而促进了对输入有机物和碳酸氢盐的更好管理,从而可以更有效地选择NOB。最后,该模型用于情景分析,模拟了试验过程的假设最佳性能。预计通过实施大规模主流脱氨工艺,碳去除氮的碳潜力有望节省60%。

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