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A model based study: Revisiting conventional BNR configurations with advanced aeration control

机译:基于模型的研究:通过先进的曝气控制重新探测传统的BNR配置

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Advanced aeration control based on on-line measurements of nutrients and process parameters such as dissolved oxygen in biological nutrient removal (BNR) systems is gaining a lot interest from utilities looking to save chemicals and energy associated with nutrient removal. Consequently, process engineers tasked with the optimization of BNR processes are often tasked with developing case-specific aeration control strategies. However, there are many aspects of aeration control design and implementation that still lack overarching guidelines. Over the last four decades there has been exhaustive efforts to develop most efficient BNR process configurations and flow schemes. As a result, today, we have multitude of conventional BNR process configurations targeting different aspects of nutrient removal. So far, implementation of aeration control involves modification of strategies to fit a given process configuration. However, simple modifications of the BNR process configuration to enhance the strength of a given aeration control strategy is often not considered. In this model based study, we explore BNR processes where advanced aeration control and process configurations are optimized as necessary to achieve the most efficient performance. Given the experience of the author, ammonia vs Nox (AvN) (as described by Regmi et al. (2014)) is considered in two of the simplest BNR process configurations - MLE and AO.
机译:基于营养物质的在线测量的先进曝气控制,例如生物营养去除(BNR)系统中的溶解氧(BNR)系统的溶解氧数是从公用事业的利益,寻求节省与营养消除相关的化学品和能量。因此,任务任务BNR过程的处理工程师通常是在开发特定于案例的曝气控制策略的情况下任务。然而,允许控制设计和实现有许多方面仍然缺乏总体指导。在过去四十年中,一直有详尽的努力来开发最有效的BNR流程配置和流量方案。因此,今天,我们具有靶向营养成分的不同方面的传统BNR工艺配置。到目前为止,曝气控制的实现涉及修改符合给定流程配置的策略。然而,通常不考虑BNR处理配置的简单修改以增强给定曝气控制策略的强度。在基于模型的研究中,我们探索了BNR过程,其中根据需要优化先进的通气控制和处理配置,以实现最有效的性能。鉴于作者的经验,氨与NOx(AVN)(如Regmi等人所述)被认为是最简单的BNR过程配置 - MLE和AO中的两个。

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