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高级策略提高序批式反应器中的硝化过程-综述。

Advanced strategies to improve nitrification process in sequencing batch reactors - A review.

机构信息

Department of Electrical Engineering, University of Chile, Av. Tupper 2007, Santiago, Chile.

Department of Electrical Engineering, University of La Frontera, Cas. 54-D, Temuco, Chile.

出版信息

J Environ Manage. 2018 Jul 15;218:154-164. doi: 10.1016/j.jenvman.2018.04.019. Epub 2018 Apr 19.

Abstract

The optimization of biological nitrogen removal (BNR) in sequencing batch reactors has become the aim of researchers worldwide in order to increase efficiency and reduce energy and operating costs. This research has focused on the nitrification phase as the limiting reaction rate of BNR. This paper analyzes different strategies and discusses different tools such as: factors for achieving partial nitrification, real-time control and monitoring for detecting characteristic patterns of nitrification/denitrification as end-points, use of modeling based on activated sludge models, and the use of data-driven modeling for estimating variables that cannot be easily measured experimentally or online. The discussion of this paper highlight the properties and scope of each of these strategies, as well as their advantages and disadvantages, which can be integrated into future works using these strategies according to legal and economic restrictions for a more stable and efficient BNR process in the long-term.

摘要

为了提高效率和降低能源及运行成本,优化序批式生物脱氮(BNR)成为了全世界研究者的目标。该研究聚焦于硝化阶段,因为它是 BNR 的限速反应。本文分析了不同的策略,并讨论了不同的工具,如:实现部分硝化的因素、实时控制和监测以检测硝化/反硝化的特征模式作为终点、基于活性污泥模型的建模应用,以及用于估计难以通过实验或在线方式进行直接测量的变量的数据驱动建模。本文的讨论强调了这些策略的特性和范围,以及它们的优缺点,这些内容可以根据法律和经济限制整合到未来的工作中,以便在长期内实现更稳定、高效的 BNR 工艺。

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