Suppr超能文献

反硝化活性污泥池中出现短路现象。

Short circuiting in a denitrifying activated sludge tank.

作者信息

Kjellstrand R, Mattsson A, Niklasson C, Taherzadeh M J

机构信息

Chemical Engineering and Environmental Science, Chalmers University of Technology, SE-412 96.

出版信息

Water Sci Technol. 2005;52(10-11):79-87.

Abstract

The presence of a short circuit flow in a denitrifying activated sludge tank was identified and modelled. Tracer tests with pulse addition of lithium salt were used to investigate the hydraulics of the tank. The lithium concentration in the effluent was detected and residence time distribution (RTD) curves were generated. Hydraulic models based on completely stirred tank reactors (CSTRs) in series were generated from the RTD curves and the models were compared. The short circuit problem was successfully described using the Martin model, where the inflow is divided into two strands. Each strand was modelled as a number of CSTRs in series. At a normal flow the results of the model show that the tank has 12.8% dead volume, 85.8% main volume and 1.3% short circuiting volume. The inflow was divided into 91.9% entering the main volume and 8.1% entering the short circuiting volume. The mean velocity of the short circuiting stream was estimated to 0.4 m/s. At maximum flow the short circuiting stream was even larger and handled 24.3% of the flow. The short circuiting stream was identified in the upper part of the tank due to the position of the inlet and the outlet. The configuration of a tank including the use of baffles, the geometry of the inlet and mixer configuration should be considered carefully if short circuiting is to be avoided.

摘要

在反硝化活性污泥池中识别并模拟了短路流的存在。采用脉冲添加锂盐的示踪试验来研究该池的水力特性。检测了流出物中的锂浓度,并生成了停留时间分布(RTD)曲线。根据RTD曲线生成了基于串联全混流反应器(CSTR)的水力模型,并对这些模型进行了比较。使用Martin模型成功描述了短路问题,其中将流入分为两股。每股流都被建模为多个串联的CSTR。在正常流量下,模型结果表明该池有12.8%的死体积、85.8%的主流体积和1.3%的短路体积。流入量分为91.9%进入主流体积和8.1%进入短路体积。估计短路流的平均流速为0.4米/秒。在最大流量时,短路流甚至更大,处理了24.3%的流量。由于进水口和出水口的位置,在池的上部识别出了短路流。如果要避免短路,应仔细考虑池的配置,包括挡板的使用、进水口的几何形状和混合器配置。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验