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Evaluation of an automated struvite reactor to recover phosphorus from source-separated urine collected at urine diversion toilets in eThekwini

机译:对自动鸟粪石反应器进行评估,以从eThekwini的尿液转移厕所收集的源分离尿液中回收磷

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摘要

In the present study we attempted to develop a reactor system to recover phosphorus by struvite precipitation, and which can be installed anywhere in the field without access to a laboratory. A reactor was developed that can run fully automated and recover up to 93% of total phosphorus (total P). Turbidity and conductivity signals were investigated as automation proxies for magnesium dosage, thus making laboratory phosphate measurements to determine the exact magnesium dosage unnecessary. Conductivity is highly influenced by the dosing parameters (molarity and pump speed) and turbidity is affected by particle size distribution issues. Algorithms based on both conductivity and turbidity signals were not able to detect the precipitation endpoint in real time. However it proved possible to identify the endpoint retrospectively from the conductivity signal, and thereafter to dose an algorithm-calculated volume of urine to use up the excess magnesium dosed.
机译:在本研究中,我们尝试开发一种通过鸟粪石沉淀法回收磷的反应器系统,该系统可以安装在现场的任何地方而无需使用实验室。开发了可以全自动运行的反应器,并可以回收高达93%的总磷(总P)。浊度和电导率信号作为镁剂量的自动化代理进行了研究,因此无需进行实验室磷酸盐测量即可确定确切的镁剂量。电导率受配料参数(摩尔浓度和泵速)的很大影响,而浊度则受粒度分布问题的影响。基于电导率和浊度信号的算法无法实时检测降水终点。然而,事实证明,可以从电导率信号中回顾性地确定终点,然后定量分配算法计算出的尿液量,以消耗掉过量的镁。

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