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Monitoring, understanding, modelling and improving the KAMAK wastewater treatment train

Monitoring, understanding, modelling and improving the KAMAK wastewater treatment train
监控、了解、建模和改进 KAMAK 废水处理系统
批准号:
478745-2015
负责人:
Vanrolleghem, Peter
金额:
$5.75万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

项目摘要

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中文摘要
翻译
拟议的题为“监测、了解、模拟和改进卡马克废水处理列车”的研究项目的主要目标是增进对卡马克工艺不同处理机制的了解。卡马克污水处理列车由Bionest Technologies Inc.开发,是一种用于增强泻湖污水处理厂的解决方案。列车由五个不同的区域组成,其中三个是澄清区,两个是生物膜反应器。这项新技术对加拿大很重要,因为以泻湖为基础的工艺是最普遍的废水处理技术,而这些工厂中的很大一部分现在超负荷运行。为了实现这一目标,(1)表征去除性能,(2)量化澄清区内的污泥积累和降解,(3)对新技术的关键处理过程进行建模。整个项目将在全尺寸的卡马克处理列车上进行。配备了水质传感器的初级RSM30测量站将用于监测过程性能,允许连续收集数据。污泥堆积是泻湖运行的关键部分,它将被量化,以及污泥层中的生物活性对出水水质的影响。最后将分析从前两个目标工作中获得的信息,以开发一个描述关键过程的数学模型,以便了解和优化卡马克列车的运行特点。从该项目中获得的知识将推动该技术的发展。结果将用于验证设计标准和优化卡马克治疗列车的部件。
英文摘要
The main objective of the proposed research project entitled "Monitoring, understanding, modelling and improving the KAMAK wastewater treatment train" is to increase understanding of the different treatment mechanisms of the KAMAK process. The KAMAK wastewater treatment train, developed by Bionest Technologies Inc., is a solution for enhancing lagoon-based wastewater treatment plants. The train is composed of five distinct zones of which three are clarification zones and two are biofilm reactors. This new technology is important for Canada as lagoon-based processes are the most prevalent technologies for wastewater treatment and a significant fraction of these plants are now overloaded. With a view to achieve this aim, (1) characterizing the removal performances, (2) quantifying the sludge accumulation and degradation in the clarification zones and (3) modeling the key treatment processes of the new technology are the targeted specific objectives. The whole project will be performed on a full-scale KAMAK treatment train. Primodal RSM30 measuring stations equipped with water quality sensors allowing continuous data collection will be used to monitor process performance. Sludge accumulation, a crucial part of lagoon operation, will be quantified as well as the impact of biological activity in the sludge layer on effluent quality. The information gained from the work on the two first objectives will finally be analyzed to develop a mathematical model describing key processes in order to understand and optimize features of the operation of the KAMAK train. The knowledge gained from this project will advance the development of the technology. The results will be used to validate the design criteria and to optimize the components of the KAMAK treatment train.
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