Wastewater Treatment Plant Control Strategies

Nobel Ballhysa, Soyeon Kim, S. Byeon
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引用次数: 1

Abstract

The operation of a wastewater treatment plant (WWTP) is a complex task which requires to consider several aspects: adapting to always changing influent composition and volume, ensuring treated effluents quality complies with local regulations, ensuring dissolved oxygen levels in biological reaction tanks are sufficient to avoid anoxic conditions etc. all of it while minimizing usage of chemicals and power consumption. The traditional way of managing WWTPs consists in having employees on the field measure various parameters and make decisions based on their judgment and experience which holds various concerns such as the low frequency of data, errors in measurement and difficulty to analyze historical data to propose optimal solutions. In the case of activated sludge WWTPs, parts of the treatment process can be automated and controlled in order to satisfy various control objectives. The models developed by the International Water Association (IWA) have been extensively used worldwide in order to design and assess the performance of various control strategies. In this work, we propose to review most recent WWTP automation initiatives around the world and identify most currently used control parameters and control architectures. We then suggest a framework to select WWTP model, control parameters and control scheme in order to develop and benchmark control strategies for WWTP automation.
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污水处理厂控制策略
污水处理厂(WWTP)的运行是一项复杂的任务,需要考虑几个方面:适应不断变化的进水成分和体积,确保处理后的出水质量符合当地法规,确保生物反应池中的溶解氧水平足以避免缺氧等,同时最大限度地减少化学品的使用和电力消耗。传统的污水处理厂管理方式是由员工在现场测量各种参数,并根据他们的判断和经验做出决策,这存在数据频率低,测量误差大,难以分析历史数据以提出最优解决方案等问题。在活性污泥污水处理厂中,部分处理过程可以实现自动化和控制,以满足各种控制目标。国际水协会(IWA)开发的模型已在世界范围内广泛用于设计和评估各种控制策略的性能。在这项工作中,我们建议回顾世界各地最新的污水处理厂自动化计划,并确定目前最常用的控制参数和控制体系结构。然后,我们提出了一个框架来选择污水处理厂模型、控制参数和控制方案,以开发和基准控制策略的污水处理厂自动化。
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