关键词: AOPs ASPs SBRs biological wastewater treatment dynamic modelling online monitoring process control real-time monitoring wastewater treatment

来  源:   DOI:10.3390/bioengineering11020189   PDF(Pubmed)

Abstract:
This review emphasizes the significance of formulating control strategies for biological and advanced oxidation process (AOP)-based wastewater treatment systems. The aim is to guarantee that the effluent quality continuously aligns with environmental regulations while operating costs are minimized. It highlights the significance of understanding the dynamic behaviour of the process in developing effective control schemes. The most common process control strategies in wastewater treatment plants (WWTPs) are explained and listed. It is emphasized that the proper control scheme should be selected based on the process dynamic behaviour and control goal. This study further discusses the challenges associated with the control of wastewater treatment processes, including inadequacies in developed models, the limitations of most control strategies to the simulation stage, the imperative requirement for real-time data, and the financial and technical intricacies associated with implementing advanced controller hardware. It is discussed that the necessity of the availability of real-time data to achieve reliable control can be achieved by implementing proper, accurate hardware sensors in suitable locations of the process or by developing and implementing soft sensors. This study recommends further investigation on available actuators and the criteria for choosing the most appropriate one to achieve robust and reliable control in WWTPs, especially for biological and AOP-based treatment approaches.
摘要:
这篇综述强调了为基于生物和高级氧化工艺(AOP)的废水处理系统制定控制策略的重要性。目的是确保废水质量与环境法规保持一致,同时将运营成本降至最低。它强调了理解过程的动态行为在开发有效控制方案中的重要性。解释并列出了污水处理厂(WWTP)中最常见的过程控制策略。强调应根据过程动态行为和控制目标选择适当的控制方案。本研究进一步讨论了与废水处理过程控制相关的挑战,包括开发模型的不足,大多数控制策略对仿真阶段的局限性,对实时数据的迫切需求,以及与实施高级控制器硬件相关的财务和技术复杂性。讨论了实时数据的可用性实现可靠控制的必要性,在过程的合适位置或通过开发和实施软传感器来实现精确的硬件传感器。本研究建议对可用的执行器进行进一步调查,并选择最合适的执行器以在污水处理厂中实现稳健可靠的控制,特别是对于生物和基于AOP的治疗方法。
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