Optimization and control strategies of aeration in WWTPs: A review

Gu, Yong; Liu, Yu; Yuan, Fang; Yang, Qiang

doi:10.1016/j.jclepro.2023.138008

Cited by 45 publications

(5 citation statements)

References 131 publications

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“…The simulation results demonstrated a good estimation performance. Finally, according to Gu et al [135], advanced control methodologies, including ANN and fuzzy logic, as well as hybrid approaches such as self-adaptive fuzzy PID control, demonstrated enhanced efficiency in aeration control.…”

Section: Controlling Biological Treatment Processes-aspmentioning

confidence: 99%

Dynamic Modelling, Process Control, and Monitoring of Selected Biological and Advanced Oxidation Processes for Wastewater Treatment: A Review of Recent Developments

Parsa,

Dhib,

Mehrvar

2024

Bioengineering

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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.

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Section: Controlling Biological Treatment Processes-aspmentioning

confidence: 99%

Dynamic Modelling, Process Control, and Monitoring of Selected Biological and Advanced Oxidation Processes for Wastewater Treatment: A Review of Recent Developments

Parsa,

Dhib,

Mehrvar

2024

Bioengineering

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“…WWTPs are considered a censorious response to the growing public health concerns associated with urban sprawl and industrialization, which have led to the contamination of natural water bodies [14,15]. Traditional energy consumption patterns in WWTPs have historically been characterized by high levels of electricity and thermal energy use, mainly due to the intensive mechanical and biological processes for aeration in the activated sludge process, pumping systems, and equipment required for water treatment through the removal of solids and other contaminants to meet regulatory standards [16,17]. Research on municipal wastewater treatment plants has revealed that up to 66% of the energy used in activated sludge treatment facilities is consumed by sludge pumping and aeration, as seen in Figure 1.…”

Section: Historical Context and Current Energy Practices In Wwtpsmentioning

confidence: 99%

Enhancing Energy Efficiency and Resource Recovery in Wastewater Treatment Plants

Twi-Yeboah,

Osei,

Dontoh

et al. 2024

Energies

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This paper explores the significant role of Wastewater Treatment Plants (WWTPs) in achieving environmental sustainability, with a particular focus on enhancing energy efficiency, resource recovery, and water reuse. WWTPs are crucial for removing pollutants and recovering resources from wastewater, thereby protecting public health and biodiversity. However, they are also associated with high operational costs, substantial carbon footprints, and energy-intensive processes. This article delves into various strategies and technologies to overcome these challenges, aiming to transform WWTPs from energy consumers to energy-efficient resource recovery hubs. Techniques such as anaerobic digestion and the use of advanced oxidation processes and microbial fuel cells are investigated for their potential in energy recovery and efficiency enhancement. Success stories from around the globe are highlighted to demonstrate the feasibility of transitioning to energy-positive WWTP operations. The integration of water reuse systems is also discussed, highlighting recent advancements that enable treated wastewater to be repurposed for agricultural, industrial, and potable uses, thereby promoting sustainability and water conservation. This paper emphasizes the importance of integrating cutting-edge energy management practices to minimize environmental impacts, reduce operational costs, and contribute to a more sustainable water sector.

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“…Increasingly, mathematical computer-based models are being utilized for wastewater treatment processes to predict various technological options, facilitating the identification of optimal solutions such as the aforementioned NO 2 shunt method and reductions in aeration costs. Aeration constitutes the most energy-intensive process in wastewater treatment plants [Gu et al, 2023], often exceeding 50% of total energy consumption [Drewnowski et al, 2019]. Most current aeration systems rely on measuring oxygen concentrations in the nitrification tank for control.…”

Section: Advancements In Wwtp Control Systems and Development Of Math...mentioning

confidence: 99%

Innovations in Wastewater Treatment: Harnessing Mathematical Modeling and Computer Simulations with Cutting-Edge Technologies and Advanced Control Systems

Drewnowski,

Szeląg,

Sabba

et al. 2023

J. Ecol. Eng.

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The wastewater treatment landscape in Central Europe, particularly in Poland, has undergone a profound transformation due to European Union (EU) integration. Fueled by EU funding and rapid technological advancements, wastewater treatment plants (WWTPs) have adopted cutting-edge control methods to adhere to EU Water Framework Directive mandates. WWTPs contend with complexities such as variable flow rates, temperature fluctuations, and evolving influent compositions, necessitating advanced control systems and precise sensors to ensure water quality, enhance energy efficiency, and reduce operational costs. Wastewater mathematical modeling provides operational flexibility, acting as a virtual testing ground for process enhancements and resource optimization. Real-time sensors play a crucial role in creating these models by continuously monitoring key parameters and supplying data to predictive models. These models empower real-time decision-making, resulting in minimized downtime and reduced expenses, thus promoting the sustainability and efficiency of WWTPs while aligning with resource recovery and environmental stewardship goals. The evolution of WWTPs in Central Europe is driven by a range of factors. To optimize WWTPs, a multi-criteria approach is presented, integrating simulation models with data mining methods, while taking into account parameter interactions. This approach strikes a balance between the volume of data collected and the complexity of statistical analysis, employing machine learning techniques to cut costs for process optimization. The future of WWTP control systems lies in "smart process control systems", which revolve around simulation models driven by real-time data, ultimately leading to optimal biochemical processes. In conclusion, Central Europe's wastewater treatment sector has wholeheartedly embraced advanced control methods and mathematical modeling to comply with EU regulations and advance sustainability objectives. Real-time monitoring and sophisticated modeling are instrumental in driving efficient, resource-conscious operations. Challenges remain in terms of data accessibility and cost-effective online monitoring, especially for smaller WWTPs.

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Optimization and control strategies of aeration in WWTPs: A review

Cited by 45 publications

References 131 publications

Dynamic Modelling, Process Control, and Monitoring of Selected Biological and Advanced Oxidation Processes for Wastewater Treatment: A Review of Recent Developments

Dynamic Modelling, Process Control, and Monitoring of Selected Biological and Advanced Oxidation Processes for Wastewater Treatment: A Review of Recent Developments

Enhancing Energy Efficiency and Resource Recovery in Wastewater Treatment Plants

Innovations in Wastewater Treatment: Harnessing Mathematical Modeling and Computer Simulations with Cutting-Edge Technologies and Advanced Control Systems

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