Phu Thi Kim Cuong, Nguyen Phi Long, Phung Thi Viet Bac
Center for Environmental Intelligence and College of Engineering and Computer Science, VinUniversity, Hanoi 100000, Vietnam.
Faculty of Electrical Engineering, Hanoi University of Industry, Hanoi 100000, Vietnam.
iScience. 2025 Feb 6;28(3):111965. doi: 10.1016/j.isci.2025.111965. eCollection 2025 Mar 21.
Electrocoagulation (EC) has been a well-known technology for wastewater treatment over the past centuries, owing to its straightforward equipment requirements and highly effective contaminant removal efficiency. This literature review emphasizes the influence of several input variables in the EC system such as electrode materials, applied current, pH, supporting electrolyte, and inner-electrode distance on effluent removal efficiency and energy consumption. Besides that, depending on the intrinsic properties of effluents, EC is recommended to hybridize with other methods such as physical-, biological-, chemical-, and electrochemical methods in order to enhance removal performance and reduce energy consumption. Subsequently, a comprehensive analysis of EC performance is presented, including power consumption, and evaluation of the synergistic effect of multiple input variables using statistical methods. Finally, this review discusses future perspectives such as the environmentally friendly utilization of post-EC treated sludges, the development of renewable energy-driven EC systems, and the challenges of EC management by artificial intelligence.
在过去几个世纪里,电凝(EC)一直是一种广为人知的废水处理技术,这得益于其简单的设备要求和高效的污染物去除效率。这篇文献综述强调了电凝系统中几个输入变量的影响,如电极材料、施加电流、pH值、支持电解质以及内电极距离对出水去除效率和能耗的影响。除此之外,根据废水的固有特性,建议将电凝与其他方法(如物理、生物、化学和电化学方法)相结合,以提高去除性能并降低能耗。随后,对电凝性能进行了全面分析,包括功耗,并使用统计方法评估多个输入变量的协同效应。最后,本综述讨论了未来的发展前景,如电凝处理后污泥的环境友好利用、可再生能源驱动的电凝系统的开发以及人工智能对电凝管理的挑战。