To maximize pollutant removal efficiency with minimal energy consumption, electrochemical process for wastewater treatment should be further conducted. The stepping control of electrochemical process for simultaneous removal of chemical oxygen demand (COD) and ammonia from simulated and actual wastewater with high efficiency and energy saving was studied in this work. Flow rate, initial pH value, Cl− concentration, and applied current density were determined to be the influencing factors for the degradation performance, and analyses of pollutant removal efficiency further revealed that applied current density was the significant parameter in this case. A stepping control system by operating applied current density timely based on the degradation pathway of organic matter and variation of anodic working potential was then proposed; results indicated that 90.9% COD and 100% ammonia could be removed, and energy consumption of 7.6 kWh m−3 was calculated, which was substantially lower than that of the traditional electro-oxidation system (11.7 kWh m−3). Additionally, the developed stepping control system was validated by treating an actual pharmaceutical wastewater, results for which showed that removal efficiencies of 81.7% and 100% were achieved for COD and ammonia, respectively, and energy saving could be up to 37.2%.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.