Bipolar membrane/hydrophobic gas permeable membrane electrochemical systems for highly efficient removal of ammonium nitrogen in wastewater
Journal Title: Energy Environmental Protection - Year 2024, Vol 38, Issue 1
Abstract
Ammonia nitrogen is one of the primary pollutants found in both surface water and groundwater, and its predominant form is heavily influenced by the pH of the aquatic environment. To address the pH dependency in the electrochemical oxidation and separation of ammonia nitrogen, we leveraged the advantages of a bipolar membrane (BPM) that stably generates H+/OH- in the electrolytic cell. Consequently, we proposed a bipolar membrane/hydrophobic gas permeable membrane-electrochemical system (BPM/GPM-EC) that demonstrated remarkable performance in removing ammonia nitrogen from wastewater. In a scenario where the initial ammonia nitrogen concentration was 4000 mg·L-1 and the current density was 10 mA·cm-2, operating the BPM/ GPM-EC system intermittently (with a focus on ammonia recovery) for 5 hours achieved an impressive 99.3% removal of ammonia nitrogen from the wastewater. Simultaneously, 92.3% of the ammonia nitrogen was successfully recovered, with a specific energy consumption of 18.2 kW·h·kg-1 N. In continuous-flow mode, the BPM/GPM-EC system achieved a remarkable ammonia recovery rate of 76.2% and completely removed ammonia nitrogen from the wastewater at a flow rate of 0.28 mL·min-1. Notably, the specific energy consumption forammonia nitrogen removal was only 14.9 kW·h·kg-1 N. These findings underscore the ability of BPM/ GPM-EC system to integrate low energy consumption and high efficiency in treating ammonia nitrogen in wastewater. The combination of recovery and removal presents a novel approach to address challenges associated with ammonia-containing wastewater treatment.
Authors and Affiliations
YAN Zhang|College of Ecological Environment and Urban Construction, Fujian University of Technology, China, School of Environment and Energy, South China University of Technology, China, KUANG Wenjie|School of Environment and Energy, South China University of Technology, China, JIANG Zhuwu|College of Ecological Environment and Urban Construction, Fujian University of Technology, China, FENG Chunhua| School of Environment and Energy, South China University of Technology, China, The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, China
Keywords
Related Articles
- EP ID EP736951
- DOI 10.20078/j.eep.20240121
- Views 100
- Downloads 1
Optimizing flow field of SCR DeNO_x reactor based on numerical simulation
To optimize the flow field of selective catalytic reduction (SCR) DeNO_x reactor, a combinational optimizing scheme was adopted. A multi-orifice plate was arranged at the inlet of the reactor, and three kinds of deflecto...
Research and application progress of carbon capture technology in the iron and steel industry
Carbon emission reduction in the iron and steel industry is critical for achieving China′s carbon neutral goal. This paper systematically reviews the research and application progress of various carbon capture technologi...
Catalytic purification of nitrogen oxides for complex industrial flue gas
Nitrogen oxides, as one of the main atmospheric pollutants, cause potential risks to human health and the atmospheric environment. In recent years, nitrogen oxide emissions from power plants have been reduced, and contro...
Advances in the pyrolytic transformation of lignocellulosic biomass tophenol-enriched bio-oil
With the increasing depletion of petrochemical resources and the environmental pollution caused by their consumption, the development and utilization of renewable resources have attracted extensive attention. Agroforestr...
Progress of reductive catalytic fractionation of lignocellulosic biomass based on the lignin-first strategy
Lignocellulosic biomass is the most abundant renewable carbon resource on the planet, which has the potential to replace oil to produce clean fuels and chemicals. At present, the efficient utilization of lignin component...