An energy-efficient air-breathing cathode electrocoagulation approach for the treatment of arsenite in aquatic systems

被引:16
|
作者
Maitlo, Hubdar Ali [1 ]
Lee, Jechan [2 ]
Park, Joo Yang [1 ]
Kim, Jo-Chun [3 ]
Kim, Ki-Hyun [1 ]
Kim, Jung Hwan [1 ]
机构
[1] Hanyang Univ, Dept Civil & Environm Engn, 222 Wangsimni Ro, Seoul 04763, South Korea
[2] Ajou Univ, Dept Environm & Safety Engn, 206 Worldcup Ro, Suwon 16499, South Korea
[3] Konkuk Univ, Dept Environm Engn, 120 Neungdong Ro, Seoul 05029, South Korea
基金
新加坡国家研究基金会;
关键词
Air-breathing cathode electrocoagulation; Electrolytes; Flow rate; Applied voltage; Comparison with conventional EC; WASTE-WATER TREATMENT; FUEL-CELL ELECTROCOAGULATION; NATURAL ORGANIC-MATTER; POWER-GENERATION; DRINKING-WATER; REMOVAL; IRON; GROUNDWATER; ARSENATE; ADSORPTION;
D O I
10.1016/j.jiec.2019.01.026
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
An air-breathing cathode electrocoagulation (ACEC) process with a sacrificial aluminum anode was used to treat arsenite (As(III)) from aqueous systems. Its performance was investigated by controlling operational parameters. As(III) removal efficiency of the ACEC increased from 81 to 86% with an increase in NaCl concentration from 10 to 20 mM. Furthermore, we were able to observe the oxidation of As(III) into its corresponding ions as well as the production of an aluminum oxide hydroxide in the form of boehmite. This study describes ACEC as one of the most energy-efficient treatment methods for As(III) removal based on its performance evaluation. (C) 2019 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:205 / 213
页数:9
相关论文
共 50 条
  • [31] Effective indoor air quality for energy-efficient homes: a comparison of UK rating systems
    McGill, Grainne
    Oyedele, Lukumon O.
    McAllister, Keith
    Qin, Menghao
    ARCHITECTURAL SCIENCE REVIEW, 2016, 59 (02) : 159 - 173
  • [32] Tailoring an energy-efficient carbon breathing paper by rigid-flexible interlocking for life support systems
    Xiang, Qin
    Lu, Wei
    Zhan, Lianlong
    Wang, Lei
    Xiao, Lingping
    Sun, Runcang
    Wang, Shuangfei
    He, Hui
    CHEMICAL ENGINEERING JOURNAL, 2025, 508
  • [33] An energy-efficient approach for information transfer from distributed wireless sensor systems
    Vincent, Patrick J.
    Tummala, Murali
    McEachen, John
    PROCEEDINGS OF THE 2006 IEEE/SMC INTERNATIONAL CONFERENCE ON SYSTEM OF SYSTEMS ENGINEERING, 2006, : 100 - +
  • [34] Machine Learning Based Energy-Efficient Design Approach for Interconnects in Circuits and Systems
    Le, Hung Khac
    Kim, SoYoung
    APPLIED SCIENCES-BASEL, 2021, 11 (03): : 1 - 17
  • [35] LU factorization on heterogeneous systems: an energy-efficient approach towards high performance
    Cheng Chen
    Jianbin Fang
    Tao Tang
    Canqun Yang
    Computing, 2017, 99 : 791 - 811
  • [36] A hierarchical approach for energy-efficient scheduling of large workloads in multicore distributed systems
    Dorronsoro, Bernabe
    Nesmachnow, Sergio
    Taheri, Javid
    Zomaya, Albert Y.
    Talbi, El-Ghazali
    Bouvry, Pascal
    SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2014, 4 (04): : 252 - 261
  • [37] Homotopy Approach for Energy-Efficient MIMO Systems With Zero-Forcing Transceivers
    Dai, Jisheng
    Xu, Weichao
    Ye, Zhongfu
    Hu, Nan
    Chang, Chunqi
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (02) : 1233 - 1247
  • [38] LU factorization on heterogeneous systems: an energy-efficient approach towards high performance
    Chen, Cheng
    Fang, Jianbin
    Tang, Tao
    Yang, Canqun
    COMPUTING, 2017, 99 (08) : 791 - 811
  • [39] Explaining the Diffusion of Energy-Efficient Lighting in India: A Technology Innovation Systems Approach
    Mir, Danish Ahmad
    Doll, Christopher N. H.
    Lindner, Robert
    Parray, Muhammad Tabish
    ENERGIES, 2020, 13 (21)
  • [40] Feature-oriented energy consumption allowance approach of machining systems for energy-efficient manufacturing
    Ma, Feng
    Huang, Shunhu
    Zhang, Hua
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2025,