Simulation and prediction of electrooxidation removal of ammonia and its application in industrial wastewater effluent

被引:3
|
作者
Ding, Jing [1 ]
Gao, Qingwei [1 ]
Wang, Yuhan [1 ]
Zhao, Guanshu [1 ]
Wang, Kun [1 ]
Jiang, Junqiu [1 ]
Li, Junjing [2 ]
Zhao, Qingliang [1 ]
机构
[1] Harbin Inst Technol, Sch Environm, State Key Lab Urban Water Resources & Environm SK, Harbin, Peoples R China
[2] Tiangong Univ, Sch Environm Sci & Engn, Tianjin, Peoples R China
基金
中国国家自然科学基金;
关键词
ammonia; electrooxidation; flow field; industrial wastewater; simulation; LANDFILL LEACHATE; ELECTROCHEMICAL-OXIDATION; NITROGEN-REMOVAL; DISINFECTION; CHLORINE; SYSTEM; PRECIPITATION; MECHANISM; NITRATE; BDD;
D O I
10.1002/wer.1343
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A FLUENT software able to predict and assess the electrooxidation of ammonia from the simulation of ammonia concentration and flow field distribution was developed in this study. The flow field-based models of ammonia removal were simulated and modified through the experimental results. The parameter of reaction constant k is corrected to 0.00195, and the modified model fitted well with experimental values, with the error less than 4%. The electrode depth of 4 cm was assessed to be optimal for ammonia removal based on the comparison of the simulation results on ammonia concentration and flow field distribution. The prediction result applied in the industrial wastewater treatment indicated that complete could be achieved at 0.27 Ah/L, and about 50% of total nitrogen was removed at 0.8 Ah/L. About 7% of chloride ions were converted into inorganic by-products, indicating low biological toxicity and risk on environment. The energy consumption increased with the promotion of removal efficiency of total nitrogen, requiring 5.4 kWh/m(3) to remove 50% total nitrogen at 0.8 Ah/L. The results show the practicability and feasibility of this FLUENT software tool on the simulation and prediction of electrooxidation process, which can provide the simulation parameter settings for the subsequent application. Practitioner points A FLUENT software based on the simulation of ammonia concentration and flow field distribution was able to predict and assess ammonia electrooxidation. A modified model is provided with a rate constant k of 0.00195 and the distinction of 4% with experimental results. The optimal electrode depth was predicted to be 4 cm via the obtained model. Complete ammonia and about 50% of total nitrogen could be at 0.27 Ah/L and 0.8 Ah/L, receptively. About 7% of chloride ions were converted into inorganic by-products in industrial wastewater with high chloride.
引用
收藏
页码:51 / 60
页数:10
相关论文
共 50 条
  • [21] Process Development, Simulation, and Industrial Implementation of a New Coal-Gasification Wastewater Treatment Installation for Phenol and Ammonia Removal
    Yu, Zhenjiang
    Chen, Yun
    Feng, Dachun
    Qian, Yu
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2010, 49 (06) : 2874 - 2881
  • [22] Phosphate removal from industrial wastewater effluent using modified coal fly ash
    Dhanke, Prashant
    Patil, Abhijeet
    Kore, Vivek
    Thakare, Pavan
    Patil, Unmesh
    Wagh, Sameer
    DESALINATION AND WATER TREATMENT, 2018, 116 : 232 - 241
  • [23] The role of ammonia oxidizing microorganisms in biofiltration for the removal of trace organic compounds in secondary wastewater effluent
    Babcock, Nicholas
    Dickenson, Eric
    Gerrity, Daniel
    Papp, Katerina
    Quinones, Oscar
    Khan, Eakalak
    ENVIRONMENTAL SCIENCE-WATER RESEARCH & TECHNOLOGY, 2022, 8 (12) : 2994 - 3006
  • [24] Multi-Scale Temporal Convolutional Networks for Effluent COD Prediction in Industrial Wastewater
    Geng, Yun
    Zhang, Fengshan
    Liu, Hongbin
    APPLIED SCIENCES-BASEL, 2024, 14 (13):
  • [25] Application of genetic engineering for Chromium removal from industrial wastewater
    Srivastava, N.K.
    Jha, M.K.
    Mall, I.D.
    Singh, Davinder
    World Academy of Science, Engineering and Technology, 2010, 72 : 433 - 438
  • [26] Ammonia removal from industrial effluent using zirconium oxide and graphene-oxide nanocomposites
    Mousavi, Seyed Vahid
    Ahranjani, Parham Joolaei
    Saei, Sara Farshineh
    Mehrdadi, Naser
    Bidhendi, Gholamreza Nabi
    Jume, Binta Hadi
    Rezania, Shahabaldin
    Mojiri, Amin
    CHEMOSPHERE, 2022, 297
  • [27] Random Monte Carlo simulation analysis and risk assessment for ammonia concentrations in wastewater effluent disposal
    Carrasco, IJ
    Chang, SY
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2005, 19 (02) : 134 - 145
  • [28] Simulation of Effluent Biological Oxygen Demand and Ammonia for Increasingly Decentralized Networks of Wastewater Treatment Facilities
    Weirich, Scott R.
    Silverstein, JoAnn
    Rajagopalan, Balaji
    ENVIRONMENTAL ENGINEERING SCIENCE, 2015, 32 (03) : 232 - 239
  • [29] Random Monte Carlo simulation analysis and risk assessment for ammonia concentrations in wastewater effluent disposal
    Ivan Jose Carrasco
    Shoou-Yuh Chang
    Stochastic Environmental Research and Risk Assessment, 2005, 19 : 134 - 145
  • [30] Graphene oxide modified waste newspaper for removal of heavy metal ions and its application in industrial wastewater
    Chen, Hang
    Meng, Yi
    Jia, Shiyao
    Hua, Wenqiang
    Cheng, Yi
    Lu, Jie
    Wang, Haisong
    MATERIALS CHEMISTRY AND PHYSICS, 2020, 244