Progress in membrane distillation processes for dye wastewater treatment: A review

被引:0
作者
Nthunya L.N. [1 ]
Chong K.C. [2 ,3 ]
Lai S.O. [2 ,3 ]
Lau W.J. [4 ]
López-Maldonado E.A. [5 ]
Camacho L.M. [6 ]
Shirazi M.M.A. [7 ]
Ali A. [7 ]
Mamba B.B. [8 ]
Osial M. [9 ]
Pietrzyk-Thel P. [9 ]
Pregowska A. [9 ]
Mahlangu O.T. [8 ]
机构
[1] Molecular Sciences Institute, School of Chemistry, University of the Witwatersrand, Private Bag X3, Johannesburg
[2] Department of Chemical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Jalan Sungai Long, Selangor, Kajang
[3] Centre of Photonics and Advanced Materials Research, Universiti Tunku Abdul Rahman, Perak, Kampar
[4] Advanced Membrane Technology Research Centre (AMTEC), Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, Johor, Johor Bahru
[5] Faculty of Chemical Sciences and Engineering, Autonomous University of Baja California, B.C., Tijuana
[6] Department of Environmental Engineering, Texas A&M University-Kingsville, MSC 2013, 700 University Blvd., Kingsville, 78363, TX
[7] Centre for Membrane Technology, Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, Aalborg
[8] Institute for Nanotechnology and Water Sustainability, College of Science, Engineering and Technology, University of South Africa, Florida Science Campus, Roodepoort
[9] Institute of Fundamental Technological Research, Polish Academy of Sciences, Pawińskiego 5B, Warsaw
基金
新加坡国家研究基金会;
关键词
Dye effluent; Energy consumption; Fouling; Heat and mass transfer; Membrane and module design; Membrane distillation;
D O I
10.1016/j.chemosphere.2024.142347
中图分类号
学科分类号
摘要
Textile and cosmetic industries generate large amounts of dye effluents requiring treatment before discharge. This wastewater contains high levels of reactive dyes, low to none-biodegradable materials and chemical residues. Technically, dye wastewater is characterised by high chemical and biological oxygen demand. Biological, physical and pressure-driven membrane processes have been extensively used in textile wastewater treatment plants. However, these technologies are characterised by process complexity and are often costly. Also, process efficiency is not achieved in cost-effective biochemical and physical treatment processes. Membrane distillation (MD) emerged as a promising technology harnessing challenges faced by pressure-driven membrane processes. To ensure high cost-effectiveness, the MD can be operated by solar energy or low-grade waste heat. Herein, the MD purification of dye wastewater is comprehensively and yet concisely discussed. This involved research advancement in MD processes towards removal of dyes from industrial effluents. Also, challenges faced by this process with a specific focus on fouling are reviewed. Current literature mainly tested MD setups in the laboratory scale suggesting a deep need of further optimization of membrane and module designs in near future, especially for textile wastewater treatment. There is a need to deliver customized high-porosity hydrophobic membrane design with the appropriate thickness and module configuration to reduce concentration and temperature polarization (CP and TP). Also, energy loss should be minimized while increasing dye rejection and permeate flux. Although laboratory experiments remain pivotal in optimizing the MD process for treating dye wastewater, the nature of their time intensity poses a challenge. Given the multitude of parameters involved in MD process optimization, artificial intelligence (AI) methodologies present a promising avenue for assistance. Thus, AI-driven algorithms have the potential to enhance overall process efficiency, cutting down on time, fine-tuning parameters, and driving cost reductions. However, achieving an optimal balance between efficiency enhancements and financial outlays is a complex process. Finally, this paper suggests a research direction for the development of effective synthetic and natural dye removal from industrially discharged wastewater. © 2024 The Authors
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