Data on ion-exchange membrane fouling by humic acid during electrodialysis

Data in Brief

Arne Verliefde¹  Ingmar Nopens²  Wim De Schepper³  Eneko Larumbe⁴  Bram De Jaegher⁵ 

[1] CAPTURE, Centre for Advanced Process Technology for Urban Resource recovery, Coupure links 653, 9000 Ghent, Belgium;Corresponding author.;Flemish Institute for Technological Research (VITO), Boeretang 200, 2400 Mol, Belgium;PaInT, Department of Green Chemistry and Technology, Ghent University, Coupure links 653, 9000 Ghent, Belgium;BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, 9000 Ghent, Belgium;

关键词: Electrodialysis;    colloidal fouling;    humic acid;    ion-exchange membranes;    process settings;    bio-based;   

DOI  :  

来源: DOAJ

【 摘 要 】

This data paper aims to provide data on the effect of the process settings on the fouling of an electrodialysis pilot installation treating a sodium chloride solution (0.1 M and 0.2 M) in the presence of humic acid (1 g/L). This data was used by “Colloidal fouling in electrodialysis: a neural differential equations model” [1] to construct a predictive model and provides interpretive insights into this dataset. 22 electrodialysis fouling experiments were performed where the electrical resistance over the electrodialysis stack was monitored while varying the crossflow velocity (2.0 cm/s - 3.5 cm/s) in the compartments, the current applied (1.41 A - 1.91 A) to the stack and the salt concentration in the incoming stream. The active cycle was maintained for a maximum of 1.5 h after which the polarity was reversed to remove the fouling layer. Additional data is gathered such as the temperature, pH, flow rate, conductivity, pressure in the different compartments of the electrodialysis stack. The data is processed to remove the effect of temperature fluctuations and some filtering is performed. To maximise the reuse potential of this dataset, both raw and processed data are provided along with a detailed description of the pilot installation and sensor locations. The data generated can be useful for researchers and industry working on electrodialysis fouling and the modelling thereof. The availability of conductivity and pH in all compartments is useful to investigate secondary effects of humic acid fouling such as the eventual decrease in membrane permselectivity or water splitting effects introduced by the fouling layer.

【 授权许可】

Unknown