%0 Journal Article
%T Nanofiltration performance prediction for brackish water desalination: case study of Tunisian groundwater
%+ Institut Européen des membranes (IEM)
%+ Laboratoire de sciences des matériaux et de l’environnement [Université de Sfax] (SME)
%+ Laboratoire Charles Coulomb (L2C)
%A Kammoun, Mohamed, Ayman
%A Gassara, Sana
%A Palmeri, John
%A Amar, Ben
%A Deratani, André
%< avec comité de lecture
%@ 1944-3994
%J Desalination and Water Treatment
%I FHF
%V 181
%P 27-39
%8 2020-03
%D 2020
%R 10.5004/dwt.2020.25100
%K Membrane desalination
%K Groundwater
%K Nanofiltration
%K Performance prediction
%K Software validation
%Z Engineering Sciences [physics]/Reactive fluid environment
%Z Physics [physics]/Condensed Matter [cond-mat]/Statistical Mechanics [cond-mat.stat-mech]
%Z Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsJournal articles
%X In response to the fresh water scarcity, Tunisia is utilizing more and more membrane desalination of unconventional resources, including brackish waters and seawater. The widespread reserves of groundwaters and their low salinity make this resource of special interest. Two predominant ionic compositions have been identified depending on their relative proportion of sulfate to chloride ions. The question arising for the decision-makers concerns the choice of membrane technology and, therefore, of membrane. Two nanofiltration (NF) membranes (NF270 and NF90) and a reverse osmosis (RO) one (BW30) were tested in a desalination study of synthetic feeds reproducing the ionic composition of three representative groundwaters. Sulfate/chloride ratio appears to be the key factor for the membrane choice to obtain good quality drinking water meeting the Tunisian standards. Moreover, validation of two prediction tools was investigated: ROSA, software provided by the membrane manufacturer and Nanoflux ® , software specifically designed for NF. The experimental NF results are well fitted by the Nanoflux ® simulations. We concluded that ROSA cannot generally provide good NF predictions because it does not take into account the electric interactions between membrane and feed.
%G English
%2 https://hal.science/hal-03089688/document
%2 https://hal.science/hal-03089688/file/Brackish_Water_Ayman_%20DWT_MS_2020.pdf
%L hal-03089688
%U https://hal.science/hal-03089688
%~ CNRS
%~ ENSC-MONTPELLIER
%~ IEM
%~ L2C
%~ INC-CNRS
%~ MIPS
%~ CHIMIE
%~ UNIV-MONTPELLIER
%~ TEST-HALCNRS
%~ UM-2015-2021
%~ TEST2-HALCNRS