Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141979
Title: Design and modeling of novel low-pressure nanofiltration hollow fiber modules for water softening and desalination pretreatment
Authors: Labban, Omar
Chong, Tzyy Haur
Lienhard V., John H.
Keywords: Engineering::Environmental engineering
Issue Date: 2018
Source: Labban, O., Chong, T. H., & Lienhard V., John H. (2018). Design and modeling of novel low-pressure nanofiltration hollow fiber modules for water softening and desalination pretreatment. Desalination, 439, 58-72. doi:10.1016/j.desal.2018.04.002
Journal: Desalination
Abstract: Given its high surface area to volume ratio and desirable mass transfer characteristics, the hollow fiber module configuration has been central to the development of RO and UF technologies over the past five decades. Recent studies have demonstrated the development of a novel class of low-pressure nanofiltration (NF) hollow fiber membranes with great promise for scale-up implementation. Further progress on large-scale deployment, however, has been restrained by the lack of an accurate predictive model, to guide module design and operation. Earlier models targeting hollow fiber modules are only suitable for RO or UF. In this work, we propose a new modeling approach suitable for NF based on the implementation of mass and momentum balances, coupled with a validated membrane transport model based on the extended Nernst-Planck equation to predict module performance at the system-level. Modeling results are validated with respect to synthetic seawater experiments reported in an earlier work. A preliminary module design is proposed, and parametric studies are employed to investigate the effect of varying key system parameters and elucidate the tradeoffs available during design. The model has significant implications for low-pressure nanofiltration, as well as hollow fiber NF module design and operation.
URI: https://hdl.handle.net/10356/141979
ISSN: 0011-9164
DOI: 10.1016/j.desal.2018.04.002
Rights: © 2018 Elsevier B.V. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:CEE Journal Articles

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.