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Simulation of NOM removal by capillary NF : A numerical method for full-scale plant design

Keucken, Alexander LU ; Liu, Xuefei ; Lian, Boyue ; Wang, Yuan ; Persson, Kenneth M. LU and Leslie, Greg (2018) In Journal of Membrane Science 555. p.229-236
Abstract

The removal of natural organic matter (NOM) from boreal lake water by a novel capillary nanofiltration (NF) membrane was predicted using a computational fluid dynamics (CFD) modelling approach. The 2-dimensional axis-symmetric model was based on a 48 m3/day NF pilot plant operating in cross-flow mode on water containing 8 mg/L total organic carbon (TOC) at fluxes ranging from 10 to 25 L/m2/h and velocities ranging from 0.25 to 1.0 m/s. A “mass jump” source code developed using the solution diffusion model was used to simulate water flux and variations in NOM content as a function of axial and radial position in the capillary fibres. The model was validated within 3% inaccuracy using pilot data for filtrate TOC and... (More)

The removal of natural organic matter (NOM) from boreal lake water by a novel capillary nanofiltration (NF) membrane was predicted using a computational fluid dynamics (CFD) modelling approach. The 2-dimensional axis-symmetric model was based on a 48 m3/day NF pilot plant operating in cross-flow mode on water containing 8 mg/L total organic carbon (TOC) at fluxes ranging from 10 to 25 L/m2/h and velocities ranging from 0.25 to 1.0 m/s. A “mass jump” source code developed using the solution diffusion model was used to simulate water flux and variations in NOM content as a function of axial and radial position in the capillary fibres. The model was validated within 3% inaccuracy using pilot data for filtrate TOC and UV254 absorbance and longitudinal pressure drop. The model was subsequently used to compare the effect of module length and number of stages on the design performance of a 110,000 m3/day NF plant. Simulations indicated that 1.5 m long modules operated in a double pass configuration removed 33% more NOM compared with 3.0 m long modules in a single pass. Moreover, the use of 1.5 m modules in the full-scale plant configured in a 10:5:3:2 four stage array achieved greater NOM removal than a 10:5:3 three stage at the same plant water recovery (90.5%) using lower recycle rates and lower net energy consumption. The paper demonstrates that the combination of experimental and numerical methods can be an effective tool for the design of nanofiltration plants for enhanced NOM removal.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Capillary nanofiltration, Computational fluid dynamics, NOM removal
in
Journal of Membrane Science
volume
555
pages
8 pages
publisher
Elsevier
external identifiers
  • scopus:85044525071
ISSN
0376-7388
DOI
10.1016/j.memsci.2018.03.016
language
English
LU publication?
yes
id
7df11e51-a35b-46fd-828d-ad52dace72a5
date added to LUP
2018-04-10 10:17:44
date last changed
2022-04-25 06:42:49
@article{7df11e51-a35b-46fd-828d-ad52dace72a5,
  abstract     = {{<p>The removal of natural organic matter (NOM) from boreal lake water by a novel capillary nanofiltration (NF) membrane was predicted using a computational fluid dynamics (CFD) modelling approach. The 2-dimensional axis-symmetric model was based on a 48 m<sup>3</sup>/day NF pilot plant operating in cross-flow mode on water containing 8 mg/L total organic carbon (TOC) at fluxes ranging from 10 to 25 L/m<sup>2</sup>/h and velocities ranging from 0.25 to 1.0 m/s. A “mass jump” source code developed using the solution diffusion model was used to simulate water flux and variations in NOM content as a function of axial and radial position in the capillary fibres. The model was validated within 3% inaccuracy using pilot data for filtrate TOC and UV254 absorbance and longitudinal pressure drop. The model was subsequently used to compare the effect of module length and number of stages on the design performance of a 110,000 m<sup>3</sup>/day NF plant. Simulations indicated that 1.5 m long modules operated in a double pass configuration removed 33% more NOM compared with 3.0 m long modules in a single pass. Moreover, the use of 1.5 m modules in the full-scale plant configured in a 10:5:3:2 four stage array achieved greater NOM removal than a 10:5:3 three stage at the same plant water recovery (90.5%) using lower recycle rates and lower net energy consumption. The paper demonstrates that the combination of experimental and numerical methods can be an effective tool for the design of nanofiltration plants for enhanced NOM removal.</p>}},
  author       = {{Keucken, Alexander and Liu, Xuefei and Lian, Boyue and Wang, Yuan and Persson, Kenneth M. and Leslie, Greg}},
  issn         = {{0376-7388}},
  keywords     = {{Capillary nanofiltration; Computational fluid dynamics; NOM removal}},
  language     = {{eng}},
  month        = {{06}},
  pages        = {{229--236}},
  publisher    = {{Elsevier}},
  series       = {{Journal of Membrane Science}},
  title        = {{Simulation of NOM removal by capillary NF : A numerical method for full-scale plant design}},
  url          = {{http://dx.doi.org/10.1016/j.memsci.2018.03.016}},
  doi          = {{10.1016/j.memsci.2018.03.016}},
  volume       = {{555}},
  year         = {{2018}},
}