Imperial College London

Professor Xiao Yun Xu

Faculty of EngineeringDepartment of Chemical Engineering

Professor, Biofluid Mechanics & Director of Graduate School
 
 
 
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Contact

 

yun.xu Website

 
 
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Location

 

407ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Gu:2021:10.3390/membranes11050338,
author = {Gu, B and Adjiman, C and Xu, X},
doi = {10.3390/membranes11050338},
journal = {Membranes},
title = {Correlations for concentration polarisation and pressure drop in spacer-filled RO membrane modules based on CFD simulations},
url = {http://dx.doi.org/10.3390/membranes11050338},
volume = {11},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Empirical correlations for mass transfer coefficient and friction factor are often used in process models for reverse osmosis (RO) membrane systems. These usually involve four dimensionless groups, namely Reynolds number (Re), Sherwood number (Sh), friction factor (f), and Schmidt number (Sc), with the associated coefficients and exponents being obtained by fitting to experimental data. However, the range of geometric and operating conditions covered by the experiments is often limited. In this study, new dimensionless correlations for concentration polarization (CP) modulus and friction factor are presented, which are obtained by dimensional analysis and using simulation data from computational fluid dynamics (CFD). Two-dimensional CFD simulations are performed on three configurations of spacer-filled channels with 76 combinations of operating and geometric conditions for each configuration, covering a broad range of conditions encountered in RO membrane systems. Results obtained with the new correlations are compared with those from existing correlations in the literature. There is good consistency in the predicted CP with mean discrepancies less than 6%, but larger discrepancies for pressure gradient are found among the various friction factor correlations. Furthermore, the new correlations are implemented in a process model with six spiral wound modules in series and the predicted recovery, pressure drop, and specific energy consumption are compared with a reference case obtained by ROSA (Reverse Osmosis System Analysis, The Dow Chemical Company). Differences in predicted recovery and pressure drop are up to 5% and 83%, respectively, highlighting the need for careful selection of correlations when using predictive models in process design. Compared to existing mass transfer correlations, a distinct advantage of our correlations for CP modulus is that they can be directly used to estimate the impact of permeate flux on CP at a membrane surface without having to r
AU - Gu,B
AU - Adjiman,C
AU - Xu,X
DO - 10.3390/membranes11050338
PY - 2021///
SN - 2077-0375
TI - Correlations for concentration polarisation and pressure drop in spacer-filled RO membrane modules based on CFD simulations
T2 - Membranes
UR - http://dx.doi.org/10.3390/membranes11050338
UR - http://hdl.handle.net/10044/1/89661
VL - 11
ER -