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Site-specific raw seawater quality impact study on SWRO process for optimizing operation of the pressurized step

Authors
Kim, Seung JoonLee, Young GeunCho, Kyung HwaKim, Young MiChoi, SeokhoKim, In S.Yang, Dae RyookKim, Joon Ha
Issue Date
Mar-2009
Publisher
ELSEVIER SCIENCE BV
Keywords
Site-specificity; Desalination; Reverse osmosis membrane; Seawater; SWRO; Optimization; Model; Concentration polarization; Non-isobaric operation
Citation
DESALINATION, v.238, no.1-3, pp.140 - 157
Indexed
SCIE
SCOPUS
Journal Title
DESALINATION
Volume
238
Number
1-3
Start Page
140
End Page
157
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/120522
DOI
10.1016/j.desal.2008.01.044
ISSN
0011-9164
Abstract
As a means of optimizing desalination processes, site-specificity in the determination of seawater quality conditions is a crucial point for improving the overall energy efficiency of a seawater reverse osmosis (SWRO) process. To this end, field studies were carried Out at 16 sampling sites along the shoreline in South Korea to investigate the site-specific features of seawater quality. Also, two mathematical models were developed for the simulation of SWRO processes dependent on seawater quality in macroscopic and microscopic contexts, respectively. As a result, the microscopic dynamic model revealed that concentration polarization in the vicinity of the membrane surface and permeate concentration are affected by the feed seawater concentration and pressure. Then, the application of Fujairah SWRO plant operation data to the macroscopic simulation of a non-isobaric SWRO process model resulted in significant energy savings in terms of operational pressure savings, reducing 0.3 bar from the annual average value in the first pass operational pressure. These findings suggest that a cost-effective SWRO operation can be feasible Using non-isobaric pressure controls by considering site-specific feed seawater concentrations. Results of the study presented here can be applied to improving the energy efficiency in SWRO plants through the optimization of pressurized systems.
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