Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/151151
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dc.contributor.authorPark, Jongkwanen_US
dc.contributor.authorJeong, Kwanhoen_US
dc.contributor.authorBaek, Sangsooen_US
dc.contributor.authorPark, Sanghunen_US
dc.contributor.authorLigaray, Mayzoneeen_US
dc.contributor.authorChong, Tzyy Hauren_US
dc.contributor.authorCho, Kyung Hwaen_US
dc.date.accessioned2021-08-31T04:49:08Z-
dc.date.available2021-08-31T04:49:08Z-
dc.date.issued2019-
dc.identifier.citationPark, J., Jeong, K., Baek, S., Park, S., Ligaray, M., Chong, T. H. & Cho, K. H. (2019). Modeling of NF/RO membrane fouling and flux decline using real-time observations. Journal of Membrane Science, 576, 66-77. https://dx.doi.org/10.1016/j.memsci.2019.01.031en_US
dc.identifier.issn0376-7388en_US
dc.identifier.other0000-0003-1739-1274-
dc.identifier.urihttps://hdl.handle.net/10356/151151-
dc.description.abstractMany numerical models for membrane filtration have been developed to explain and predict fouling mechanisms. The models can simulate flux decline, transmembrane pressure increase, and fouling thickness based on theoretical equations. However, the simulated fouling layer thicknesses have not been validated by in-situ observations on membrane surfaces because the membrane system is operated under a sealed and pressurized condition. In this study, humic acid fouling layers on nanofiltration and reverse osmosis membranes were monitored in-situ and in real-time using optical coherence tomography (OCT). The OCT system detected fouling layer growth over time, and showed that the compact and thick fouling layer had an estimated thickness of 80 µm. When comparing the thickness of the fouling layer between OCT and scanning electron microscopy (SEM) images, the OCT images showed values that were approximately 8 times higher than those of the SEM images. By comparing the obtained fouling thickness values with the estimated results, two existing models (Faridirad model and pore blockage-cake filtration model) were validated in terms of root mean square error (RMSE), Akaike Information Criteria (AIC), and coefficient of determination (R2). Both models showed similar high R2 (≥0.97) and low RMSE (<10-5) values, but the pore blockage-cake filtration model had lower AIC values than the Faridirad model. This study highlighted that the in-situ and real-time monitoring of fouling thickness can provide significant information for developing an accurate and precise membrane model.en_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Membrane Scienceen_US
dc.rights© 2019 Elsevier B.V. All rights reserved.en_US
dc.subjectEngineering::Environmental engineeringen_US
dc.titleModeling of NF/RO membrane fouling and flux decline using real-time observationsen_US
dc.typeJournal Articleen
dc.contributor.researchNanyang Environment and Water Research Instituteen_US
dc.contributor.researchSingapore Membrane Technology Centreen_US
dc.identifier.doi10.1016/j.memsci.2019.01.031-
dc.identifier.scopus2-s2.0-85060478499-
dc.identifier.volume576en_US
dc.identifier.spage66en_US
dc.identifier.epage77en_US
dc.subject.keywordsMembrane Fouling Modelen_US
dc.subject.keywordsOptical Coherence Tomographyen_US
dc.subject.keywordsReal Time Fouling Monitoringen_US
dc.description.acknowledgementThis work was supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 18IFIP-B116951-03) and by the Korea Institute of Energy Technology Evaluation and Planning(KETEP) through “Human Resources Program in Energy Technology” (No. 20164030201010/No. 20184030202250) funded by the Ministry of Trade, Industry and Energy, Republic of Korea.en_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
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