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dc.contributor.authorLee, Jung Gil
dc.contributor.authorGhaffour, NorEddine
dc.date.accessioned2019-08-20T13:22:06Z
dc.date.available2019-08-20T13:22:06Z
dc.date.issued2019-08-12
dc.identifier.citationLee, J., & Ghaffour, N. (2019). Predicting the performance of large-scale forward osmosis module using spatial variation model: Effect of operating parameters including temperature. Desalination, 469, 114095. doi:10.1016/j.desal.2019.114095
dc.identifier.doi10.1016/j.desal.2019.114095
dc.identifier.urihttp://hdl.handle.net/10754/656553
dc.description.abstractForward osmosis (FO) is considered as an energy-efficient process for numerous applications. Although its performance is determined by the spatially varied operation factors and the length of the channel, most of the reported simulation studies rely on length-averaged lumped models. Here, we introduce a one-D model based on heat and mass transfer and transport behavior for both bulk draw and feed channel flows. We find prediction results to be in good agreement with two different experimental results at inlet feed temperatures below 25 °C. However, the difference of water flux (Jw) and reverse salt flux (RSF) between measured and predicted data increases when both feed and draw temperatures also increase. Our theoretical simulation study first reveals that the feed temperature near the membrane active layer surface is the main factor for improving water and salt permeabilities. We find that, with a channel width of 0.3 m and a channel length of 2.5 m, Jw and RSF calculated using the length-averaged based lumped model are overestimated by 13.01% and 13.12%, respectively, compared to those obtained using our new spatial variation model. Our study demonstrates that the length-averaged based lumped model is not an appropriate simulation model to predict the performance of large-scale FO modules at lower inlet velocities.
dc.description.sponsorshipThe research reported in this paper was supported by funding from King Abdullah University of Science and Technology (KAUST), Saudi Arabia. The authors acknowledge help, assistance and support from the Water Desalination and Reuse Center (WDRC) staff, and Mrs. Elisabeth M. Lutanie, Science Editor, Writer, Publication Services and Researcher Support at KAUST for editing the paper.
dc.publisherElsevier BV
dc.relation.urlhttps://linkinghub.elsevier.com/retrieve/pii/S0011916419309932
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Desalination. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Desalination, [[Volume], [Issue], (2019-08-12)] DOI: 10.1016/j.desal.2019.114095 . © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectFO simulation
dc.subjectSpatial variation
dc.subjectLength-averaged lumped model
dc.subjectInfluence of temperatures
dc.subjectWater and salt permeabilities
dc.titlePredicting the performance of large-scale forward osmosis module using spatial variation model: Effect of operating parameters including temperature
dc.typeArticle
dc.contributor.departmentWater Desalination and Reuse Research Center (WDRC)
dc.contributor.departmentEnvironmental Science and Engineering Program
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.identifier.journalDesalination
dc.rights.embargodate2021-08-12
dc.eprint.versionPost-print
dc.contributor.institutionThermal & Fluid System R&D Group, Korea Institute of Industrial Technology, 89 Yangdaegiro-gil, Ipjang-myeon, Seobuk-gu, Cheonan 331-822, Republic of Korea
kaust.personLee, Jung Gil
kaust.personGhaffour, Noreddine
kaust.acknowledged.supportUnitWater Desalination and Reuse Center (WDRC)
dc.date.published-online2019-08-12
dc.date.published-print2019-11


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