Analysis of direct contact membrane distillation based on a lumped-parameter dynamic predictive model

Handle URI:
http://hdl.handle.net/10754/622173
Title:
Analysis of direct contact membrane distillation based on a lumped-parameter dynamic predictive model
Authors:
Karam, Ayman M. ( 0000-0003-4130-330X ) ; Alsaadi, Ahmad Salem ( 0000-0002-5334-8305 ) ; Ghaffour, Noreddine ( 0000-0003-2095-4736 ) ; Laleg-Kirati, Taous-Meriem ( 0000-0001-5944-0121 )
Abstract:
Membrane distillation (MD) is an emerging technology that has a great potential for sustainable water desalination. In order to pave the way for successful commercialization of MD-based water desalination techniques, adequate and accurate dynamical models of the process are essential. This paper presents the predictive capabilities of a lumped-parameter dynamic model for direct contact membrane distillation (DCMD) and discusses the results under wide range of steady-state and dynamic conditions. Unlike previous studies, the proposed model captures the time response of the spacial temperature distribution along the flow direction. It also directly solves for the local temperatures at the membrane interfaces, which allows to accurately model and calculate local flux values along with other intrinsic variables of great influence on the process, like the temperature polarization coefficient (TPC). The proposed model is based on energy and mass conservation principles and analogy between thermal and electrical systems. Experimental data was collected to validated the steady-state and dynamic responses of the model. The obtained results shows great agreement with the experimental data. The paper discusses the results of several simulations under various conditions to optimize the DCMD process efficiency and analyze its response. This demonstrates some potential applications of the proposed model to carry out scale up and design studies. © 2016
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Biological and Environmental Sciences and Engineering (BESE) Division; Water Desalination and Reuse Research Center (WDRC)
Citation:
Karam AM, Alsaadi AS, Ghaffour N, Laleg-Kirati TM (2017) Analysis of direct contact membrane distillation based on a lumped-parameter dynamic predictive model. Desalination 402: 50–61. Available: http://dx.doi.org/10.1016/j.desal.2016.09.002.
Publisher:
Elsevier BV
Journal:
Desalination
Issue Date:
3-Oct-2016
DOI:
10.1016/j.desal.2016.09.002
Type:
Article
ISSN:
0011-9164
Sponsors:
Research reported in this publication was supported by King Abdullah University of Science and Technology (KAUST).
Additional Links:
http://www.sciencedirect.com/science/article/pii/S0011916416312358
Appears in Collections:
Articles; Water Desalination and Reuse Research Center (WDRC); Biological and Environmental Sciences and Engineering (BESE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorKaram, Ayman M.en
dc.contributor.authorAlsaadi, Ahmad Salemen
dc.contributor.authorGhaffour, Noreddineen
dc.contributor.authorLaleg-Kirati, Taous-Meriemen
dc.date.accessioned2017-01-02T08:42:35Z-
dc.date.available2017-01-02T08:42:35Z-
dc.date.issued2016-10-03en
dc.identifier.citationKaram AM, Alsaadi AS, Ghaffour N, Laleg-Kirati TM (2017) Analysis of direct contact membrane distillation based on a lumped-parameter dynamic predictive model. Desalination 402: 50–61. Available: http://dx.doi.org/10.1016/j.desal.2016.09.002.en
dc.identifier.issn0011-9164en
dc.identifier.doi10.1016/j.desal.2016.09.002en
dc.identifier.urihttp://hdl.handle.net/10754/622173-
dc.description.abstractMembrane distillation (MD) is an emerging technology that has a great potential for sustainable water desalination. In order to pave the way for successful commercialization of MD-based water desalination techniques, adequate and accurate dynamical models of the process are essential. This paper presents the predictive capabilities of a lumped-parameter dynamic model for direct contact membrane distillation (DCMD) and discusses the results under wide range of steady-state and dynamic conditions. Unlike previous studies, the proposed model captures the time response of the spacial temperature distribution along the flow direction. It also directly solves for the local temperatures at the membrane interfaces, which allows to accurately model and calculate local flux values along with other intrinsic variables of great influence on the process, like the temperature polarization coefficient (TPC). The proposed model is based on energy and mass conservation principles and analogy between thermal and electrical systems. Experimental data was collected to validated the steady-state and dynamic responses of the model. The obtained results shows great agreement with the experimental data. The paper discusses the results of several simulations under various conditions to optimize the DCMD process efficiency and analyze its response. This demonstrates some potential applications of the proposed model to carry out scale up and design studies. © 2016en
dc.description.sponsorshipResearch reported in this publication was supported by King Abdullah University of Science and Technology (KAUST).en
dc.publisherElsevier BVen
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0011916416312358en
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, 2 October 2016. DOI: 10.1016/j.desal.2016.09.002en
dc.subjectDirect contact membrane distillation (DCMD)en
dc.subjectDynamic modelingen
dc.subjectElectrical analogyen
dc.subjectFlux predictionsen
dc.subjectHeat and mass transferen
dc.subjectSpacial temperature distributionen
dc.subjectTime responseen
dc.titleAnalysis of direct contact membrane distillation based on a lumped-parameter dynamic predictive modelen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.contributor.departmentWater Desalination and Reuse Research Center (WDRC)en
dc.identifier.journalDesalinationen
dc.eprint.versionPost-printen
kaust.authorKaram, Ayman M.en
kaust.authorAlsaadi, Ahmad Salemen
kaust.authorGhaffour, Noreddineen
kaust.authorLaleg-Kirati, Taous-Meriemen
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