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

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

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

Desalination 402 (2017) 50–61 Contents lists available at ScienceDirect Desalination journal homepage: /locate/desal Analysis of direct contact membrane distillation based on a lumped-parameter dynamic predictive model Ayman M. Karama, Ahmad S. Alsaadib, Noreddine Ghaffourb, Taous Meriem Laleg-Kiratia,* aKing Abdullah University of Science and Technology (KAUST), Computer, Electrical and Mathematical Science and Engineering Division (CEMSE), Thuwal 23955-6900, Saudi Arabia bKing Abdullah University of Science and Technology (KAUST), Water Desalination and Reuse Center (WDRC), Biological and Environmental Sciences Engineering Division (BESE), Thuwal 23955-6900, Saudi Arabia HIGHLIGHTS ? We present a reduced order dynamic predictive model for direct contact membrane distillation process. ? Both time varying and steady-state responses are well captured and have been validated with experimental data. ? Analysis shows the response of several intrinsic variables under various conditions. ARTICLE INFO Article history: Received 24 March 2016 Received in revised form 18 August 2016 Accepted 5 September 2016 Available online 2 October 2016 Keywords: Dynamic modeling Direct contact membrane distillation (DCMD) Spacial temperature distribution Electrical analogy Heat and mass transfer Flux predictions Time response 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 ?ow direction. It also directly solves for

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