Electrical equivalent thermal network for direct contact membrane distillation modeling and analysis
KAUST DepartmentComputational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Online Publication Date2016-09-19
Print Publication Date2016-11
Permanent link to this recordhttp://hdl.handle.net/10754/622287
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AbstractMembrane distillation (MD) is an emerging water desalination technology that offers several advantages compared to conventional desalination methods. Although progress has been made to model the physics of the process, there are two common limitations of existing models. Firstly, many of the models are based on the steady-state analysis of the process and secondly, some of the models are based on partial differential equations, which when discretized introduce many states which are not accessible in practice. This paper presents the derivation of a novel dynamic model, based on the analogy between electrical and thermal systems, for direct contact membrane distillation (DCMD). An analogous electrical thermal network is constructed and its elements are parameterized such that the response of the network models the DCMD process. The proposed model captures the spatial and temporal responses of the temperature distribution along the flow direction and is able to accurately predict the distilled water flux output. To demonstrate the adequacy of the proposed model, validation with time varying and steady-state experimental data is presented. (C) 2016 Elsevier Ltd. All rights reserved.
CitationKaram AM, Laleg-Kirati TM (2016) Electrical equivalent thermal network for direct contact membrane distillation modeling and analysis. Journal of Process Control 47: 87–97. Available: http://dx.doi.org/10.1016/j.jprocont.2016.08.001.
SponsorsResearch reported in this publication was supported by King Abdullah University of Science and Technology (KAUST). The authors would like to thank Dr. Noreddine Ghaffour and his team in Water Desalination and Reuse Center at KAUST for providing the dynamical experimental data and the helpful discussions on membrane distillation.
JournalJournal of Process Control