Electrical equivalent thermal network for direct contact membrane distillation modeling and analysis
Type
ArticleKAUST Department
Computational Bioscience Research Center (CBRC)Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Date
2016-09-19Online Publication Date
2016-09-19Print Publication Date
2016-11Permanent link to this record
http://hdl.handle.net/10754/622287
Metadata
Show full item recordAbstract
Membrane 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.Citation
Karam 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.Sponsors
Research 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.Publisher
Elsevier BVJournal
Journal of Process ControlAdditional Links
http://www.sciencedirect.com/science/article/pii/S0959152416301020ae974a485f413a2113503eed53cd6c53
10.1016/j.jprocont.2016.08.001