Dynamic modeling and experimental validation for direct contact membrane distillation (DCMD) process
Type
ArticleAuthors
Eleiwi, Fadi
Ghaffour, NorEddine

Alsaadi, Ahmad Salem

Francis, Lijo
Laleg-Kirati, Taous-Meriem

KAUST Department
Biological and Environmental Sciences and Engineering (BESE) DivisionComputational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Environmental Science and Engineering Program
Estimation, Modeling and ANalysis Group
Mechanical Engineering Program
Physical Science and Engineering (PSE) Division
Water Desalination and Reuse Research Center (WDRC)
Date
2016-02-01Online Publication Date
2016-02-01Print Publication Date
2016-04Permanent link to this record
http://hdl.handle.net/10754/604760
Metadata
Show full item recordAbstract
This work proposes a mathematical dynamic model for the direct contact membrane distillation (DCMD) process. The model is based on a 2D Advection–Diffusion Equation (ADE), which describes the heat and mass transfer mechanisms that take place inside the DCMD module. The model studies the behavior of the process in the time varying and the steady state phases, contributing to understanding the process performance, especially when it is driven by intermittent energy supply, such as the solar energy. The model is experimentally validated in the steady state phase, where the permeate flux is measured for different feed inlet temperatures and the maximum absolute error recorded is 2.78 °C. Moreover, experimental validation includes the time variation phase, where the feed inlet temperature ranges from 30 °C to 75 °C with 0.1 °C increment every 2min. The validation marks relative error to be less than 5%, which leads to a strong correlation between the model predictions and the experiments.Citation
Dynamic modeling and experimental validation for direct contact membrane distillation (DCMD) process 2016, 384:1 DesalinationSponsors
The research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST)Publisher
Elsevier BVJournal
DesalinationAdditional Links
http://linkinghub.elsevier.com/retrieve/pii/S0011916416300042ae974a485f413a2113503eed53cd6c53
10.1016/j.desal.2016.01.004