Numerical modeling and optimization of vacuum membrane distillation module for low-cost water production
A two-dimensional numerical model, involving energy conservation, momentum transport and continuity equations, was developed to provide the profiles of temperature, velocity and pressure of vacuum membrane distillation (VMD) process using hollow fiber module. The theoretical prediction was in good a...
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/80044 http://hdl.handle.net/10220/19587 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-80044 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-800442020-03-07T11:43:31Z Numerical modeling and optimization of vacuum membrane distillation module for low-cost water production Zuo, Guangzhi Guan, Guoqiang Wang, Rong School of Civil and Environmental Engineering Singapore Membrane Technology Centre DRNTU::Engineering::Environmental engineering::Water treatment A two-dimensional numerical model, involving energy conservation, momentum transport and continuity equations, was developed to provide the profiles of temperature, velocity and pressure of vacuum membrane distillation (VMD) process using hollow fiber module. The theoretical prediction was in good agreement with the experimental results from literature. Four design and operation variables, including feed temperature, hollow fiber length, feed volume flow rate and vacuum pressure, were optimized to minimize water production cost (WPC) using genetic algorithm (GA). A case study shows that the WPC can be decreased by 38.1% in comparison with the non-optimized VMD process. Meanwhile, a general guidance for reducing the WPC was also provided. The feed temperature should be adopted as high as possible, while the hollow fiber length cannot be too long to result in a decrease in water flux and an increase in pressure drop. The flow rate is recommended to take a lower bound value and the moderate degree of vacuum is preferable. This study indicates the importance of VMD system optimization to minimize water production cost. NRF (Natl Research Foundation, S’pore) Accepted version 2014-06-10T01:29:46Z 2019-12-06T13:39:22Z 2014-06-10T01:29:46Z 2019-12-06T13:39:22Z 2014 2014 Journal Article Zuo, G., Guan, G., & Wang, R. (2014). Numerical modeling and optimization of vacuum membrane distillation module for low-cost water production. Desalination, 339, 1-9. 0011-9164 https://hdl.handle.net/10356/80044 http://hdl.handle.net/10220/19587 10.1016/j.desal.2014.02.005 en Desalination © 2014 Elsevier B.V. This is the author created version of a work that has been peer reviewed and accepted for publication by Desalination, Elsevier B.V. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.desal.2014.02.005]. application/pdf application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
country |
Singapore |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Environmental engineering::Water treatment |
spellingShingle |
DRNTU::Engineering::Environmental engineering::Water treatment Zuo, Guangzhi Guan, Guoqiang Wang, Rong Numerical modeling and optimization of vacuum membrane distillation module for low-cost water production |
description |
A two-dimensional numerical model, involving energy conservation, momentum transport and continuity equations, was developed to provide the profiles of temperature, velocity and pressure of vacuum membrane distillation (VMD) process using hollow fiber module. The theoretical prediction was in good agreement with the experimental results from literature. Four design and operation variables, including feed temperature, hollow fiber length, feed volume flow rate and vacuum pressure, were optimized to minimize water production cost (WPC) using genetic algorithm (GA). A case study shows that the WPC can be decreased by 38.1% in comparison with the non-optimized VMD process. Meanwhile, a general guidance for reducing the WPC was also provided. The feed temperature should be adopted as high as possible, while the hollow fiber length cannot be too long to result in a decrease in water flux and an increase in pressure drop. The flow rate is recommended to take a lower bound value and the moderate degree of vacuum is preferable. This study indicates the importance of VMD system optimization to minimize water production cost. |
author2 |
School of Civil and Environmental Engineering |
author_facet |
School of Civil and Environmental Engineering Zuo, Guangzhi Guan, Guoqiang Wang, Rong |
format |
Article |
author |
Zuo, Guangzhi Guan, Guoqiang Wang, Rong |
author_sort |
Zuo, Guangzhi |
title |
Numerical modeling and optimization of vacuum membrane distillation module for low-cost water production |
title_short |
Numerical modeling and optimization of vacuum membrane distillation module for low-cost water production |
title_full |
Numerical modeling and optimization of vacuum membrane distillation module for low-cost water production |
title_fullStr |
Numerical modeling and optimization of vacuum membrane distillation module for low-cost water production |
title_full_unstemmed |
Numerical modeling and optimization of vacuum membrane distillation module for low-cost water production |
title_sort |
numerical modeling and optimization of vacuum membrane distillation module for low-cost water production |
publishDate |
2014 |
url |
https://hdl.handle.net/10356/80044 http://hdl.handle.net/10220/19587 |
_version_ |
1681036512874987520 |