An Improved Modelling Approach for the Comprehensive Study of Direct Contact Membrane Distillation.

desalination membrane distillation modelling temperature and concentration polarisation

Journal

Membranes
ISSN: 2077-0375
Titre abrégé: Membranes (Basel)
Pays: Switzerland
ID NLM: 101577807

Informations de publication

Date de publication:
22 Apr 2021
Historique:
received: 24 03 2021
revised: 16 04 2021
accepted: 19 04 2021
entrez: 30 4 2021
pubmed: 1 5 2021
medline: 1 5 2021
Statut: epublish

Résumé

Direct Contact Membrane Distillation (DCMD) is a promising and feasible technology for water desalination. Most of the models used to simulate DCMD are one-dimensional and/or use a linear function of vapour pressure which relies on experimentally determined parameters. In this study, the model of DCMD using Nusselt correlations was improved by coupling the continuity, momentum, and energy equations to better capture the downstream alteration of flow field properties. A logarithmic function of vapour pressure, which is independent from experiments, was used. This allowed us to analyse DCMD with different membrane properties. The results of our developed model were in good agreement with the DCMD experimental results, with less than 7% deviation. System performance metrics, including water flux, temperature, and concentration polarisation coefficient and thermal efficiency, were analysed by varying inlet feed and permeate temperature, inlet velocity, inlet feed concentration, channel length. In addition, twenty-two commercial membranes were analysed to obtain a real vision on the influence of membrane characteristics on system performance metrics. The results showed that the feed temperature had the most significant effect on water flux and thermal efficiency. The increased feed temperature enhanced the water flux and thermal efficiency; however, it caused more concentration and temperature polarisation. On the other hand, the increased inlet velocity was found to provide increased water flux and reduced temperature and concertation polarisation as well. It was also found that the membrane properties, especially thickness and porosity, can affect the DCMD performance significantly. A two-fold increase of feed temperature increased the water flux and thermal efficiency, 10-fold and 27%, respectively; however, it caused an increase in temperature and concertation polarisation, at 48% and 34%, respectively. By increasing Reynolds number from 80 to 1600, the water flux, CPC, and TPC enhanced by 2.3-fold, 2%, and 21%, respectively. The increased feed concentration from 0 to 250 [g/L] caused a 26% reduction in water flux. To capture the downstream alteration of flow properties, it was shown that the ratio of inlet value to outlet value of system performance metrics decreased significantly throughout the module. Therefore, improvement over the conventional model is undeniable, as the new model can assist in achieving optimal operation conditions.

Identifiants

pubmed: 33922337
pii: membranes11050308
doi: 10.3390/membranes11050308
pmc: PMC8145701
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

Membranes (Basel). 2019 May 06;9(5):
pubmed: 31064093
Membranes (Basel). 2018 Jun 15;8(2):
pubmed: 29914072
Membranes (Basel). 2018 Aug 15;8(3):
pubmed: 30111696
Membranes (Basel). 2020 Jul 03;10(7):
pubmed: 32635417
Science. 2011 Aug 5;333(6043):712-7
pubmed: 21817042
Membranes (Basel). 2012 Jul 17;2(3):415-29
pubmed: 24958289
Membranes (Basel). 2020 Jan 16;10(1):
pubmed: 31963230
Membranes (Basel). 2019 Apr 11;9(4):
pubmed: 30978973
Membranes (Basel). 2019 Jun 05;9(6):
pubmed: 31195743

Auteurs

Abolfazl Ansari (A)

School of Engineering and Built Environment, Griffith University, Brisbane, QLD 4111, Australia.

Saman Kavousi (S)

Independent Researcher, Esteghlal Blvd., Shiraz 71757-43659, Iran.

Fernanda Helfer (F)

School of Engineering and Built Environment, Griffith University, Brisbane, QLD 4111, Australia.

Graeme Millar (G)

Institute for Future Environments, School of Mechanical, Medical & Process Engineering, Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia.

David V Thiel (DV)

School of Engineering and Built Environment, Griffith University, Brisbane, QLD 4111, Australia.

Classifications MeSH