Water Flux Prediction in Direct Contact Membrane Distillation Subject to Inorganic Fouling Article Swipe
Francisco Suárez
,
María B. del Río
,
Jazmín E. Aravena
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/membranes12020157
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/membranes12020157
Freshwater is a limited resource, which has driven the development of new purification and water-reuse technologies. One promising technology for water treatment is membrane distillation (MD). One of the main problems of MD, and of many desalination technologies, is membrane fouling, which reduces the performance of the membrane. This work presents a mathematical model that aims to predict distillate fluxes in direct-contact MD when fouling occurs as salts are deposited onto the membrane surface, forming an inorganic fouling layer. The mathematical model uses a heat- and mass-transfer formulation for prediction of the distillate flux under steady state conditions, and it is combined with the cake-filtration theory to represent the distillate fluxes after the onset of membrane fouling. Model results agree well with experimental observation of distillate fluxes, both before (~12–14 kg m−2 h−1) and after the onset of membrane fouling, with root-mean-square errors smaller than 1.4 kg m−2 h−1 in all the experiments. These results suggest that the cake-filtration theory can be used to represent water flux decline in MD membranes prone to inorganic fouling. From our experiments and from the modelling exercise, we found that the onset of membrane failure was relatively constant; the precipitation reaction constant is conditioned by the physicochemical interaction between the feed solution and the membrane; and the rate of flux decline after membrane fouling depends on flow conditions as well as on the precipitation compound. However, the proposed model has limitations that must be addressed in future investigations to validate it under a wider range of operating conditions, for membranes composed by other materials and with different feed solutions to address organic, biological, and/or colloidal fouling, which typically occur under real conditions.
Related Topics
Concepts
Membrane distillation
Fouling
Membrane
Membrane fouling
Filtration (mathematics)
Chemistry
Distillation
Desalination
Precipitation
Flux (metallurgy)
Chemical engineering
Membrane technology
Chromatography
Thermodynamics
Environmental engineering
Environmental science
Mathematics
Meteorology
Engineering
Organic chemistry
Physics
Statistics
Biochemistry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/membranes12020157
- https://www.mdpi.com/2077-0375/12/2/157/pdf?version=1643437336
- OA Status
- gold
- Cited By
- 13
- References
- 56
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4210445879
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4210445879Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/membranes12020157Digital Object Identifier
- Title
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Water Flux Prediction in Direct Contact Membrane Distillation Subject to Inorganic FoulingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-01-28Full publication date if available
- Authors
-
Francisco Suárez, María B. del Río, Jazmín E. AravenaList of authors in order
- Landing page
-
https://doi.org/10.3390/membranes12020157Publisher landing page
- PDF URL
-
https://www.mdpi.com/2077-0375/12/2/157/pdf?version=1643437336Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.mdpi.com/2077-0375/12/2/157/pdf?version=1643437336Direct OA link when available
- Concepts
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Membrane distillation, Fouling, Membrane, Membrane fouling, Filtration (mathematics), Chemistry, Distillation, Desalination, Precipitation, Flux (metallurgy), Chemical engineering, Membrane technology, Chromatography, Thermodynamics, Environmental engineering, Environmental science, Mathematics, Meteorology, Engineering, Organic chemistry, Physics, Statistics, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
13Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 4, 2023: 4Per-year citation counts (last 5 years)
- References (count)
-
56Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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