Repository logo

Pore Wetting in Desalination of Brine Using Membrane Distillation Process

dc.contributor.authorChamani, Hooman
dc.contributor.supervisorLan, Christopher
dc.contributor.supervisorMatsuura, Takeshi
dc.date.accessioned2021-11-22T20:55:34Z
dc.date.available2021-11-22T20:55:34Z
dc.date.issued2021-11-22en_US
dc.description.abstractIt goes without saying that water scarcity is a widespread and increasingly pressing global challenge. One of the methods which can mitigate water shortage is to increase freshwater production via desalination of saline waters. Seawater and saline aquifer sources represent 97.5% of all water on Earth. Hence, treating even a small portion of saline water could significantly reduce water shortage. Although reverse osmosis is one of the state-of-the-art pressure-driven membrane desalination technologies, it is incapable of desalinating high-salinity streams due to the very high osmotic pressure to overcome. Membrane distillation (MD) is one of the emerging methods, which has attracted much attention for desalinating highly saline brines. MD is a thermally driven process in which only vapor molecules pass through the pores of a microporous hydrophobic membrane. This process, however, has not been fully commercialized due to a number of challenges, including “pore wetting”. Pore wetting refers to the presence of liquid, instead of just water vapor, inside the membrane pores, which may cause a decrease in MD flux and/or deterioration of distillate quality. Herein, a comprehensive review on pore wetting is presented, and then this phenomenon is investigated from four aspects. In the first phase of this project, a theoretical model is presented according to which the pore size distribution of membrane, a parameter affecting pore wetting risk, is estimated by employing only a few experimental data points in accordance with the wet/dry method, reducing the number of data required to be recorded largely. In the next phase, an equation is presented for the estimation of liquid entry pressure (LEP), a membrane parameter closely related to pore wetting, using computational fluid dynamics (CFD) tools and genetic programming (GP) as an intelligent technique. This equation can estimate LEP in closer agreement to experimental values in comparison to the Young-Laplace equation. In the third phase, movement of liquid-gas interface inside the membrane pore is tracked using a well-founded model, and consequently, the pressure and velocity at the interface and the required time for replacement are studied. Finally, in the last phase, a model is developed for pore wetting in vacuum MD, considering heat and mass balances at the vapor-liquid interface. This model assumes that heat only enters the pore inlet and is removed due to liquid vaporization at the vapor-liquid interface, with heat transfer through the pore wall neglected. This model shows that partial pore wetting is possible since the vapor-liquid interface might remain within the pore at the steady-state condition. Further, this model can predict the decrease in temperature from the pore inlet to the vapor-liquid interface, a phenomenon that has been reported in the literature without any proof.en_US
dc.identifier.urihttp://hdl.handle.net/10393/42946
dc.identifier.urihttp://dx.doi.org/10.20381/ruor-27163
dc.language.isoenen_US
dc.publisherUniversité d'Ottawa / University of Ottawaen_US
dc.subjectPore Wettingen_US
dc.subjectMembrane Distillationen_US
dc.subjectDesalinationen_US
dc.subjectModelingen_US
dc.titlePore Wetting in Desalination of Brine Using Membrane Distillation Processen_US
dc.typeThesisen_US
thesis.degree.disciplineGénie / Engineeringen_US
thesis.degree.levelDoctoralen_US
thesis.degree.namePhDen_US
uottawa.departmentGénie chimique et biologique / Chemical and Biological Engineeringen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail ImageThumbnail Image
Name:
Chamani_Hooman_2021_thesis.pdf
Size:
8.23 MB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail ImageThumbnail Image
Name:
license.txt
Size:
6.65 KB
Format:
Item-specific license agreed upon to submission
Description: