Simulation of momentum, heat and mass transfer in direct contact membrane distillation: A computational fluid dynamics approach

Hayer, Hossein; Bakhtiari, Omid; Mohammadi, Toraj

doi:10.1016/j.jiec.2014.06.009

Cited by 50 publications

(15 citation statements)

References 12 publications

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“…However, as in any chemical process equipment, flow distribution in MD remains driven by module design, such as its length, feed/permeate channel height, fluid inlet and outlet location, as well as operating conditions including inlet temperatures and fluid flow rate. Computational Fluid Dynamics (CFD) codes, which are available in commercial or open source versions, are now used in MD to assess process and equipment performance [6][7][8][9][10][11][12][13][14][15][16]. These codes, when associated with powerful mesh generators and post-processors, solve coupled momentum, heat and species transport to provide critical information, including, fluid velocity, pressure, temperature and chemical species distribution in complex computational domains.…”

Section: Introductionmentioning

confidence: 99%

Effect of feed flow pattern on the distribution of permeate fluxes in desalination by direct contact membrane distillation

et al. 2017

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The current study aims to highlight the effect of flow pattern on the variations of permeate fluxes over the membrane surface during desalination in a direct contact membrane distillation (DCMD) flat module. To do so, a three dimensional (3D) Computational Fluid Dynamics (CFD) model with embedded pore scale calculations is implemented to predict flow, heat and mass transfer in the DCMD module. Model validation is carried out in terms of average permeate fluxes with experimental data of seawater desalination using two commercially available PTFE membranes. Average permeate fluxes agree within 6% and less with experimental values without fitting parameters. Simulation results show that the distribution of permeate fluxes and seawater salinity over the membrane surface are strongly dependent on momentum and heat transport and that temperature and concentration polarization follow closely the flow distribution. The analysis reveals a drastic effect of recirculation loops and dead zones on module performance and recommendations to improve MD flat module design are drawn consequently.

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Section: Introductionmentioning

confidence: 99%

Effect of feed flow pattern on the distribution of permeate fluxes in desalination by direct contact membrane distillation

et al. 2017

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“…4 Furthermore, selection of a suitable nanoparticle is another vital variable. [17][18][19] This technique is very powerful and spans a wide range of industrial and non-industrial application areas. 15 Since all the research that has been performed on nanouid ooding is experimental work, for the fast advancement of this high-potential technique simulations and modeling studies can help researchers.…”

Section: Introductionmentioning

confidence: 99%

Application of CFD to evaluate the pore morphology effect on nanofluid flooding for enhanced oil recovery

et al. 2015

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In this study a computational fluid dynamics (CFD) method has been developed to simulate the effect of pore morphology and its distribution in a 2D micromodel on the enhanced oil recovery factor of nanofluid flooding. Seven types of micromodel with different schematics and pore shapes were considered. SiO 2 nanoparticles, dispersed in distilled water, were used for the preparation of the nanofluid and flooding operation. To generate the desirable porous media, the geometries of the micromodels were generated using the commercial grid generation tool, Gambit 2.3. Then, the momentum and mass transport equations were solved based on the finite volume method using the Fluent 6.3 software to investigate the displacement of oil at the pore scale. In order to better understand the nanoparticles' effects and to confirm the validity of the CFD simulations, numerical results have been compared with the experimental data. The influences of some parameters such as heterogeneity of pores, connectivity of pores with or without throat line, tortuosity and pore shape on the enhanced oil recovery, breakthrough time and fluid trapping in the porous media were investigated. From the results, it has been found that random generation of pore distribution illustrates better results compared to homogeneous pore distribution. In addition, with the presence of nanoparticles in the injected fluid the number of fingers decreases. The fingering effect has the main effect on the oil recovery factor with a lower fingering effect having a higher recovery factor. So, in the homogeneous pattern the nanofluid flow in the porous media is uniform and symmetric. But in the random distribution model, the fluid flow is more realistic and similar to the fluid flow in reservoirs.

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“…En Zhang et al 2015se utilizó un modelo CFD para estudiar la distribución de vapor y líquido en la membrana del módulo. En Hayer et al (2015) se incorporaron los efectos de la difusión de Knudsen, difusión molecular y flujo viscoso a la metodología CFD para estudiar el coeficiente de polarización de temperatura del módulo. En Karanikola et al (2015) se presentó un modelo basado en balances de masa y energía para estudiar los perfiles de temperatura y producción de destilado del módulo.…”

Section: Modelado De Plantas MDunclassified

Modelado y control automático en destilación por membranas solar: fundamentos y propuestas para su desarrollo tecnológico

Gil

Roca²,

Berenguel

2020

Rev. iberoam. autom. inform. ind.

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<p class="p1">La destilación por membranas es un proceso de separación impulsado térmicamente en fase de investigación. Esta tecnología destaca principalmente por la simplicidad del proceso y su baja temperatura de operación, lo que permite que pueda ser alimentada con energía solar de media-baja temperatura. Así, la destilación por membranas se ha convertido en una solución prometedora, eficiente y sostenible para desarrollar plantas de desalación de pequeño o mediano tamaño en lugares aislados con buenas condiciones de radiación. No obstante, para que esta tecnología pueda llegar a ser implementada a escala industrial se debe seguir investigando y mejorando aspectos relacionados tanto con el diseño de las membranas y de los módulos como con la propia operación de estos. En relación con la operación, el desarrollo de modelos y técnicas de control cobran un papel fundamental. En este trabajo se presenta una revisión de las técnicas de control y modelado aplicadas en este campo, describiendo las principales metodologías empleadas y los retos futuros que quedan por abordar, incluyendo además un ejemplo ilustrativo.</p>

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Simulation of momentum, heat and mass transfer in direct contact membrane distillation: A computational fluid dynamics approach

Cited by 50 publications

References 12 publications

Effect of feed flow pattern on the distribution of permeate fluxes in desalination by direct contact membrane distillation

Effect of feed flow pattern on the distribution of permeate fluxes in desalination by direct contact membrane distillation

Application of CFD to evaluate the pore morphology effect on nanofluid flooding for enhanced oil recovery

Modelado y control automático en destilación por membranas solar: fundamentos y propuestas para su desarrollo tecnológico

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