Modeling and Simulation in Membranes and Membrane Processes

A special issue of Membranes (ISSN 2077-0375). This special issue belongs to the section "Membrane Physics and Theory".

Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 3754

Special Issue Editors


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Guest Editor
School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), 123 Cheomdangwagi-ro, Buk-gu, Gwangju 61005, Korea
Interests: membrane; water treatment; wastewater treatment; process engineering; cfd; fsi; economic assessment

E-Mail Website
Guest Editor
International Environmental Research Institute, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
Interests: membrane; modeling; simulation; artificial intelligence; desalination; salinity gradient

Special Issue Information

Dear Colleagues,

The membrane separation process is an extensive research area with diversified disciplines and applications. From the first discovery of dialysis in the 19th century, through the revolutionary invention of the anisotropic membrane by Sydney Loeb and S. Souirajan in the 1960s, to state-of-the-art membrane technology, such as nanocomposite membrane and salinity gradient energy, membrane technology has made remarkable progress throughout history since the membrane was first discovered. However, the most important aspect is that there are countless challenges and hindrances for any simple idea to achieve commercial maturity. For process or technological development at the laboratory scale, proper understanding of the mechanism and formulation of systematic parameters has to be preceded to ensure successful implementation at the commercial level. In this regard, modeling and simulation are powerful tools that cannot be missed in a course of developments towards practical implementation.

There is a broad range of models, including traditional models based on experimental physicochemical correlation and mass balance, thermodynamic models, computational fluid dynamics (CFD)-based models, and machine learning based models, that have gained popularity over the recent years. Each modeling approach has its own insights on and contributions to research on mass transport through membranes, fluid dynamics in membrane modules, and process scale-up in various membrane processes.

In this Special Issue, we welcome research articles, communications, and critical/comprehensive reviews from a wide range of membrane research areas, with a preference on the titled area: “Modeling and Simulation in Membranes and Membrane Processes”.

Dr. Chulmin Lee
Dr. Sung Ho Chae
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Membranes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Membrane process
  • Process simulation
  • Reverse osmosis
  • Ultrafiltration
  • Nanofiltration
  • Microfiltration
  • Forward osmosis
  • Membrane distillation
  • Pressure-retarded osmosis
  • Reversed electrodialysis
  • Computational fluid dynamics
  • Artificial intelligence
  • Machine learning
  • Electrodeionization
  • Membrane capacitive deionization
  • Ultrapure water processes

Published Papers (1 paper)

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Research

15 pages, 17814 KiB  
Article
Numerical Simulation of the Water Vapor Separation of a Moisture-Selective Hollow-Fiber Membrane for the Application in Wood Drying Processes
by Nasim Alikhani, Douglas W. Bousfield, Jinwu Wang, Ling Li and Mehdi Tajvidi
Membranes 2021, 11(8), 593; https://doi.org/10.3390/membranes11080593 - 31 Jul 2021
Cited by 2 | Viewed by 2982
Abstract
In this study, a simplified two-dimensional axisymmetric finite element analysis (FEA) model was developed, using COMSOL Multiphysics® software, to simulate the water vapor separation in a moisture-selective hollow-fiber membrane for the application of air dehumidification in wood drying processes. The membrane material [...] Read more.
In this study, a simplified two-dimensional axisymmetric finite element analysis (FEA) model was developed, using COMSOL Multiphysics® software, to simulate the water vapor separation in a moisture-selective hollow-fiber membrane for the application of air dehumidification in wood drying processes. The membrane material was dense polydimethylsiloxane (PDMS). A single hollow fiber membrane was modelled. The mass and momentum transfer equations were simultaneously solved to compute the water vapor concentration profile in the single hollow fiber membrane. A water vapor removal experiment was conducted by using a lab-scale PDMS hollow fiber membrane module operated at constant temperature of 35 °C. Three operation parameters of air flow rate, vacuum pressure, and initial relative humidity (RH) were set at different levels. The final RH of dehydrated air was collected and converted to water vapor concentration to validate simulated results. The simulated results were fairly consistent with the experimental data. Both experimental and simulated results revealed that the water vapor removal efficiency of the membrane system was affected by air velocity and vacuum pressure. A high water vapor removal performance was achieved at a slow air velocity and high vacuum pressure. Subsequently, the correlation of Sherwood (Sh)–Reynolds (Re)–Schmidt (Sc) numbers of the PDMS membrane was established using the validated model, which is applicable at a constant temperature of 35 °C and vacuum pressure of 77.9 kPa. This study delivers an insight into the mass transport in the moisture-selective dense PDMS hollow fiber membrane-based air dehumidification process, with the aims of providing a useful reference to the scale-up design, process optimization and module development using hollow fiber membrane materials. Full article
(This article belongs to the Special Issue Modeling and Simulation in Membranes and Membrane Processes)
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