Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.4
4.2
Journals
Membranes
Special Issues
Membrane Synthesis and Progress in Membrane Reactor
share announcement

Membrane Synthesis and Progress in Membrane Reactor

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

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 10015

Special Issue Editors

Dr. Hongsheng Wang

E-Mail Website
Guest Editor
1. MOE Key Laboratory of Hydrodynamic Machinery Transients, School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China
2. Department of Chemical System Engineering, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
Interests: solar thermochemistry; energy conversion and storage; thermal energy utilization; membrane reactor; hydrogen generation
Prof. Dr. Hui Kong

E-Mail Website
Guest Editor
School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Interests: solar thermochemical fuel production; solar desalination; technical and economic analysis of energy system
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Wenjia Li

E-Mail Website
Guest Editor
Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (Tianjin University), Ministry of Education of China, Tianjin 300350, China
Interests: renewable energy utilization and energy storage
Dr. Xiaofei Lu

E-Mail Website
Guest Editor
Department of Chemical System Engineering, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
Interests: porous material (zeolite/MOF) for separation; shape- and composition-controlled synthesis of metal and metal alloy
Dr. Jian Wang

E-Mail Website
Guest Editor
School of Energy and Environment, City University of Hong Kong, Hong Kong, China
Interests: electrochemical energy conversion and storage; hydrogen generation and utilization; thermal management

Special Issue Information

Dear Colleagues, 

Membrane technology is a promising method for selectively separating and purifying gases, and it can be integrated with reactions to separate products during reactions to shift the equilibrium of the reaction forward to reach a high conversion rate and low reaction temperature. Additionally, the use of a membrane reactor is considered a valuable way to enhance the efficiency of high-purity product generation, which is attractive in hydrogen generation and CO2 capture and purification. Moreover, functional membranes have played essential roles in water treatment, desalination, fuel cells, electrolytic cells, flow cells, and metal batteries in recent research. 

This Special Issue invites submissions of either original research or critical reviews on the most recent advancements in membrane synthesis and their application in membrane reactors. Potential topics include (but are not limited to) the following: 

  • Membrane synthesis, characterization, and optimization;
  • Membrane processes and characterization techniques;
  • Advanced membrane reactors for fuel or chemical engineering product generation;
  • Membrane seperation and purification, including desalination, gas separation, pervaporation, and vapor permeation applications;
  • Membrane application in electrochemistry, including fuel cell, electrolytic cell, flow cell, and metal battery;
  • Advanced energy / chemical engineering system integrated with membrane reactor;
  • Thermodynamic / environmental / economic analysis of membrane reactor/system. 

We look forward to receiving your contributions.

Dr. Hongsheng Wang
Dr. Xiaofei Lu
Prof. Dr. Hui Kong
Prof. Dr. Wenjia Li
Dr. Wang Jian
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 synthesis
  • membrane reactor
  • fuel generation
  • cell and battery
  • separation and purification
  • functional membrane
  • membrane catalysis
  • simulations and modellings

Published Papers (5 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

11 pages, 3532 KiB  
Article
Zirconium and Yttrium Co-Doped BaCo0.8Zr0.1Y0.1O3-δ: A New Mixed-Conducting Perovskite Oxide-Based Membrane for Efficient and Stable Oxygen Permeation
by Zixiang Xu, Jian Yu and Wei Wang
Membranes 2022, 12(9), 831; https://doi.org/10.3390/membranes12090831 - 25 Aug 2022
Cited by 3 | Viewed by 1613
Abstract
Oxygen permeation membranes (OPMs) are regarded as promising technology for pure oxygen production. Among various materials for OPMs, perovskite oxides with mixed electron and oxygen-ion (e−/O2−) conducting capability have attracted particular interest because of the high O2− conductivity [...] Read more.
Oxygen permeation membranes (OPMs) are regarded as promising technology for pure oxygen production. Among various materials for OPMs, perovskite oxides with mixed electron and oxygen-ion (e−/O2−) conducting capability have attracted particular interest because of the high O2− conductivity and structural/compositional flexibility. However, BaCoO3−δ-based perovskites as one of the most investigated OPMs suffer from low oxygen permeation rate and inferior structural stability in CO2-containing atmospheres. Herein, zirconium and yttrium co-doped BaCoO3−δ (BaCo1−2xZrxYxO3−δ, x = 0, 0.05, 0.1 and 0.15) are designed and developed for efficient and stable OPMs by stabilizing the crystal structure of BaCoO3−δ. With the increased Zr/Y co-doping content, the crystal structural stability of doped BaCoO3−δ is much improved although the oxygen permeation flux is slightly reduced. After optimizing the co-doping amount, BaCo0.8Zr0.1Y0.1O3−δ displays both a high rate and superior durability for oxygen permeation due to the well-balanced grain size, oxygen-ion mobility, crystal structural stability, oxygen vacancy concentration and surface exchange/bulk diffusion capability. Consequently, the BaCo0.8Zr0.1Y0.1O3−δ membrane delivers a high oxygen permeation rate of 1.3 mL min−1 cm−2 and relatively stable operation at 800 ∘C for 100 h. This work presents a promising co-doping strategy to boost the performance of perovskite-based OPMs, which can promote the industrial application of OPM technology. Full article
(This article belongs to the Special Issue Membrane Synthesis and Progress in Membrane Reactor)
►▼ Show Figures

Graphical abstract

25 pages, 4673 KiB  
Article
Improved Artificial Neural Network Training Based on Response Surface Methodology for Membrane Flux Prediction
by Syahira Ibrahim and Norhaliza Abdul Wahab
Membranes 2022, 12(8), 726; https://doi.org/10.3390/membranes12080726 - 23 Jul 2022
Cited by 4 | Viewed by 1267
Abstract
This paper presents an improved artificial neural network (ANN) training using response surface methodology (RSM) optimization for membrane flux prediction. The improved ANN utilizes the design of experiment (DoE) technique to determine the neural network parameters. The technique has the advantage of training [...] Read more.
This paper presents an improved artificial neural network (ANN) training using response surface methodology (RSM) optimization for membrane flux prediction. The improved ANN utilizes the design of experiment (DoE) technique to determine the neural network parameters. The technique has the advantage of training performance, with a reduced training time and number of repetitions in achieving good model prediction for the permeate flux of palm oil mill effluent. The conventional training process is performed by the trial-and-error method, which is time consuming. In this work, Levenberg–Marquardt (lm) and gradient descent with momentum (gdm) training functions are used, the feed-forward neural network (FFNN) structure is applied to predict the permeate flux, and airflow and transmembrane pressure are the input variables. The network parameters include the number of neurons, the learning rate, the momentum, the epoch, and the training functions. To realize the effectiveness of the DoE strategy, central composite design is incorporated into neural network methodology to achieve both good model accuracy and improved training performance. The simulation results show an improvement of more than 50% of training performance, with less repetition of the training process for the RSM-based FFNN (FFNN-RSM) compared with the conventional-based FFNN (FFNN-lm and FFNN-gdm). In addition, a good accuracy of the models is achieved, with a smaller generalization error. Full article
(This article belongs to the Special Issue Membrane Synthesis and Progress in Membrane Reactor)
►▼ Show Figures

Figure 1

15 pages, 5916 KiB  
Article
Production and Optimization of Biodiesel in a Membrane Reactor, Using a Solid Base Catalyst
by Olusegun Ayodeji Olagunju, Paul Musonge and Sammy Lewis Kiambi
Membranes 2022, 12(7), 674; https://doi.org/10.3390/membranes12070674 - 30 Jun 2022
Cited by 9 | Viewed by 1633
Abstract
The commercial Calcium oxide was successfully embedded on activated carbon surfaces to increase the reactive surface area of a composite catalyst material CaO/AC. The composite catalyst material was also successfully packed in the tubular titanium dioxide/Aluminum dioxide ceramic membrane reactor used to separate [...] Read more.
The commercial Calcium oxide was successfully embedded on activated carbon surfaces to increase the reactive surface area of a composite catalyst material CaO/AC. The composite catalyst material was also successfully packed in the tubular titanium dioxide/Aluminum dioxide ceramic membrane reactor used to separate the biodiesel produced. Virgin soybean oil was used as precursor feedstock for the reaction. Using a central composite approach, response surface methodology (RSM) was employed to obtain the optimum conditions for producing biodiesel from soybean oil. A total of four process factors were examined (24 experimental designs). 30 experiments were derived and run to investigate the effects of temperature, reaction time, methanol to oil molar ratio, and catalyst concentration (calcium oxide attached on activated carbon). 96.9 percent of soybean oil methyl ester (SOME/biodiesel) was produced at 65 °C temperature, 90 min of reaction time, 4.2:1 molar ratio of methanol to oil, and 3.0 wt.% catalyst concentration. The measured yield and expected biodiesel production values were correlated in a linear sequence. The fuel qualities of SOME/biodiesel were tested, including kinematic viscosity, density, flash point, copper corrosion, calorific value, cloud point, pour point, ash content, and carbon residue. Full article
(This article belongs to the Special Issue Membrane Synthesis and Progress in Membrane Reactor)
►▼ Show Figures

Figure 1

15 pages, 1889 KiB  
Article
Thermodynamic Optimization of Ammonia Decomposition Solar Heat Absorption System Based on Membrane Reactor
by Tianchao Xie, Shaojun Xia and Qinglong Jin
Membranes 2022, 12(6), 627; https://doi.org/10.3390/membranes12060627 - 16 Jun 2022
Cited by 8 | Viewed by 2065
Abstract
In this paper, an ammonia decomposition membrane reactor is applied to a solar heat absorption system, and thermodynamic optimization is carried out according to the usage scenarios. First, a model of an ammonia decomposition solar heat absorption system based on the membrane reactor [...] Read more.
In this paper, an ammonia decomposition membrane reactor is applied to a solar heat absorption system, and thermodynamic optimization is carried out according to the usage scenarios. First, a model of an ammonia decomposition solar heat absorption system based on the membrane reactor is established by using finite time thermodynamics (FTT) theory. Then, the three-objective optimization with and the four-objective optimization without the constraint of the given heat absorption rate are carried out by using the NSGA-II algorithm. Finally, the optimized performance objectives and the corresponding design parameters are obtained by using the TOPSIS decision method. Compared with the reference system, the TOPSIS optimal solution for the three-objective optimization can reduce the entropy generation rate by 4.8% and increase the thermal efficiency and energy conversion rate by 1.5% and 1.4%, respectively. The optimal solution for the four-objective optimization can reduce the heat absorption rate, entropy generation rate, and energy conversion rate by 15.5%, 14%, and 8.7%, respectively, and improve the thermal efficiency by 15.7%. The results of this paper are useful for the theoretical study and engineering application of ammonia solar heat absorption systems based on membrane reactors. Full article
(This article belongs to the Special Issue Membrane Synthesis and Progress in Membrane Reactor)
►▼ Show Figures

Figure 1

18 pages, 3159 KiB  
Article
Variables and Mechanisms Affecting Electro-Membrane Extraction of Bio-Succinic Acid from Fermentation Broth
by Alina Anamaria Malanca, Enrico Mancini, Mohamed Yusuf, Gabriel Kjær Khensir, Seyed Soheil Mansouri, Ioannis V. Skiadas, Hariklia N. Gavala and Manuel Pinelo
Membranes 2022, 12(5), 542; https://doi.org/10.3390/membranes12050542 - 23 May 2022
Cited by 4 | Viewed by 2296
Abstract
The production of succinic acid from fermentation is a promising approach for obtaining building-block chemicals from renewable sources. However, the limited bio-succinic yield from fermentation and the complexity of purification has been making the bio-succinic acid production not competitive with petroleum-based succinic acid. [...] Read more.
The production of succinic acid from fermentation is a promising approach for obtaining building-block chemicals from renewable sources. However, the limited bio-succinic yield from fermentation and the complexity of purification has been making the bio-succinic acid production not competitive with petroleum-based succinic acid. Membrane electrolysis has been identified to be a promising technology in both production and separation stages of fermentation processes. This work focuses on identifying the key operational parameters affecting the performance of the electrolytic cell for separating succinic acid from fermentation broth through an anionic exchange membrane. Indeed, while efforts are mainly focused on studying the performance of an integrated fermenter-electrolytic cell system, a lack of understanding remains in how to tune the electrolytic cell and which main parameters are involved. The results show that a single electrolytic cell of operating volume 250 mL was able to extract up to 3 g L−1 h−1 of succinic acid. The production of OH− ions by water electrolysis can act as a buffer for the fermenter and it could be tuned as a function of the extraction rate. Furthermore, as the complexity of the solution in terms of the quantity and composition of the ions increased, the energy required for the separation process decreased. Full article
(This article belongs to the Special Issue Membrane Synthesis and Progress in Membrane Reactor)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-5
Back to TopTop