Performance enhancement of direct methanol fuel cells using a methanol barrier boron nitride–Nafion hybrid membrane

2020 ◽  
Vol 44 (18) ◽  
pp. 7338-7349 ◽  
Author(s):  
V. Parthiban ◽  
A. K. Sahu
Keyword(s):  
Boron Nitride ◽  
Direct Methanol Fuel Cell ◽  
Performance Enhancement ◽  
Direct Methanol Fuel Cells ◽  
Hexagonal Boron Nitride ◽  
Hybrid Membrane ◽  
Hybrid Membranes ◽  
Direct Methanol ◽  
Methanol Fuel Cells ◽  
Methanol Fuel Cell

Sulfonated hexagonal boron nitride is explored as a potential filler to prepare Nafion hybrid membranes for direct methanol fuel cell (DMFC) applications.

Catalytic performance of a pyrolyzed graphene supported Fe–N–C composite and its application for acid direct methanol fuel cells

RSC Advances ◽  
2016 ◽  
Vol 6 (93) ◽  
pp. 90797-90805 ◽  
Author(s):  
Jingjing Xi ◽  
Fang Wang ◽  
Riguo Mei ◽  
Zhijie Gong ◽  
Xianping Fan ◽  
...  
Keyword(s):  
Graphene Oxide ◽  
Direct Methanol Fuel Cell ◽  
Carbon Nitride ◽  
Direct Methanol Fuel Cells ◽  
Catalytic Performance ◽  
Reduction Reaction ◽  
Composite Catalyst ◽  
Direct Methanol ◽  
Methanol Fuel Cells ◽  
Methanol Fuel Cell

A graphene supported Fe–N–C composite catalyst, synthesized by pyrolysis of graphene oxide, graphitic carbon nitride, ferric chloride and carbon black, was evaluated for the acid oxygen reduction reaction and the direct methanol fuel cell.

Mass Transport Inside a Flowing Electrolyte Direct Methanol Fuel Cell

2004 ◽  
Author(s):  
M. R. Golriz ◽  
J. Gu ◽  
D. James
Keyword(s):  
Direct Methanol Fuel Cell ◽  
Proton Exchange Membrane ◽  
Direct Methanol Fuel Cells ◽  
Proton Exchange ◽  
Methanol Crossover ◽  
Different Types ◽  
Direct Methanol ◽  
Methanol Fuel Cells ◽  
Exchange Membrane ◽  
Methanol Fuel Cell

In this work, analytical mass transfer models are developed for two different types of Direct Methanol Fuel Cells (DMFCs). One type is a conventional assembly with a proton exchange membrane (PEM) and the other utilizes a flowing electrolyte in addition to a PEM to reduce methanol crossover. These models are used to predict methanol crossover behaviour that is a major issue affecting the efficiencies of PEM-DMFCs. It is shown that using flowing electrolyte DMFCs can lead to a significant decrease in methanol crossover with a corresponding increase in electrical efficiency of the cell. Combined with the experiments carried out in a previous work, the simulation showed significant efficiency improvements when using a flowing electrolyte DMFC compared to a traditional PEM assembly.

Facile preparation of mesoporous graphenes by the sacrificial template approach for direct methanol fuel cell application

2014 ◽  
Vol 2 (46) ◽  
pp. 19914-19919 ◽  
Author(s):  
Jianyu Cao ◽  
Hui Zhuang ◽  
Mengwei Guo ◽  
Hongning Wang ◽  
Juan Xu ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Fuel Cell ◽  
Diffusion Layer ◽  
Direct Methanol Fuel Cell ◽  
Direct Methanol Fuel Cells ◽  
Fuel Cell Application ◽  
Direct Methanol ◽  
Facile Preparation ◽  
Methanol Fuel Cells ◽  
Methanol Fuel Cell

Mesoporous graphenes were synthesized via a template-assisted pyrolysis approach and used as a material for a porous diffusion layer in direct methanol fuel cells.

Biopolymer-based electrolyte membranes from chitosan incorporated with montmorillonite-crosslinked GPTMS for direct methanol fuel cells

RSC Advances ◽  
2016 ◽  
Vol 6 (3) ◽  
pp. 2314-2322 ◽  
Author(s):  
Mochammad Purwanto ◽  
Lukman Atmaja ◽  
Mohamad Azuwa Mohamed ◽  
M. T. Salleh ◽  
Juhana Jaafar ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Fuel Cell ◽  
Composite Membrane ◽  
Direct Methanol Fuel Cell ◽  
Direct Methanol Fuel Cells ◽  
Electrolyte Membranes ◽  
Direct Methanol ◽  
Methanol Fuel Cells ◽  
Methanol Fuel Cell

A composite membrane was fabricated from biopolymer chitosan and montmorillonite (MMT) filler as an alternative membrane electrolyte for direct methanol fuel cell (DMFC) application.

Nanosized Mo-doped CeO2 enhances the electrocatalytic properties of the Pt anode catalyst in direct methanol fuel cells

2017 ◽  
Vol 5 (4) ◽  
pp. 1481-1487 ◽  
Author(s):  
Genlei Zhang ◽  
Zhenzhen Yang ◽  
Wen Zhang ◽  
Yuxin Wang
Keyword(s):  
Fuel Cell ◽  
Power Density ◽  
Direct Methanol Fuel Cell ◽  
Direct Methanol Fuel Cells ◽  
State Of The Art ◽  
Anode Catalyst ◽  
Direct Methanol ◽  
Methanol Fuel Cells ◽  
Doped Ceo2 ◽  
Methanol Fuel Cell

A novel Pt/Ce0.7Mo0.3O2−δ–C electrocatalyst has been developed for methanol oxidation. A direct methanol fuel cell integrating this catalyst as the anode catalyst showed superior power density compared to that with a state-of-the-art commercial Pt/C-JM catalyst.

Proton Conducting Hybrid Membranes Based on Aromatic Polymers Blends for Direct Methanol Fuel Cell Applications

Fuel Cells ◽  
2009 ◽  
Vol 9 (4) ◽  
pp. 387-393 ◽  
Author(s):  
C. de Bonis ◽  
A. D'Epifanio ◽  
M. L. Di Vona ◽  
C. D'Ottavi ◽  
B. Mecheri ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Direct Methanol Fuel Cell ◽  
Hybrid Membranes ◽  
Proton Conducting ◽  
Aromatic Polymers ◽  
Direct Methanol ◽  
Methanol Fuel Cell

Direct methanol fuel cell modeling based on the norm optimal iterative learning control

2020 ◽  
Vol 235 (1) ◽  
pp. 68-79
Author(s):  
Nastaran Shakeri ◽  
Zahra Rahmani ◽  
Abolfazl Ranjbar Noei ◽  
Mohammadreza Zamani
Keyword(s):  
Fuel Cell ◽  
Iterative Learning Control ◽  
Direct Methanol Fuel Cell ◽  
Direct Methanol Fuel Cells ◽  
Learning Control ◽  
Iterative Learning ◽  
Operating Conditions ◽  
Primary Model ◽  
Direct Methanol ◽  
Methanol Fuel Cell

Direct methanol fuel cells are one of the most promisingly critical fuel cell technologies for portable applications. Due to the strong dependency between actual operating conditions and electrical power, acquiring an explicit model becomes difficult. In this article, the behavioral model of direct methanol fuel cell is proposed with satisfactory accuracy, using only input/output measurement data. First, using the generated data which are tested on the direct methanol fuel cell, the frequency response of the direct methanol fuel cell is estimated as a primary model in lower accuracy. Then, the norm optimal iterative learning control is used to improve the estimated model of the direct methanol fuel cell with a predictive trial information algorithm. Iterative learning control can be used for controlling systems with imprecise models as it is capable of correcting the input control signal in each trial. The proposed algorithm uses not only the past trial information but also the future trials which are predicted. It is found that better performance, as well as much more convergence speed, can be achieved with the predicted future trials. In addition, applying the norm optimal iterative learning control on the proposed procedure, resulted from the solution of a quadratic optimization problem, leads to the optimal selection of the control inputs. Simulation results demonstrate the effectiveness of the proposed approach by practical data.

Overview of hybrid membranes for direct-methanol fuel-cell applications

2010 ◽  
Vol 35 (5) ◽  
pp. 2160-2175 ◽  
Author(s):  
H. Ahmad ◽  
S.K. Kamarudin ◽  
U.A. Hasran ◽  
W.R.W. Daud
Keyword(s):  
Fuel Cell ◽  
Direct Methanol Fuel Cell ◽  
Hybrid Membranes ◽  
Direct Methanol ◽  
Methanol Fuel Cell

scholarly journals A Novel Button-Type Micro Direct Methanol Fuel Cell with Graphene Diffusion Layer

Micromachines ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 658
Author(s):  
Zhu ◽  
Gao ◽  
Li
Keyword(s):  
Fuel Cell ◽  
Power Density ◽  
Direct Methanol Fuel Cell ◽  
Direct Methanol Fuel Cells ◽  
Effective Area ◽  
Unit Weight ◽  
Specific Power ◽  
Large Area ◽  
Direct Methanol ◽  
Methanol Fuel Cell

In order to solve the problem that bolts in traditional packaged direct methanol fuel cells (DMFCs) take up a large area and reduce the specific energy (energy per unit weight) and power density (power per unit area), a new button-type micro direct methanol fuel cell (B-μDMFC) is designed, assembled, and packaged. The cell with four different structures was tested before and after packaging. The results indicate that the button cell with three-dimensional graphene and springs has the best performance. The equivalent circuit and methanol diffusion model was applied to explain the experimental results. The peak volumetric specific power density of the cell is 11.85 mW cm−3. This is much higher than traditional packaged DMFC, because the novel B-μDMFC eliminates bolts in the structure and improves the effective area ratio of the cell.

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