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.

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.

scholarly journals Design and Optimization of a Hyper-Branched Polyimide Proton Exchange Membrane with Ultra-High Methanol-Permeation Resistivity for Direct Methanol Fuel Cells Applications

Polymers ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1175 ◽  
Author(s):  
Liying Ma ◽  
Guoxiao Xu ◽  
Shuai Li ◽  
Jiao Ma ◽  
Jing Li ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Composite Membrane ◽  
Direct Methanol Fuel Cell ◽  
Polyvinylidene Fluoride ◽  
Proton Exchange Membrane ◽  
Direct Methanol Fuel Cells ◽  
Proton Exchange ◽  
Direct Methanol ◽  
Methanol Fuel Cell ◽  
Methanol Permeation

A hyper-branched sulfonated polyimide (s-PI) was synthesized successfully and composited with polyvinylidene fluoride (PVDF) to achieve ultra-high methanol-permeation resistive for direct methanol fuel cell application. The optimized s-PI-PVDF composite membrane exhibited methanol resistivity low to 1.80 × 10−8 cm2/s, two orders of magnitude lower than the value of the commercial Nafion 117 membrane (60 × 10−7 cm2/s). At the same time, the tensile strength of the composite membrane is 22 MPa, which is comparable to the value of the Nafion 117 membrane. Therefore, the composite membrane is promising for application in direct methanol fuel cell.

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.

Nafion® and nano-size TiO2–SO42− solid superacid composite membrane for direct methanol fuel cell

2008 ◽  
Vol 313 (1-2) ◽  
pp. 336-343 ◽  
Author(s):  
Zhimou Wu ◽  
Gongquan Sun ◽  
Wei Jin ◽  
Hongying Hou ◽  
Suli Wang ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Composite Membrane ◽  
Direct Methanol Fuel Cell ◽  
Solid Superacid ◽  
Direct Methanol ◽  
Nano Size ◽  
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.

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