Zhixuan Ying, Yindong Wang, Wenjie Xi, Kejie Feng, Le Shi
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引用次数: 0
Abstract
Direct methanol fuel cells (DMFCs) offer a promising power source by utilizing liquid-state methanol as fuel, providing easy storage and transportability. Currently, DMFCs commonly employ perfluorosulfonic acid membranes, such as the well-known Nafion membrane, as proton exchange membranes. However, perfluorosulfonic acid membranes have significant drawbacks in DMFCs, including a high crossover rate, substantial swelling, poor thermal stability, and elevated costs. The crossover of methanol fuel to the cathode side is particularly detrimental as it can poison the precious Pt catalyst, leading to damage in the fuel cell system. In this manuscript, we propose a non-ionic proton exchange membrane based on the Polycarbonate Track Etched (PCTE) membrane. The aligned nanopores in pristine PCTE, with a regular diameter, facilitate proton passage while mitigating the crossover of methanol molecules. This results in satisfactory proton conductivity and selectivity comparable to that of the commercial Gore membrane. By adding a layer of graphene treated with oxygen plasma for 10 seconds, methanol permeation can be reduced by 16.44%, while achieving a 42.11% increase in proton conductivity compared to the commercial Gore membrane. Furthermore, PCTE material offers a more cost-effective alternative to Gore membrane, with a 18.37 % lower swelling ratio and significantly higher stability. These characteristics make PCTE a promising choice for DMFCs, offering potential improvements in performance and cost-effectiveness.
期刊介绍:
Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions.
The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.